i-manager Publications

i-manager's Journal on Instrumentation and Control Engineering (JIC)

Current Issue Vol. 12 Issue 1

Most Cited

Diagnosis of Air-Gap Eccentricity Fault for Inverter Driven Induction Motor Drives in the Transient Condition
Modelling and Simulation Study of a Helicopter with an External Slung Load System
Comparative Study of Single Phase Power Inverters Based on Efficiency and Harmonic Analysis
LabVIEW Based Design and Analysis of Fuzzy Logic, Sliding Mode and PID Controllers for Level Control in Split Range Plant
Trichotomous Exploratory Data Analysis [Tri–EDA]: A Post Hoc Visual Statistical Cumulative Data Analysis Instrument Designed to Present the Outcomes of Trichotomous Investigative Models

Volume 5 Issue 4 August - October 2017

Research Paper

Stability Analysis of a Three-Phase Induction Motor Drive using Variable Frequency Technique

Mohd. Sarfaraz Alam* , M. Rizwan Khan**

* Lecturer, Department of Electrical Engineering, University Polytechnic, Aligarh Muslim University, Aligarh, India.

** Professor, Department of Electrical Engineering, Aligarh Muslim University, Aligarh, India.

Alam. M.S., and Khan, M.R. (2017). Stability Analysis of a Three-Phase Induction Motor Drive Using Variable Frequency Technique. i-manager’s Journal on Instrumentation and Control Engineering, 5(4), 1-9. https://doi.org/10.26634/jic.5.4.13839

Abstract

This paper deals with the stability analysis of three-phase Induction motor drive using three stability criteria, namely Root locus, Bode plot, and Nyquist plot. etc. of the control system. The dynamic model of three-phase induction motor drive is designed. This model has been derived using two-phase motor in direct and quadrature axes. This approach is desirable because of the conceptual simplicity obtained with a two sets of windings, one on the stator and other on the rotor. The required transformation in voltages, currents, or flux linkages are derived in a generalized way. The mathematical equations so obtained are non-linear in nature. The mathematical model used is linearized around an operating point using the perturbation technique. The transfer function of three-phase induction motor drive is determined at different rotor frequencies and hence rotor speeds. The effect on stability of the drive is assessed at different frequency conditions. The rotor frequency (f ) and hence corresponding speed (w =2πf ) at which the drive is unstable is reported. This analysis is r r r carried out using MatLab codes.

References

[1]. Alam, M. S. & Khan, M. R. (2016). Stability Analysis of five phase Induction motor drive using variable frequency technique. Universal Journal of Electrical & Electronics Engg., 4(5), 120-128.

[2]. Alam, M. S., Khan, M. R., & Arora, R. (2016). Stability Analysis of five phase induction motor drive using conventional technique. IEEE International Conference on Electrical, Electronics & Optimization Techniques (ICEEOT).

[3]. Bose, B. K. (2006). Modern Power Electronics and AC Drives. PHI New Delhi.

[4]. Brereton, D. S., Lewis, D. G., & Young, C. C. (1957). Representation of induction-motor loads during powersystem stability studies. Transactions of the American Institute of Electrical Engineers. Part III: Power Apparatus and Systems, 76(3), 451-460.

[5]. Cornell, E. P. & Lipo, T. A. (1977). Modeling and design of controlled current induction motor drive systems. IEEE Transactions on Industry Applications, (4), 321-330.

[6]. Fallside, F. & Wortley, A. T. (1969, June). Steady-state oscillation and stabilisation of variable-frequency invertorfed induction-motor drives. In Proceedings of the Institution of Electrical Engineers (Vol. 116, No. 6, pp. 991-999). IET Digital Library.

[7]. Krause, P., Wasynczuk, O., Sudhoff, S. D., & Pekarek, S. (2013). Analysis of Electric Machinery and Drive Systems (Vol. 75). John Wiley & Sons.

[8]. Krishnan, R. (2009). Electric Motor Drives Modeling, Analysis, and Control. PHI learning Private limited, New Delhi, India.

[9]. Lindsay, J. F. & Rashid, M. H. (1986). Electrical Machinery. Prentice-Hall, Inc., Englewood Cliffs, NJ.

[10]. Lipo, T. A. & Krause, P. C. (1969). Stability analysis of a rectifier-inverter induction motor drive. IEEE Transactions on Power Apparatus and Systems, (1), 55-66.

[11]. MacDonald, M. L. & Sen, P. C. (1979). Control loop study of induction motor drives using DQ model. IEEE Transactions on Industrial Electronics and Control Instrumentation, (4), 237-243.

[12]. Park, R. H. (1929). Two-reaction theory of synchronous machines generalized method of analysis-part I. Transactions of the American Institute of Electrical Engineers, 48(3), 716-727.

[13]. Sarma, M. S. (1964). Electric Machinery. Pergamon Press, The Macmillan Company.

[14]. Say, M. G. (1958). The performance and design of alternating current machines: transformers, three-phase induction motors and synchronous machines. The Engilsh Language Book Society and Pitman Publishing.

[15]. Slemon, G. R. & Straughen, A. (1980). Electric Machines. Addison Wesley Publishing Company.

[16]. Stanley, H. C. (1938). An analysis of the induction machine. Electrical Engineering, 57(12), 751-757.

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Research Paper

Design and Implementation of a Novel Type Nonlinear Temperature Controller for Induction Generator

Suresh Makkena* , 0**

* Assistant Professor, Department of Electrical & Electronics Engineering, Gudlavelleru Engineering College, Gudlavalleru, India.

** Professor, Department of Electrical & Electronics Engineering, Gudlavelleru Engineering College, Gudlavalleru, India.

Makkena, S., and Mary, K.A. (2017). Design and Implementation of a Novel Type Nonlinear Temperature Controller for Induction Generator. i-manager’s Journal on Instrumentation and Control Engineering, 5(4), 10-14. https://doi.org/10.26634/jic.5.4.13840

Abstract

Generally, the rating of an electrical machine is determined by its thermal limits. Induction generator is majorly used in wind power plants, to determine the operating speed of the induction generator, which is based on the wind speed. Hence the frequency of the generated voltage and current is variable. This paper presents a nonlinear temperature controller to estimate the saturated/steady state stator winding temperature at different operating currents and frequencies. A digital temperature sensor is used to measure the saturated winding temperature of the transformer at different currents and frequencies. By using polynomial curve fitting technique a nonlinear controller is implemented based on the experimental results, which is further used to estimate the saturated winding temperature of induction generator at different loads and frequencies. This is justified, verified and validated by experimental results.

References

[1]. Ayachit, A. & Kazimierczuk, M. K. (2013). Thermal effects on inductor winding resistance at high frequencies. IEEE Magnetics Letters, 4, 0500304-0500304.

[2]. Boulter, E. A. & Stone, G. C. (2004). Historical development of rotor and stator winding insulation materials and systems. IEEE Electrical Insulation Magazine, 20(3), 25-39.

[3]. Farag, S. F., Bartheld, R. G., & May, W. E. (1993, May). Electronically enhanced low voltage motor protection and control. In Industrial and Commercial Power Systems Technical Conference, 1993. Conference Record, Papers Presented at the 1993 Annual Meeting (pp. 166-174). IEEE.

[4]. Guenov, S. Y., Florov, P. I., & Ibeh, C. C. (1992). Steady- state thermal analysis of induction motors by finite element method. Conference record of ICEM 92, Manchester, UK, 1992 (pp. 948- 952).

[5]. Hurst, K. D. & Habetler, T. G. (1997, October). A thermal monitoring and parameter tuning scheme for induction machines. In Industry Applications Conference, 1997. Thirty-Second IAS Annual Meeting, IAS'97. Conference Record of the 1997 IEEE (Vol. 1, pp. 136-142). IEEE.

[6]. Kral, C., Habetler, T. G., Harley, R. G., Pirker, F., Pascoli, G., Oberguggenberger, H. et al. (2004). Rotor temperature estimation of squirrel-cage induction motors by means of a combined scheme of parameter estimation and a thermal equivalent model. IEEE Transactions on Industry Applications, 40(4), 1049-1057.

[7]. Lee, S. B., Habetler, T. G., Harley, R. G., & Gritter, D. J. (2002). An evaluation of model-based stator resistance estimation for induction motor stator winding temperature monitoring. IEEE Transactions on Energy Conversion, 17(1), 7-15.

[8]. Rood, R. E. (1963). Method for Estimating the Thermal Life Expectancy of Distribution Transformers. IEEE Transactions on Power Apparatus and Systems, 82(69), 1015-1018.

[9]. Son, K. T. & Lee, C. C. (2012). Temperature measurement of high-density winding coils of electromagnets. IET Science, Measurement & Technology, 6(1), 1-5.

[10]. Wu, Y. & Gao, H. (2006). Induction-motor stator and rotor winding temperature estimation using signal injection method. IEEE Transactions on Industry Applications, 42(4), 1038-1044.

[11]. Zocholl, S. E. (1990). Motor analysis and thermal protection. IEEE Transactions on Power Delivery, 5(3), 1275- 1280.

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Research Paper

Adaptive Tuned Proportional-Integral-Derivative Controller for Multi-machine Power System Network Using BFO Algorithm

Aparjitha Agarwal* , Mahesh Singh, Shimpy Ralhan*, Vishnu Kumar Sahu****

, Postgraduate, Department of Electrical & Electronics Engineering, SSTC, Bhilal (CG), India.

Assistant Professor, Department of Electrical & Electronics Engineering, SSTC, Bhilal (CG), India.

Associate Professor, Department of Electrical & Electronics Engineering, SSTC, Bhilal (CG), India.

Agrawal, A., Singh, M., and Sahu, V.K. (2017). Adaptive Tuned Proportional-Integral-Derivative Controller for Multi-machine Power System Network Using BFO Algorithm. i-manager’s Journal on Instrumentation and Control Engineering, 5(4), 15-22. https://doi.org/10.26634/jic.5.4.13841

Abstract

The objective of this work is tuning of Proportional-Integral-Derivative (PID) controller parameter for designing a Multimachine Power System Network. Proportional-Integral-Derivative (PID) is widely used now-a-days in power systems, not only to improve small signal stability, but also for enhancing system damping. Further the structure of PID controller is also relative with simplicity and work as a function approximator. Bacterial Foraging Optimization (BFO) algorithm is a popular evolutionary algorithm, which is generally used for tuning of PID controllers. This proposed approach is easy for implementation as well as has superior feature. The efficiency of power system is also improving by this approach and convergence characteristics are also stable. The system Scheduling BFO-PID controller is modeled in MATLAB.

References

[1]. Ali, A. & Majhi, S. (2006, December). Design of optimum PID controller by bacterial foraging strategy. In Industrial Technology, 2006. ICIT 2006. IEEE International Conference on (pp. 601-605). IEEE.

[2]. Calistru, C. N. & Timofte, D. (2015, November). Symbolic to genetic tuning of PID controllers. In E-Health and Bio Engineering Conference (EHB), 2015 (pp. 1-4). IEEE.

[3]. Fan, X., Cao, J., Yang, H., Dong, X., Liu, C., Gong, Z. et al. (2013, December). Optimization of PID parameters based on improved particle-swarm-optimization. In Information Science and Cloud Computing Companion (ISCC-C), 2013 International Conference on (pp. 393-397). IEEE.

[4]. Gandhi, P. R. & Joshi, S. K. (2011, December). Design of PID power system stabilizer using GA for SMIB system: Linear and non-linear approach. In Recent Advancements in Electrical, Electronics and Control Engineering (ICONRAEeCE), 2011 International Conference on (pp. 319-323). IEEE.

[5]. Jalilvand, A., Vahedi, H., & Bayat, A. (2010, June). Optimal tuning of the PID controller for a buck converter using bacterial foraging algorithm. In Intelligent and Advanced Systems (ICIAS), 2010 International Conference on (pp. 1-5). IEEE.

[6]. Jebali, M., Kahouli, O., & Abdallah, H. H. (2016, May). Power system stabilizer parameters optimization using th genetic algorithm. In Systems and Control (ICSC), 2016 5 International Conference on (pp. 78-83). IEEE.

[7]. Kamdar, R., Kumar, M., & Agnihotri, G. (2014). Transient stability analysis and enhancement of IEEE-9 bus system. Electrical & Computer Engineering: An International Journal, 3(2), 41-51.

[8]. Korani, W. M., Dorrah, H. T., & Emara, H. M. (2009, December). Bacterial foraging oriented by particle swarm optimization strategy for PID tuning. In Computational Intelligence in Robotics and Automation (CIRA), 2009 IEEE International Symposium on (pp. 445-450). IEEE.

[9]. Lakshmi, K. V. & Srinivas, P. (2015). Optimal tuning of PID controller using Particle Swarm Optimization. In 2015 International Conference on Electrical, Electronics, Signals, Communication and Optimization (EESCO).

[10]. Mo, H. & Yin, Y. (2011, July). Research on PID tuning of servo-system based on bacterial foraging algorithm. In Natural Computation (ICNC), 2011 Seventh International Conference on (Vol. 3, pp. 1758-1762). IEEE.

[11]. Naresh, G., Raju, M. R., Ravindra, K., & Narasimham, S. V. L. (2011). Optimal design of multi-machine power system stabilizer using genetic algorithm. Innovative Syst. Des. Eng., 2(4), 54-70.

[12]. Precup, R. E., Borza, A. L., Radac, M. B., & Petriu, E. M. (2014, May). Performance analysis of torque motor systems with PID controllers tuned by bacterial foraging optimization algorithms. In Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA), 2014 IEEE International Conference on (pp. 141-146). IEEE.

[13]. Singh, M., Patel, R. N., & Jhapte, R. (2016, January). Performance comparison of optimized controller tuning techniques for voltage stability. In Control, Measurement and Instrumentation (CMI), 2016 IEEE First International Conference on (pp. 11-15). IEEE.

[14]. Suman, S. K. & Giri, V. K. (2016, March). Speed control of DC motor using optimization techniques based PID Controller. In Engineering and Technology (ICETECH), 2016 IEEE International Conference on (pp. 581-587). IEEE.

[15]. Vishal, V., Kumar, V., Rana, K. P. S., & Mishra, P. (2014, February). Comparative study of some optimization techniques applied to DC motor control. In Advance Computing Conference (IACC), 2014 IEEE International (pp. 1342-1347). IEEE.

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Research Paper

Design of Photovoltaic based Battery Charger using Sliding Mode MPPT Control

R. Ramkumar* , A. Arunvikram**

*-** Assistant Professor, Department of Electrical and Electronics Engineering, K. Ramakrishnan College of Technology, Tiruchirapalli, Tamilnadu, India.

Ramkumar, R., and Arunvikram, A. (2017). Design of Photovoltaic based Battery Charger using Sliding Mode MPPT Control. i-manager’s Journal on Instrumentation and Control Engineering, 5(4), 23-31. https://doi.org/10.26634/jic.5.4.13842

Abstract

A Photovoltaic PV module along with an interconnection which gives a proper voltage and current to charge rechargeable batteries is termed as PV Battery Charger. The interconnection system used is a DC-DC converter which provides suitable charging voltage and current to the battery. Maximum Power Point Tracking is very unique to the field of PV systems to extract maximum power during operation. There are many conventional methods available for Maximum power point tracking, but they fail under rapidly varying weather conditions. To overcome this problem, non linear controllers are utilized much in the field of photovoltaic system. In this paper, the Sliding Mode Controller is implemented as the MPPT algorithm to deliver maximum power even under rapidly varying environmental conditions, disturbances, and system uncertainties. The obtained results indicate that the Sliding Mode Controller provides robustness under varying weather conditions compared to the conventional MPPT algorithms.

References

[1]. Anand, R. & Ali, A. N. (2011). A Single phase Five level Inverter for Grid Connected Photovoltaic System by employing PID Controller. African Journal of Scientific Research, 6(1), 306-315.

[2]. Bellia, H., Youcef, R., & Fatima, M. (2014). A detailed modeling of photovoltaic module using MATLAB. NRIAG Journal of Astronomy and Geophysics, 3(1), 53-61.

[3]. Chiu, C.-S., Ouyang, Y.-L., & Ku, C.-Y. (2012). Terminal sliding mode control for maximum power point tracking of photovoltaic power generation systems. Solar Energy, 86(10), 2986-2995.

[4]. Chu, C.-C. & Chen, C.-L. (2009). Robust maximum power point tracking method for photovoltaic cells: A sliding mode control approach. Solar Energy, 83(8), 1370–1378.

[5]. Dahech, K., Allouche, M., Damak, T., & Tadeo, F. (2017). Backstepping sliding mode control for maximum power point tracking of a photovoltaic system. Electric Power Systems Research, 143, 182-188.

[6]. Farhat, M., Barambones, O., & Sbita, L. (2016). A new maximum power point method based on a sliding mode approach for solar energy harvesting. Applied Energy, 185(2), 1185-1198.

[7]. Mule, S. M. & Sankeshwari, S. S. (2015). Sliding Mode Control based Maximum Power Point Tracking of PV System. IOSR Journal of Electrical and Electronics Engineering Ver. II, 10(4), 2278–1676.

[8]. Ramkumar, R. (2015). High current and High Voltage Gain Soft Switched Multiphase Multilevel Modular DC-DC Converter. International Journal of Applied Engineering Research, 10, 7686-7689.

[9]. Ramkumar, R. & Tejaswini, N. (2016). A novel low cost three arm AC automatic voltage regulator. Advances in Natural and Applied Sciences, 10(3), 142-152.

[10]. Ramkumar, R., Ezhilarasi, M., & Sonar, D. (2016). PV based SEPIC converter fed four switch BLDC motor drive. Advances in Natural and Applied Sciences, 10(3), 129- 136.

[11]. Rekioua, D., Achour, A. Y., & Rekiouaa, T. (2013). Tracking power photovoltaic system with sliding mode control strategy. Energy Procedia, 36, 219-230.

[12]. Rezk, H. & Eltamaly, A. M. (2015). A comprehensive comparison of different MPPT techniques for photovoltaic systems. Solar Energy, 112, 1-11.

[13]. Utkin, V. (2013). Sliding mode control of DC/DC converters. Journal of the Franklin Institute, 350(8), 2146–2165.

[14]. Wai, R. J. & Shih, L. C. (2011). Design of voltage tracking control for DC-DC boost converter via total slidingmode technique. IEEE Transactions on Industrial Electronics, 58(6), 2502–2511. http://doi.org/10. 1109/TIE.2010.2066539

[15]. Yatimi, H. & Aroudam, E. (2016). Assessment and control of a photovoltaic energy storage system based on the robust sliding mode MPPT controller. Solar Energy, 139, 557-568.

[16]. Zhang, F., Maddy, J., Premier, G., & Guwy, A. (2015). Novel current sensing photovoltaic maximum power point tracking based on sliding mode control strategy. Solar Energy, 118, 80-86.

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Research Paper

Modeling and Open Phase Fault Analysis in Three and Five Phase Permanent Magnet Synchronous Motor Machine

Khadim Moin Siddiqui* , Kuldeep Sahay, V. K. Giri*

* Associate Professor and Head, Department of Electrical Engineering, Guru Nanak Institute of Engineering & Management, Hoshiarpur, Punjab, India.

Professor, Department of Electrical Engineering, Institute of Engineering & Technology, Lucknow, India.

* Professor, Department of Electrical Engineering, Madan Mohan Malaviya University of Technology, Gorakhpur (UP), India.

Siddiqui, K.M., Sahay, K., and Giri, V.K. (2017). Modeling and Open Phase Fault Analysis in Three and Five Phase Permanent Magnet Synchronous Motor Machine. i-manager’s Journal on Instrumentation and Control Engineering, 5(4), 32-40. https://doi.org/10.26634/jic.5.4.13843

Abstract

Nowadays, permanent magnet machines are being popular in the industries due to its higher efficiency compared to conventional electric motors. This paper presents the modeling and simulation of three and five phase permanent magnet synchronous motor machine for healthy as well as open phase fault condition. In this paper, the crucial performance of the system has been analyzed before failure and after failure. The after effect of failures might result in costly damage and lead to another fault, if nothing is planned earlier for this fault protection. This undesirable situation ought to be averted, or at least there may be a fault tolerant function to deal with such failures. Therefore, a control scheme under an open or multiple phase fault has been discussed in this paper for multi-phase PMSM drive with sinusoidal back EMFs. In the three phase system, one phase has been kept open, whereas for five phase system, two phases kept open one by one for analysis purpose. The fault has been created only for some instant of time, after occurring fault, the PI controller compensated phase faults. Finally, it has been observed that the multi-phase machines have higher fault tolerant capability.

References

[1]. An, Q., Wang, G., & Sun, L. (2012, June). A fault-tolerant operation method of PMSM fed by cascaded two-level inverters. In Power Electronics and Motion Control th Conference (IPEMC), 2012 7 International (Vol. 2, pp. 1310-1313). IEEE.

[2]. Arafat, A. K. M. & Choi, S. (2016, March). Comparison of electrical losses in an inverter-fed five-phase and threephase permanent magnet assisted synchronous reluctance motor. In Applied Power Electronics Conference and Exposition (APEC), 2016 IEEE (pp. 2847- 2854). IEEE.

[3]. Hwang, J. C. & Wei, H. T. (2014). The current harmonics elimination control strategy for six-leg three phase permanent magnet synchronous motor drives. IEEE Transactions on Power Electronics, 29(6), 3032-3040.

[4]. Liu, H. & Li, S. (2012). Speed control for PMSM servo system using predictive functional control and extended state observer. IEEE Transactions on Industrial Electronics, 59(2), 1171-1183.

[5]. Nagamani, C. & Somanatham, R. (2016). Design and Analysis of Traction Drive System for Hybrid Locomotives using 5-phase Permanent Magnet Synchronous Motors as Traction Motors. i-manager's Journal on Electrical Engineering, 10(2), 27-45. https://doi.org/10.26634/jee. 10.2.8324

[6]. Said, N. M., Xiao, D., Dutta, R., & Fletcher, J. E. (2016). Control strategy of post-fault operation in dual inverter-fed, PMSM considering zero sequence and back-emf th harmonic. 8 IET International Conference on Power Electronics, Machines and Drives (PEMD 2016) (pp. 1-6).

[7]. Shamsi-Nejad, M. A., Nahid-Mobarakeh, B., Pierfederici, S., & Meibody-Tabar, F. (2010, September). Control strategies for fault tolerant PM drives using series architecture. In Vehicle Power and Propulsion Conference (VPPC), 2010 IEEE (pp. 1-6). IEEE.

[8]. Siddiqui, K. M., Upadhyay, S. K., Singh, S., Srivastava, R. K., Babu, R. (2017). Performance and Analysis of PWM Inverter fed 3 Phase PMSM Drive, i-manager's Journal on Electronics Engineering, 8(1), 9-18.

[9]. Xia, C., Yan, Y., Song, P., & Shi, T. (2012). Voltage disturbance rejection for matrix converter-based PMSM drive system using internal model control. IEEE Transactions on Industrial Electronics, 59(1), 361-372.

[10]. Yu, L., Wang, C., Shi, H., Xin, R., & Wang, L. (2017, May). Simulation of PMSM field-oriented control based on SVPWM. In Control And Decision Conference (CCDC), 2017 th 29 Chinese (pp. 7407-7411). IEEE.

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Review Paper

The Load Frequency Control Techniques in Interconnected Power Systems critical survey

Mohsmed M. Elsaied* , Mahmoud Abdallah Attia*, Said F. Mekhamer

* Teacher Assistant, Department of Electrical Power & Machines, Ain Shams University, Cairo, Egypt.

, Assistant Professor, Department of Electrical Power & Machines, Ain Shams University, Cairo, Egypt.

* Professor, Department of Electrical Power & Machines, Ain Shams University, Cairo, Egypt.

Elsaied, M.M., Attia, M.A., Mostafa, M.A., and Mekhamer, S.F. (2017). The Load Frequency Control Techniques in Interconnected Power Systems critical survey. i-manager’s Journal on Instrumentation and Control Engineering, 5(4), 41-54. https://doi.org/10.26634/jic.5.4.13844

Abstract

Large power systems usually comprise more than one area connected together. Load frequency control becomes an important issue, especially with increasing size and complexity of Interconnected Power System (IPS). This paper is a review paper which contains different control schemes and different optimization techniques applied on different controllers to get the desired response of the system frequency and the power in the tie lines connecting the areas. The comparison is done from the point of view of the maximum shooting, settling time, and the system damping. The system under study is a multi-area system (2 areas, 3 areas, etc.). Controller types and optimization techniques will be reviewed latter in each reference.

References

[1]. Abd-Elazim, S. M. & Ali, E. S. (2016). Load frequency controller design of a two-area system composing of PV grid and thermal generator via firefly algorithm. Neural Computing and Applications, 1-10.

[2]. Ali, E. S. & Abd-Elazim, S. M. (2011). Bacteria Foraging Optimization algorithm based load frequency controller for interconnected power system. International Journal of Electrical Power & Energy Systems, 33(3), 633-638.

[3]. Alomoush, M. I. (2010). Load frequency control and automatic generation control using fractional-order controllers. Electrical Engineering (Archiv fur Elektrotechnik), 91(7), 357-368.

[4]. Atashpaz-Gargari, E. & Lucas, C. (2007, September). Imperialist competitive algorithm: an algorithm for optimization inspired by imperialistic competition. In Evolutionary Computation, 2007. CEC 2007. IEEE Congress on (pp. 4661-4667). IEEE.

[5]. Cai, J., Ma, X., Li, L., Yang, Y., Peng, H., & Wang, X. (2007). Chaotic ant swarm optimization to economic dispatch. Electric Power Systems Research, 77(10), 1373- 1380.

[6]. Çam, E. & Kocaarslan, I. (2005). Load frequency control in two area power systems using fuzzy logic controller. Energy Conversion and Management, 46(2), 233-243.

[7]. Dash, P., Saikia, L. C., & Sinha, N. (2016). Flower pollination algorithm optimized PI-PD cascade controller in automatic generation control of a multi-area power system. International Journal of Electrical Power & Energy Systems, 82, 19-28.

[8]. Demiroren, A. & Yesil, E. (2004). Automatic generation control with fuzzy logic controllers in the power system including SMES units. International Journal of Electrical Power & Energy Systems, 26(4), 291-305.

[9]. Dong, L., Zhang, Y., & Gao, Z. (2012). A robust d e c e n t r a l i z e d l o a d f r e q u e n c y c o n t r o l l e r f o r interconnected power systems. ISA Transactions, 51(3), 410-419.

[10]. Ghoshal, S. P. (2004). Optimizations of PID gains by particle swarm optimizations in fuzzy based automatic generation control. Electric Power Systems Research, 72(3), 203-212.

[11]. Goldberg, D. E. (1989). Genetic Algorithms in Search Optimization and Machine Learning. Addison-Wesley.

[12]. Golpira, H. & Bevrani, H. (2011). Application of GA optimization for automatic generation control design in an interconnected power system. Energy Conversion and Management, 52(5), 2247-2255.

[13]. Goyal, R. & Yadav, G. (2016). Load Frequency Control in three areas System by using Fuzzy Logic Controller and Fuel Cell. International Research Journal of Engineering and Technology (IRJET), 3(9), 567-570.

[14]. Guha, D., Roy, P. K., & Banerjee, S. (2016). Load frequency control of interconnected power system using grey wolf optimization. Swarm and Evolutionary Computation, 27, 97-115.

[15]. Jagatheesan, K., Anand, B., Samanta, S., Dey, N., Santhi, V., Ashour, A. S. et al. (2017). Application of flower pollination algorithm in load frequency control of multiarea interconnected power system with nonlinearity. Neural Computing and Applications, 28(1), 475-488.

[16]. Juang, C. F., & Lu, C. F. (2005). Power system load frequency control by genetic fuzzy gain scheduling controller. Journal of the Chinese Institute of Engineers, 28(6), 1013-1018.

[17]. Khezri, R., Golshannavaz, S., Shokoohi, S., & Bevrani, H. (2016). Fuzzy Logic based Fine-tuning Approach for Robust Load Frequency Control in a Multi-area Power System. Electric Power Components and Systems, 44(18), 2073-2083.

[18]. Khodabakhshian, A. & Hooshmand, R. (2010). A new PID controller design for automatic generation control of hydro power systems. International Journal of Electrical Power & Energy Systems, 32(5), 375-382.

[19]. Khuntia, S. R. & Panda, S. (2012). Simulation study for automatic generation control of a multi-area power system by ANFIS approach. Applied Soft Computing, 12(1), 333-341.

[20]. Kundur, P., Balu, N. J., & Lauby, M. G. (1994). Power System Stability and Control (Vol. 7). New York: McGraw-hill.

[21]. Mathur, H. D. & Manjunath, H. V. (2007). Frequency stabilization using fuzzy logic based controller for multi-area power system. The South Pacific Journal of Natural and Applied Sciences, 25(1), 22-29.

[22]. Mohanty, B., Panda, S., & Hota, P. K. (2014). Differential evolution algorithm based automatic generation control for interconnected power systems with non-linearity. Alexandria Engineering Journal, 53(3), 537-552.

[23]. Nikmanesh, E., Hariri, O., Shams, H., & Fasihozaman, M. (2016). Pareto design of load frequency control for interconnected power systems based on Multi-objective Uniform Diversity Genetic Algorithm. International Journal of Electrical Power & Energy Systems, 80, 333-346.

[24]. Padhan, D. G. & Majhi, S. (2013). A new control scheme for PID load frequency controller of single-area and multi-area power systems. ISA Transactions, 52(2), 242- 251.

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i-manager's Journal on Instrumentation and Control Engineering (JIC)

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Volume 5 Issue 4 August - October 2017

Stability Analysis of a Three-Phase Induction Motor Drive using Variable Frequency Technique

Mohd. Sarfaraz Alam* , M. Rizwan Khan**

* Lecturer, Department of Electrical Engineering, University Polytechnic, Aligarh Muslim University, Aligarh, India. ** Professor, Department of Electrical Engineering, Aligarh Muslim University, Aligarh, India.

Alam. M.S., and Khan, M.R. (2017). Stability Analysis of a Three-Phase Induction Motor Drive Using Variable Frequency Technique. i-manager’s Journal on Instrumentation and Control Engineering, 5(4), 1-9. https://doi.org/10.26634/jic.5.4.13839

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Design and Implementation of a Novel Type Nonlinear Temperature Controller for Induction Generator

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* Assistant Professor, Department of Electrical & Electronics Engineering, Gudlavelleru Engineering College, Gudlavalleru, India. ** Professor, Department of Electrical & Electronics Engineering, Gudlavelleru Engineering College, Gudlavalleru, India.

Makkena, S., and Mary, K.A. (2017). Design and Implementation of a Novel Type Nonlinear Temperature Controller for Induction Generator. i-manager’s Journal on Instrumentation and Control Engineering, 5(4), 10-14. https://doi.org/10.26634/jic.5.4.13840

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Adaptive Tuned Proportional-Integral-Derivative Controller for Multi-machine Power System Network Using BFO Algorithm

Aparjitha Agarwal* , Mahesh Singh**, Shimpy Ralhan***, Vishnu Kumar Sahu****

Agrawal, A., Singh, M., and Sahu, V.K. (2017). Adaptive Tuned Proportional-Integral-Derivative Controller for Multi-machine Power System Network Using BFO Algorithm. i-manager’s Journal on Instrumentation and Control Engineering, 5(4), 15-22. https://doi.org/10.26634/jic.5.4.13841

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Design of Photovoltaic based Battery Charger using Sliding Mode MPPT Control

R. Ramkumar* , A. Arunvikram**

*-** Assistant Professor, Department of Electrical and Electronics Engineering, K. Ramakrishnan College of Technology, Tiruchirapalli, Tamilnadu, India.

Ramkumar, R., and Arunvikram, A. (2017). Design of Photovoltaic based Battery Charger using Sliding Mode MPPT Control. i-manager’s Journal on Instrumentation and Control Engineering, 5(4), 23-31. https://doi.org/10.26634/jic.5.4.13842

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Modeling and Open Phase Fault Analysis in Three and Five Phase Permanent Magnet Synchronous Motor Machine

Khadim Moin Siddiqui* , Kuldeep Sahay**, V. K. Giri***

Siddiqui, K.M., Sahay, K., and Giri, V.K. (2017). Modeling and Open Phase Fault Analysis in Three and Five Phase Permanent Magnet Synchronous Motor Machine. i-manager’s Journal on Instrumentation and Control Engineering, 5(4), 32-40. https://doi.org/10.26634/jic.5.4.13843

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The Load Frequency Control Techniques in Interconnected Power Systems critical survey

Mohsmed M. Elsaied* , Mahmoud Abdallah Attia*****, Said F. Mekhamer****

Elsaied, M.M., Attia, M.A., Mostafa, M.A., and Mekhamer, S.F. (2017). The Load Frequency Control Techniques in Interconnected Power Systems critical survey. i-manager’s Journal on Instrumentation and Control Engineering, 5(4), 41-54. https://doi.org/10.26634/jic.5.4.13844

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* Lecturer, Department of Electrical Engineering, University Polytechnic, Aligarh Muslim University, Aligarh, India.

** Professor, Department of Electrical Engineering, Aligarh Muslim University, Aligarh, India.

* Assistant Professor, Department of Electrical & Electronics Engineering, Gudlavelleru Engineering College, Gudlavalleru, India.

** Professor, Department of Electrical & Electronics Engineering, Gudlavelleru Engineering College, Gudlavalleru, India.

Aparjitha Agarwal* , Mahesh Singh, Shimpy Ralhan*, Vishnu Kumar Sahu****

Khadim Moin Siddiqui* , Kuldeep Sahay, V. K. Giri*

Mohsmed M. Elsaied* , Mahmoud Abdallah Attia*, Said F. Mekhamer