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

Current Issue Vol. 11 Issue 2

Neural Network-Based Monitoring of Critical Parameters in Drinking Water for Enhanced Quality Assurance
Monitoring and Improvement of PV Panel Efficiency Due to Thermal Effect
Model Predictive Control of a Serial Link Robot Manipulator
Direct Torque Control (DTC) and Three Phase Induction Motor Simulation in MATLAB/Simulink
IoT-Enabled Smart Water Tank Monitoring System with Android Application Control

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Volume 3 Issue 2 February - April 2015

Research Paper

Enhancement of Power Quality Using PI and Fuzzy Logic Controller Based Multilevel UPQC

M. S. Sujatha* , K. Venkateswarlu**

* Professor, Department of EEE, Sree Vidyanikethan Engineering College, Tirupati, Andhra Pradesh, India.

** Assistant Professor, Department of EEE, Vignan Institute of Science and Technology, Hyderabad, India.

Sujatha, M.S., and Venkateswarlu, K. (2015). Enhancement of Power Quality Using PI and Fuzzy Logic Controller Based Multilevel UPQC. i-manager’s Journal on Instrumentation and Control Engineering, 3(2), 1-9. https://doi.org/10.26634/jic.3.2.3534

Abstract

The power quality has become an important issue in recent years. The aim of this paper, is regulation of source voltage at the distribution side under voltage sag as well as harmonics. The Unified Power Quality Conditioner (UPQC) provides combined features of both series and shunt Active Power Filters (APFs). The cascaded multilevel inverter with sinusoidal switching scheme is employed for low Total Hormonic Distortion (THD) in the output. The UPQC controller is designed based on synchronous dq0 transformation. In this paper, the UPQC performance with Proportional Integral (PI) controller and fuzzy logic controllers under sag and harmonics are analyzed in MATLAB environment.

References

[1]. H. Akagi, (1996). “New Trends in Active Filters for Power Conditioning”, IEEE Transactions on Industrial Applications, Vol. 32, No. 6, pp. 1312–1322.

[2]. H. Fujita and H. Akagi, (1998). "The Unified Power Quality Conditioner: The Integration of Series and Shunt Active Filters”, IEEE Transactions on Power Electronics, Vol. 13, No. 2, pp. 315-322.

[3]. E. H. Watanabe, (1990). “Series Active Filter for the DC Side of HVDC Transmission Systems”, In Proceedings of International Power Electronics Conference, pp. 1024–1030.

[4]. B. Han, B. Bae, S. Baek, and G. Jang, (2005). "New Configuration of UPQC for Medium-Voltage Application", IEEE Transactions on Power Delivery, Vol.21, No.3, pp.1438- 1444.

[5]. N. Farokhnia, S.H. Fathi, H. R Toodeji, (2011). “Voltage Sag and Unbalance Mitigation in Distribution Systems Using Multi-level UPQC”, IEEE Conference on Power Quality, pp.1- 5.

[6]. M. Basu, S. P. Das, and G. K. Dubey, (2008). “Investigation on the Performance of UPQC-Q for voltage Sag Mitigation and Power Quality Improvement at a Critical Load Point”, IET Generation Transmission Distribution, Vol. 2, No. 3, pp. 414– 423.

[7]. V. Khadkikar and A. Chandra, (2009). “A Novel Structure for Three-phase Four Wire Distribution System Utilizing Unified Power Quality Conditioner (UPQC)”, IEEE Transaction on Industrial Application, Vol. 45, No. 5, pp. 1897–1902.

[8]. V. Khadkikar and A. Chandra, (2008). “A New Control Philosophy for a Unified Power Quality Conditioner (UPQC) to Coordinate Load-reactive Power Demand between Shunt and Series Inverters”, IEEE Transaction Power Delivery, Vol. 23, No. 4, pp. 2522–2534.

[9]. Jose Rodriguez, Jih-Sheng Lai, Fang ZhengPeng, (2002). "Multilevel Inverters: A Survey of Topologies, Controls, and Applications”, IEEE Transaction on Industrials Electronics, Vol. 49, No.4, pp.724-738.

[10]. Mariusz Malinowski, K. Gopakumar, Jose Rodriguez, Marcelo A. Perez, (2010). "A Survey on Cascaded Multilevel Inverters”, IEEE Transaction on Industrial Electronics, Vol. 57, No. 7, pp.2197-2206.

[11]. F. Peng, J. McKeever, and D. Adams, (1998). "A Power Line Conditioner using Cascade Multilevel Inverters for Distribution Systems”, IEEE Transaction on Industrial Applications, Vol. 34, No. 6, pp. 1293- 1298.

[12]. F. Peng and J. Lai, (1995). "A Multilevel Voltage-source Inverter with Separate DC Source for Static Var Generation”, In Proceedings of IEEE/IAS Annual Meeting, pp. 2541-2548.

[13]. M. Bollen and M. Bollen, (2000). "Understanding Power Quality Problems: Voltage Sags and Interruptions", Piscataway, NJ: IEEE Press.

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Research Paper

Pulse Sensor for Diagnosis and Analysis of Heart Rate Using Peak Detection Technique

S. Priyadharshini* , R. Preetha**

*-** Assistant Professor, Department of ECE, Rajalakshmi Institute of Technology, Chennai, India.

Priyadharshini, S., and Preetha, R. (2015). Pulse Sensor for Diagnosis and Analysis of Heart Rate Using Peak Detection Technique. i-manager’s Journal on Instrumentation and Control Engineering, 3(2), 10-15. https://doi.org/10.26634/jic.3.2.3535

Abstract

This paper deals with the diagnosis and analysis of heart rate using Pulse sensor. Heart rate of a human body can be measured by considering the change of blood volume in fingertip with the help of microcontroller based methods. This method detects the volume change of blood by an optical sensor based on infrared technology. The main objective of this pulse sensor is to use Optical methodology to detect the blood flow through the index finger and offer the advantage of portability. The principle of Pulse sensor is that certain amount of light energy from infrared will be absorbed by blood cells and the remaining amount of light will be transmitted to the photodiode. Based on the amount of light transmitted, the flow of blood can be calculated, which is directly related to pulse rate. Advance Rise Machines (ARM) Microcontroller (LPC2148) is programmed to count the pulse and to display the heart rate digitally on an LCD. Peak detection algorithm plays an important role in diagnosing heart related diseases by comparing the pulse signal and the ECG signal using VB.NET tool.

References

[1]. C. Hlenschi, S. Corodeanu, and H. Chiriac, (2013). “Magnetoelastic Sensors for the Detections of Pulse Waves”, In IEEE Transactions on Magnetics,Vol. 49, No. 1 p.117 – 119.

[2]. James A. C. Patterson, Guang-Zhong Yang, (2011). “ Ratiometric Artifact Reduction in Low Power Reflective Photoplethysmography ”, In IEEE Transactions on Biomedical Circuits and systems, Vol. 5, No. 4 p.330 – 338.

[3]. Karandeep Malhi, Subhas Chandra Mukhopadhyay, Julia Schnepper, Mathias Haefke, and Hartmut Ewald, (2012). “A Zigbee-Based Wearable Physiological Parameters Monitoring System”, In IEEE Sensors Journal, Vol. 12, No. 3 p.423 – 430.

[4]. Kejia Li and Steve Warren, (2015). “A Wireless Reflectance Pulse Oximeter With Digital Baseline Control for Unfiltered Photoplethysmograms”, In IEEE Transactions on Biomedical Circuits and systems, Vol. 6, No. 3 p.269 – 278.

[5]. Kejia Li, Steve Warren and Balasubramaniam Natarajan, (2012). “On-board Tagging for Real-Time Quality Assessment of Photoplethysmograms Acquired by a Wireless Reflectance Pulse Oximeter”, In IEEE Transactions on Biomedical Circuits and Systems, Vol. 6, No. 1p. 54 – 63.

[6]. S. Andruschenko1, U. Timm, S. Koball, M. Hinz, J. Kraitl1, E. Lewis and H. EwalD, (2011). “Optical Sensor System for Peripheral Vascular Diagnostics of the patients based on Pulse Spectroscopy Method”, In IEEE Transactions on Biomedical Circuits and Systems, Vol.5, No.1 p.190-194.

[7]. Sebastijan Sprager, and Damjan Zazula, (2012). “Heartbeat and Respiration Detection From Optical Interferometric Signals by Using a Multi method Approach”, In IEEE Transactions on Biomedical Engineering, Vol. 59, No. 10, pp. 2922 – 2929.

[8]. Seung-Min Park, Jun-Yeup Kim, Kwang-Eun Ko, In-Hun Jang and Kwee-Bo Sim, (2013). “Real-Time Heart Rate Monitoring System Based on Ring-Type Pulse Oximeter Sensor”, Journal on Electrical Engineering Technology, Vol. 8, No. 2 p.376-384.

[9]. Sune Bro Duun, Rasmus G. Haahr, Karen Birkelund, and Erik V. Thomsen, (2010). “A Ring-Shaped Photodiode Designed for Use in a Reflectance Pulse Oximetry Sensor in Wireless Health Monitoring Applications”, In IEEE Sensors Journal, Vol. 10, No. 2, pp. 261 – 268.

[10]. Rasmus G. Haahr, Sune B. Duun, Mette H., Bo Belhage, Jan Larsen, Karen Birkelund, and Erik V. Thomsen, (2012). “An Electronic Patch for Wearable Health Monitoring by Reflectance Pulse Oximetry”, In IEEE Transactions on Biomedical Circuits and Systems, Vol. 6, No. 1, pp. 45 – 53.

[11]. Mohammad Abu Raihan Miah, ySaikat Basak, Md. Rafiul Huda and Apratim Roy, (2013). “ Low Cost Computer Based Heart Rate Monitoring System Using Fingertip and Microphone Port”, In IEEE International Conference on Informatics, Electronics and Vision (ICIEV), Vol.5, No.1, pp.211-215.

[12]. Xiaoq in Luo, Fen Miao, Ye Li, (2012). “PPG and ECG Feature Comparison for Healthy People and Hypertensive Patients”, In Proceedings of the IEEE-EMBS International Conference on Biomedical and Health Informatics, pp.785-787.

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Research Paper

Effect of Load Parameters Variation on AGC of Two Area Thermal Power System In the Presence of Integral and PSO-PID Controllers

Bethala Prasad* , Ch. Durga Prasad, G.Pavan Kumar*

* PG Scholar, Department of EEE,SRKR Engineering College,Bhimavaram, India.

PG Scholar, Department of EEE, SRKR Engineering College, Bhimavaram, India.

* Assistant Professor, Department of EEE, SRKR Engineering College, Bhimavaram, India.

Prasad, B., Prasad, Ch.D., and Kumar, G.P. (2015). Effect of Load Parameters Variation on AGC of Two Area Thermal Power System In the Presence of Integral and PSO-PID Controllers. i-manager’s Journal on Instrumentation and Control Engineering, 3(2), 16-23. https://doi.org/10.26634/jic.3.2.3536

Abstract

This paper presents the effects of load parameters and their variations on power system frequency and tie-line power. In this study the authors have selected two area thermal power system with Integral (I) and PSO-PID (Practice Swarn Optimization-Proportional-Integral Derivative) controllers. From the mathematical modelling of power system, frequency is a function of power system parameters and small changes in these parameters lead to small deviations in the system frequency and tie-line power. In case of extreme ends of parameters, even for small changes in load power there will be a chance of instability in overall power system. This paper deals with stable case for different parameter variations. Simulations are carried out in MATLAB/SIMULINK software.

References

[1]. Hadi Saadat, (2002). “Power System Analysis”, Tata McGraw-Hill, New Delhi.

[2]. Ibraheem, Kumar Prabhat, Kothari DP. (2005). “Recent Philosophies of Automatic Generation Control Strategies in Power Systems”, IEEE Transaction on Power Systems, Vol.20, No.1, pp.346–57.

[3]. Yousef.H.A, AL-Kharusi.K, Albadi.M.H, Hosseinzadeh.N, (2014). “Load frequency Control of a Multi-Area Power System: An Adaptive Fuzzy Logic Approach”, IEEE Transaction on Power Systems, Vol.29, pp.1822 –1830.

[4]. R. Durga Kalyan, G.Pavan Kumar, Ch. Durga Prasad, (2014). “Effect of Load Variations on AGC of an Interconnected Hydro-Thermal Power System in Presence of Conventional PI and FL Controllers”, IEEE International Conference on Advanced Communication Control and Computing Technologies (ICACCCT), pp.93-97.

[5]. A.Kumar, O.P.Malik, G.S.Hope, Variablestructure, (1985). “System Control Applied to AGC of an Interconnected Power System”, IEEE Proceedings, Vol. 132, No. 1, pp. 23-29.

[6]. Ahuja.A, Narayan.S, Kumar.J, (2014). “Robust FOPID Controller for Load Frequency Control Using Particle Swarm Optimization”, Power India International Conference (PIICON).

[7]. J. Kennedy and R. C. Eberhart, (1995). “Particle swarm optimization”, Proceedings of IEEE International Conference on Neural Networks (ICNN'95), Vol. 4, pp. 1942-1948.

[8]. J. B. Park, K. S. Lee, J. R. Shin, and K. Y. Lee, (2005). “A particle swarm optimization for economic dispatch with nonsmooth cost functions”, IEEE Transactons on Power Systems, Vol. 20, No. 1, pp. 34-42.

[9]. Zwe-Lee Gaing, (2004). “A Particle Swarm Optimization Approach for Optimum Design of PID Controller in AVR system”, IEEE Transactions on Energy Conversion, Vol.19, No.2.

[10]. Saumya Kr. Gautam, Nakul Goyal, (2010). “Improved Particle Swarm Optimization Based Load Frequency Control In A Single Area Power System”, Annual IEEE India Conference (INDICON).

[11]. Taher, S.A., Hemati, R., Abdolalipour, A., Tabie, S.H., (2008). “Optimal Decentralized Load Frequency Control Using HPSO Algorithms in Deregulated Power Systems”, American Journal of Applied Sciences, Vol.5, No.9, pp. 1167-1174.

[12]. ElYakine Kouba.N, Menaa.M, Hasni.M, Boudour.M., (2015). “Optimal Control of Frequency and Voltage Variations using PID Controller based on Particle Swarm th Optimization”, 4 International Conference on Systems and Control (ICSC).

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Research Paper

Performance Analysis of Automatic Generation Control of Multi-Area Power System Using Fuzzy-PID Controller

Aditya Kumar Yadav* , L. B. Prasad**

* M.Tech Graduate, Department of Electrical Engineering, Madan Mohan Malaviya University of Technology, Gorakhpur, India.

** Assistant Professor, Department of Electrical Engineering, Madan Mohan Malaviya University of Technology, Gorakhpur, India.

Yadav, A.K., and Prasad, L.B. (2015). Performance Analysis of Automatic Generation Control of Multi-Area Power System Using Fuzzy-PID Controller. i-manager’s Journal on Instrumentation and Control Engineering, 3(2), 24-31. https://doi.org/10.26634/jic.3.2.3537

Abstract

A large interconnected power system consists of large and small generating stations and all stations must have same frequency. Fuzzy-PID (Propositional-Integial Derivative) control method has been applied in this work for Automatic Generation Control (AGC) of multi-area power system with Generation Rate Constraints (GRC). The objective of providing an Automatic Generation Control (AGC) is to maintain the system frequency at nominal value and the power interchange between different areas at their scheduled values. The main requirement of an interconnected AGC is to ensure that the frequency of various bus voltages and currents are maintained at near specified nominal values, and tieline power flowing among the interconnected areas are maintained at specified levels, and total power requirement on the system as a whole is shared by individual generators economically in optimum fashion.The main work of AGC is to maintain constant system frequency. This method is used in the control system having three areas with steam turbine and one with hydro turbine tied together with power lines. The performance analysis of AGC using fuzzy-PID controller is presented in this paper.

References

[1]. P.Subbaraj and K.Manickavasagm, (2013). “Automatic Generation Control of Multi-arae Power System with Genaration Rate Constraints Using Computational Intalligence Techniques”, International Journal of Applied Power Engineering, Vol.2, No.1, pp. 27-38.

[2]. J.Nanda, B.Kaul, (1978). “Automatic Generation Control of an Interconnected Power System”, IEEE Proceedings, pp. 385-390.

3]. O.I.Elgerd ,C.E.Fosha, (1970). “Optimum Megawatt Frequency Control of Multi-area Electric Energy Systems”, IEEE Transaction on PAS, pp 556-563.

[4]. R.K.Green, (1996). “Transformed Automatic Generation Control”, IEEE Transactions on Power Systems, Vol.11, No.4, pp 1799-1804.

[5]. A.Demiroren, E.yesil, (2004). “Automatic Generation Control with Fuzzy Logic Controllers in Power System including SMES Unit”, International Journal of Electrical Power and Energy Systems, pp. 291-305.

[6]. Eisa Bashier M. Tayeb, (2012). “Automation of Interconnected Power System Using Fuzzy Logic Generation” IEEE Conference on Utility Exhibition on Power and Energy System, 2012, pp 1-5.

[7]. Otman, M.Ahtiwash, Mohz.Z.Abdulmuin and Fatimah siraj, (2002). “ A Neural-fuzzy Logic Approach for Modelling and Control of Non-linear System”, IEEE International Symposium on Intelligent Control, pp. 270-275.

[8]. Lee CC, (1990). “ Fuzzy Logic in Control Systems: Fuzzy Logic Controller”, IEEE Transactions on Systems, Man Cybernetics, Vol.20, No.2, pp.404–418.

[9]. Das D, Nanda J, Kothari ML, Kothari DP, (1983). “Automatic Generation Control of an Interconnected Hydrotermal System in Continous and Discrete Modes Considering Generation Rate Constraints”, IEEE Transaction on Control Theory and Applications, Vol.130, No.1, pp.17- 27.

[10]. Pedrycz W, (1993). “Fuzzy Control and Fuzzy System”, New York: Wiley; 1993.

[11]. Otman,M.Ahtiwash, Mohz.Z.Abdulmuin and Fatimah Siraj, (2002).“ A Neural-fuzzy Logic Approach for Modelling and Control of Non-linear System”, IEEE International Symposium on Intelligent Control, pp. 270-275.

[12]. Surya Prakash and Sunil Kumar Sinha, (2011). “Load Frequency Control of Three Area Interconnected Hydrothermal Reheat Power System Using Artificial Intelligence and PI Controllers”, International Journal of Engineering Science and Technology, Vol.4, No.1, pp 23- 37.

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Research Paper

Comparative Performance Analysis of Feedback Linearization Control and PID Control ofNonlinear Inverted Pendulum System

Gopal Yadav* , L. B. Prasad**

* M.Tech Graduate, Department of Electrical Engineering, Madan Mohan Malaviya University of Technology, Gorakhpur, India.

** Assistant Professor, Department of Electrical Engineering, Madan Mohan Malaviya University of Technology, Gorakhpur, India.

Yadav, G., and Prasad, L.B. (2015). Comparative Performance Analysis of Feedback Linearization Control and PID Control of Nonlinear Inverted Pendulum System. i-manager’s Journal on Instrumentation and Control Engineering, 3(2), 32-38. https://doi.org/10.26634/jic.3.2.3538

Abstract

The Inverted Pendulum (IP) system is a classic control problem which is used as benchmark and is easily available in laboratories to verify new control techniques evolved. The main aim of this paper, is to develop a controller to keep the pendulum upright and cart at desired position. In this paper, feedback linearization control technique is used to eliminate non linearity of this system and compared with conventional PID (Propositional- Integral- Derivative) controller. The MATLAB Simulink model has been developed for simulation, control and analysis of IP system. The result shows that the cart position and pendulum angle both acquired desired position quickly.

References

[1]. Lal Bahadur Prasad, Barjeev Tyagi and Hari Om Gupta, (2012). “Modelling and Simulation for Optimal Control of non-linear Dynamical System using PID Control and LQR”, Modelling Symposium (AMS), pp.138-143.

[2]. Lal Bahadur Prasad, Hari Om Gupta and Barjeev Tyagi, (2011). “Inverted Pendulm Dynamical System using Mamdani and TSK Fuzzy Inference system,” Proceedings of IEEE International Conference on Computational Intelligence and Computing Research, pp. 106-111.

[3]. Lal Bahadur Prasad, Barjeev Tyagi and Hari Om Gupta, (2014). “Optimal Control of Nonlinear Inverted Pendulum System Using PID Controller and LQR: Performance Analysis without and with Disturbance Input”, International Journal of Automation and Computing, Vol. 11, No. 6, pp. 661- 670.

[4]. S. K. Mishra and D. Chandra, (2014). “Stabilization and Tracking Control of Inverted Pendulum using Fractional order PID Controllers”, Journal of Engineering, pp.9.

[5]. M. Akole and Barjeev Tyagi, (2008). “ Design of Fuzzy Logic Controller for Nonlinear Model of Inverted Pendulumcart System”, XXXII National Systems Conference. NSC, pp. 750 -755.

[6]. Kiam Heong Ang, Gregory Chong and Y. Li, (2005). “PID Control System Analysis, Design and Technology”, IEEE Transactions on Control Systems Technology, Vol. 13, No. 4, pp. 559-576.

[7]. S.S.Sastry and A.Isidori, (1967). “Adaptive Control of Linearizable Systems”, IEEE Transactions on Automation Control, Vol.12, No.1, pp. 75-80.

[8]. K. J. Astrom and B. Wittenmark, “Adaptive Control”, 2nd ed. Pearson Education Pvt. Ltd. New Delhi.

[9]. R.M. Dressler, (1967). “An Approach to Model Reference Adaptive Control System,” IEEE Transaction on Automation Control, Vol.12, No.1, pp. 75-80.

[10]. Y.D. Landau, (1987). “Adaptive Control: the Model Reference Approach”, Marcel Dekker, New York.

[11]. H. Butler, (1992). “Model Reference Adaptive Control”. Prentice- Hall, New York.

[12]. I. J. Nagrath and M. Gopal, (2005). “Control System th Engineering”, 5 ed. New Age international (P) Ltd. New Delhi.

[13]. K.J. Astrom, (1983). “Theory and Applications of Adaptive Control-a Survey”. Automatica, Vol.19, No.5.

[14]. V. V. Chalam, (1987). “Adaptive Control Systems Techniques and Applications,” Marcel Dekker, New York.

[15]. N.S. Bhattathiri and P.A. Saraswathi, (2014). “ANN Control of Nonlinear and Unstable System and its Implementation on Inverted Pendulum System”, International Journal of Current Engineering and Technology, pp.2347-5161.

[16]. S. Sharma, V. Kumar and R.Kumar, (2012). “Supervised Online Adaptive Control of Inverted Pendulum System using ADALINE ANN with Varying System Parameters and External Disturbances”, International Journal of Intelligent Systems and Applications, pp.53-61.

[17]. K. Ogata, (2005). “Modern Control Engineering”, 4th ed. Pearson Education Pvt. Ltd., New Delhi.

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

Current Issue Vol. 11 Issue 2

Most Read

Most Cited

Volume 3 Issue 2 February - April 2015

Enhancement of Power Quality Using PI and Fuzzy Logic Controller Based Multilevel UPQC

M. S. Sujatha* , K. Venkateswarlu**

* Professor, Department of EEE, Sree Vidyanikethan Engineering College, Tirupati, Andhra Pradesh, India. ** Assistant Professor, Department of EEE, Vignan Institute of Science and Technology, Hyderabad, India.

Sujatha, M.S., and Venkateswarlu, K. (2015). Enhancement of Power Quality Using PI and Fuzzy Logic Controller Based Multilevel UPQC. i-manager’s Journal on Instrumentation and Control Engineering, 3(2), 1-9. https://doi.org/10.26634/jic.3.2.3534

Abstract

References

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Pulse Sensor for Diagnosis and Analysis of Heart Rate Using Peak Detection Technique

S. Priyadharshini* , R. Preetha**

*-** Assistant Professor, Department of ECE, Rajalakshmi Institute of Technology, Chennai, India.

Priyadharshini, S., and Preetha, R. (2015). Pulse Sensor for Diagnosis and Analysis of Heart Rate Using Peak Detection Technique. i-manager’s Journal on Instrumentation and Control Engineering, 3(2), 10-15. https://doi.org/10.26634/jic.3.2.3535

Abstract

References

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Effect of Load Parameters Variation on AGC of Two Area Thermal Power System In the Presence of Integral and PSO-PID Controllers

Bethala Prasad* , Ch. Durga Prasad**, G.Pavan Kumar***

* PG Scholar, Department of EEE,SRKR Engineering College,Bhimavaram, India. ** PG Scholar, Department of EEE, SRKR Engineering College, Bhimavaram, India. *** Assistant Professor, Department of EEE, SRKR Engineering College, Bhimavaram, India.

Prasad, B., Prasad, Ch.D., and Kumar, G.P. (2015). Effect of Load Parameters Variation on AGC of Two Area Thermal Power System In the Presence of Integral and PSO-PID Controllers. i-manager’s Journal on Instrumentation and Control Engineering, 3(2), 16-23. https://doi.org/10.26634/jic.3.2.3536

Abstract

References

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Performance Analysis of Automatic Generation Control of Multi-Area Power System Using Fuzzy-PID Controller

Aditya Kumar Yadav* , L. B. Prasad**

* M.Tech Graduate, Department of Electrical Engineering, Madan Mohan Malaviya University of Technology, Gorakhpur, India. ** Assistant Professor, Department of Electrical Engineering, Madan Mohan Malaviya University of Technology, Gorakhpur, India.

Yadav, A.K., and Prasad, L.B. (2015). Performance Analysis of Automatic Generation Control of Multi-Area Power System Using Fuzzy-PID Controller. i-manager’s Journal on Instrumentation and Control Engineering, 3(2), 24-31. https://doi.org/10.26634/jic.3.2.3537

Abstract

References

Full Article (HTML)

Pdf

Comparative Performance Analysis of Feedback Linearization Control and PID Control ofNonlinear Inverted Pendulum System

Gopal Yadav* , L. B. Prasad**

* M.Tech Graduate, Department of Electrical Engineering, Madan Mohan Malaviya University of Technology, Gorakhpur, India. ** Assistant Professor, Department of Electrical Engineering, Madan Mohan Malaviya University of Technology, Gorakhpur, India.

Yadav, G., and Prasad, L.B. (2015). Comparative Performance Analysis of Feedback Linearization Control and PID Control of Nonlinear Inverted Pendulum System. i-manager’s Journal on Instrumentation and Control Engineering, 3(2), 32-38. https://doi.org/10.26634/jic.3.2.3538

Abstract

References

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* Professor, Department of EEE, Sree Vidyanikethan Engineering College, Tirupati, Andhra Pradesh, India.

** Assistant Professor, Department of EEE, Vignan Institute of Science and Technology, Hyderabad, India.

Bethala Prasad* , Ch. Durga Prasad, G.Pavan Kumar*

* PG Scholar, Department of EEE,SRKR Engineering College,Bhimavaram, India.

PG Scholar, Department of EEE, SRKR Engineering College, Bhimavaram, India.

* Assistant Professor, Department of EEE, SRKR Engineering College, Bhimavaram, India.

* M.Tech Graduate, Department of Electrical Engineering, Madan Mohan Malaviya University of Technology, Gorakhpur, India.

** Assistant Professor, Department of Electrical Engineering, Madan Mohan Malaviya University of Technology, Gorakhpur, India.

* M.Tech Graduate, Department of Electrical Engineering, Madan Mohan Malaviya University of Technology, Gorakhpur, India.

** Assistant Professor, Department of Electrical Engineering, Madan Mohan Malaviya University of Technology, Gorakhpur, India.