i-manager Publications

i-manager's Journal on Electrical Engineering (JEE)

Current Issue Vol. 18 Issue 1

PV-grid Performance improvement through Integrated Intelligent Water Drop Optimization with Neural Network for Maximum Power Point Tracking
A Digital Healthcare Monitoring System with Real-Time Analysis
Advancements in Smart Meter Design and Integration for Enhanced Energy Management and Efficiency
Electric Vehicles in Modern Transportation: Environmental Impacts, Configurations, and Future Trends – A Review
GTO Technique Based Hybrid Power System Controller Design

Most Cited

Volume 8 Issue 2 October - December 2014

Research Paper

Study of Molybdenum Contact to Multi Crystalline Silicon for Thin Film Solar Cells Application

Haneh S.Younessi* , Elaheh Akbarnejad, Mahmood Ghoranneviss*

*-*** Plasma Physics Research Centre, Science and Research Branch, Islamic Azad University, Tehran, Iran.

Younessi, H. S., Akbarnejad, E. and Ghoranneviss, M. (2014). Study of Molybdenum Contact to Multi Crystalline Silicon For Thin Film Solar Cells Application. i-manager’s Journal on Electrical Engineering , 8(2), 1-5. https://doi.org/10.26634/jee.8.2.3042

Abstract

To obtain a suitable ohmic contact with low specific contact and sheet resistance, a thin film of Mo~1μm is deposited on n-type multi crystalline Si wafer by RF sputtering in Argon atmosphere. The ohmic characterization of Molybdenum contact was investigated by the Keithley 2361 and the sheet resistance was measured by the four point probe. Two sets of experiments were carried out to study the resulting deposition of Molybdenum thin film. In the first experiment, during the deposition process, the RF power was varied at constant 100, 200 and 300 Watts and in the second experiment RF power was kept at a constant 300W, while the Ar gas flow was varied at constant 10, 30 and 50Sccm.The specific contact resistance was not affected by varying the RF power of deposition; it remained at about 1×10^-3 Ωm² . However, the sheet resistivity reduced to 1.6×10^-5 Ωm. Although varying the RF power did not impact the resistivity of the contact by much, the XRD spectra of the samples show that there was an increase in the crystalline structure, as the RF power was increased. The best result was achieved with the lowest Ar gas flow with the specific contact resistance of 8×10^-4 Ωm² and the sheet resistivity of 3.3×10^-6 Ωm.The low Ar gas flow not only yielded the sample with the lowest specific contact and sheet resistivity, it also produced the sample with the most orderly deposited molybdenum grains; as observed with the SEM.

References

[1]. Razykov, T.M., Ferekides, C.S., Morel, D., Stefanakos, E., Ullal, H.S., Upadhyaya, H.M., (2011). “Solar photovoltaeic electricity”: Current status and future prospects, J. Solar Energy, Article in press. Vol. 85(8), pp.1580-1608.

[2]. Takada, Y., Muraguchi, M., Edhan, T., Nomora, S., Shiraish, K., (2010). “Proposal of a new physical model for Ohmic contacts”, J. Physica E, Vol.42(10),pp. 2837-2840.

[3]. Gambino, J.P., Colgan, E.G, (1997). “Siicides and Ohmic contacts”, J. Material Chemistry and Physics, Vol. 52, pp. 99-146.

[4]. Martinez, M.A., Guillen, C. (2003). “Comparison between large area dc-magnetron sputtered and ebeam evaporated molybdenum as thin film electrical contacts”, J. Materials Processing Technology. Vol. 143, No.144, pp.326-331.

[5]. Khan, A., Labbe, J. (1997). “Aluminum nitridemolybdenum ceramic matrix composition”, J. European ceramic society, Vol.17, No.15-16, pp. 1885-1890.

[6]. King, T.Jet al., (1999). Novel Materials and Processes for MOS Devices, MICRO Project 98-071.

[7]. Yun, D, Rhee, S., (2008). Effect of molybdenum electrode annealing on the interface properties between metal and pentacene, J. Organic Electronics, Vol. 9, pp. 551-556.

[8]. Fahrenbruch, A.L., Bube, R.H. (1992). “Fundamentals of Solar Cells”, Academic press, New York.

[9]. Schrooder, K., (1990). “Semiconductor material and device characterization, 3rd ed. John Wieleys & Sons, New Jersey.

Full Article (HTML)

Pdf

Research Paper

Optimal Control of Permanent Magnet Linear Synchronous Motor Using Discrete LinearQuadratic Regulator

G. Jagadeesh* , S. Koteswara Rao, B. Arundhati*

* M.Tech Student, Vignan's Institute of Information and Tecnology, Visakhapatnam, India.

Senior Professor in ECE Deparment, Vignan's Institute of Information and Technology, Visakhapatnam, India.

* Associate Professor and HOD, EEE Department ,Vignan's Institute of Information & Technology, Visakhapatnam, India.

Jagadeesh, G., Rao, S. K., and Arundhati, B. (2014). Optimal Control Of Permanent Magnet Linear Synchronous Motor Using Discrete Linear Quadratic Regulator. i-manager’s Journal on Electrical Engineering , 8(2), 6-13. https://doi.org/10.26634/jee.8.2.3040

Abstract

This paper presents an optimal control of Permanent Magnet Linear Synchronous Motor (PMLSM) using linear quadratic regulator. The linear quadratic regulator is employed by linearization of motor model to obtain the optimal state feedback gain matrix. Optimal Control Methodology facilitates to design a control system, to meet the performance objectives with the smallest control energy i.e. the energy associated with the generation of control inputs. In pole placement techniques, Trial and Error method is adopted to find the pole location for desired performance of the system, whereas the optimal control methods directly formulate the desired performance of the control system The PMLSM drive is simulated by taking various Q and R matrices in order to eliminate the steady state error and enhance the dynamic performance of various speed profiles.

References

[1]. Tian-Hua Liu, Kuo-Lung Wang, Ching-Guo Chen (2003). “Frequency-Domain Optimal Controller Design for a Permanent Magnet Linear Synchronous Motor Control System”, in proceedings of IEEE, Vol 3. pp.1525-1531.

[2]. Chang-Chou Hwang, Ping-Lun Li, and Cheng-Tsung Liu, (2012). “Optimal Design of a Permanent Magnet Linear Synchronous Motor with Low Cogging force” in proceeding of IEEE Transactions on Magnetics, Vol. 48, No. 2, pp.1039- 1042.

[3]. N. Roshandel Tavana, and A. Shoulaie, (2009). “Modeling and Design Optimization of Permanent Magnet Linear Synchronous Motor with Halbach Array”, in Proceedings of IECE ,Iran University of Science and Technology, Vol.3, pp.441-446.

[4]. Lech M. Grzesiak, Tomasz Tarczewski, (2011). “Permanent magnet synchronous motor discrete linear quadratic speed controller” in proceedings of IEEE, pp.667-672.

[5]. Sadjad Madanzadeh, Ali Abedini, Ahmad Radan, (2013). “Novel Sensorless State Feedback Speed Control th Technique of IPMSM Drives” 4 Power Electronics, Drive Systems & Technologies Conference (PEDSTC2013), pp.20- 25.

[6]. M. Grzesiak T. Tarczewski. (2009). “High precision permanent magnet synchronous servo-drive with LQR position controller,” Electrical Review, Iss. 85, pp. 42-47, Aug.

[7]. L. M. Grzesiak, T. Tarczewski and S. Mandra, (2008). “Permanent magnet synchronous servo-drive with state th position controller,” 13 Power Electronics and Motion Control Conference, EPE-PEMC, pp. 1071-1076.

[8]. AshishTewari, (2002). “Modern Control Design with MATLAB and SIMULINK”, Johnwiley & Sons Ltd.

[9]. R. Krishnan, (2010). “Permanent Magnet Synchronous and Brushless DC Motor Drives”, CRC Press, Taylor & Francis Group. www.taylorandfrancis.com.

[10]. Mohammad Abroshan, Jafar Milimonfared, Kaveh Malekian, Arash Rahnamaee, (2008). “An Optimal Control for Saturated Interior Permanent Magnet Linear Synchronous Motors Incorporating Field Weakening” proceedings of IEEE, International Power Electronics and Motion Control Conference (EPE-PEMC), pp.1117-1122.

[11]. E. Prasad and B. Suresh, (2012). “Field Oriented Control of PMSM Using SVPWM technique”, Global Journal of Advanced Engineering Technologies, Vol.1, No. 2.

Full Article (HTML)

Pdf

Research Paper

Voltage Stability Analysis For Line Outage Contingency Using Cat Swarm OptimizationFor Placing Multiple TCSCs

G. Naveen Kumar* , Suryakalavarthi, M**

* Assistant Professor, EEE Department, Vallurupalli Nageswara Rao Vignana Jyothi Institute of Engineering and Technology, Hyderabad, Telangana, India.

** Professor, EEE Department, Jawaharlal Nehru Technological University Hyderabad, College of Engineering Hyderabad, Telangana, India.

Kumar, G. N., and Kalavathi, M. S. (2014). Voltage Stability Analysis For Line Outage Contingency Using Cat Swarm Optimization For Placing Multiple TCSCS. i-manager’s Journal on Electrical Engineering , 8(2), 14-20. https://doi.org/10.26634/jee.8.2.3043

Abstract

Voltage stability is regarded as one of the important areas of power system stability studies. A power system facing disturbances is at risks of voltage instability. Prime reason for the cause of instability is the sag in reactive power at various locations due to circuit contingencies. These are classified under large disturbance voltage stability. The aim of this paper is to identify the optimal location of Thyristor Controlled Series Capacitor in an interconnected transmission power system under N-1 contingency using Cat Swarm Optimization technique.

References

[1]. C W Taylor, (1994). “Power System Voltage Stability”, McGraw-Hill, 1994.

[2]. P Kundur, (1994). “Power System Stability and Control”, McGraw-Hill.

[3]. Edward Wilson Kimbark, (1995). “Power System Stability”, Vol.1, Wiley-IEEE Press February.

[4] Allen J Wood and Bruce F Wollenberg, (2012). “Power Generation, Operation and Control”, John Wiley & Sons.

[5]. N G Hingorani and L Gyugyi, (2000). “Understanding FACTS: Concepts and Technology of Flexible AC Transmission Systems”, New York, IEEE Press,

[6]. Kundur P, Paserba J, Ajjarapu V, Andersson G, Bose A, Canizares C, Hatziargyriou N, Hill D, Stankovic A, Taylor C, Van Cutsem T and Vittal V, (2004). “Definition and classification of power system stability IEEE/CIGRE joint task force on stability terms and definitions”, IEEE Transactions on Power Systems, Vol19, No 3. pp 1387-1401.

[7]. S Musunuri and G Dhenavi, (2010). “Comparison of STATCOM, SVC, TCSC, and SSSC Performance in steady state voltage stability improvement”, IEEE Transaction on North American Power Symposium NAPS.

[8] Bindeshwar Singh, N. K. Sharma and A. N. Tiwari, (2010). “Prevention of Voltage Instability by Using FACTS Controllers in Power Systems: A Literature Survey”, International Journal of Engineering Science and Technology, Vol. 2(5), pp. 980-992.

[9]. Milano F, (2005). “An Open Source Power System Analysis Toolbox”, IEEE Transactions on Power Systems, Vol. 20, No 3, pp. 1199-1206.

[10]. Jong Ching Hwang, Jung Chin Chen, Pan, J S and Yi- Chao Huang, (2009). “CSO and PSO to Solve Optimal Contract Capacity for High Tension Customers”, IEEE, PEDS.

[11] Sakthivel S, (2010). “Particle Swarm Optimization algorithm for voltage stability enhancement by optimal reactive power reserve management with multiple TCSCs”, International Journal of Computer Applications, Vol. 11, No 3. pp. 19-27.

[12]. G Naveen Kumar, M Surya Kalavathi, (2014). “Cat Swarm Optimization for optimal placement of multiple UPFC's in voltage stability enhancement under contingency”, International Journal of Electrical Power and Energy Systems, Elsevier, Vol. 57, pp. 97-104.

[13]. “Power System Analysis Toolbox Documentation for PSAT”, version 2.0.0 ?, March 8, 2007.

Full Article (HTML)

Pdf

Research Paper

Speed Control Of Induction Motor Using Fuzzy Logic Controller

Prashant Menghal* , A. Jaya Laxmi, D. Anusha*

* Faculty of Degree Engineering, Military College of Electronics & Mechanical Engineering, Secunderabad, Telangana and Research Scholar, EEE Department., JNTU, Andhra Pradesh, India.

Professor, Department of EEE, Jawaharlal Nehru Technological University, College of Engineering, Kukatpally, Hyderabad, Telangana, India.

* Research Scholar, Department of EEE, Jawaharlal Nehru Technological University, College of Engineering,Kukatpally, Hyderabad, Telangana, India.

Menghal, P. M. Laxmi, A. J., and Anusha, D. (2014). Speed Control Of Induction Motor Using Fuzzy Logic Controller. i-manager’s Journal on Electrical Engineering , 8(2), 21-31. https://doi.org/10.26634/jee.8.2.3041

Abstract

The use of Induction motors has increased tremendously, since the day of its invention. They are being used as actuators in various industrial processes, robotics, house appliances and other similar applications. The reason for increasing popularity day by day can be primarily attributed to its robust construction, simplicity in design and cost of effectiveness. This paper presents a methodology for implementation of a rule-based fuzzy logic controller applied to a closed loop Volts/Hz speed control of induction motor. The Induction motor is modelled using a dq axis theory. The designed Fuzzy Logic Controller's performance is weighed and is compared with that of a PI controller. The system has been simulated in MATLAB/SIMULINK and the results have been presented. The results obtained by using a conventional PI controller and the designed Fuzzy Logic Controller have been compared.

References

[1]. Tze Fun Chan., Keli Shi (2011). “Applied Intelligent Control of Induction Motor Drives”. IEEE Willey Press.

[2]. P.C. Krause (2000). Analysis of Electrical Machinery and Drives System. IEEE Willey Press.

[3]. Ned Mohan (2001). Advanced Electric Drives: Analysis, Control Modeling using Simulink. MNPERE Publication.

[4]. K.L.Shi, T.F.Chan, Y. K. Wong and S. L .HO (1999). Modeling and simulation of the three phase induction motor Using SIMULINK. Int.J. Elect. Engg. Educ, Vol. 36, pp. 163–172. doi. 10.1109/IEMDC.1997.604326.

[5]. P. M.Menghal, A Jaya Laxmi and N.Mukhesh (2014). Dynamic Simulation of Induction Motor Drive using Artificial I n tel l i gen t Con trol l er. I EEE I n t. Con f. . Con trol , Instrumentation, Energy and Communication (CIEC), pp.301-305. doi: 10.1109/CIEC.2014.6959098.

[6]. P.M Menghal, and A Jaya Laxmi (2014). “Neural Network Based Dynamic Performance of Induction Motor Drives. Springer Journal of Advances in Intelligent Systems and Computing, Vol. 259, pp. 539-551. doi: 10.1007/978- 81-322-1768-8_48.

[7]. P M Menghal, and A Jaya Laxmi (2014). “Dynamic Performance of Induction Motor Drive Using Hybrid Controller. Journal of Automation & Systems Engineering Vol.8-1, Pp. 40-50.

[8]. P. M. Menghal and Dr. A. Jaya Laxmi (2014). “Artificial Intelligent Control of Induction Motor Drives”. i-manager's Journal on Instrumentation and Control Engineering, 2(1), Nov-Jan, 2014, Print ISSN 2321-113X, E-ISSN 2321-1148, pp. 9-22.

[9]. P M Menghal, and A.Jaya Laxmi (2012). “Artificial Intelligence Based Dynamic Simulation of Induction Motor Drives”. IOSR Journal of Electrical and Electronics Engineering (IOSR-JEEE), Vol.3(5), 37-45.doi: 10.9790/ 1676-0353745.

[10]. P M Menghal, and A. Jaya Laxmi (2013). “Adaptive Neuro Fuzzy based Dynamic Simulation of Induction Motor Drives”. IEEE Int. conf. Fuzzy Systems, 1-8.doi:10.1109/FUZZIEEE. 2013.6622452.

[11]. P M Menghal, and A Jaya Laxmi (2013). Neural Network based Dynamic Simulation of Induction Motor Drives. IEEE Int. conf. Power, Energy & Control,566-571.doi :10.1109/ICPEC.2013.6527722.

[12]. P M .Menghal, and A Jaya Laxmi (2012). Adaptive Neuro Fuzzy Interference (ANFIS) based simulation of Induction motor drive. Int. Review on Modeling and Simulation (IRMOS), 5(5), 2007-2016.

[13]. M. Nasir Uddin, and Muhammad Hafeez (2012). FLCBased DTC Scheme to Improve the Dynamic Performance of an IM Drive. IEEE Trans. Ind. Appl, 823-831.doi: 10.1109/TIA.2011.2181287.

[14]. M. Nasir Uddin, and Hao Wen (2007). Development of a Self-Tuned Neuro-Fuzzy Controller for Induction Motor Drives. IEEE Trans Ind. App, 1108-1116.doi : 10.1109/TIA.2007.900472.

[15]. M Nasir Uddin, and Tawfik S. Radwan et al. (2002). Performance of Fuzzy logic based indirect vector control for induction motor drive, IEEE Trans. Ind. Appl, Vol. 38(5),1219-1225.doi: 10.1109/TIA.2002.802990.

[16]. Besir Dandil, Muammer Gokbulut Fikrat Ata (2005). A PI Type Fuzzy –Neural Controller for Induction Motor Drives. Journal of Appl. Sci., Vol. 5(7), pp. 1286-1291.doi: 10.3923/jas.2005.

[17]. Rajesh Kumar, R. A. Gupta Rajesh S. Surjuse (2009). “Adaptive Neuro-Fuzzy Speed Controller for Vector Controlled Induction Motor Drive”. Asian Power Electro. Journal, Vol. 3(1), pp. 8-14. doi:14.79e41505757a2a8cab.

[18]. Mouloud Azzedine Denai and Sid Ahmed Attia (2002). Fuzzy and Neural Control of an Induction Motor, Int. J. Appl. Math. Computer. Sci., Vol. 12 (2), pp. 8-14. doi:10.1.1.135.303.

[19]. Bimal K. Bose (2007). Neural Network Applications in Power Electronics and Motor Drives - An Introduction and Perspective. IEEE Trans. Ind. Electronics, Vol. 54(1), pp. 14- 33.doi: 10.1109/TIE.2006.888683.

[20]. Uddin, M.N.,Huang, Z.R. et al (2007). “A Simplified Self- Tuned Neuro-Fuzzy Controller Based Speed Control of an Induction Motor Drive”. IEEE Power Engineering Society General Meeting, Vol. 1-8.doi: 10.1109/PES.2007.385720.

[21]. M Nasir Uddin, Tawfik S. Radwan and Azizur Rahman (2002). Performance Of Fuzzy Logic based Indirect Vector Control for Induction Motor Drive. IEEE Trans on industry application, Vol. 38(5), pp.1219-1225. doi: 10.1109/ IAS.2000.881989.

Full Article (HTML)

Pdf

Research Paper

Symmetrical Five Level Cascaded Multilevel Inverter With Reduced Switch for Various Unipolar PWM Strategies

C. R. Balamurugan* , S. P. Natarajan, M. Arumugam*, R. Bensraj****

* EEE Department, Arunai Engineering College, Tiruvannamalai, Tamilnadu, India.

EIE Department, Annamalai University, Chidambaram, Tamilnadu, India.

* EEE Department, Arunai College of Engineering, Tiruvannamalai, Tamilnadu, India.

**** EEE Department, Annamalai University, Chidambaram, Tamilnadu, India.

Balamurugan, C. R., Natarajan, S. P., Arumugam, M., and Bensraj, R. (2014). Symmetrical Five Level Cascaded Multilevel Inverter With Reduced Switch for Various Unipolar PWM Strategies. i-manager’s Journal on Electrical Engineering , 8(2), 32-37. https://doi.org/10.26634/jee.8.2.3044

Abstract

In this paper, a new multilevel converter which consists of only the seven switches rather than the conventional multilevel converter is analyzed. The various PWM techniques were included: APODPWM, COPWM and PSPWM, to generate the respective output voltage levels. It has many main advantages of lower harmonics, reductions in installation space and cost of inverter. The performance measures like Total Harmonic Distortion (THD), VRMS (fundamental) and V_peak are evaluated for various modulation indices. This proposed multilevel converter can be analyzed and investigated through MATLAB/SIMULINK software. Finally, compared with all PWM strategies, the COPWM and PSPWM provide higher (Fundamental) RMS voltage and APOD PWM provides lower Total Harmonic Distortion (THD) .

References

[1]. S.Kouro, M.Malinowski, K. Gopakumar, J. Pou, L.G. Franquelo, Bin Wu, J. Rodriguez, M.A. Perez, J.I. Leon, (2010). “Recent Advances and Industrial Applications of Multilevel Converters”, IEEE Trans. on Ind. Electron., Vol. 57 , No. 8, pp. 2553 – 2580.

[2]. R.K. Behera, S.P. Das, (2010). “Multilevel converter fed induction motor drive for industrial and traction drive”, IEEE Potentials, Vol. 29, No. 5, pp. 28 – 32.

[3]. P. Lezana, R. Aceiton, (2011). “Hybrid Multicell Converter: Topology and Modulation”, IEEE Transactions on Industrial Electron., Vol. 58 , No. 9, pp. 3938 – 3945.

[4]. D. Floricau, F. Richardeau, (2011). “New Multilevel Converters Based on Stacked Commutation Cells With Shared Power Devices”, IEEE Trans. on Ind. Electron., Vol. 58, No. 10, pp. 4675 – 4682.

[5]. Zixin Li, Ping Wang, Haibin Zhu, Zunfang Chu, Yaohua Li, (2012). IEEE Trans. Power Electron., Vol. 27, No. 8, pp. 3472 – 3481.

[6].Kangarlu, M.F., Babaei, E., Laali,s., (2012). “Symmetric Multilevel Inverter With Reduced Components Based On Non-Insulated Dc Voltage Sources,” IET.Power Electron., Vol. 5, No. 5, pp . 571- 581.

[7]. Najafi,E., Yatim, A.H.M., (2012). “Design and Implementation of a New Multilevel Inverter Topology,” IEEE Trans. Industrial Electron., Vol. 59, No. 11, pp. 4148-4154.

[8]. Rathore, R; Holtz, H. ; Boller, T., (2013). “Generalized Optimal Pulsewidth Modulation of Multilevel Inverters for Low-Switching-Frequency Control of Medium-Voltage High- Power Industrial AC Drives,” IEEE Tran. Ind Electron., Vol. 60, No. 10, pp. 4215 – 4224.

[9]. R. Rabinovici, D. Baimel, J. Tomasik, A. (2013). “Thirteen-Level H-Bridge Inverter Operated By Generic Phase Shifted Pulse-Width Modulation”, IET Power Electron., Vol. 6, No. 8, pp. 1516 – 1529.

[10]. E. Babaei, M.F. Kangarlu, M. Sabahi, (2014). “Extended Multilevel Converters: An Attempt to reduce the Number of Independent DC Voltage Sources in Cascaded Multilevel Converters”, IET Power Electronics., Vol. 7, No. 1, pp. 157 – 166.

[11]. A. Ajami, M. Reza jannati oskuee, M. Toopchi khosroshahi, A. Mokhberdoran, (2014). “Cascade-Multi- Cell Multilevel Converter with Reduced Number of Switches”, IET Power Electron., Vol. 7 , No. 3, pp. 552 – 558.

i-manager's Journal on Electrical Engineering (JEE)

Current Issue Vol. 18 Issue 1

Most Read

Most Cited

Volume 8 Issue 2 October - December 2014

Study of Molybdenum Contact to Multi Crystalline Silicon for Thin Film Solar Cells Application

Haneh S.Younessi* , Elaheh Akbarnejad**, Mahmood Ghoranneviss***

*-*** Plasma Physics Research Centre, Science and Research Branch, Islamic Azad University, Tehran, Iran.

Younessi, H. S., Akbarnejad, E. and Ghoranneviss, M. (2014). Study of Molybdenum Contact to Multi Crystalline Silicon For Thin Film Solar Cells Application. i-manager’s Journal on Electrical Engineering , 8(2), 1-5. https://doi.org/10.26634/jee.8.2.3042

Abstract

References

Full Article (HTML)

Pdf

Optimal Control of Permanent Magnet Linear Synchronous Motor Using Discrete LinearQuadratic Regulator

G. Jagadeesh* , S. Koteswara Rao**, B. Arundhati***

Jagadeesh, G., Rao, S. K., and Arundhati, B. (2014). Optimal Control Of Permanent Magnet Linear Synchronous Motor Using Discrete Linear Quadratic Regulator. i-manager’s Journal on Electrical Engineering , 8(2), 6-13. https://doi.org/10.26634/jee.8.2.3040

Abstract

References

Full Article (HTML)

Pdf

Voltage Stability Analysis For Line Outage Contingency Using Cat Swarm OptimizationFor Placing Multiple TCSCs

G. Naveen Kumar* , Suryakalavarthi, M**

* Assistant Professor, EEE Department, Vallurupalli Nageswara Rao Vignana Jyothi Institute of Engineering and Technology, Hyderabad, Telangana, India. ** Professor, EEE Department, Jawaharlal Nehru Technological University Hyderabad, College of Engineering Hyderabad, Telangana, India.

Kumar, G. N., and Kalavathi, M. S. (2014). Voltage Stability Analysis For Line Outage Contingency Using Cat Swarm Optimization For Placing Multiple TCSCS. i-manager’s Journal on Electrical Engineering , 8(2), 14-20. https://doi.org/10.26634/jee.8.2.3043

Abstract

References

Full Article (HTML)

Pdf

Speed Control Of Induction Motor Using Fuzzy Logic Controller

Prashant Menghal* , A. Jaya Laxmi**, D. Anusha***

Menghal, P. M. Laxmi, A. J., and Anusha, D. (2014). Speed Control Of Induction Motor Using Fuzzy Logic Controller. i-manager’s Journal on Electrical Engineering , 8(2), 21-31. https://doi.org/10.26634/jee.8.2.3041

Abstract

References

Full Article (HTML)

Pdf

Symmetrical Five Level Cascaded Multilevel Inverter With Reduced Switch for Various Unipolar PWM Strategies

C. R. Balamurugan* , S. P. Natarajan**, M. Arumugam***, R. Bensraj****

Balamurugan, C. R., Natarajan, S. P., Arumugam, M., and Bensraj, R. (2014). Symmetrical Five Level Cascaded Multilevel Inverter With Reduced Switch for Various Unipolar PWM Strategies. i-manager’s Journal on Electrical Engineering , 8(2), 32-37. https://doi.org/10.26634/jee.8.2.3044

Abstract

References

Full Article (HTML)

Pdf

Haneh S.Younessi* , Elaheh Akbarnejad, Mahmood Ghoranneviss*

G. Jagadeesh* , S. Koteswara Rao, B. Arundhati*

* Assistant Professor, EEE Department, Vallurupalli Nageswara Rao Vignana Jyothi Institute of Engineering and Technology, Hyderabad, Telangana, India.

** Professor, EEE Department, Jawaharlal Nehru Technological University Hyderabad, College of Engineering Hyderabad, Telangana, India.

Prashant Menghal* , A. Jaya Laxmi, D. Anusha*

C. R. Balamurugan* , S. P. Natarajan, M. Arumugam*, R. Bensraj****