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

Current Issue Vol. 17 Issue 4

Design and Analysis of Improved Mountain Gazelle Optimization Tuned PID and FOPID Controllers for PV MPPT System
Performance Analysis of Power System Dynamics with Facts Controllers: Optimal Placement and Impact of SSSC and STATCOM
Empowering Hybrid EVS with Bidirectional DC - DC Converter for Seamless V2G and G2V Integration
Solar Wireless Charging of Battery in Electrical Vehicle
Advancements in Multilevel Inverter Technologies for Photovoltaic-Z-Source Based EV Applications: A Comprehensive Analysis and Future Directions

Most Cited

Volume 12 Issue 1 July - September 2018

Research Paper

Design of PI Speed Controller for Power Converter fed Variable Speed DC Drive

Dr. Pasala* , I. Prabhakar Reddy**

* Associate Professor, Department of Electrical and Electronics Engineering, Annamacharay Institute of Technology and Science (Autonomous), Andhra pradesh, India.

** Professor, Department of Electrical Engineering, NBKR Institute of Science and Technology (Autonomous), Nellore, Andhra Pradesh, India.

This paper has been retracted due to dual submission.

Research Paper

SPWM based Hybrid Converter for Nano Grid Applications

Ashwath kumar Shetty* , Chandrashekhar Badachi**

*Electrical Engineer - Converter Design, Bombardier Transportation, Vadodara, Gujarat, India.

** Associate Professor, Department of Electrical and Electronics Engineering, M S Ramaiah Institute of Technology, Bangalore, India.

Shetty, A.K, & Badachi, C. (2018). Spwm Based Hybrid Converter for Nano Grid Applications i-manager’s Journal on Electrical Engineering, 12(1), 1-9. https://doi.org/10.26634/jee.12.1.14766

Abstract

In the present scenario, the renewable energy sources solar and wind are used locally by creating a Nano grid. In the integration of these sources to the Nano grid, hybrid converters play an important role to provide both AC and DC loads. Existing hybrid converters suffer with limitations such as no protection for shoot through condition and separate converters are used to supply AC & DC loads, which increases the size and cost of the system. A boost derived hybrid converter which provides both AC and DC output has overcome the above limitations. Further, this converter operation is unstable under unbalanced loading conditions and also its boost gain is low. To improve the performance of boost derived converter the proposed work presents a SPWM scheme based boost derived hybrid converter. The proposed hybrid converter is modeled in MATLAB/PLECS Simulink and its performance is verified under no load and different loading conditions. A laboratory hardware model is developed to validate the Simulink model results. It has been observed that both laboratory model results and Simulink model results are in good agreement with each other. It has been seen that boost derived converter with SPWM scheme has performed better than the PWM based converter.

References

[1]. Gajanayake, C. J., Luo, F. L., Gooi, H. B., So, P. L., & Siow, L. K. (2010). Extended-boost Z -source inverters. IEEE Transactions on Power Electronics, 25(10), 2642-2652.

[2]. Mishra, S., Adda, R., & Joshi, A. (2012). Inverse Watkins–Johnson topology-based inverter. IEEE Transactions on Power Electronics, 27(3), 1066-1070.

[3]. Mohan, N., Undeland, T. M., & Robbins, W. P. (2003). Power Electronics, Circuits, Devices and Applications. New York: John Wiley & Sons.

[4]. Peng, F. Z. (2003). Z-source inverter. IEEE Transactions on Industry Applications, 39(2), 504-510.

[5]. Rashid, M. H., & Krein, P. T. (2015). Power Electronics: Circuits, Devices and Applications, Third edition. New Delhi: Pearson Education, PHI.

[6]. Ray, O., & Mishra, S. (2012, September). A modified boost topology with simultaneous AC and DC load. In Energy Conversion Congress and Exposition (ECCE), 2012 IEEE (pp. 2454-2459). IEEE.

[7]. Sanchis, P., Ursæa, A., Gubia, E., & Marroyo, L. (2005). Boost DC-AC inverter: A new control strategy. IEEE Transactions on Power Electronics, 20(2), 343-353.

[8]. Schonberger, J., Duke, R., & Round, S. D. (2006). DC-bus signaling: A distributed control strategy for a hybrid renewable nanogrid. IEEE Transactions on Industrial Electronics, 53(5), 1453-1460.

[9]. Upadhyay, S., Adda, R., Mishra, S., & Joshi, A. (2011, August). Derivation and characterization of switchedboost inverter. In Power Electronics and Applications (EPE 2011), Proceedings of the 2011-14^th European Conference on (pp. 1-10). IEEE.

[10]. Wai, R. J., Lin, C. Y., Duan, R. Y., & Chang, Y. R. (2007). High-efficiency DC-DC converter with high voltage gain and reduced switch stress. IEEE Transactions on Industrial Electronics, 54(1), 354-364.

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Research Paper

A PFC- Bridgeless SEPIC converter with Multiplier Cell for Universal Input Voltage Applications

Ganesh Yamavarapu* , Milka Lehtonen, M. Venkatesan*

* PG Scholar, Department of Electrical Engineering, Politecnico di milano, Milan, Italy.

Research Scholar, Department of Electrical Engineering, Vignan's Foundation for Science, Technology & Research, Guntur, Andhra Pradesh,India.

* Department of Electrical Engineering, Vignan's Lara Institute of Technology & Science, Guntur, Andhra Pradesh,India.

Yamavarapu, G., Swamy, D. M., and Venkatesan, M. (2018). A PFC- Bridgeless SEPIC converter with Multiplier Cell for Universal Input Voltage Applications. i-manager’s Journal on Electrical Engineering, 12(1), 10-17. https://doi.org/10.26634/jee.12.1.14266

Abstract

In this paper a new Power factor correction bridgeless Single Ended primary Inductor Converter (SEPIC) is designed for universal input voltage applications is presented in this paper. Now a days entire our electrical grid connected with nonlinear loads, so there is a need to improve power factor implied on the grid as well as power quality. The main drawbacks of the conventional SEPIC PFC is lower efficiency due to the conduction losses of the diodes. To improve efficiency of the system, a modified bridgeless SEPIC converter is proposed in this paper. The proposed modified PFC coverter offer higher operating efficiency with high gain. The high gain is obtained by multiplier circuits. The main advantages of the proposed system is diode bridge circuits completely eliminated for conventional circuits and also control circuit is very simple. The proposed converter is analysed interms of THD and also analysed gain of the converter with respect to the different duty cycle varying from 10% to 90%. The proposed converter is analysed with mathematical expressions. The results of the modified PFC have been verified using MATLAB Simulink.

References

[1]. Bachok, N. A., Sahid, M. R., & Aziz, J. A. (2015, October). Bridgeless SEPIC Power Factor Correction with coupled inductors. In Energy Conversion (CENCON), 2015 IEEE Conference on (pp. 160-164). IEEE.

[2]. Cho, J. G., Baek, J. W., Yoo, D. W., & Lee, H. S. (1998). Reduced conduction loss zero-voltage-transition power factor correction converter with low cost. IEEE Transactions on Industrial Electronics, 45(3), 395-400.

[3]. Ganesh, Y., Rao, M. S., & Sobhan, P. V. (2017). A high gain Bridgeless SEPIC Converter with multiplier stage fed to PMSM drive application. JARDCS, 9(4), 49-56.

[4]. García, O., Cobos, J. A., Prieto, R., Alou, P., & Uceda, J. (2003). Single phase power factor correction: A survey. IEEE Transactions on Power Electronics, 18(3), 749-755.

[5]. Ikeda, S., Furukawa, Y., Tsuruoka, S., & Kurokawa, F. (2016, November). High frequency resonant SEPIC converter with small turn-on current noises. In Renewable Energy Research and Applications (ICRERA), 2016 IEEE International Conference on (pp. 216-218). IEEE.

[6]. Ismail, E. H. (2009). Bridgeless SEPIC rectifier with unity power factor and reduced conduction losses. IEEE Transactions on Industrial Electronics, 56(4), 1147-1157.

[7]. Jasmine, K. H., & Raj, C. R. (2014, March). A high gain boost converter with input current ripple reduction. In Circuit, Power and Computing Technologies (ICCPCT), 2014 International Conference on (pp. 455-460). IEEE.

[8]. Ki, S. K., Cheng, D. K. W., & Lu, D. D. C. (2006, November). High efficiency and PF capability of Single Phase Power Factor Corrector. In TENCON 2006. 2006 IEEE Region 10 Conference (pp. 1-4). IEEE.

[9]. Kishore, G. I., & Tripathi, R. K. (2017, March). A novel high voltage gain single-phase AC-DC PFC converter using switched-capacitor. In Power, Control & Embedded Systems (ICPCES), 2017 4^th International Conference on (pp. 1-6). IEEE.

[10]. Kumar, P. (2016). Comparison of Boost Converter over a SEPIC converter with using a special type of load drive. Power, 3(10), 148-152.

[11]. Liu, Y. F., Meyer, E., & Liu, X. (2009). Recent developments in digital control strategies for DC/DC switching power converters. IEEE Transactions on Power Electronics, 24(11), 2567-2577.

[12]. Mahdavi, M., & Farzanehfard, H. (2011). Bridgeless SEPIC PFC rectifier with reduced components and conduction losses. IEEE Transactions on Industrial Electronics, 58(9), 4153-4160.

[13]. Mahdavi, M., & Farzanehfard, H. (2014). Zero-voltage transition bridgeless single-ended primary inductance converter power factor correction rectifier. IET Power Electronics, 7(4), 895-902.

[14]. Onal, Y., & Sozer, Y. (2016, March). Bridgeless SEPIC PFC converter for low total harmonic distortion and high power factor. In Applied Power Electronics Conference and Exposition (APEC), 2016 IEEE (pp. 2693-2699). IEEE.

[15]. Verma, C., and Kumar, B. A. (2016). Comparison of DC-DC converters with SEPIC converter for wind driven Induction generators. International Journal of Engineering Trends and Technology (IJETT), 39(4), 180- 183.

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Research Paper

Dynamic Modeling of Series Vectorial Compensator

K. Himaja * , T. S. Surendra , S. Tara kalyani*

* Lecturer, Department of Technical Education, Government of Andhra Pradesh, India.

Director, Visionary Lighting and Energy India (P) Ltd, Hyderabad, India..

* Controller of Examinations and Professor, Department of Electrical and Electronics Engineering, JNTU Hyderabad, India.

Himaja, K., Surendra, T. S., and kalyani, S. T. (2018). Dynamic Modelling of Series Vectorial Compensator. i-manager’s Journal on Electrical Engineering, 12(1), 18-25. https://doi.org/10.26634/jee.12.1.14273

Abstract

This study presents the theory and modelling of a novel controller based on PWM - based Series Vectorial Compensator (SVeC). This is a new series Flexible AC Transmission System (FACTS) controller for active power flow control in a transmission line and damping of low-frequency oscillations (LFO). This paper presents the basic module, steady- state operation, mathematical analysis, current injection model and dynamic model of SVeC. The main contribution of this work is that a current injection model of the SVeC for studying the effect of the SVeC on the LFO is proposed. A brief comparison of the Coordinated Control (COC) of SVeC and Power System Stabilizer (PSS) with without control is presented for dynamic series compensation of transmission lines. The multi machine network is used for comparison purpose. The performance of the proposed controller is checked through eigen-value analysis and non-linear time domain simulations under nominal load operation. The results obtained show that the proposed control is efficient for studying the effects of SVeC on the electro mechanical oscillations and it has better oscillation damping characteristics than without control.

References

[1]. Gonzalez, J. M., Canizares, C. A., & Ramirez, J. M. (2010). Stability modeling and comparative study of series vectorial compensators. IEEE Transactions on Power Delivery, 25(2), 1093-1103.

[2]. Himaja, K., Surendra, T. S., & Kalyani, S. T. (2016). Coordinated design of PSS and Series vectorial compensator controllers for damping power system oscillations. Journal of Electrical Engineering, 16(4), 507- 512.

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

[4]. Lopes, L. A., & Joos, G. (2001). Pulse width modulated capacitor for series compensation. IEEE Transactions on Power Electronics, 16(2), 167-174.

[5]. Mancilla-David, F., Bhattachar ya, S., & Venkataramanan, G. (2008). A comparative evaluation of series power-flow controllers using DC-and AC-link converters. IEEE Transactions on Power Delivery, 23(2), 985-996.

[6]. Padiyar, K. R. (1996). Power System Dynamics Stability and Control. Singapore: Wiley.

[7]. Pal, B., & Chaudhuri, B. (2006). Robust Control in Power Systems. Springer Science & Business Media.

[8]. Sadikovic, R. (2004). Damping controller design for Power System Oscillations, Internal Report. 1-14.

[9]. Safari, A., Shayeghi, H., & Shayanfar, H. A. (2016). Coordinated control of pulse width modulation based AC link series compensator and power system stabilizers. International Journal of Electrical Power & Energy Systems, 83, 117-123.

[10]. Sauer, P. W., & Pai, M. A. (1998). Power System Dynamics and Stability. New Jersey : Prentice-Hall.

[11]. Truong, D. N., & Wang, L. (2013, May). Dynamic stability enhancement of a single-machine infinite-bus system using a series vectorial compensator. In Industrial Electronics (ISIE), 2013 IEEE International Symposium on (pp. 1-6). IEEE.

[12]. Venkataramanan, G., & Johnson, B. K. (2002). Pulse width modulated series compensator. IEE Proceedings- Generation, Transmission and Distribution, 149(1), 71-75.

[13]. Wang, L., & Truong, D. N. (2012). Application of a SVeC and a SSSC on damping improvement of a SG-based power system with a PMSG-based offshore wind farm. In Power and Energy Society General Meeting, 2012 IEEE (pp. 1-7). IEEE.

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Research Paper

Implementation of Artificial Neural Network on Temperature Control Process

Nupoor Patil*

* M.Tech Scholar, Department of Electrical Engineering, Walchand College of Engineering, Sangli, Maharashtra, India.

** Associate Professor, Department of Electrical Engineering, Walchand College of Engineering, Sangli, Maharashtra, India.

Patil, N., and Patil D. R. (2018). Implementation of Artificial Neural Network on Temperature Control Process. i-manager’s Journal on Electrical Engineering, 12(1), 26-32. https://doi.org/10.26634/jee.12.1.14329

Abstract

Neural network controllers are network systems which have been inspired from biological neurons. Artificial neural networks ( ANN) work on the principle of learning, where the networks learn based on the data provided to the network. The paper constitutes of implementation of ANN on temperature-controlled process like Single Board Heater System (SBHS). Feed forward back propagation algorithm has been used for system learning. ANN controller learning is done using Levenberg Margaret Algorithm, which is the fastest algorithm for supervised learning (Yang and Kim, 2000). The ANN controller used has three layers, namely input layer, hidden layer, and output layer. The training data set which has been provided to the controller is the open loop response of the system. The responses performance plots, time series plot, and regression plots for a variety of input data sets have been plotted.

References

[1]. Astrom, K. J., & Wittenmark, B. (2013). Computerrd Controlled Systems: Theory and Design, 3^rdEd. Prentice Hall.

[2]. Forssell, U. (1999). Closed-loop identification: Methods, theory, and applications (Doctoral Dissertation, Linköping University Electronic Press).

[3]. Hájek, P. (2011). Municipal credit rating modelling by neural networks. Decision Support Systems, 51(1), 108- 118.

[4]. Haugen, F. (2012). The Good Gain method for simple experimental tuning of PI controllers. Modeling, Identification and Control, 33(4), 141-152.

[5]. Kumar, R., Vardhan, A. H., Bharadwaj, A. S. (2013). Temperature control system using Artificial Neural Network. International Journal of Engineering Research and Applications (IJERA), 3(4), 672-675.

[6]. Ljung, L. (1999). System Identification–Theory for the User. PTR Prentice Hall, Upper Saddle River, NJ.

[7]. Morel, N., Bauer, M., El-Khoury, M., & Krauss, J. (2001). Neurobat, a predictive and adaptive heating control system using Artificial Neural Networks. International Journal of Solar Energy, 21(2-3), 161-201.

[8]. Narendra, K. S., & Parthasarathy, K. (1990). Identification and control of dynamical systems using neural networks. IEEE Transactions on Neural Networks, 1(1), 4-27.

[9]. Pinjare, S. L., & Kumar, A. (2012). Implementation of neural network back propagation training algorithm on FPGA. International Journal of Computer Applications, 52(6), 1-7.

[10]. Rakhi, R., Rokade, R., Arora, I., Moudgalya, K. M., & Belusonti, K. V. (2014). Documentation for Single Board Heater System. Virtual Labs. Retrieved from http://vlabs.iitb.ac.in/sbhs/static/manual/sbhs-newmanual. pdf

[11]. Tangirala, A. K. (2014). Principles of System Identification: Theory and Practice. CRC Press.

[12]. Yang, I. H., & Kim, K. W. (2000). Development of Artificial Neural Network model for the prediction of descending time of room air temperature. International Journal of Air-Conditioning and Refrigeration, 12(11), 1038-1048.

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Research Paper

Calculation of Transmission Prices for Bilateral Contracts and Optimization of Pool Contracts Using Intelligent Techniques

Sushil Kumar Gupta* , Jwala Narasimha Rao**

* Professor, Department of Electrical Engineering, Deenbandhu Chhotu Ram University, Murthal (Sonepat) Haryana, India.

** Wipro Technology, Greater Noida, India.

Gupta S. K., and Gupta, D. (2018). Calculation of Transmission Prices for Bilateral Contracts and Optimization of Pool Contracts Using Intelligent Techniques. i-manager’s Journal on Electrical Engineering, 12(1), 33-40. https://doi.org/10.26634/jee.12.1.14319

Abstract

The objective of ELD is to determine economic sharing of generating power from different generating stations to meet the demand while satisfying the constraints. Power scheduling is one of the most important problems in the optimization of operation price of the power system. In deregulated power system environment Economic load dispatch (ELD) has the objective of generation allocation to the power generators such that the total prices paid to Gencos is minimized and all operating constraints are satisfied. Various techniques are available to address ELD and other power system optimization problems. The soft computing techniques like particle swarm optimization (PSO), GA and lemda iteration are being used to improve the optimization results. This paper presents and compares the performance of the PSO, GA, and ABC with conventional ELD method for optimization of pool prices. A study on IEEE 26 Bus System has been made for calculating transmission Prices for Bilateral Contracts between GENCOs and DISCOs at different buses. Intelligent techniques have been applied to optimize pool prices and minimizing transmission losses. Transmission pricing are calculated using MWmile method. The results of these techniques are compared, which show better performance of ELD+PSO method over ELD+ABC and ELD+GA methods both.

References

[1]. Bhattacharya, A., & Chattopadhyay, P. K. (2010a). Biogeography-based optimization for different economic load dispatch problems. IEEE Transactions on Power Systems, 25(2), 1064-1077.

[2]. Bhattacharya, A., & Chattopadhyay, P. K. (2010b). Hybrid differential evolution with biogeography-based optimization for solution of economic load dispatch. IEEE Transactions on Power Systems, 25(4), 1955-1964.

[3]. David, A. K. (1998). Dispatch methodologies for open access transmission systems. IEEE Transactions on Power Systems, 13(1), 46-53.

[4]. Galiana, F. D., & Phelan, M. (2000). Allocation of transmission losses to bilateral contracts in a competitive environment. IEEE Transactions on Power Systems, 15(1), 143-150.

[5]. Gupta, S. K., & Chawala, P. (2015). Economic load dispatch in thermal power plant considering additional constraints using curve Fitting and ANN. Review of Energy Technologies and Policy Research, 2(1), 16-28.

[6]. Gupta, S. K., & Sharma, H. D. (2016). Optimization of pool contracts using intelligent techniques and calculation of transmission prices for bilateral contracts. IUP Journal of Electrical & Electronics Engineering, 9(3), 1-12.

[7]. Gupta, S., & Sharma, H. D. (2015). Transmission prices for bilateral contracts and optimization of pool contracts using GA and ABC. International Journal Series in Engineering Science (IJSES), 1(1), 39-48.

[8]. Happ, H. H. (1994). Cost of wheeling methodologies. IEEE Transactions on Power Systems, 9(1), 147-156.

[9]. Kennedy, J., & Eberhart, R. C. (1942). Particle swarm optimization. Proc. IEEE International Conference on Neural Networks (pp. 1942-1948). IEEE.

[10]. Lai, L. L. (Ed.). (2001). Power System Restructuring and Deregulation: Trading, Performance and Information Technology. John Wiley & Sons.

[11]. Maan, R. S., Mahela, O. P., and Gupta, M. (2013). Economic load dispatch optimization of six generator generating unit using particle swarm optimization. IOSRJEEE, 6 (2), 21-27.

[12]. Musirin, I., Ismail, N. H. F., Kalil, M. R., Idris, M. K., Rahman, T. K. A., & Adzman, M. R. (2009). Ant Colony Optimization (ACO) technique in economic power dispatch problems. In Trends in Communication Technologies and Engineering Science (pp. 191-203). Springer, Dordrecht.

[13]. Rau, N. S. (1989). Certain considerations in the pricing of transmission service. IEEE Transactions on Power Systems, 4(3), 1133-1139.

[14]. Saeh, I. S., & Khairuddin, A. (2009). Implementation of Artificial Intelligence Techniques for steady state security Assessment in Pool market. International Journal of Engineering, 3(1), 1-11.

[15]. Shi, Y., & Eberhart, R. (1998, May). A modified particle swarm optimizer. In Evolutionary Computation Proceedings, 1998. IEEE World Congresson Computational Intelligence., The 1998 IEEE International Conference on (pp. 69-73). IEEE.

[16]. Shi, Y., & Eberhart, R. C. (1999). Empirical study of particles warm optimization. In Evolutionary computation, 1999. CEC 99. Proceedings of the 1999 congress on (Vol. 3, pp. 1945-1950). IEEE.

[17]. Yuen, Y. S. C., & Lo, K. L. (2003). Simulations of bilateral energy markets using MATLAB. COMPEL- The International Journal for Computation and Mathematics in Electrical and Electronic Engineering, 22(2), 424-443.

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Research Paper

A Pedal-Assisted E-bike Model

Chandrakant Chandrawanshi* , Deepak Kumar, Mayank Tiwari, Shivendra Singh, Utkarsh Dubey

*_***** UG Graduate, Department of Electrical Engineering, Bharati Vidyapeeth College of Engineering, Pune, Maharashtra, India.

Chandrawanshi, C., Kumar, D.,Tiwari, M., Singh, S., and Dubey, U. (2018). Bicycle of Upcoming Future E-Bike. i-manager’s Journal on Electrical Engineering,12(1), 41-45. https://doi.org/10.26634/jee.12.1.14242

Abstract

The goal of this research paper is to promote the use of clean energy by incorporating it into a bicycle. In today's fast forwarding world where one is always in transit from one place to another, has greatly exploited the conventional energy resources, thus compromising environment as well as one's own physical health. Hence this paper not only aims at utilizing a clean energy source but also promote a healthy lifestyle in such a busy world. Our project “pedal assisted ebicycle” allows the rider to make use of an electric motor providing a higher speed and comfort along with pedaling at a more even terrain. Current scenario of use of e vehicles has greatly diverted the attention of the people towards adopting such means of transport thereby increasing the chances of success of our project.

References

[1]. Arsie, I., Rizzo, G., & Sorrentino, M. (2006, August). Optimal design of a hybrid solar vehicle. In AVEC (Vol. 6, pp. 20-24).

[2]. Cong, R., Martinez, R., Casilang, M., & Vong, P. (2010). Electric Bicycle System. Senior Project California Polytechnic State University, San Luis Obispo.

[3]. Ehsani, M., Gao, Y., Longo, S., & Ebrahimi, K. (2018). Modern Electric, Hybrid Electric, and Fuel Cell Vehicles. CRC Press.

[4]. Faria, N., Trovao, J. P., Ramos, A. F., & Pereirinha, P. G. (2014, October). Comparison of different battery technologies for electric minibuses using energetic macroscopic representation. In Vehicle Power and Propulsion Conference (VPPC), 2014 IEEE (pp. 1-6). IEEE.

[5]. Gaines, L. (2014). The future of automotive lithium-ion battery recycling: Charting a sustainable course. Sustainable Materials and Technologies, 1, 2-7.

[6]. Goodman, J. D. (2010). An Electric Boost for Bicyclists. New York Times, B1.

[7]. Muetze, A., & Tan, Y. C. (2007). Electric bicycles - A performance evaluation. IEEE Industry Applications Magazine, 13(4), 12-21.

[8]. Tremblay, O., & Dessaint, L. A. (2009). Experimental validation of a batter y dynamic model for EV applications. World Electric Vehicle Journal, 3(2), 289- 298.

[9]. Vinatha, U., Pola, S., & Vittal, K. P. (2008, November). Simulation of four quadrant operation & speed control of BLDC motor on MATLAB/Simulink. In TENCON 2008-2008 IEEE Region 10 Conference (pp. 1-6). IEEE.

[10]. Wilson, D. G. (2004). Bicycle Science, 3^rdEd. The MIT Press, Cambridge, Massachussets.

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

Current Issue Vol. 17 Issue 4

Most Read

Most Cited

Volume 12 Issue 1 July - September 2018

Design of PI Speed Controller for Power Converter fed Variable Speed DC Drive

Dr. Pasala* , I. Prabhakar Reddy**

This paper has been retracted due to dual submission.

SPWM based Hybrid Converter for Nano Grid Applications

Ashwath kumar Shetty* , Chandrashekhar Badachi**

*Electrical Engineer - Converter Design, Bombardier Transportation, Vadodara, Gujarat, India. ** Associate Professor, Department of Electrical and Electronics Engineering, M S Ramaiah Institute of Technology, Bangalore, India.

Shetty, A.K, & Badachi, C. (2018). Spwm Based Hybrid Converter for Nano Grid Applications i-manager’s Journal on Electrical Engineering, 12(1), 1-9. https://doi.org/10.26634/jee.12.1.14766

Abstract

References

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A PFC- Bridgeless SEPIC converter with Multiplier Cell for Universal Input Voltage Applications

Ganesh Yamavarapu* , Milka Lehtonen**, M. Venkatesan***

Yamavarapu, G., Swamy, D. M., and Venkatesan, M. (2018). A PFC- Bridgeless SEPIC converter with Multiplier Cell for Universal Input Voltage Applications. i-manager’s Journal on Electrical Engineering, 12(1), 10-17. https://doi.org/10.26634/jee.12.1.14266

Abstract

References

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Dynamic Modeling of Series Vectorial Compensator

K. Himaja * , T. S. Surendra **, S. Tara kalyani***

* Lecturer, Department of Technical Education, Government of Andhra Pradesh, India. ** Director, Visionary Lighting and Energy India (P) Ltd, Hyderabad, India.. *** Controller of Examinations and Professor, Department of Electrical and Electronics Engineering, JNTU Hyderabad, India.

Himaja, K., Surendra, T. S., and kalyani, S. T. (2018). Dynamic Modelling of Series Vectorial Compensator. i-manager’s Journal on Electrical Engineering, 12(1), 18-25. https://doi.org/10.26634/jee.12.1.14273

Abstract

References

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Implementation of Artificial Neural Network on Temperature Control Process

Nupoor Patil*

* M.Tech Scholar, Department of Electrical Engineering, Walchand College of Engineering, Sangli, Maharashtra, India. ** Associate Professor, Department of Electrical Engineering, Walchand College of Engineering, Sangli, Maharashtra, India.

Patil, N., and Patil D. R. (2018). Implementation of Artificial Neural Network on Temperature Control Process. i-manager’s Journal on Electrical Engineering, 12(1), 26-32. https://doi.org/10.26634/jee.12.1.14329

Abstract

References

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Calculation of Transmission Prices for Bilateral Contracts and Optimization of Pool Contracts Using Intelligent Techniques

Sushil Kumar Gupta* , Jwala Narasimha Rao**

* Professor, Department of Electrical Engineering, Deenbandhu Chhotu Ram University, Murthal (Sonepat) Haryana, India. ** Wipro Technology, Greater Noida, India.

Gupta S. K., and Gupta, D. (2018). Calculation of Transmission Prices for Bilateral Contracts and Optimization of Pool Contracts Using Intelligent Techniques. i-manager’s Journal on Electrical Engineering, 12(1), 33-40. https://doi.org/10.26634/jee.12.1.14319

Abstract

References

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A Pedal-Assisted E-bike Model

Chandrakant Chandrawanshi* , Deepak Kumar**, Mayank Tiwari***, Shivendra Singh****, Utkarsh Dubey*****

*_***** UG Graduate, Department of Electrical Engineering, Bharati Vidyapeeth College of Engineering, Pune, Maharashtra, India.

Chandrawanshi, C., Kumar, D.,Tiwari, M., Singh, S., and Dubey, U. (2018). Bicycle of Upcoming Future E-Bike. i-manager’s Journal on Electrical Engineering,12(1), 41-45. https://doi.org/10.26634/jee.12.1.14242

Abstract

References

Full Article (HTML)

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*Electrical Engineer - Converter Design, Bombardier Transportation, Vadodara, Gujarat, India.

** Associate Professor, Department of Electrical and Electronics Engineering, M S Ramaiah Institute of Technology, Bangalore, India.

Ganesh Yamavarapu* , Milka Lehtonen, M. Venkatesan*

K. Himaja * , T. S. Surendra , S. Tara kalyani*

* Lecturer, Department of Technical Education, Government of Andhra Pradesh, India.

Director, Visionary Lighting and Energy India (P) Ltd, Hyderabad, India..

* Controller of Examinations and Professor, Department of Electrical and Electronics Engineering, JNTU Hyderabad, India.

* M.Tech Scholar, Department of Electrical Engineering, Walchand College of Engineering, Sangli, Maharashtra, India.

** Associate Professor, Department of Electrical Engineering, Walchand College of Engineering, Sangli, Maharashtra, India.

* Professor, Department of Electrical Engineering, Deenbandhu Chhotu Ram University, Murthal (Sonepat) Haryana, India.

** Wipro Technology, Greater Noida, India.

Chandrakant Chandrawanshi* , Deepak Kumar, Mayank Tiwari, Shivendra Singh, Utkarsh Dubey