American Journal of Electrical and Electronic Engineering

ISSN (Print): 2328-7365

ISSN (Online): 2328-7357

Editor-in-Chief: Naima kaabouch

Website: http://www.sciepub.com/journal/AJEEE

   

Article

A Review on Hybrid Controller Using Soft Computing Algorithms

1Department of Electrical Engineering, IFTM University, Moradabad(U.P.), India

2Department of Electrical Engineering, ABESIT, Ghaziabad (U.P.), India


American Journal of Electrical and Electronic Engineering. 2016, 4(2), 49-61
doi: 10.12691/ajeee-4-2-2
Copyright © 2016 Science and Education Publishing

Cite this paper:
Lokesh Kumar Agrawal, Bhavesh Kumar Chauhan, G. K. Benerjee. A Review on Hybrid Controller Using Soft Computing Algorithms. American Journal of Electrical and Electronic Engineering. 2016; 4(2):49-61. doi: 10.12691/ajeee-4-2-2.

Correspondence to: Lokesh  Kumar Agrawal, Department of Electrical Engineering, IFTM University, Moradabad(U.P.), India. Email: lokesh_7575@rediffmail.com

Abstract

Aadaptability and self-organization of a system is two key factors, when it comes to how well the system is surviving for the changes to the environment and how these work within the plant. Different tuning methods and soft computing techniques improve these two factors in controllers. Considering the increasing complexity of dynamic systems along with their need for feedback controls, using more complicated controls has become necessary and these techniques can be a suitable response to this necessity. This paper briefly describes a review on different techniques used for PID tuning as well as soft computing algorithm for hybrid controllers. This paper provides a comprehensive reference source for people working with hybrid controllers.

Keywords

References

[1]  Emad Ali, “Automatic Fuzzy Tuning of Proportional-Integral Controller Based on Time-Domain Specification”, Journal of King Saud University, 17, Eng. Sci. (2), 171-196, 2005.
 
[2]  Hari Om Bansal, Rajamayyoor Sharma, P. R. Shreeraman, “PID Controller Techniques: A Review”, Journal of Control Engineering and Technology, Volume 2, Issue 4, October 2012, Pages 168-176.
 
[3]  Amit Kr Singh, Manjari Mehrotra, and AK Pandey, “Improvement of the Performance of Different Order System with Adaptive Fuzzy PID Controller”, VSRD-IJEECE, Volume 2, Issue 2, 27-38, 2012.
 
[4]  Prajakta S.Taywade, K.N.Kasat, “A Review on Implementation of Neuro-fuzzy PID Controller using FPGA”, International Journal of Engineering Research and General Science, Volume 3, Issue 1, January-February 2015, Pages 1145-1152.
 
[5]  Y.M. Zhao, W.F. Xie, X.W. Tu , “Performance-based parameter tuning method of model-driven PID control systems”, ISA Transactions, Volume 51, Issue 3, May 2012, Pages 393-399.
 
Show More References
[6]  Mohamed S. Zaky, “A self-tuning PI controller for the speed control of electrical motor drives”, Electric Power Systems Research, Volume 119, February 2015, Pages 293-303.
 
[7]  Dao Thanh Liem, Dinh Quang Truong, Kyoung Kwan Ahn, “A torque estimator using online tuning grey fuzzy PID for applications to torque-sensorless control of DC motors”, Mechatronics, Volume 26, March 2015, Pages 45-63.
 
[8]  Juing-Shian Chiou, Shun-Hung Tsai, Ming-Tang Liu, “A PSO-based adaptive fuzzy PID-controllers”, Simulation Modelling Practice and Theory, Volume 26, August 2012, Pages 49-59.
 
[9]  Rajani K. Mudi, Chanchal Dey, Tsu-Tian Lee, “An improved auto-tuning scheme for PI controllers”,ISA Transactions, Volume 47, Issue 1, January 2008, Pages 45-52.
 
[10]  Chanchal Dey, Rajani K. Mudi, “An improved auto-tuning scheme for PID controllers,”ISA Transactions, Volume 48, Issue 4, October 2009, Pages 396-409.
 
[11]  Muguo Li, Da Liu, “A Novel Adaptive Self-turned PID controller based on Recurrent-Wavelet-Neural-Network for PMSM Speed Servo Drive System”, Procedia Engineering, Volume 15, 2011, Pages 282-287.
 
[12]  Muawia A. Magzoub, Nordin B. Saad, Rosdiazli B. Ibrahim, “Efficiency Improvement of Induction Motor Variable Speed Drive Using a Hybrid Fuzzy-fuzzy Controller”, Energy Procedia, Volume 75, August 2015, Pages 1529-1535.
 
[13]  Sakuntala Mahapatra, Raju Daniel, Deep Narayan Dey, Santanu Kumar Nayak, “Induction Motor Control Using PSO-ANFIS”, Procedia Computer Science, Volume 48, 2015, Pages 753-768.
 
[14]  Sharda Patwa, “Control of starting current in three phase induction motor using fuzzy logic controller,” International Journal of Advanced Technology in Engineering and Science, Volume 1,Issue 12, pages 27-32, December 2013.
 
[15]  P.M.Menghal, A.Jaya Laxmi, “Adaptive Neuro Fuzzy based dynamic simulation of induction motor drives”, IEEE International Conference Fuzzy Systems (FUZZ-IEEE 2013) 7-10 July 2013.
 
[16]  P.M.Menghal, A.Jaya Laxmi, N.Mukhesh, “Dynamic simulation of induction motor drive using neuro controller”, International Journal on Recent Trends in Engineering and Technology, Volume 10, Issue 2, January 2014.
 
[17]  Ahmed J. Fattah, Ikhlas Abdel-Qader, “Performance and Comparison Analysis of Speed Control of Induction Motors using Improved Hybrid PID-Fuzzy Controller”, Electro/Information Technology (EIT), 2015 IEEE International Conference on Year 2015, Pages 575-580.
 
[18]  Mohammed Abdelbar Shamseldin and Adel A. EL-Samahy, “Speed Control of BLDC Motor by using PID Control and Self-tuning Fuzzy PID Controller”, 15th International Workshop on Research and Education in Mechatronics (REM), September 9-11, 2014, IEEE Conference Publication.
 
[19]  Bemal K. Bose, “Modern Power Electronics and Ac Drives”, 1st ed., Bernard Goodwin, Ed. USA: Prentice Hall, Inc., 2002.
 
[20]  Raul Rojas, “Neural Network a Systematic Introduction”, Springer-Verlag, Berlin 1996.
 
Show Less References

Article

Different Methods of Speed Control of Three-Phase Asynchronous Motor

1Department of Electrical and Electronic Engineering, Michael Okpara University of Agriculture, Umudike Abia State, Nigeria


American Journal of Electrical and Electronic Engineering. 2016, 4(2), 62-68
doi: 10.12691/ajeee-4-2-3
Copyright © 2016 Science and Education Publishing

Cite this paper:
G. C. Diyoke, Okeke C., Uchechi Aniagwu. Different Methods of Speed Control of Three-Phase Asynchronous Motor. American Journal of Electrical and Electronic Engineering. 2016; 4(2):62-68. doi: 10.12691/ajeee-4-2-3.

Correspondence to: G.  C. Diyoke, Department of Electrical and Electronic Engineering, Michael Okpara University of Agriculture, Umudike Abia State, Nigeria. Email: geraldiyoke@mouau.edu.ng

Abstract

Asynchronous motors are the most widely used electrical motors due to their reliability, low cost, ruggedness and robustness. However, asynchronous motors do not inherently have the capability of variable speed operation. Due to this reason, earlier dc motors were applied in most of the electrical drives. But the recent developments in speed control methods of the asynchronous motor have led to their large scale use in almost all electrical drives. In this paper, various methods of speed control of induction (asynchronous) motors such as variable rotor resistance, variable stator voltage, constant Volts/hertz control, frequency variation, pole changing, etc., were carried out and MATLAB software was used to develop the codes for the analysis of these methods.

Keywords

References

[1]  Rashidi, F., Rashidi, M.,”Design of robust sliding mode speed control with fuzzy approach for induction motor”, IEEE international conference on industrial technology (ICIT03), pp. 27-30.
 
[2]  Stephen J. Chapman; Electric Machinery Fundamental; Second Edition; McGraw-Hill companies; 2012.
 
[3]  O. I. Okoro; Introduction to Matlab/Simulink for Engineers and Scientists; Second Edition; John Jacob’s Classic Publishers Ltd; 2008.
 
[4]  P. S. Bimbhra; Power Electronics; 3rd Edition; Khanna Publishers; 2005.
 
[5]  A. E. Fitzgerald et al; Electric machinery; Sixth Edition; McGraw publishers; 2003.
 
Show More References
[6]  Shilpa V. Kailaswar, R. A. Keswani, “Speed Control of Three Phase Induction Motor by V/f Method for Batching Motion System” International Journal of Engineering Research and Application (IJERA) Vol. 3, Issue 2, March-April 2013, pp. 1732-1736.
 
[7]  Gourambika, M. S. Aspalli, “Speed Control of Three Phase Induction Motor by VVVF method using G7/A-1000 Drive” International Journal of Recent Technology and Engineering (IJRTE) Vol.-3, Issue-4, Sept 2014, pp. 43-49.
 
[8]  Chee- Mun Ong; Dynamic Simulation of Electric Machinery using Matlab and Simulink; Prentice hall PTR; 1998.
 
[9]  M.S.Aspalli, R. Asha, P.V. Hunagund, “Three Phase Induction Motor Drive Using IGBTs and Constant v/f Method” International Journal of Advanced in Electrical, Electronics and instrumentation Engineering vol. 1, Issue 5, November 2012, pp. 463-469.
 
Show Less References

Article

Electric Circuit Analysis Using a Simple Assumption-Based Technique

1Electrical and Computer Engineering Department, Faculty of Engineering, University of Jeddah, Jeddah, Saudi Arabia


American Journal of Electrical and Electronic Engineering. 2016, 4(2), 69-74
doi: 10.12691/ajeee-4-2-4
Copyright © 2016 Science and Education Publishing

Cite this paper:
Mousaab M. Nahas. Electric Circuit Analysis Using a Simple Assumption-Based Technique. American Journal of Electrical and Electronic Engineering. 2016; 4(2):69-74. doi: 10.12691/ajeee-4-2-4.

Correspondence to: Mousaab  M. Nahas, Electrical and Computer Engineering Department, Faculty of Engineering, University of Jeddah, Jeddah, Saudi Arabia. Email: mnahas1@uj.edu.sa

Abstract

This paper demonstrates a simple technique to analyze linear electric circuits. The technique is based on assuming some voltage or current values according to the given resistance/impedance values such that a relative circuit performance is obtained. The actual circuit results are achieved directly by normalizing the assumed values using a specific formula. In practice, this method either reduces the number of simultaneous equations or simplifies the mathematical formulas; hence the overall analysis procedure is reasonably accelerated. It is highly recommended that this method is taught in electric circuit courses especially in the beginning chapters so that students can have more variety of circuit analysis techniques. It is also possible to apply such a method to verify an existing solution or vice versa.

Keywords

References

[1]  C. Alexander and M. Sadiku, Fundamentals of Electric Circuits, McGraw-Hill, January 2012.
 
[2]  A. Fischer-Cripps, The Electronics Companion: Devices and Circuits for Physicists and Engineers, CRC Press, September 2014.
 
[3]  J. Walker, Physics, Addison-Wesley, January 2009.
 
[4]  C. Marinov, P. Neittaanmäki, Mathematical Models in Electrical Circuits: Theory and Applications, Springer, September 2012.
 
[5]  T. Floyd, Electric Circuits Fundamentals, Prentice Hall, July 2009.
 
Show More References
[6]  T. Floyd, Principles of Electric Circuits: Conventional Current Version, Prentice Hall, March 2009.
 
[7]  R. Boylestad, Introductory Circuit Analysis, Prentice Hall, January 2010.
 
[8]  C. Steinmetz, Theory and Calculation of Electric Circuits, Watchmaker Publishing, April 2010.
 
[9]  R. Thomas, A. Rosa and G. Toussaint, The Analysis and Design of Linear Circuits, Wiley, December 2011.
 
[10]  J. Svoboda and R. Dorf, Introduction to Electric Circuits, Wiley, March 2013.
 
[11]  J. Nilsson and S. Riedel, Electric Circuits, Prentice Hall, January 2014.
 
[12]  H. Jackson, D. Temple, and B. Kelly, Introduction to Electric Circuits, Oxford University Press, July 2015.
 
Show Less References