Intelligence Method for PID Controller Design in AVR System

Subject Areas : International Journal of Smart Electrical Engineering

Seyyed Amir  Hashemi Zadeh1 ¹ (Department of electrical engineering, islamic azad university branch Rafsanjan ,Iran)
Mostafa  Zamani Mohi Abadi ² (Faculty Member, Research Department of High Temperature Fuel Cell, Vali-e-Asr University of Rafsanjan, Iran)

Received: 2015-04-21 Accepted : 2015-04-21 Published : 2014-10-01

Keywords:

References:

[1] R. A. Krohling and J. P. Rey, “Design of Optimal

Disturbance Rejection PID Controllers Using Genetic

Algorithm”, IEEE Trans. Evolutionary Computation, Vol.5,

Iss.1, pp.78-82, Feb 2001.

[2] J. G. Ziegler and MB. Nichols., “Optimum Settlings for

Automatic Controllers”, Trans. On ASME., Vol.64 ,

pp.759-768, 1942.

[3] C.C. Hang, K.J. Astrom, W.K. Ho., “Refinements of The

Ziegler- Nichols Tuning Formula”, IEE proceedings-

Control Theory and Applications, Vol.138, No.2, pp.111-

118, March 1991.

[4] A.Visioli, “Tuning of PID Controllers With Fuzzy Logic”,

IEE proc. Control Theory App., Vol.148, pp.1-8, January

2001.

[5] Paul Acarnley, “Tuning PI Speed Controllers for Electric

Drives Using Simulated Annealing”, IEEE International

Symposium on Industrial Electronics, pp.1131-1135, 2002.

[6] E. Salim Ali and S. M. Abd-Elazim., “ Optimal PID Tuning

for Load Frequency Control Using Bacteria Foraging

Optimization Algorithm”, Proceedings of the 14th

International Middle East Power Systems Conference

(MEPCON’10), Cairo University, Egypt, PaperID191,

Dec.19-21, 2010.

[7] A. Ahmadi-Javid., “Anarchic Society Optimization: A

Human Inspired Method, Applied Soft Computing”, In

Proc. of IEEE Congress on Evolutionary Computation, New

Orleans, LA, pp.2586-2592, 2011.

[8] H. Gozde, M.C. Taplamacioglu., “Application Of Artificial

Bee Colony Algorithm in an Automatic Voltage Regulator

(AVR) System”, International Journal on Technical and

Physical Problems of Engineering, Vol.1, No.3, pp.88-92,

2010.

[9] V. Mukherjee, S.P. Ghoshal., “Intelligent Particle Swarm

Optimized Fuzzy PID Controller for AVR System”, Electric

Power Systems Research, Vol.77, pp.1689-1698, 2007.

[10] A.K. Kaviani, H.R. Baghaei, Gh.H. Riahi, “Optimized

Sizing of a Hybrid Wind Power Plant”, 22th International

Electrical Conference, Tehran (PSC), 2007.

[11] M. Abachizadeh, M.R.H. Yazdi, A. Yousefi Koma.,

“Optimal Tuning of PID Controllers Using Artificial Bee

Colony Algorithm”, Advanced Intelligent Mechatronics

Conference, pp.379-384, 2010.

[12] Niknam T, Narimani MR, Azizipanah-Abarghooee R., “A

Multi-Objective Fuzzy Adaptive PSO Algorithm for

Location of Automatic Voltage Regulators in Radial

Distribution Networks”, Int. J. on Control Autom. Syst.,

Vol.10, No.4, pp.772–780, 2012.

[13] Tang Y,Cui M,Hua C,Li L,Yang Y., “Optimum Design of

Fractional Order PI kDl Controller for AVR System Using

Chaotic Ant Swarm”, Expert Syst. Appl., 2012.

[14] Adel A. A. El-Gammal1 Adel A. El-Samahy., “A Modified

Design of PID Controller For DC Motor Drives Using

Particle Swarm Optimization PSO”, 1Energy Research

Centre, University of Trinidad and Tobago UTT (Trinidad

and Tobago), Lisbon, Portugal, Mar.18-20, 2009.