Intelligent particle swarm optimized fuzzy PID controller for AVR system

Electric Power Systems Research

Volumn 77, Issue 12, 2007, Pages 1689-1698

  Mukherjee, V ^a   Ghoshal, S P ^b  

^a ASANSOL ENGINEERING COLLEGE   (India)

^b NATIONAL INSTITUTE OF TECHNOLOGY   (India)

Author keywords

AVR; CRPSO; GA; Optimal control; PID controller; SFL

Indexed keywords

COMPUTATIONAL EFFICIENCY; FUZZY CONTROL; OPTIMAL SYSTEMS; ROBUST CONTROL; THERMOELECTRIC POWER PLANTS; THREE TERM CONTROL SYSTEMS;

AUTOMATIC VOLTAGE REGULATOR (AVR); CRAZINESS BASED PARTICLE SWARM OPTIMIZATION (CRPSO); SYSTEM PARAMETERS; VOLTAGE RESPONSE;

VOLTAGE REGULATORS;

EID: 34548324683     PISSN: 03787796     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.epsr.2006.12.004     Document Type: Article

References (13)

1. Wu Q.H., Hogg B.W., and Irwin G.W. A neural network regulator for turbogenerators. IEEE Trans. Neural Networks 3 (1992) 95-100
2. Qin S.H., and Borders G. A multi-region fuzzy logic controller of nonlinear process control. IEEE Trans. Fuzzy Syst. 2 (1994) 74-81
3. Kennedy J., and Eberhart R.C. Particle swarm optimization. Proceedings of IEEE International Conference on Neural Networks. Perth, Australia (1995) 1942-1948
4. Mann G.K.I., Hu B.-G., and Gosine R.G. Analysis of direction fuzzy PID controller structures. IEEE Trans. Syst., Man, Cybern. Part B 29 3 (1999) 371-388
5. Krohling R.A., and Rey J.P. Design of optimal disturbance rejection PID controllers using genetic algorithm. IEEE Trans. Evol. Comput. 5 February (2001) 78-82
6. Eberhart R.C., and Shi Y. Particle swarm optimization: developments, applications and resources. Evolutionary Computation Proceedings of the 2001 Congress, vol. 1 (May 2001) 81-86
7. Yoshida H., Kawata K., and Fukuyama Y. A particle swarm optimization for reactive power and voltage control considering voltage security assessment. Proceedings of IEEE Power Engineering Society Winter Meeting, vol. 2 (2001) 815-820
8. Venayagamoorthy G.K., Harley R.G., and Wunsch D.C. Implementation of adaptive critic-based neurocontrollers for turbogenerators in a multimachine power system. IEEE Trans. Neural Networks 14 September (5) (2003) 1047-1064
9. Ghoshal S.P., and Goswami S. Application of GA based optimal integral gains in fuzzy based active power-frequency control of non-reheat and reheat thermal generating systems. Electr. Power Syst. Res. 67 (2003) 79-88
10. Ghoshal S.P. Optimization of PID gains by particle swarm optimization in fuzzy based automatic generation control. Electr. Power Syst. Res. 72 (2004) 203-212
11. Gaing Z.L. A particle swarm optimization approach for optimum design of PID controller in AVR system. IEEE Trans. Energy Convers. 19 June (2) (2004) 384-391
12. Ho S.L., Yang S., Ni G., Lo E.W.C., and Wong H.C. A particle swarm optimization-based method for multiobjective design optimizations. IEEE Trans. Magnetics 41 May (5) (2005) 1756-1759
13. Roy R., and Ghoshal S.P. Evolutionary computation based optimization in fuzzy automatic generation control. IEEE-Power Engineering Society Conference, Paper No. 88. New Delhi, India, April (2006)