Design of PID controller with incomplete derivation based on differential evolution algorithm * * This project was supported by the National Natural Science Foundation of China (60375001) and the Scientific Research Foundation of Hunan Provincial Education Department (05B016).

Journal of Systems Engineering and Electronics

Volumn 19, Issue 3, 2008, Pages 578-583

  Lianghong, Wu ^a,b   Yaonan, Wang ^b   Shaowu, Zhou ^a   Wen, Tan ^a  

^a HUNAN UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

^b HUNAN UNIVERSITY   (China)

Author keywords

differential evolution; incomplete derivation; parameter tuning; PID controller

Indexed keywords

DE ALGORITHMS; DESIGN METHODS; DIFFERENTIAL EVOLUTION (DE) ALGORITHM; FREQUENCY-DOMAIN (FD); INDUSTRY CO-OPERATION; NOVEL DESIGN; OPTIMAL PARAMETERS; OPTIMIZATION PROCEDURES; PERFORMANCE CRITERION; PID CONTROLLER WITH INCOMPLETE DERIVATION; PID CONTROLLERS; SIMULATION RESULTS; STABLE CONVERGENCE; TIME DOMAIN (OCT);

AEROSPACE ENGINEERING; AEROSPACE INDUSTRY; BOOLEAN FUNCTIONS; COMPUTATIONAL EFFICIENCY; CONTROL SYSTEMS; DIGITAL ARITHMETIC; ELECTRIC CONTROL EQUIPMENT; EVOLUTIONARY ALGORITHMS; GALLIUM; MILITARY DATA PROCESSING; PARAMETER ESTIMATION; PNEUMATIC CONTROL EQUIPMENT; PROPORTIONAL CONTROL SYSTEMS; ROBUST CONTROL; ROBUSTNESS (CONTROL SYSTEMS); STEP RESPONSE; THREE TERM CONTROL SYSTEMS; TIME VARYING CONTROL SYSTEMS; TWO TERM CONTROL SYSTEMS; ZINC;

CONTROL THEORY;

EID: 45849089592     PISSN: 10044132     EISSN: None     Source Type: Journal    
DOI: 10.1016/S1004-4132(08)60123-1     Document Type: Article

References (11)

1. Wang Y. Intelligent control system. Second Edition (2006), Hunan University Press, Changsha
2. Wang W., Zhang J., and Chai T. A survey of advanced PID parameter tuning methods. Acta Automatica Sinica 26 3 (2000) 347-355
3. Ziegler J., and Nichols N. Optimum setting for automatic controllers. ASME Trans. 64 8 (1942) 759-768
4. Wang P., and Kwok D. Auto-tuning of classical PID controllers using an advanced genetic algorithm. Proc. of IEEE Int. Conf. on Power Electronics and Motion Control, San Diego (1992) 1224-1229
5. Wang L., Li W., and Zhong D. Optimal design of controllers for non-minimum phase systems. Acta Automatica Sinica 29 1 (2003) 135-141
6. Gaing Z. A particle swarm optimization approach for optimum design of PID controller in AVR system. IEEE Trans. on Energy Conversion 19 2 (2004) 384-391
7. Wang J., Wang J., and Wang W. Self-tuning of PID parameters based on particle swarm optimization. Control and Decision 20 1 (2005) 73-76
8. Tan G., Zeng Q., and Li W. Design of PID controller with incomplete derivation based on ant system algorithm. Journal of Control Theory and Applications 2 3 (2004) 246-252
9. Li L., Peng H., Wang X., et al. PID parameter tuning based on chaotic ant swarm. Chinese Journal of Scientific Instrument 27 9 (2006) 1104-1106
10. Storn R., and Price K. Differential evolution-a simple and efficient adaptive scheme for global optimization over continuous spaces. International Computer Science Institute, Berkley (1995)
11. Wu L., Wang Y., Yuan X., et al. Differential evolution algorithm with adaptive second mutation. Control and Decision 21 8 (2006) 898-902