Title :
Auto-tuning of reference model based PID controller using immune algorithm
Author :
Kim, Dong Hwa ; Hong, Won Pyo ; Park, Jin Ill
Author_Institution :
Dept. of Instrum. & Control Eng, Hanbat Nat. Univ., Seoul, South Korea
Abstract :
An auto-tuning scheme of a PID controller based on the reference model has been studied using the immune algorithm for a process. Many sophisticated tuning algorithms have been tried in order to improve PID controller performance in such difficult conditions. However, in an actual plant, they are manually tuned through a trial and error procedure, and the derivative action is switched off. Therefore, it is difficult to tune. Simulation results of immune based tuning reveal that the suggested tuning approach is an effective approach to search for optimal or near optimal process control
Keywords :
learning (artificial intelligence); optimal control; process control; simulation; three-term control; tuning; auto-tuning; immune algorithm; near optimal process control; optimal process control; reference model; reference model based PID controller; simulation; Artificial immune systems; Artificial intelligence; Automatic control; Biological neural networks; Control systems; Immune system; Intelligent robots; Process control; Systems engineering and theory; Three-term control;
Conference_Titel :
Evolutionary Computation, 2002. CEC '02. Proceedings of the 2002 Congress on
Conference_Location :
Honolulu, HI
Print_ISBN :
0-7803-7282-4
DOI :
10.1109/CEC.2002.1006282
