Title :
Adaptive PID control using a genetic algorithm
Author :
Van Rensburg, P.J. ; Shaw, I.S. ; van Wyk, J.D.
Author_Institution :
Ind. Electron. Technol. Res. Group, Rand Afrikaans Univ., Johannesburg, South Africa
Abstract :
Plant parameters change mostly due to ageing of the plant or changes in the load. This means that PID constants are no longer optimal and need to be updated. The paper describes how a genetic algorithm could be used to update PID constants so that optimal control could be maintained
Keywords :
adaptive control; genetic algorithms; optimal control; three-term control; tuning; adaptive PID control; genetic algorithm; optimal control; Adaptive control; Aging; Control systems; Feedback; Genetic algorithms; Industrial electronics; Optimal control; Pi control; Proportional control; Three-term control;
Conference_Titel :
Knowledge-Based Intelligent Electronic Systems, 1998. Proceedings KES '98. 1998 Second International Conference on
Conference_Location :
Adelaide, SA
Print_ISBN :
0-7803-4316-6
DOI :
10.1109/KES.1998.725903