Title :
Tuning of 2-DOF PID controller by immune algorithm
Author_Institution :
Dept. of Instrum. & Control Eng., Hanbat Nat. Univ., Seoul, South Korea
Abstract :
This paper considers that auto tuning of a 2-DOF PID controller can be effectively performed by immune algorithms. A number of tuning approaches for PID controllers are considered in the context of intelligent tuning methods. However, in the case of a 2-DOF PID controller, tuning based on classical approaches such a trial and error has been suggested. A general view is also provided that they are the special cases of either the linear model or the single control system. On the other hand, since the immune network system possesses a self organizing and distributed memory, it is thus adaptive to its external environment and allows a PDP (parallel distributed processing) network to complete patterns against the environmental situation. It can also provide an optimal solution. Simulation results reveal that immune algorithm based tuning is an effective approach to search for optimal or near optimal control
Keywords :
adaptive control; adaptive systems; evolutionary computation; learning (artificial intelligence); optimal control; self-adjusting systems; three-term control; tuning; 2-DOF PID controller; auto-tuning; external environment adaptation; immune algorithms; intelligent tuning methods; linear model; near optimal control; optimal control; parallel distributed processing network; patterns; self organizing distributed memory; simulation; Cities and towns; Control system synthesis; Control systems; Error correction; Fuzzy neural networks; Genetic algorithms; Instruments; Neural networks; Power generation; 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.2002.1007007
