Title :
Fuzzy immune self-tuning PID controller and its simulation
Author :
Kan, Jiangming ; Li, Wenbin ; Liu, Jinhao
Author_Institution :
Beijing Forestry Univ., Beijing
Abstract :
Using biological immune principle and fuzzy theory, this paper gives a design of a fuzzy immune self-adjusting PID controller based on the differences among general PID control algorithm, fuzzy self-adjusting PID control algorithm and immune PID control algorithm. This kind of controller is used in the research of the self-heating system successfully. This kind of controller has a simple structure. Its parameters are also convenient to be adjusted. This paper makes the simulation program using the m-file in Matlab. The simulation experiments show that the robustness and self-adaptive ability of the controller is better than those of general PID control algorithm, fuzzy self-adjusting PID control algorithm and immune PID control algorithm.
Keywords :
adaptive control; fuzzy control; robust control; self-adjusting systems; three-term control; Matlab; biological immune principle; fuzzy immune self-tuning PID controller; fuzzy self-adjusting PID control algorithm; robustness; self-adaptive control; self-heating system; Artificial intelligence; Biological control systems; Control systems; Forestry; Fuzzy control; Fuzzy reasoning; Fuzzy systems; Immune system; Industrial control; Three-term control; Fuzzy; Immune; Self-adjusting; Self-heating;
Conference_Titel :
Industrial Electronics and Applications, 2008. ICIEA 2008. 3rd IEEE Conference on
Conference_Location :
Singapore
Print_ISBN :
978-1-4244-1717-9
Electronic_ISBN :
978-1-4244-1718-6
DOI :
10.1109/ICIEA.2008.4582590