Title :
PID self-tuning control based on evolutionary programming
Author :
Xiaolan, Wang ; Dong Hanghui ; Debao, Chen
Author_Institution :
Coll. of Electr. & Inf. Eng., Gansu Univ. of Technol., Lanzhou, China
Abstract :
With the difficult in controlling dead-time and nonlinear system, a new method of fuzzy parameter self-tuning PID control which is based on the combination of evolutionary programming and fuzzy theory is proposed in this paper, it uses evolutionary programming directly to derive fuzzy rule bases of PID parameter tuning. To a certain extent, it overcomes the shortcoming of single fuzzy control and conventional PID. The simulation result of Dead-time and nonlinear systems shows better static and dynamic performance of the new approach than that of conventional PID control.
Keywords :
adaptive control; evolutionary computation; fuzzy control; nonlinear control systems; self-adjusting systems; three-term control; PID self-tuning control; dead-time control; evolutionary programming; fuzzy parameter self-tuning PID control; nonlinear system control; Control systems; Error correction; Fuzzy control; Genetic programming; Nonlinear control systems; PD control; Pi control; Proportional control; Three-term control; Tuning;
Conference_Titel :
Intelligent Control and Automation, 2002. Proceedings of the 4th World Congress on
Print_ISBN :
0-7803-7268-9
DOI :
10.1109/WCICA.2002.1020108