Title :
A genetic approach to mixed H2/H∞ optimal PID control
Author :
Chen, Bor-Sen ; Cheng, Yu-Min ; Lee, Ching-Hsiang
Author_Institution :
Dept. of Electr. Eng., Nat. Tsing Hua Univ., Hsinchu, Taiwan
fDate :
10/1/1995 12:00:00 AM
Abstract :
Mixed H2/H∞ control designs are quite useful for robust performance design for systems under parameter perturbation and uncertain disturbance. However, the conventional output feedback designs of mixed H2/H∞ optimal control are very complicated and not easily implemented for practical industrial applications. In this article, a PID design algorithm for mixed H2/H∞ control is proposed via the technique of genetic searching algorithms. Genetic algorithms are optimization and machine learning algorithms, initially inspired from the processes of natural selection and evolutionary genetics. The proposed design algorithm will bridge the gap between the theoretical mixed H2/H∞ optimal control and classical PID industrial controls. Two design examples are given to illustrate the design procedure and the performance of the proposed algorithm
Keywords :
H∞ control; control system synthesis; genetic algorithms; robust control; three-term control; genetic approach; genetic searching algorithms; machine learning; mixed H2/H∞ optimal PID control; optimization; output feedback designs; parameter perturbation; robust performance design; uncertain disturbance; Algorithm design and analysis; Control design; Electrical equipment industry; Genetics; Industrial control; Machine learning algorithms; Optimal control; Output feedback; Robust control; Three-term control;
Journal_Title :
Control Systems, IEEE
