Title :
Structured genetic algorithm for robust H∞ control systems design
Author :
Tang, K.S. ; Man, K.F. ; Gu, D.-W.
Author_Institution :
Dept. of Electron. Eng., City Univ. of Hong Kong, Hong Kong
fDate :
10/1/1996 12:00:00 AM
Abstract :
A structured genetic algorithm (SGA) approach is developed for robust controller design based on the concept of an H∞ loop-shaping technique and the method of inequalities. Such an SGA is capable of simultaneously searching the orders and coefficients of the precompensator and postcompensator for the weighted plant. It is, therefore, not necessary to predefine the order of compensators as in usual practice. A multiple objective ranking approach is also incorporated so that the design criteria of extreme plants can be easily achieved. The effectiveness of such a technique is illustrated by a high-purity distillation column design example
Keywords :
H∞ control; chemical industry; closed loop systems; control system synthesis; distillation; genetic algorithms; process control; robust control; H∞ loop-shaping technique; chemical process control; distillation column; inequalities method; multiple objective ranking approach; postcompensator; precompensator; robust H∞ control systems design; structured genetic algorithm; Algorithm design and analysis; Constraint optimization; Control systems; Design optimization; Distillation equipment; Genetic algorithms; Robust control; Robustness; Time domain analysis; Uncertainty;
Journal_Title :
Industrial Electronics, IEEE Transactions on