Design of optimal disturbance rejection PID controllers using genetic algorithms

This paper presents a method to design an optimal disturbance rejection PID controller. First, a condition for disturbance rejection of a control system-H/sub /spl infin//-norm-is described. Second, the design is formulated as a constrained optimization problem. It consists of minimizing a performan...

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Bibliographic Details
Published in:	IEEE transactions on evolutionary computation Vol. 5; no. 1; pp. 78 - 82
Main Authors:	Krohling, R.A., Rey, J.P.
Format:	Journal Article
Language:	English
Published:	New York, NY IEEE 01.02.2001 Institute of Electrical and Electronics Engineers The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	Applied sciences Artificial intelligence Computer science; control theory; systems Connectionism. Neural networks Constraint optimization Control systems Controllers Design engineering Design methodology Design optimization Disturbances Exact sciences and technology Genetic algorithms Mathematics Numerical analysis Numerical analysis. Scientific computation Numerical methods in mathematical programming, optimization and calculus of variations Numerical methods in optimization and calculus of variations Optimal control Optimization Performance analysis Proportional integral derivative Rejection Sciences and techniques of general use Servomotors System testing Three-term control Performance evaluation Disturbance rejection Feedback system Genetic algorithm Control system Constraint satisfaction Servomechanism Servomotor Optimal design Constrained optimization Differential integral proportional regulator
ISSN:	1089-778X, 1941-0026
Online Access:	Get full text
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