An optimal fuzzy PID controller
Tang, K.S.
Kim Fung Man
Guanrong Chen
Kwong, S.
Dept. of Electron. Eng., City Univ. of Hong Kong, Kowloon;
This paper appears in: Industrial Electronics, IEEE Transactions on
Publication Date: Aug 2001
Volume: 48,
Issue: 4
On page(s): 757-765
ISSN: 0278-0046
References Cited: 24
CODEN: ITIED6
INSPEC Accession Number: 7007128
Digital Object Identifier: 10.1109/41.937407
Current Version Published: 2002-08-07
Abstract
This paper introduces an optimal fuzzy
proportional-integral-derivative (PID) controller. The fuzzy PID
controller is a discrete-time version of the conventional PID
controller, which preserves the same linear structure of the
proportional, integral, and derivative parts but has constant
coefficient yet self-tuned control gains. Fuzzy logic is employed only
for the design; the resulting controller does not need to execute any
fuzzy rule base, and is actually a conventional PID controller with
analytical formulae. The main improvement is in endowing the classical
controller with a certain adaptive control capability. The constant PID
control gains are optimized by using the multiobjective genetic
algorithm (MOGA), thereby yielding an optimal fuzzy PID controller.
Computer simulations are shown to demonstrate its improvement over the
fuzzy PID controller without MOGA optimization
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