期刊
ISA TRANSACTIONS
卷 50, 期 1, 页码 28-36出版社
ELSEVIER SCIENCE INC
DOI: 10.1016/j.isatra.2010.10.005
关键词
Fuzzy PID controller; Genetic Algorithm; Networked control system; Optimal tuning; Particle Swarm Optimization; Random network delay
资金
- Board of Research in Nuclear Sciences (BRNS) of the Department of Atomic Energy (DAE), India [2009/36/62-BRNS]
An optimal PID and an optimal fuzzy PID have been tuned by minimizing the Integral of Time multiplied Absolute Error (ITAE) and squared controller output for a networked control system (NCS). The tuning is attempted for a higher order and a time delay system using two stochastic algorithms viz. the Genetic Algorithm (GA) and two variants of Particle Swarm Optimization (PSO) and the closed loop performances are compared. The paper shows that random variation in network delay can be handled efficiently with fuzzy logic based PID controllers over conventional PID controllers. (C) 2010 ISA. Published by Elsevier Ltd. All rights reserved.
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