Numerical simulation for Fuzzy-PID controllers and helping EP reproduction with PSO hybrid algorithm

Many Fuzzy-PID controller schemes used in industry today are based on some sort of simplified fuzzy reasoning methods and PID parameters. We present a design for Fuzzy-PID controllers using a novel PSO-EP-based hybrid algorithm. We succeed in making mathematical calculations and in encouraging EP re...

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Bibliographic Details
Published in:Simulation modelling practice and theory 2009-11, Vol.17 (10), p.1555-1565
Main Authors: Chiou, Juing-Shian, Liu, Ming-Tang
Format: Article
Language:English
Subjects:
Algorithms
Computer simulation
Controllers
Design engineering
Evolutionary Programming (EP)
Fuzzy Logic Controllers (FLC)
Genetic Algorithm (GA)
Integral of Absolute Error (IAE)
Mathematical models
Membership functions
Particle Swarm Optimization (PSO)
Polysulfone resins
Proportional-Integral-Derivative (PID)
Reproduction
Strategy
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Summary:Many Fuzzy-PID controller schemes used in industry today are based on some sort of simplified fuzzy reasoning methods and PID parameters. We present a design for Fuzzy-PID controllers using a novel PSO-EP-based hybrid algorithm. We succeed in making mathematical calculations and in encouraging EP reproduction with PSO. The main advantage of our design is that the integration of the PSO-EP-based hybrid algorithm structure generates new parameters for the Fuzzy-PID control schemes. The proposed algorithm is an improved variant of PSO, a relatively recently introduced stochastic optimization strategy for Fuzzy-PID controllers that is investigated in this study. The function of Fuzzy-PID controllers is illustrated by means of a model of the induction motor control system and a higher-order numerical model.
ISSN:1569-190X
1878-1462
DOI:10.1016/j.simpat.2009.05.006