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

• Published in: Simulation modelling practice and theory Vol. 17; no. 10; pp. 1555 - 1565
• Main Authors: Chiou, Juing-Shian, Liu, Ming-Tang
• Format: Journal Article
• Language: English
• Published: Elsevier B.V 01.11.2009
• 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; Membership functions; Fuzzy Logic Controllers (FLC); Particle Swarm Optimization (PSO); Evolutionary Programming (EP); Proportional-Integral-Derivative (PID); Genetic Algorithm (GA); Integral of Absolute Error (IAE)
• ISSN: 1569-190X; 1878-1462
• DOI: 10.1016/j.simpat.2009.05.006

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.