A controller based on Optimal Type-2 Fuzzy Logic: Systematic design, optimization and real-time implementation

Fayek, H.M. and Elamvazuthi, I. and Perumal, N. and Venkatesh, B. (2014) A controller based on Optimal Type-2 Fuzzy Logic: Systematic design, optimization and real-time implementation. ISA Transactions, 53 (5). pp. 1583-1591.

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A computationally-efficient systematic procedure to design an Optimal Type-2 Fuzzy Logic Controller (OT2FLC) is proposed. The main scheme is to optimize the gains of the controller using Particle Swarm Optimization (PSO), then optimize only two parameters per type-2 membership function using Genetic Algorithm (GA). The proposed OT2FLC was implemented in real-time to control the position of a DC servomotor, which is part of a robotic arm. The performance judgments were carried out based on the Integral Absolute Error (IAE), as well as the computational cost. Various type-2 defuzzification methods were investigated in real-time. A comparative analysis with an Optimal Type-1 Fuzzy Logic Controller (OT1FLC) and a PI controller, demonstrated OT2FLCs superiority; which is evident in handling uncertainty and imprecision induced in the system by means of noise and disturbances. © 2014 ISA. Published by Elsevier Ltd. All rights reserved.

Item Type: Article
Impact Factor: cited By 28
Uncontrolled Keywords: Computer circuits; Controllers; DC motors; Design; Genetic algorithms; Intelligent control; Intelligent robots; Membership functions; Optimization; Particle swarm optimization (PSO); Real time control; Robotic arms; Robotics; Traffic signals; Uncertainty analysis, Computationally efficient; Defuzzification method; Fuzzy logic control; Fuzzy logic controllers; Integral absolute errors; Real-time implementations; Type-2 fuzzy logic; Type-2 fuzzy logic controllers, Fuzzy logic
Depositing User: Ms Sharifah Fahimah Saiyed Yeop
Date Deposited: 25 Mar 2022 09:01
Last Modified: 25 Mar 2022 09:01
URI: http://scholars.utp.edu.my/id/eprint/31142

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