作者: H.M. Fayek , I. Elamvazuthi , N. Perumal , B. Venkatesh
DOI: 10.1016/J.ISATRA.2014.06.001
关键词:
摘要: A computationally-efficient systematic procedure to design an Optimal Type-2 Fuzzy Logic Controller (OT2FLC) is proposed. The main scheme optimize the gains of controller using Particle Swarm Optimization (PSO), then only two parameters per type-2 membership function Genetic Algorithm (GA). proposed OT2FLC was implemented in real-time control position a DC servomotor, which part robotic arm. performance judgments were carried out based on Integral Absolute Error (IAE), as well computational cost. Various defuzzification methods investigated real-time. comparative analysis with Type-1 (OT1FLC) and PI controller, demonstrated OT2FLC׳s superiority; evident handling uncertainty imprecision induced system by means noise disturbances.