2019
DOI: 10.11591/ijpeds.v10.i1.pp117-127
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Performance evaluation of a hybrid fuzzy logic controller based on genetic algorithm for three phase induction motor drive

Abstract: <p class="Author"><span>It is known that controlling the speed of a three phase Induction Motor (IM) under different operating conditions is an important task and this can be accomplished through the process of controlling the applied voltage on its stator circuit. Conventional Proportional- Integral- Differeantional (PID) controller takes long time in selecting the error signal gain values. In this paper a hybrid Fuzzy Logic Controller (FLC) with Genetic Algorithm (GA) is proposed to reduce the se… Show more

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Cited by 18 publications
(18 citation statements)
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“…Fuzzy logic is suitable for uncertain systems, that systems mathematical model is difficult for deriving [15,21]. In this study, "Takagi-Sugeno (TS)" is selected.…”
Section: Controller Designmentioning
confidence: 99%
“…Fuzzy logic is suitable for uncertain systems, that systems mathematical model is difficult for deriving [15,21]. In this study, "Takagi-Sugeno (TS)" is selected.…”
Section: Controller Designmentioning
confidence: 99%
“…This system is feeding a 1.5 KW induction oil pump load as in Figure 1. The used SEIG's parameters was exactly measured by testing the induction generator when using it as a motor [17][18][19].…”
Section: Proposed Systemmentioning
confidence: 99%
“…ω is an inertia mass which is limited between [-Vmax, Vmax] and determines the impact of velocity memory and is servicing on global or local search [11,[20][21][22]. It is also suggested to restrict the velocity to a specified range [-Vmax, Vmax] [10,11,[20][21][22]. Several forms of PSO, as well as swarm techniques, were introduced, with a continuous upgrading.…”
Section: Design Algorithms 31 Particle Swarm Optimization (Pso)mentioning
confidence: 99%