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Erschienen in:
2010 | OriginalPaper | Buchkapitel
A High Performance Direct Torque Control of PMBLDC Motor Using Hybrid (GA Based Fuzzy Logic) Controller
verfasst von : E. Kaliappan, C. Sharmeela, A. V. Sayee Krishna
Erschienen in: Power Electronics and Instrumentation Engineering
Verlag: Springer Berlin Heidelberg
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This paper deals with the direct torque control of PMBLDC motor using hybrid (Genetic algorithm based fuzzy logic) controller to improve the performance of the control scheme. Though the conventional controllers are commonly used in practice, they have failed to perform satisfactorily under non linear conditions and parameter variations. In the proposed work, a hybrid controller (using genetic algorithm based fuzzy logic controller) is introduced to control the torque and the flux linkage angle of the PMBLDC motor. Torque error and flux linkage angle of the PMBLDC motor is fuzzified and it is auto tuned by GA to improve the dynamic characteristic. Simulation results of the conventional fuzzy logic controller are compared with the hybrid (GA based fuzzy logic) controller and the later is found to be satisfactory with improved performance.