A Novel Control Approach for Switched Reluctance Motors Based on Fuzzy Logic and Particle Swarm Optimization Techniques
نویسندگان
چکیده
A novel control approach to design efficient speed controllers for Switched Reluctance Motor (SRM) drives based on fuzzy logic (FL) and Particle Swarm Optimization (PSO) techniques is investigated in this study. The PSO mechanism with the simple implementation and high efficiency is adopted to optimize five parameters, including three scaling factors of a PI-like FL architecture and two switching factors of an asymmetrical DC-DC voltage converter. Resulting from this optimization process, an adaptive FL control strategy for the SRM drive can be fulfilled to obtain the highly promising control performances. Various numerical simulations are also performed for the demonstration purpose.
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