A Novel Control Strategy Based on Fuzzy Logic for Switched Reluctance Machine in Battery Charging Mode

Superiority of Switched Reluctance Machine (SRM) in many aspects has been proven for years and recently because of its simple construction, low cost, ruggedness and high torque/mass ratio becomes one of the favorable machines in applications like hybrid vehicles and wind turbine generators. Despite all mentioned advantages because of its non-linear nature, control of Switched Reluctance Generator (SRG) challenged researchers and became a barrier in their way. In this paper a novel control strategy for Switched Reluctance Machine (SRM) in battery charging application based on Fuzzy Logic (FL) has been presented. Proposed control system do not contain any look-up tables and just by using FL controllers and conventional PI, desirable control has been achieved. In battery charging operations the quality of DC link current is very crucial and should has low ripple, in this case FL control loops provide smooth DC current with fast dynamic response. By combination of two FL controllers with a PI control loop, to some extent practicality of control method has been increased. Simulation results of a 4-pole, 4000W SRM which is coupled with prime mover and operate under battery charging mode verifies effectiveness of Recommended control strategy.

Keywords:

Switched Reluctance , Fuzzy Logic , Battery charging , Converter Control , Non-linear control