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Modeling, Dynamic Simulation and Control of a Four-phase Switched Reluctance Motor

The applications of switched reluctance motors (SRM) have being increased day by day, but it is a multivariable, strong-coupling and highly nonlinear system, there are lots of difficulties to model and control. This paper proposes a non-linear model and a small-signal model to a four-phase 8/6 pole SRM according to the non-linear and quasi-linear inductance models of it. On the basis of the non-linear model, the current chopping control strategy (CCC) and the angle position control strategy (APC) are simulated, the simulation results including the waveforms of inductance, phase current, phase torque and total torque really report the work status of the motor and validate the applicability of the non-linear model. On the basis of the small-signal model, the fuzzy PID compound control method is simulated and a real-world experiment is conducted, the simulation and experiment results indicate that the proposed controller not only can improve the dynamic and static performances of the system, but also has better robustness.