Sliding Mode Genetic Speed Control of Synchronous Reluctance Motor

This paper implements an optimal speed control system of synchronous reluctance motor using sliding mode with genetic algorithm. The mathematical model of synchronous reluctance motor includes core loss to improve the performance in the current control. The sliding mode speed control is used to avoid the load perturbations and parameter variation. The genetic algorithm is used to search the uncertain parameters effort under the occurrence of uncertainties in the control procedure. The control system can be stable and optimize the torque and speed when the uncertain parameters are unknown/bounded. Finally, the simulation results is demonstrated the effectiveness of the proposed scheme.