Energy-Based Adaptive Sliding Mode Speed Control for Switched Reluctance Motor Drive System

Torque ripple minimization of switched reluctance motor drives is a major subject based on these drives’ extensive use in the industry. in this paper, by using a well- known cascaded torque control structure and taking the machine physical structure characteristics into account, the proposed energy-based (passivity-based) adaptive sliding algorithm derived from the viewpoint of energy dissipation, control stability and algorithm robustness. first, a nonlinear dynamic model is developed and decomposed into separate slow and fast passive subsystems that are interconnected by negative feedbacks. then, an outer loop speed control is employed by adaptive sliding controller to determine the appropriate torque command. finally, to reduce torque ripple in switched reluctance motor a high-performance passivity-based current controller is proposed. it can overcome the inherent nonlinear characteristics. the performance of the proposed controller algorithm has been demonstrated in simulation, and experimental using a 4kw, four-phase, 8/6 pole srm dsp-based drive system.