Backstepping Sliding Mode Controller for Switched Reluctance Motor with Combined Nonlinear Model

Sliding Controller of Switched Reluctance Motor

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

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 view point of energy dissipati...

Backstepping sliding mode controller coupled to adaptive sliding mode observer for interconnected fractional nonlinear system

Abstract: Performance control law is studied for an interconnected fractional nonlinear system. Applying a backstepping algorithm, a backstepping sliding mode controller (BSMC) is developed for fractional nonlinear system. To improve control law performance, BSMC is coupled to an adaptive sliding mode observer have a filtered error as a sliding surface. The both architecture performance is stud...

A NEW METHOD TO REDUCE TORQUE RIPPLE IN SWITCHED RELUCTANCE MOTOR USING FUZZY SLIDING MODE

This paper presents a new control structure to reduce torque ripple in switched reluctance motor. Although SRM possesses many advantages in motor structure, it suers from large torque ripple that causes some problems such as vibration and acoustic noise. In this paper another control loop is added and torque ripple is de ned as an objective function. By using fuzzy sliding mode strategy, the DC...

Optimum sliding mode controller design based on skyhook model for nonlinear vehicle vibration model

In this paper a new type of multi-objective differential evolution employing dynamically tunable mutation factor is used to optimally design non-linear vehicle model. In this way, non-dominated sorting algorithm with crowding distance criterion are combined to fuziified mutation differential evolution to construct multi-objective algorithm to solve the problem. In order to achieve fuzzified mut...