Switched Reluctance (SR) motors have a wide range of applications in industries, mainly due to the special properties of this motor. But, because of its dynamical nonlinearities, its control is complex. This paper presents an adaptive intelligent control based on the Lyapunov stability theory to control the speed of SR motors with good accuracies and performances. The proposed controller compos...

Phase windings of switched reluctance machines are modeled by a nonlinear inductance and a resistance that can be estimated from standstill test data. During online operation, the model structures and parameters of SRM’s may differ from the standstill ones because of saturation and losses, especially at high current. To model this effect, a damper winding is added into the model structure. This...

A field modelling approach is presented exploiting approximate magnetic flux distributions. The method is an extension of flux-tubes and tubes-and-slices techniques. A combination of an equivalent magnetic circuit approach with improved description of relevant flux paths allows for a computationally efficient algorithm suitable for design optimization. The method is illustrated using an example...

Switched Reluctance (SR) Motor Drive is of great topical interest. It has the potential lo emerge as a viable option for variable speed applications. Though simple in construction, the motor is quite rugged, and has many attractive /eatures like high torque-to-inertia ratio, fault tolerance, and high eficiency. A number of converter topologies are prescribed for driving the motor. However, its ...

In this paper, a passivity-based control (PBC) algorithm with disturbance estimation is proposed to obtain precise position control of a Linear Switched Reluctance Motor (LSRM) driving system. Following the modeling analysis of the driving system, a full-order controlled model is first developed. On the basis of the state error equation, the proposed robust PBC algorithm is derived from the vie...