In the presented paper, a sensorless driver circuit is designed, constructed and tested to control two types of three-phase Switched Reluctance Motor (SRM). The presented control algorithm has three steps. In the first step, the SRM is controlled by an open-loop method. In the second step, mathematical model of the SRM phase, motor parameters and flux-current-rotor position relation are used in...

This paper presents a new approach to the sensorless control of the switched-reluctance motor (SRM). The basic premise of the method is that an Artificial Neural Network (ANN) forms a very efficient mapping structure for the nonlinear SRM. Through measurement of the phase flux linkages and phase currents the neural network is able to estimate the rotor position, thereby facilitating elimination...

Inductance profile has an important bearing on the performance of a Switched Reluctance Motor (SRM) This paper presents the results of a frequency respolse method to estimate the inductance profde of SRMs. Stator winding is energized by a variable voltage variable Frequency supply. An approximate equivalent circuit incorporating stator resistance, winding inductance and loss component has been ...

In the paper a switched reluctance rotary-linear motor is proposed. It is mechanically robust, simple to construct and easy to operate also in hostile working environment. The stator has a modular design compound of three correctly shifted usual 16 poles SRM stators. The rotor is constructed of several common 12 poles SRM rotor stacks. The motor is able to ensure both rotating and linear moveme...

One challenge to predict output performance characteristics of switched reluctance machines (SRM) is the accurate estimation of the minimum inductance of the stator phase at unaligned position of the rotor. In this paper, boundary element method (BEM) is used for this purpose while avoiding time-consuming numerical integrations. So, the method is investigated in terms of accuracy and computatio...

This paper presents a sliding mode observer for sensorless operation of SRM (switched reluctance motor) drive. Design of such an observer depends mainly on the nonlinear model of SRM. In this technique, neither extra hardware nor huge memory space arenot required but it only requires active phase measurements. Furthermore, PI (proportional integral) are suggested to operate individually along w...

This paper presents a sensorless control of switched reluctance motor (SRM) driven by the four phase asymmetric bridge inverter. In this method to obtain the rotor position of switched reluctance motor by means of resonant circuit method. The resonant circuit comprising of the motor and the power electronic converter, motor phase inductance and the parasitic capacitance of converter switches. F...

This paper describes the comparison of Artificial Intelligence (AI) based rotor position estimation techniques for Switched Reluctance Motor (SRM) with respect to its execution time in Digital Signal Processor (DSP) TMS320F2812. The various networks of Artificial Neural Network (ANN) and Adaptive Neuro Fuzzy Inference System ( ANFIS) structures are trained for mapping the nonlinear current-flux...

The flux and torque of switched reluctance motor (SRM) have a highly nonlinear functional relationship with rotor position and phase current, as a consequence of the double-salient structure of the stator and rotor pole and highly magnetic saturation, which is difficult to build an accurate analytic model. In order to achieve the SRM high-performance control, it is necessary to build an accurat...

A switched reluctance motor (SRM) drive generally requires a rotor position sensor for commutation and current control. However, the use of this position sensor increases both cost and size of the motor drive and causes limitations for industrial applications. In this paper, a novel indirect position sensing technique, namely, the sliding-mode observer, is proposed for SRM drives. The correspon...