An advanced robust method for speed control of switched reluctance motor

Abstract

This paper presents an advanced robust controller for the speed system of a switched reluctance motor (SRM) in the presence of nonlinearities, speed ripple, and external disturbances. It proposes that the adaptive fuzzy control is applied to regulate the motor speed in the outer loop, and the detector is used to obtain rotor detection in the inner loop. The new fuzzy logic tuning rules are achieved from the experience of the operator and the knowledge of the specialist. The fuzzy parameters are automatically adjusted online according to the error and its change of speed in the transient period. The designed detector can obtain the rotor's position accurately in each phase module. Furthermore, a series of contrastive simulations are completed between the proposed controller and proportion integration differentiation controller including low speed, medium speed, and high speed. Simulations show that the proposed robust controller enables the system reduced by at least 3% in overshoot, 6% in rise time, and 20% in setting time, respectively, and especially under external disturbances. Moreover, an actual SRM control system is constructed at 220 V 370 W. The experiment results further prove that the proposed robust controller has excellent dynamic performance and strong robustness.

Switched Reluctance Motor Drive Challenges - A review

“…The obtained model demonstrated high accuracy and fidelity, as evidenced by similar results. (Zhang, Chao, et al,2018) [43] presented an advanced robust controller for the speed regulation system of an SRM in the existence of nonlinearities and external turbulences. The proposed controller uses adaptive fuzzy control to control the inner loop motor shaft speed and a detector to acquire rotor detection in the inner loop.…”

“…The summary of SRM drive challenges for the converter topology field in the selected published articles is presented in Table (3). Research scope in controller design is challenging for the SRM drive system [28,30,31,35,36,41,42,43,44,45,48,50,51,52]. Hence, a significant opportunity exists for research and development in the domain of controller design for the SRM drive system.…”

Fuzzy Controller Based DTC of SRM Drive Fed by Common High Side Asymmetric Switch Converter

“…Similarly, another particle swarm optimization based optimal PID controller has been proposed that achieved a minimum integral quadratic error of the speed by tuning the parameters [25]. Also, the torque and speed profile enhancement of a 6/4 SRM has been done by using ant lion optimization in a fractional order PID controller [26]. In [27], the performance of the speed and torque has been improved by using an optimal design for the parameters of the SRM.…”