Designing driving and control circuits of four-phase variable reluctance stepper motor using fuzzy logic control

Abstract

Precise positioning and repeatability of movement for stepper motors require designing a robust control system. To achieve that, an analytical model of a four-phase variable reluctance stepper motor is presented. A proposed open-loop driving circuit is designed to control the motion of a variable reluctance stepper motor. The driving circuit has an ability to drive the motor into two-step angles, i.e. a full step (15 • ) and a half step (7.5 • ). The direction of movement can be either into clockwise or counterclockwise direction. The operation of the variable reluctance stepper motor in an open-loop control circuit has demonstrated disadvantages of an oscillation and a relatively high settling time. Therefore, a closed-loop control circuit has been introduced using fuzzy logic control to overcome the oscillation problem and to obtain on a precise positioning within a reasonable settling time. The fuzzy logic control is used to improve and enhance the behaviour of the step position response based on oscillatory response and hence to reduce the overshoot significantly. The comparisons between the open-and closed-loop circuits are presented to demonstrate the disparity between both control circuits. The simulation results of the open-loop and the closed-loop circuits show that the time responses have been improved using different loads conditions. The simulation experiments are conducted and investigated using MATLAB-SIMULINK software package.

Actor–critic learning-based adaptive fuzzy controller for stepper motor

“…Simulation was performed using MATLAB/Simulink software for the following cases: (1) no-load condition, (2) abrupt load-torque changes, (3) system parameter uncertainty, (4) sudden phase interruption and (5) impact of noise. The performance of the proposed AC-TSKFC was compared with that of two benchmark controllers: (1) VRSM-FC proposed by Auday et al (2018) and (2) IHSM proposed by Yazdani et al (2018). In this study, a study of the performance indices, namely, the root means square error (RMSE) and the integral absolute error (IAE) has been made (Ganesh Babu et al, 2020).…”

“…For more detailed information about stepper motors (step angle, direction of rotation, etc. ), the reader can refer to Auday et al (2018). There were seven rules utilized in the fuzzy rule base, the Gaussian and Sigmoid functions were used for the linguistic variables Z, P, and N, respectively.…”

“…Effective arrangement of the inference rule and the MF was seen providing satisfactory results. Despite providing good result, it suffered due to oscillation and overshoot (Auday et al, 2018).…”

Chattering-Free Robust Adaptive Sliding Mode Speed Control for Switched Reluctance Motor

“…One biggest challenge in SRM drives is torque ripples. Therefore, compared with other methods like magnetic structure design to achieve minimized torque ripple performance, advanced control methods have been considered further, including model predictive control [2], fuzzy logic controller [3], internal model control [4], Lyapunov function-based robust controller [5], and H-infinity robust technique [6,7]. Moreover, applications of nonlinear robust adaptive algorithms for SRM control have been proposed in [8,9].…”