scholarly journals A Novel Technique for Tuning PI -controller In Switched Reluctance Motor Drive for Transportation Systems

2018 ◽  
Vol 8 (6) ◽  
pp. 4272
Author(s):  
Mohamed Yaich ◽  
Moez Ghariani
Keyword(s):  
Switched Reluctance Motor ◽  
Pi Controller ◽  
Transportation Systems ◽  
Motor Drive ◽  
Nonlinear Characteristics ◽  
Switched Reluctance ◽  
Speed Controller ◽  
Current Controller ◽  
Reluctance Motor ◽  
The Time Domain

<p>This paper presents, an optimal basic speed controller for switched reluctance motor (SRM) based on ant colony optimization (ACO) with the presence of good accuracies and performances. The control mechanism consists of proportional-integral (PI) speed controller in the outer loop and hysteresis current controller in the inner loop for the three phases, 6/4 switched reluctance motor. Because of nonlinear characteristics of a SRM, ACO algorithm is employed to tune coefficients of PI speed controller by minimizing the time domain objective function. Simulations of ACO based control of SRM are carried out using MATLAB /SIMULINK software. The behavior of the proposed ACO has been estimated with the classical Ziegler- Nichols (ZN) method in order to prove the proposed approach is able to improve the parameters of PI chosen by ZN method. Simulations results confirm the better behavior of the optimized PI controller based on ACO compared with optimized PI controller based on classical Ziegler-Nichols method.</p>

scholarly journals Dual Sliding Mode with PI Controller Based Switched Reluctance Motor Drive

2019 ◽  
Vol 8 (11S) ◽  
pp. 197-202
Keyword(s):  
Closed Loop ◽  
Sliding Mode ◽  
Switched Reluctance Motor ◽  
Pi Controller ◽  
Motor Drive ◽  
Switched Reluctance ◽  
Three Phase ◽  
Reluctance Motor ◽  
Drive Circuit ◽  
Error Generation

In this paper, a Dual Sliding Mode with Proportional Integral (DSM-PI) controlled Switched Reluctance Motor drive circuit is proposed with closed loop speed control. An asymmetric half bridge converter is used to drive SRM which is fed by a front-end circuit. The dual sliding mode PI controller is utilized for better time response. With variable proportional and integral gains in DSM-PI controller the error generation value is altered with faster values making the speed of the motor to settle faster with reduced ripple and disturbances. The topology is modelled in MATLAB/Simulink environment and the simulation results on a three-phase 6/4 SRM are presented.

Artificial Intelligent Controller-Based Speed Control of Switched Reluctance Motor

2021 ◽  
Vol 11 (3) ◽  
pp. 1-13
Author(s):  
Pushparajesh V. ◽  
Narayana Swamy Ramaiah
Keyword(s):  
Fuzzy Logic Controller ◽  
Fuzzy Controller ◽  
Speed Control ◽  
Switched Reluctance Motor ◽  
Switched Reluctance ◽  
Intelligent Controller ◽  
Speed Controller ◽  
Current Controller ◽  
Reluctance Motor ◽  
Control Methodology

A new control methodology for controlling the speed of switched reluctance motor (SRM) drive using an intelligent controller is proposed in this paper. The control technology consists of an outer loop fuzzy controller as a speed controller and hysteresis current controller as the inner control loop along with control of switching angles for the four-phase, 8/6 SRM. In this proposed method, the speed control is optimized using the randomly determined fuzzy parameters. Fuzzy interfaced speed control of SRM is simulated using MATLAB/SIMULINK software. The robust performance of the fuzzy logic controller is valued using the least combinations (matrix) of rules for wide ranges of speed and is compared with the proportional-integral (PI) controller. Simulation results reveal that fuzzy-based speed controller gives enhanced performance in the form of quick speed response varies between 0.02sec to 0.12 sec over an extensive range of speed thereby improving the dynamic efficiency of the SRM drive.

Sign in / Sign up

Export Citation Format

Share Document