Particle Swarm Optimization Tuned Sliding Mode Control of Switched Reluctance Motor for EV Application
No Thumbnail Available
Date
2022-01
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
Addis Ababa University
Abstract
In this thesis, a sliding mode speed controller along with the particle swarm optimization
algorithm and discrete commutation logic of switched reluctance motor is
presented. The switched reluctance motor has several interesting advantages. For
instance, the switched reluctance motor has high starting torque, a wide speed range,
heat-tolerant capability, and a simple braking mechanism, which make it attractive
for electric vehicles (EVs) traction applications. The switched reluctance motor has
high torque ripples which affect the performance of the motor, and it is a highly
nonlinear plant due to the doubly salient structure.
A performance comparison of conventional proportional integral speed controller
with sliding mode speed controller is presented for the 10/8 Switched Reluctance
Motors. A robust controller is advised for high-performance control of switched
reluctance motors. The effectiveness of the sliding mode controller for the SRM is
confirmed by simulation results. The proposed controller guarantees that the actual
motor speed tracks the reference speed slightly faster than the proportional-integral
controller. The speed difference between the actual and the reference for a PI speed
controller is 0.18% while for the SMC is 0.0002% which implies the PI has larger
steady state error. The robustness of the proposed controller to sudden disturbances
is also validated through simulation studies. The sliding mode speed controller parameters
are obtained with the help of the Particle Swarm Optimization (PSO)
algorithm while the PI speed controller gains are obtained using trial and error.
The performance of the loaded Switched Reluctance Motor (SRM) is tested and evaluated
with the help of simulation. The vehicle is modeled in MATLAB/SIMULINK
and developing the torque-speed characteristics that represent the vehicle load type.
The SRM reached its steady-state velocity of 570.74RPM in 13sec and also it took
4.5sec to stop the vehicle from running at a steady-state speed.
Description
Keywords
Switched Reluctance Motor, Electric vehicle, PSO, Sliding Mode Controller.