Abstract
Switched Reluctance Motor (SRM) drive is being gradually used in industrial applications, including electric vehicles (EVs), due to several advantages over conventional motors. However, the nonlinear magnetic characteristics of the motor make its controller very complicated. This paper presents a simplified procedure to obtain the optimal switching angles under hysteresis current control SRM drive over a wide range of speeds. A multi-objective optimization technique is applied to determine the optimal switch on and switch off angles that achieve the optimum combination of maximum average torque with minimum torque ripple and copper loss. A searching algorithm is developed for each operating point to define the maximum average torque and the minimum torque ripple and copper losses, as they vary for different currents and motor speeds. Then the optimal values of switching angles are stored in the lookup tables to build a MATLAB model of the SRM drive system. Finally, simulation and experimental results are presented to show the validity and effectiveness of the proposed controller.
| Original language | English |
|---|---|
| Pages (from-to) | 394-403 |
| Number of pages | 10 |
| Journal | Periodica polytechnica Electrical engineering and computer science |
| Volume | 65 |
| Issue number | 4 |
| DOIs | |
| State | Published - 29 Oct 2021 |
| Externally published | Yes |
Bibliographical note
Publisher Copyright:© 2021 Budapest University of Technology and Economics. All rights reserved.
Keywords
- Electric vehicles
- Optimization
- Switch Reluctance Motor
- Switching angles
ASJC Scopus subject areas
- Software
- Signal Processing
- Information Systems
- Computer Science Applications
- Computer Networks and Communications
- Electrical and Electronic Engineering