Abstract
Analytical modeling and evaluation of field-oriented control for a high-power density three-phase doubly-salient special machine are presented in this paper. The special machine contains 12 modular concentrated coils and 12 PMs in the stator and 10 pole protrusions in the rotor. The machine has been designed to operate at a rated torque of 42Nm at a base speed of 5000rpm. A generalized dynamic torque equation and an analytical model for the proposed special machine are established. The dynamic model has been used to realize an equivalent circuit by applying the synchronous reference frame theory. A high-fidelity plant model of the special machine has been developed using FEA software, and the machine characteristics have been imported into motor drive simulation software for speed control analysis. A field-oriented control technique for the special machine in synchronous reference frame has been implemented to regulate the speed over a wide range in both constant torque and field weakening regimes for electric vehicle traction applications. Stability analysis for the controller has been presented and verified by simulations in continuous domain.
Original language | English |
---|---|
Title of host publication | 2022 IEEE Vehicle Power and Propulsion Conference, VPPC 2022 - Proceedings |
ISBN (Electronic) | 9781665475877 |
DOIs | |
State | Published - 2022 |
Event | 2022 IEEE Vehicle Power and Propulsion Conference, VPPC 2022 - Merced, United States Duration: Nov 1 2022 → Nov 4 2022 |
Publication series
Name | 2022 IEEE Vehicle Power and Propulsion Conference, VPPC 2022 - Proceedings |
---|
Conference
Conference | 2022 IEEE Vehicle Power and Propulsion Conference, VPPC 2022 |
---|---|
Country/Territory | United States |
City | Merced |
Period | 11/1/22 → 11/4/22 |
Bibliographical note
Publisher Copyright:© 2022 IEEE.
Keywords
- PMSM
- flux switching machine
- motor control
- stability analysis
- traction motor
ASJC Scopus subject areas
- Artificial Intelligence
- Energy Engineering and Power Technology
- Aerospace Engineering
- Automotive Engineering
- Electrical and Electronic Engineering
- Mechanical Engineering
- Control and Optimization
- Modeling and Simulation