China International Youth Conference on Electrical Engineering (CIYCEE 2020)

1358 / 2020-09-29 17:52:02

EKF for Three-Vector Model Predictive Current Control of PMSM

Extended Kalman filter (EKF), model predic- tive current control (MPCC), permanent magnet synchronous machines (PMSM), sensorless algorithm.

Electric Machine Design and Control > Electric machines

Permanent magnet synchronous machines (PMSM) are widely used due to their small size and good running performance. However, PMSM have the disadvantages of

multivariable and strong coupling, which make it difficult to design the regulator parameters. To solve this problem, this paper studies the use of three-vector model predictive current control (TV-MPCC) in PMSM. The traditional TV-MPCC uses speed sensors, which increases the cost and installation difficulty. The extended Kalman filter (EKF) algorithm which is applied for detecting rotor position and speed is proposed in this article. By comparing the traditional TV-MPCC algorithm with sensorless algorithm, the results indicate that there is no significant difference between sensorless algorithm and the traditional MPCC algorithm, sensorless algorithm has an analogous dynamic and steady-state performance.