Novel observer design of permanent magnet synchronous motor for electric vehicles

作者：Zhang, Yong-Bo; Yi, Bo-Yu; Kang, Long-Yun^*

来源：Journal of Jilin University (Engineering and Technology Edition), 2015, 45(5): 1527-1534.

DOI：10.13229/j.cnki.jdxbgxb201505022

• Arithmetic operations
• Automatic control technologies
• Co-ordinate transformation
• Operational matrices
• Permanent Magnet Synchronous Motor
• Rotor fluxes
• Sensorless algorithms
• Two-stage

The conventional sensorless algorithm for electric vehicle based on Extended Kalman Filter (EKF) can be influenced by the error of the rotor flux and shows considerable steady-state speed and position deviations. To take rotor flux as a variable in the EKF may increase the order of the operational matrix and the computation load of the real system. To solve this problem and still keep the advantage of the original algorithm, a novel Kalman control strategy using Nonlinear Two-stage EKF (NTSEKF) is proposed. The main idea is to decouple the Kalman filter into two parallel low order filters using coordinate transformation. In theory, the total number of multiplication and addition operations for EKF and NTSEKF is calculated respectively. Simulation and experimental results show that the novel strategy can reduce the number of arithmetic operations compared to EKF meanwhile still keep good identification performance.

• 出版日期2015-9-1
• 单位华南理工大学