| This Paper:Browse 1823 Download 1172 |
码上扫一扫！ |
| MPC-based torque control of permanent magnet synchronous motor for electric vehicles via switching optimization |
| B.Ren,H.Chen,H.Zhao,W.Xu |
|
|
| (State Key Laboratory of Automotive Simulation and Control, Jilin University, Changchun Jilin 130025, China) |
|
| 摘要: |
|
| 关键词: |
| DOI： |
|
| 基金项目:This work was supported by the NSFC Projects of International Cooperation and Exchanges (No. 61520106008), the National Natural Science Foundation of China (Nos. 61503149, U1564207) and the Graduate Innovation Fund of Jilin University (No. 2017093). |
|
| MPC-based torque control of permanent magnet synchronous motor for electric vehicles via switching optimization |
| B. Ren,H. Chen,H. Zhao,W. Xu |
| (State Key Laboratory of Automotive Simulation and Control, Jilin University, Changchun Jilin 130025, China;Department of Control Science and Engineering, Jilin University, Changchun Jilin 130025, China) |
| Abstract: |
| In order to effectively achieve torque demand in electric vehicles (EVs), this paper presents a torque control strategy based on model predictive control (MPC) for permanent magnet synchronous motor (PMSM) driven by a two-level three-phase inverter. A centralized control strategy is established in the MPC framework to track the torque
demand and reduce energy loss, by directly optimizing the switch states of inverter. To fast determine the optimal control sequence in predictive process, a searching tree is built to look for optimal inputs by dynamic programming (DP) algorithm on the basis of the principle of optimality. Then we design a pruning method to check the candidate inputs that can enter the next predictive loop in order to decrease the computational burden of evaluation of input sequences. Finally, the simulation results on different conditions indicate that the proposed strategy can achieve a tradeoff between control performance and computational efficiency. |
| Key words: Permanent magnet synchronous motor, electric vehicle, torque optimal control, model predictive control |
