中国电机工程学报2023，Vol.43Issue(23)：9319-9329,11.DOI:10.13334/j.0258-8013.pcsee.221773
具有参数辨识功能的永磁同步电机双矢量模型预测电流控制
A Two-vector-based Model Predictive Current Control With Online Parameter Identification for PMSM Drives
姚绪梁 1黄乘齐 1王景芳 1马赫 1刘铜振 1张国望1
作者信息
- 1. 哈尔滨工程大学智能科学与工程学院,黑龙江省哈尔滨市 150001
- 折叠
摘要
Abstract
Traditional finite control set model predictive current control(MPCC)for permanent magnet synchronous motor drives suffers from high current ripple and the system parameter dependence problem.To address these issues,a two-vector-based MPCC with online parameter identification is proposed.First,to eliminate the computational burden caused by the diversified combination of voltage vectors,according to the real-time control performance of increasing or decreasing the q-axis current,a two-vector combination principle that constrains the optional range of the first and second voltage vectors is designed.Subsequently,to reduce the current ripple in the whole control cycle,a cost function which contains the current tracking error term at the switching point of the two vector is designed.The cost function is used to evaluate candidate vector combinations and select the optimal one.Besides,to improve the parameter robustness of the system,a cascade model reference adaptive system-based multi-parameter identification method is proposed.Based on establishing the d-and q-axis incremental current state equation and integrating with q-axis current state equation,the full rank state equation can be obtained,thus the identification of the stator resistance,inductance and flux can be realized.Finally,the effectiveness of the proposed strategy is verified by experiments.关键词
永磁同步电机/预测控制/双矢量/多参数辨识/模型参考自适应Key words
permanent magnet synchronous motor(PMSM)/model predictive control/two-vector/multi-parameter identification/model reference adaptive system分类
信息技术与安全科学引用本文复制引用
姚绪梁,黄乘齐,王景芳,马赫,刘铜振,张国望..具有参数辨识功能的永磁同步电机双矢量模型预测电流控制[J].中国电机工程学报,2023,43(23):9319-9329,11.
