摘要
提出了一种基于Kautz模型的自适应增量式模型预测控制算法,并将该算法应用到基于DSP TMS280F2812的永磁同步电动机数字控制平台上,实现了对永磁同步电动机电流的数字控制。根据数字控制平台的局限性,作者对该算法进行了优化。大量实验证明,提出的模型预测控制算法可以使永磁同步电动机电流控制系统具有较快的响应速度,较为平稳的运行状态,较强的鲁棒性,在电机控制领域具有较高的工程应用价值。
An adaptive incremental model predictive control algorithm based on Kautz model was proposed. And the algorithm was applied to the digital control platform of permanent magnet synchronous motor based on TMS280F2812 DSP,and the digital control of permanent magnet synchronous motor current was realized. According to the limitation of the digital control platform,the optimization to the algorithm was carried on. After a large number of experimental studies show that the model prediction control algorithm proposed in this paper can make the permanent magnet synchronous motor current control system has fast response speed,stable running,strong robustness,and has higher engineering application value.
出处
《微特电机》
北大核心
2016年第9期78-82,共5页
Small & Special Electrical Machines
基金
国家自然科学基金面上项目(11372198)
河北省教育厅科学技术重点项目(Z9900451)
