摘要
综合模型算法控制（ ＭＡＣ） 在线实时预测、优化、反馈校正的优点，提出一种用于永磁同步电动机（ＰＭＳＭ） 传动系统的ＭＡＣ方案。采用ＰＭＳＭ 的二阶ＡＲＭＡ 模型为预测控制的参数模型，并在此基础上进行优化、校正，算法简单，能很好地满足动态较快的电动机实时性要求。对系统的稳定性和鲁棒性进行了分析、论证，表明无论模型如何失配，系统均稳定、无输出静差，鲁棒性强。仿真和实验结果进一步证明永磁同步电动机模型算法控制（ＰＭＳＭＭＡＣ） 具有优良的动态、静态特性。
Synthesizing the advantages of model algorithmic control(MAC) in prediction, optimization and feedback on line real time, a MAC scheme for permanent magnet synchronous motor(PMSM) drive system is proposed. The second order ARMA model of PMSM is used as parameter model in predictive control,and optimization and feedback tuning. The algorithm is simple,on line real time it can control motor which dynamics is very fast. By analyzing system's robustness, find that the system can be guaranteed the robustness in any case, and output isn't static error. Simulation and experimental results verify the proposed control scheme, and show that system is of the best dynamics and static characteristics..
出处
《中国电机工程学报》
EI
CSCD
北大核心
1999年第10期27-31,49,共6页
Proceedings of the CSEE
基金
浙江省自然科学基金(595051)
香港蒋氏工业基金(RC95102)
关键词
永磁同步电动机
传动系统
预测控制
数学模型
permanent magnet synchronous motor
predictive control
robustness analysis
