In this article, the three-phase asynchronous motor is taken as the research object, and the deadbeat predictive control is the control core, and its control performance is studied. Considering the overshoot of flux linkage and speed response in deadbeat predictive control, an improved deadbeat predictive control algorithm based on synergy theory is proposed. Different from deadbeat predictive control, improved deadbeat predictive control can control the flux linkage and speed independently through two adjustment parameters, which are achieved through the manifold of synergy theory. To accurately obtain the feedback flux linkage and load torque in the control, a flux observer and a load torque observer are designed. Based on these, a simulation platform is built, and the control performance of the two control algorithms is compared. The robustness of the two control algorithms is further verified by changing parameters. Finally, the experimental platform of three-phase asynchronous motor is built in this article. The experimental program based on deadbeat predictive control is designed. The no-load experiment and loading experiment are carried out, respectively. The feasibility of the algorithm is verified by experimental data.

中文翻译：

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基于改进无差拍预测算法的异步电机调速控制

本文以三相异步电动机为研究对象，以无差拍预测控制为控制核心，对其控制性能进行研究。针对无差拍预测控制中磁链和速度响应的超调问题，提出了一种基于协同理论的改进的无差拍预测控制算法。与无差拍预测控制不同，改进的无差拍预测控制可以通过两个调节参数独立控制磁链和速度，这是通过协同理论的流形实现的。为了准确获得控制中的反馈磁链和负载转矩，设计了磁链观测器和负载转矩观测器。在此基础上搭建了仿真平台，比较了两种控制算法的控制性能。通过改变参数进一步验证了两种控制算法的鲁棒性。最后，本文搭建了三相异步电动机实验平台。设计了基于无差拍预测控制的实验程序。分别进行空载实验和加载实验。通过实验数据验证了算法的可行性。