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Robust Predictive Torque Control of Permanent Magnet Synchronous Machine Using Discrete Hybrid Prediction Model
IEEE Transactions on Energy Conversion ( IF 4.9 ) Pub Date : 2020-12-01 , DOI: 10.1109/tec.2020.3006225
Liming Yan , Fengxiang Wang , Peng Tao , Kunkun Zuo

In the prediction stage of finite control set-predictive torque control for permanent magnet synchronous machine (PMSM), the mismatched parameters will inevitably bring about the predictive errors, which will cause the wrong selection of voltage vector in the optimization stage, and even affect the stability of the entire control system. In order to eliminate the prediction errors, a discrete hybrid prediction model-based predictive torque control (DHPM-PTC) of PMSM is proposed to improve robustness. In the stator current prediction model, the traditional open-loop prediction model is abandoned, and the closed-loop model prediction equation is established. In the stator flux prediction model, this article gets rid of the traditional open-loop integral prediction model, and establishes the closed-loop flux prediction model integrating the current model and the voltage model. Secondly, the stability and parameter design principles of the closed-loop current prediction model and the closed-loop flux prediction model are discussed. Finally, the verification of the proposed algorithm is made on a PMSM test platform. The test results indicate that the proposed DHPM-PTC is superior to the traditional predictive torque control (T-PTC) in dynamic, steady and robust performances.

中文翻译:

基于离散混合预测模型的永磁同步电机鲁棒转矩预测控制

在永磁同步电机(PMSM)有限控制设定-预测转矩控制的预测阶段,参数的不匹配必然会带来预测误差,从而导致优化阶段电压矢量选择错误,甚至影响整个控制系统的稳定性。为了消除预测误差,提出了一种基于离散混合预测模型的 PMSM 预测转矩控制(DHPM-PTC)来提高鲁棒性。在定子电流预测模型中,摒弃了传统的开环预测模型,建立了闭环模型预测方程。在定子磁链预测模型中,本文摆脱了传统的开环积分预测模型,并建立了电流模型和电压模型相结合的闭环磁通预测模型。其次,讨论了闭环电流预测模型和闭环磁通预测模型的稳定性和参数设计原则。最后,在永磁同步电机测试平台上对所提出的算法进行了验证。测试结果表明,所提出的 DHPM-PTC 在动态、稳定和鲁棒性能方面优于传统的预测扭矩控制 (T-PTC)。
更新日期:2020-12-01
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