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Observer-Based Predictive Vector-Resonant Current Control of Permanent Magnet Synchronous Machines

机译:基于观测器的永磁同步电机预测矢量谐振电流控制

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摘要

In this paper, an observer-based predictive vector-resonant current control strategy for permanent magnet synchronous machines is proposed, which can effectively improve system performance in case of disturbances caused by converter dead-time effect and model mismatch. Taking the external periodic, nonperiodic disturbances, and system delay into consideration, the system model in discrete-time domain is built. This model is then embedded with vector-resonant scheme with the aim of suppressing periodic disturbances resulting from converter dead-time effect and rotor flux harmonics. An extended-state observer is constructed in order to predict system behavior and to estimate the nonperiodic disturbances caused by parameter variations. The overall control law is then derived on basis of cost function minimization. With the proposed method adopted, the undesired anomalous peak around the resonant frequency in the frequency responses can be avoided. Moreover, enhanced transient performances and wider stability margin can also be obtained. The effectiveness and advantages of the proposed strategy are verified by frequency-domain analysis and comparative experimental studies.
机译:本文提出了一种基于观测器的永磁同步电机预测矢量谐振电流控制策略,该方法可以有效地提高由于变频器死区时间效应和模型不匹配引起的系统性能。考虑到外部周期性,非周期性扰动和系统延迟,建立了离散时域系统模型。然后以矢量谐振方案嵌入该模型,以抑制由转换器死区时间效应和转子磁通谐波引起的周期性干扰。构造了扩展状态的观察器,以预测系统行为并估计由参数变化引起的非周期性干扰。然后基于成本函数最小化得出总体控制律。采用所提出的方法,可以避免频率响应中谐振频率周围不希望的异常峰值。此外,还可以获得增强的瞬态性能和更宽的稳定性裕度。通过频域分析和对比实验研究,验证了所提策略的有效性和优势。

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