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电力驱动中模型预测电流控制的扰动观测器研究

Investigation of Disturbance Observers for Model Predictive Current Control in Electric Drives

语言:

中文摘要

本文探讨了电力电子变换器模型预测控制(MPC)中的扰动与不确定性问题。由于MPC依赖数学模型预测系统行为,模型失配会显著影响控制性能。文章重点研究了扰动观测器在提升MPC鲁棒性方面的作用,旨在解决电机驱动及电力转换应用中因参数不确定性导致的控制精度下降问题。

English Abstract

Model predictive control (MPC) of power electronic converters has obtained much attention in many applications and especially in electric motor control. As the control loop is closed by predicting the future plant behavior by means of a mathematical model, disturbances and uncertainties are important aspects when using any MPC strategy. The plant model may be inaccurate due to plenty of reasons, s...
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SunView 深度解读

该研究对阳光电源的逆变器及电机驱动控制具有重要参考价值。在组串式及集中式光伏逆变器中,MPC因其动态响应快而备受关注,但易受电网阻抗变化及参数漂移影响。引入扰动观测器可显著提升系统在弱电网环境下的鲁棒性,减少对精确模型参数的依赖。此外,该技术可优化PowerTitan等储能变流器(PCS)在复杂工况下的电流控制精度,提升系统并网稳定性,建议研发团队将其应用于iSolarCloud智能运维平台的底层控制策略优化中,以增强设备在极端工况下的自适应能力。