基于smoo - eso的PWM整流器无电压传感器模型预测控制

Haocheng Wang, Yongjun Zhang, Xiong Xiao, Xiaowen Wang, Shuo Han
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引用次数: 0

摘要

在工业传动系统中常用的三相电压源PWM整流器中,直流母线电压的控制效果关系到系统的安全。为了避免直流电压传感器故障引起的外环反馈失真,提出了一种无电压传感器控制策略。首先提出了母线电压观测器与模型误差滚动优化相结合的思想。设计了一种无需母线电压传感器的模型预测功率控制方法。针对PWM整流器在特殊开关状态下,传统滑模观测器存在母线电压不可观测和估计精度差的问题,基于MPC设计了一种结合滑模观测器和扩展状态观测器的母线电压观测器。最后,通过设置自适应阈值,利用观测器在传感器故障的情况下实现系统的快速重构,从而保证整流器的正常运行。
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SMO-ESO-Based Voltage Sensorless Model Predictive Control for PWM Rectifier
In common usage of three phase voltage source PWM rectifier in industrial transmission system, the control effect of DC bus voltage is related to the safety of the system. This paper presents a voltage sensorless control strategy in order to avoid the outer loop feedback distortion caused by DC voltage sensor fault. The idea of combining bus voltage observer with model error rolling optimization is proposed firstly. And a model predictive power control (MPC) method without bus voltage sensor is designed in this paper. For the PWM rectifier, based on MPC, a bus voltage observer combining sliding mode observer (SMO) and extended state observer (ESO) is designed to cope with the problem that the bus voltage is unobservable and the estimation accuracy is poor in special switch state using traditional sliding mode observer. Finally, by setting an adaptive threshold, the observer is used to realize the rapid reconstruction of the system in the case of sensor fault, so as to ensure the normal operation of the rectifier.
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