摘要
对参数敏感是模型预测控制主要缺点之一。无模型预测控制使用超局部模型代替常规逆变器模型,避免了系统参数对模型的影响,具有较高参数鲁棒性,但是需要使用大量历史电压电流采样数据,导致动态特性较慢。本文提出一种基于超局部模型和滑模观测器的无模型预测控制方法,提升系统参数鲁棒性的同时,保持了良好的动态性能。首先分析参数变化对常规模型预测控制的影响,在无模型预测控制基础上提出一种基于滑模观测器的集总扰动观测方法,并详细研究了滑模观测器的稳定性分析方法和离散化方法。实验结果对比表明,本文所提方法可将稳态电流THD由10.44%降到8.75%,且动态响应时间可由1.094 ms减小至0.754 ms。
Parameter sensitivity is one of the main disadvantages of model predictive control(MPC).Model-free predictive control(MFPC)avoids the influence of system parameters by using ultra-local model to replace the conventional inverter model,so it has high parameter robustness;However,this method has to use a large number of sampled historical voltage and current data,which lead to a slower dynamic performance.A MFPC method based on ultra-local model and sliding mode observer(SMO)is proposed in this paper.The proposed method can improve the parameter robustness of system while maintaining a good dynamic performance.First,the influence of parameters mismatch on the conventional MPC was analyzed in detail.Then,on the basis of MFPC,a lumped disturbance observation method based on SMO was proposed,and the stability analysis method and discretization method of the SMO were studied in detail.Comparative experimental results show that the proposed method can reduce the steady state current THD from 10.44%to 8.75%,and the dynamic response time can be reduced from 1.094 ms to 0.754 ms.
作者
郭磊磊
陈墨
罗魁
李琰琰
金楠
GUO Leilei;CHEN Mo;LUO Kui;LI Yanyan;JIN Nan(School of Electric and Information Engineering,Zhengzhou University of Light Industry,Zhengzhou 450002,China;China Electric Power Research Institute,Beijing 100192,China)
出处
《电机与控制学报》
EI
CSCD
北大核心
2023年第6期127-136,共10页
Electric Machines and Control
基金
国家自然科学基金(U2004166)
河南省青年人才托举工程项目(2019HYTP021)
河南省高校科技创新团队项目(22IRTSTHN017)。
关键词
模型预测控制
电压源逆变器
无模型预测控制
超局部模型
滑模观测器
鲁棒性
model predictive control
voltage source inverter
model-free predictive control
ultra-local model
sliding mode observer
robustness
