模型预测控制
控制理论(社会学)
伺服机构
补偿(心理学)
输出反馈
计算机科学
控制工程
水力机械
控制(管理)
工程类
稳健性(进化)
人工智能
机械工程
基因
生物化学
化学
心理学
精神分析
作者
Weiwei Gu,Jianyong Yao,Zhikai Yao,Jingzhong Zheng
标识
DOI:10.1016/j.isatra.2018.12.007
摘要
Enhancing the robustness of output feedback control has always been an important issue in hydraulic servo systems. In this paper, an output feedback model predictive controller (MPC) with the integration of an extended state observer (ESO) is proposed for hydraulic systems. The ESO was designed to estimate not only the unmeasured system states but also the disturbances, which will be synthesized into the design of the output prediction equation. Based on the mechanism of receding horizon and repeating optimization of MPC, the output prediction equation will be updated in real time and the future behavior of the system will be accurately predicted since the disturbances are compensated effectively. Hence, the ability of the traditional MPC to suppress disturbances will be improved evidently. The experiment results show that the proposed controller has high-performance nature and strong robustness against various model uncertainties, which verifies the effectiveness of the proposed control strategy.
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