Predictive control of linear time-varying model for hydraulic erecting systems based on linear expanded state observer

IF 2.1 4区工程技术

Advances in Mechanical Engineering Pub Date : 2024-07-31 DOI:10.1177/16878132241266757

Dong Ma, Zhihao Liu, Qinhe Gao, Lei Gao

引用次数: 0

Abstract

By analyzing the deficiencies of existing hydraulic erecting systems (HESs) control methods, this study proposes a linear time-varying model predictive control (LTV-MPC) method based on the linear extended state observer (LESO) for HESs. First, the working mechanism of HESs is methodically analyzed and the corresponding state space equations are established. Second, the LESO system is designed to estimate the current unknown real-time states. Then, the LTV-MPC is employed to evaluate and output the optimal solution of the servo voltage signal. Finally, through simulation and experiment, the effectiveness of the proposed method is confirmed and discussed. The results show that the displacement error rate of the proposed method is still lower than 0.223% under larger external disturbances, which can effectively improve the control accuracy and stability of the system compared with other methods.

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基于线性扩展状态观测器的液压支架系统线性时变模型预测控制

通过分析现有液压支架系统（HES）控制方法的不足，本研究提出了一种基于线性扩展状态观测器（LESO）的液压支架系统线性时变模型预测控制（LTV-MPC）方法。首先，对 HES 的工作机理进行了方法分析，并建立了相应的状态空间方程。其次，设计 LESO 系统来估计当前未知的实时状态。然后，采用 LTV-MPC 评估并输出伺服电压信号的最优解。最后，通过仿真和实验，证实并讨论了所提方法的有效性。结果表明，在较大的外部干扰下，所提方法的位移误差率仍低于 0.223%，与其他方法相比，能有效提高系统的控制精度和稳定性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Advances in Mechanical Engineering Engineering-Mechanical Engineering

自引率

4.80%

发文量

353

期刊介绍： Advances in Mechanical Engineering (AIME) is a JCR Ranked, peer-reviewed, open access journal which publishes a wide range of original research and review articles. The journal Editorial Board welcomes manuscripts in both fundamental and applied research areas, and encourages submissions which contribute novel and innovative insights to the field of mechanical engineering