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基于改进的电液伺服位移算法的实时混合试验控制研究。

Real-Time Hybrid Test Control Research Based on Improved Electro-Hydraulic Servo Displacement Algorithm.

机构信息

College of Mechanical and Electronic Engineering, Nanjing Forestry University, Nanjing 210037, China.

出版信息

Sensors (Basel). 2023 May 15;23(10):4765. doi: 10.3390/s23104765.

DOI:10.3390/s23104765
PMID:37430679
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10224155/
Abstract

Real-time hybrid testing (RTH) is a test method for dynamic loading performance evaluation of structures, which is divided into digital simulation and physical testing, but the integration of the two may lead to problems such as time lag, large errors, and slow response time. The electro-hydraulic servo displacement system, as the transmission system of the physical test structure, directly affects the operational performance of RTH. Improving the performance of the electro-hydraulic servo displacement control system has become the key to solving the problem of RTH. In this paper, the FF-PSO-PID algorithm is proposed to control the electro-hydraulic servo system in real-time hybrid testing (RTH), which uses the PSO algorithm to operate the optimized PID parameters and the feed-forward compensation algorithm to compensate the displacement. First, the mathematical model of the electro-hydraulic displacement servo system in RTH is presented and the actual parameters are determined. Then, the objective evaluation function of the PSO algorithm is proposed to optimize the PID parameters in the context of RTH operation, and a displacement feed-forward compensation algorithm is added for theoretical study. To verify the effectiveness of the method, joint simulations were performed in Matlab/Simulink to compare and test FF-PSO-PID, PSO-PID, and conventional PID (PID) under different input signals. The results show that the proposed FF-PSO-PID algorithm effectively improves the accuracy and response speed of the electro-hydraulic servo displacement system and solves the problems of RTH time lag, large error, and slow response.

摘要

实时混合测试(RTH)是一种用于结构动力加载性能评估的测试方法,它分为数字模拟和物理测试,但两者的集成可能会导致时滞、大误差和响应时间慢等问题。电液伺服位移系统作为物理测试结构的传动系统,直接影响 RTH 的运行性能。提高电液伺服位移控制系统的性能已成为解决 RTH 问题的关键。本文提出了一种用于实时混合测试(RTH)的 FF-PSO-PID 算法来控制电液伺服系统,该算法使用 PSO 算法对优化后的 PID 参数进行操作,并采用前馈补偿算法来补偿位移。首先,提出了 RTH 中电液位移伺服系统的数学模型,并确定了实际参数。然后,提出了 PSO 算法的目标评估函数,以在 RTH 运行的情况下优化 PID 参数,并添加了位移前馈补偿算法进行理论研究。为了验证该方法的有效性,在 Matlab/Simulink 中进行了联合仿真,比较和测试了 FF-PSO-PID、PSO-PID 和传统 PID(PID)在不同输入信号下的性能。结果表明,所提出的 FF-PSO-PID 算法有效地提高了电液伺服位移系统的精度和响应速度,解决了 RTH 时滞、大误差和响应时间慢的问题。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4a23/10224155/4b43358a652f/sensors-23-04765-g013.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4a23/10224155/c08279000d4b/sensors-23-04765-g007.jpg
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本文引用的文献

1
A new adaptive sliding mode controller based on the RBF neural network for an electro-hydraulic servo system.一种基于径向基函数神经网络的新型自适应滑模电液伺服系统控制器。
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Optimized PID Controller Based on Beetle Antennae Search Algorithm for Electro-Hydraulic Position Servo Control System.基于甲虫触角搜索算法的电液位置伺服控制系统优化PID控制器
Sensors (Basel). 2019 Jun 18;19(12):2727. doi: 10.3390/s19122727.
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Robust adaptive precision motion control of hydraulic actuators with valve dead-zone compensation.
具有阀死区补偿的液压执行器鲁棒自适应精确运动控制
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