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首页> 外文期刊>Journal of computational and theoretical nanoscience >Research on Control Strategy of Passive Force Load Electro-Hydraulic Servo System
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Research on Control Strategy of Passive Force Load Electro-Hydraulic Servo System

机译：被动力负载电液伺服系统控制策略研究

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摘要

The electro-hydraulic load simulator is a complex system composed by the electro-hydraulic position servo system and the electro-hydraulic force load servo system, and the two systems are coupling each other. Electro-hydraulic load simulator is a typical passive force load system with strong position disturbance. Aiming at the question of the superfluous force seriously influence load precision of the load system dynamic passive load, and the superfluous force produced from the special coupling each other structure, the fuzzy adaptive neural network control strategy is adopted in this paper. Adaptive adjustment ability of the neural network was used and the structure succinct with rule high efficiency characteristics of the fuzzy intelligent controller was used to adjust weights of the network on line rapidly, and the superfluous force influence could be inhibited effectively by this way and the dynamic performance of the load system could be improved. Research of the simulation and the experiment showed that the system model built in the paper and the control strategy are correct, and the strategy could inhibit the superfluous force high effectively.
机译：电动液压负载模拟器是由电动液压位置伺服系统和电动液压负荷伺服系统组成的复杂系统，并且两个系统彼此耦合。电液载荷模拟器是典型的被动力载荷系统，具有很大的位置干扰。针对多余力严重影响负载系统动态无源负载的负载精度以及特殊的相互耦合结构产生的多余力的问题，本文采用模糊自适应神经网络控制策略。利用神经网络的自适应调节能力，采用结构简单，模糊高效的模糊智能控制器的高效特性，可以快速在线调节网络的权重，从而有效地抑制了多余力的影响。可以改善负载系统的性能。仿真和实验研究表明，本文建立的系统模型和控制策略是正确的，该策略可以有效地抑制多余力。

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