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液驱多维力加载系统的CMAC-PID复合控制 被引量:3

CMAC-PID Compound Control of Hydraulic Driving Multi-dimensional Force Loading System
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摘要 液驱并联机构多维力加载系统是多维力加载环境模拟的重要设备,然而在多维力加载过程中存在强耦合力导致动态响应差的问题。为此提出一种新型CMAC-PID复合控制方法,用于抑制耦合力,提高力加载动态跟踪性能。通过构建多维力加载系统动力学模型与液压动力元件模型,分析研究耦合力产生机理。利用小脑模型神经网络控制器具有较强的自适应性,能够实现快速学习非线性函数等优点,将多维力加载时产生的耦合力视为干扰,引入CMAC-PID复合控制器不仅补偿了耦合力干扰,并且显著提高多维力加载跟随性能。实验结果表明,在CMAC-PID复合控制器作用下,多维力跟踪曲线幅值衰减最小降低84.9%,相位滞后最小降低35.1%,耦合力降低66.6%。验证了CMAC-PID复合控制器在降低各通道间耦合力,提高多维力加载控制精度的有效性。 The multi-dimensional loading system of hydraulic drive parallel mechanism is an important equipment for the simulation of multi-dimensional loading environment.However,strong coupling force lead to poor dynamic response during the multi-dimensional force loading.Therefore,a new CMAC-PID compound control method is proposed to restrain coupling force and improve dynamic tracking performance of the force loading.By constructing the dynamic model of multi-dimensional force loading system and the hydraulic power component model,we analyze the mechanism of coupling force generation.The CMAC has strong self-adaptability and can achieve fast learning of nonlinear functions.Based on this,we consider the coupling force generated by multi-dimensional force loading as interference and introduce the CMAC-PID compound controller,which not only compensates the coupling force interference,but also significantly improves the following performance of multi-dimensional force loading.The experimental results show that the amplitude attenuation of the multi-dimensional tracking curve is reduced by 84.9%,the phase lag is reduced by 35.1%and the coupling force is reduced by 66.6% under the action of the CMAC-PID compound controller,and the effectiveness of CMAC-PID compound controller in reducing the coupling force between channels and improving the control precision of multi-dimensional force loading is verified.
作者 赵劲松 王春发 杨涛 徐嘉祥 马志雷 赵子宁 ZHAO Jin-song;WANG Chun-fa;YANG Tao;XU Jia-xiang;MA Zhi-lei;ZHAO Zi-ning(Hebei Provincial Key Laboratory of Heavry Machinery Fluid Power Transmission and Control,Yanshan University,Qinhuangdao,Hebei 066004;The State Key Laboratory of Fluid Power and Mechatronic Systems,Zhejiang University,Hangzhou,Zhejiang 310027;School of Mechanical Engineering,Yanshan University,Qinhuangdao,Hebei 066004)
出处 《液压与气动》 北大核心 2020年第3期7-15,共9页 Chinese Hydraulics & Pneumatics
基金 国家自然科学基金青年科学基金(51505412) 流体动力与机电系统国家重点实验室开放基金(GZKF-201807)
关键词 多维力加载系统 神经网络 复合控制器 控制特性 multidimensional force loading system neural network compound controller control characteristics
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