Backlash compensation in nonlinear systems using dynamic inversion by neural networks

R. Selmic, F. L. Lewis
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引用次数: 59

Abstract

A dynamic inversion compensation scheme is presented for backlash. The compensator uses the backstepping technique with neural networks (NN) for inverting the backlash nonlinearity in the feedforward path. The technique provides a general procedure for using NN to determine the dynamic pre-inverse of an invertible dynamical system. A tuning algorithm is presented for the NN backlash compensator which yields a stable closed-loop system.
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基于神经网络动态反演的非线性系统间隙补偿
提出了一种针对间隙的动态反演补偿方案。该补偿器采用神经网络反步技术来反演前馈路径中的间隙非线性。该技术为利用神经网络确定可逆动力系统的动态预逆提供了一种通用的方法。提出了一种神经网络间隙补偿器的整定算法,使其产生稳定的闭环系统。
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