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The Simplest Identification Model of an Asymmetric Hydraulic System

机译:非对称液压系统的最简单辨识模型

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摘要

A single-rod cylinder servo system driving a discontinuous load is a 4th-order nonlinear system. It can be simplified as a time-varying 1st-order system for typical low frequency applications. The time-varying parameters of such a system conceal the discontinuous loading effect, uncertainties and transient behavior of a single-rod cylinder and servovalve. To overcome these difficulties, the parameter identification process requires the characteristics of exponential convergence and unbiased parameter estimation. Here, the parameter identification process incorporates the 1st-order ARMAX model with PEDF algorithm. Experiments indicate quantatively that this identification process is superior and more adaptive than high-order ARMA models with RLS algorithm.
机译:驱动不连续负载的单杆气缸伺服系统是4阶非线性系统。对于典型的低频应用,它可以简化为随时间变化的一阶系统。这种系统的时变参数掩盖了单杆气缸和伺服阀的不连续负载效应,不确定性和瞬态行为。为了克服这些困难,参数识别过程需要指数收敛和无偏参数估计的特征。在此,参数识别过程将一阶ARMAX模型与PEDF算法结合在一起。实验从数量上表明,与具有RLS算法的高阶ARMA模型相比,此识别过程优越且适应性强。

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