基于最小二乘递推算法的半主动悬架系统参数辨识

THE SEMI-ACTIVE SUSPENSION SYSTEM PARAMETER IDENTIFICATION BASED ON THE LEAST SQUARE RECURSIVE ALGORITHM

为了减少在实体建模过程中的误差,本文对半主动悬架系统进行参数辨识研究。在对悬架结构进行分析的基础上,基于ADAMS建立了半主动悬架减振控制系统的实体模型。采用最小二乘递推算法对悬架系统各指标参数进行辨识,辨识后的输出响应曲线与MATLAB输出曲线基本吻合。仿真结果表明:最小二乘递推算法可以有效地降低误差值,提高悬架系统实体建模的准确性,对进一步的悬架系统控制策略研究具有非常重要的意义。

In order to reduce errors in the process of solid modeling, we study on the parameter identification for the semi-active suspension system. On the basis of the analysis to the suspension structure, the solid model of semi-active suspension anti-vibration control system is established by ADAMS. The least square recursive algorithm is used to identify the suspension＇s various parameters. Furthermore, the output response curve based on the identification is basically matched with the output curve based on MATLAB. Simulation results show that the least square recursive algorithm can effectively reduces the errorvalue, improves the accuracy of the suspension system＇s solid modeling, which can provide vital significance for the further research of suspension system control policy.