摘要
针对汽车非线性悬架参数识别问题,根据最小二乘法原理,分别提出了基于离散化模型的参数识别方法和基于系统输入输出数据的参数识别方法。首先,从理论上介绍了两种识别方法的理论基础及其与最小二乘法之间的内在联系。其次,分别应用两种方法对汽车非线性悬架系统的线性及非线性参数进行识别,并通过仿真验证了两种基于最小二乘法的非线性系统参数识别方法的有效性。最后,进一步介绍了对于更一般的非线性系统,两种方法的适用范围,为非线性悬架系统及同类非线性系统的设计与分析提供了理论基础。
In order to address the parameter estimation issue of nonlinear vehicle suspension systems,two estimation approaches,which are the estimation method based on discretization model and the estimation method based on the input-output data,are proposed based on the least squares method.Firstly,the two estimation approaches are theoretically introduced and the intrinsic relationship between the two approaches and the least square method are discussed.After that,the two estimation approaches are applied to identify the linear and nonlinear parameters of the nonlinear vehicle suspension systems.The efficiency of both approaches is validated by using numerical simulations.Finally,for more general nonlinear systems,the applicable ranges of the two approaches are discussed,providing the base for the analysis and design of nonlinear suspension systems and similar systems in theory.
作者
李翠梅
周洋
LI Cui-mei;ZHOU Yang(Department of Basic Courses,Zhengzhou University of Science&Technology,He’nan Zhengzhou 450064,China)
出处
《机械设计与制造》
北大核心
2020年第9期62-65,共4页
Machinery Design & Manufacture
基金
2014年度郑州市科技局软科学项目—基于“三化”统筹中原经济区特色农业发展研究(20141153)。
关键词
非线性
悬架系统
最小二乘法
参数识别
Nonlinear
Suspension Systems
The Least Squares Method
Parameter Estimation
