期刊文献+

基于REFOR算法的多输出非线性系统动态参数化建模方法研究 被引量:4

Dynamic Parametrical Modeling Method of Nonlinear Systems with Multiple Outputs Based on REFOR Algorithm
原文传递
导出
摘要 针对多输出非线性系统动态模型的辨识问题,提出一种新的非线性系统动态参数化建模方法,即冗余向前延拓正交(Redundant extended forward orthogonal regression,REFOR)算法。该算法旨在消除传统向前延拓正交(Extended forward orthogonal regression,EFOR)算法因遗漏某些重要模型项而造成所建模型精度较低的问题。首先,基于系统在各工况下辨识所得非线性有源自回归(Non-linear autoregressive with exogenous inputs,NARX)模型,利用REFOR算法统一各模型结构得到模型系数与设计参数间的函数关系,进而建立多输出非线性系统的动态参数化模型。其次,以四自由度非线性系统为例,说明了REFOR算法的优势及其在系统建模中的应用。最后,利用REFOR算法建立悬臂梁的动态参数化模型,并将REFOR预测输出与试验测得输出进行对比,试验结果表明,基于REFOR算法建立的非线性系统动态参数化模型,能准确预测系统的输出响应,为非线性系统建模方法的优化设计提供了理论基础。 In allusion to the identification problem of nonlinear systems with multiple outputs, a new algorithm of nonlinear systems’ dynamic parametrical modeling method, called the redundant extended forward orthogonal regression (REFOR) is proposed in this study, which aims to avoid the missing of some significant model terms when using extended forward orthogonal regression (EFOR) algorithm. Firstly, based on non-linear autoregressive with exogenous inputs (NARX) model, which correspond to different cases of parameter properties, a common-structured model is built via REFOR, and a functional relationship between the coefficients of unified model term and the design parameters is established. A dynamic parametrical model of nonlinear systems with multiple outputs is constructed as a consequence. Further, a 4th degree of freedom (4DOF) nonlinear system is taken as a case study to clarify the advantage of REFOR and its application in modeling. Finally, a dynamic parametrical model of cantilever beam is established via REFOR, and a contrast between REFOR’s output and corresponding real measurement is given. The results indicate that the REFOR based dynamic parametrical model can accurately predict output response of nonlinear systems, which provide a theoretical basis for the optimal design of nonlinear systems’ modeling methods.
作者 罗忠 刘昊鹏 朱云鹏 王菲 韩清凯 LUO Zhong;LIU Haopeng;ZHU Yunpeng;WANG Fei;HAN Qingkai(School of Mechanical Engineering & Automation, Northeastern University, Shenyang 110819;Key Laboratory of Vibration and Control of Aero-Propulsion Systems Ministry of Education of China,Northeastern University, Shenyang 110819;Department of Automatic Control and System Engineering, University of Sheffield, Sheffield S13JD, UK;School of Mechanical Engineering, Dalian University, Dalian 116023)
出处 《机械工程学报》 EI CAS CSCD 北大核心 2018年第23期73-81,共9页 Journal of Mechanical Engineering
基金 国家自然科学基金(11572082) 教育部基本科研业务费专项资金(N160312001,N150304004) 辽宁省高等学校优秀人才支持计划(LJQ2015038)资助项目
关键词 多输出 非线性系统 动态参数化模型 REFOR算法 悬臂梁 multiple outputs nonlinear systems dynamic parametrical model REFOR algorithm cantilever beam
  • 相关文献

参考文献2

二级参考文献20

  • 1李秀英,韩志刚.非线性系统辨识方法的新进展[J].自动化技术与应用,2004,23(10):5-7. 被引量:33
  • 2邱志成.刚柔耦合系统的振动主动控制[J].机械工程学报,2006,42(11):26-33. 被引量:20
  • 3BOOK W J. Controlled motion in an elastic world[J]. Journal of Dynamic Systems, Measurement, and Control, 1993, 15(2B): 252-261. 被引量:1
  • 4PAO L Y. Multi-input shaping design for vibration reduction[J].Automatica, 1999, 35(1): 81-89. 被引量:1
  • 5Van de WAL M, Van BAARS G, SPERLING F, et al. Multivariable H∞/μ feedback control design for high- precision wafer stage motion[J]. Control Engineering Practice, 2002, 10(7): 739-755. 被引量:1
  • 6JIANG Y, ZHU Y, YANG K, et al. A data-driven iterative decoupling feedforward control strategy with application to an ultra-precision motion stage[J]. IEEE Transactions on lndustrialElectronics, 2014, 62(1): 620-627. 被引量:1
  • 7OOMEN T, Van HERPEN R, QUIST S, et al. Connecting system identification and robust control for next- generation motion control of a wafer stage[J]. IEEE Transactions on Control Systems Technology, 2014, 22(1): 102-118. 被引量:1
  • 8ELMUSTAFAA, LAGALLY M Ct Flexural-hinge guided motion nanopositioner stage for precision machining: Finite element simulations[J]. Precision Engineering, 2001, 25(1): 77-81. 被引量:1
  • 9TZES A P, YURKOVICH S. A frequency domain identification scheme for flexible structure control[C]// Decision and Control, 1988, Proceedings of the 27th IEEE Conference on IEEE, 1988, 2: 1627-1632. 被引量:1
  • 10MAKAROV M, GROSSARD M, RODRIGUEZ A P, et al. A frequency-domain approach for flexible-joint robot modeling and identification system identification[C]// 16th IFAC Symposium on System Identification, 2012, 16: 583-588. 被引量:1

共引文献7

同被引文献44

引证文献4

二级引证文献13

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部