刘瑞娟,聂卓赟,邵辉,晏来成,郑义民.基于扩张状态观测器的迟滞非线性系统辨识[J].仪器仪表学报,2017,38(8):1970-1977
基于扩张状态观测器的迟滞非线性系统辨识
Identification for hysteresis nonlinear system based on extended state observer
  
DOI:
中文关键词:  迟滞非线性系统  扩张状态观测器  参数辨识  扩张状态观测器
英文关键词:Hammerstein system  hysteresis decomposition  parameter identification  extended state observer (ESO)
基金项目:国家自然科学基金(11626200, 61403149)、福建省自然科学基金 (2015J01261, 2016J05165) 、华侨大学中青年教师科研提升资助计划(ZQN PY408, Z14Y0002)项目资助
作者单位
刘瑞娟 厦门理工学院应用数学学院厦门361024 
聂卓赟 2. 华侨大学信息科学与工程学院厦门361021;3.福建省电机控制与系统优化调度工程技术研究中心厦门361021 
邵辉 2. 华侨大学信息科学与工程学院厦门361021;3.福建省电机控制与系统优化调度工程技术研究中心厦门361021 
晏来成 2. 华侨大学信息科学与工程学院厦门361021;3.福建省电机控制与系统优化调度工程技术研究中心厦门361021 
郑义民 2. 华侨大学信息科学与工程学院厦门361021;3.福建省电机控制与系统优化调度工程技术研究中心厦门361021 
AuthorInstitution
Liu Ruijuan School of Applied Mathematics, Xiamen University of Technology, Xiamen 361024, China 
Nie Zhuoyun 2. School of Information Science and Engineering, National Huaqiao University, Xiamen 361021, China; 3 Fujian Engineering Research Center of Motor Control and System Optimal Schedule,Ximen 361021, China 
Shao Hui 2. School of Information Science and Engineering, National Huaqiao University, Xiamen 361021, China; 3 Fujian Engineering Research Center of Motor Control and System Optimal Schedule,Ximen 361021, China 
Yan Laicheng 2. School of Information Science and Engineering, National Huaqiao University, Xiamen 361021, China; 3 Fujian Engineering Research Center of Motor Control and System Optimal Schedule,Ximen 361021, China 
Zheng Yimin 2. School of Information Science and Engineering, National Huaqiao University, Xiamen 361021, China; 3 Fujian Engineering Research Center of Motor Control and System Optimal Schedule,Ximen 361021, China 
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中文摘要:
      针对一类迟滞非线性系统提出一种参数辨识新方法。通过构造合适的周期输入信号,分析Bouc Wen模型的积分特性,该特性在后续线性参数与迟滞参数辨识中起到重要作用。利用扩张状态观测器获得系统状态和等效扰动构造方程组,实现线性参数和非线性参数的分离辨识,所有参数通过线性方程组求解得到。通过数值仿真验证了方法的有效性。最后,方法应用于一类压电系统的迟滞非线性模型辨识,所得模型能够很好地反应实际系统的特性。
英文摘要:
      A new parameter identification method for a class of hysteretic nonlinear system is presented. The integration property of the Bouc Wen model, which plays an important role in later linear and hysteretic parameter identification, is analyzed through constructing appropriate periodic inputs. System states and equivalent disturbance are observed by extended state observer to develop equation set and by solving linear equation set, linear and nonlinear parameters are identified individually. The effectiveness of the method is validated via simulation. Finally, the proposed method is applied to a class of piezoelectric system for identifying hysteretic nonlinear system model, which reflects the characteristics of the real system well.
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