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基于双曲正切函数的二阶时变参数扩张状态观测器
引用本文:于洪国,康忠健,陈瑶.基于双曲正切函数的二阶时变参数扩张状态观测器[J].控制理论与应用,2016,33(4):530-534.
作者姓名:于洪国  康忠健  陈瑶
作者单位:中国石油大学(华东),中国石油大学(华东),中国石油大学(华东)
基金项目:教育部中央高校基本科研业务费专项资金项目(14CX05039A), 国家自然科学基金项目(61271001)资助.
摘    要:当传统扩张状态观测器(ESO)的状态初值与系统的状态初值相差较大时,普遍存在微分峰值现象.为了消除这种现象,本文给出了用双曲正切非线性函数构造ESO的一般形式,并且用Lyapunov函数证明了二阶ESO的误差系统为渐近稳定.然后又利用双曲正切函数自身的饱和特性,设计出一种时变ESO,可以实现微分峰值的有效抑制.最后,把这种ESO的仿真结果与经典ESO的仿真结果进行对比,表明这里提出的ESO能够有效抑制微分峰值现象,并可以获得系统状态变量和非线性扰动的精确估计.

关 键 词:扩张状态观测器  Lyapunov函数  时变参数  微分峰值现象  状态估计  不确定系统
收稿时间:2015/5/25 0:00:00
修稿时间:2015/12/4 0:00:00

Time-varying parameter second-order extended state observer based on hyperbolic tangent function
YU Hong-guo,KANG Zhong-jian and CHEN Yao.Time-varying parameter second-order extended state observer based on hyperbolic tangent function[J].Control Theory & Applications,2016,33(4):530-534.
Authors:YU Hong-guo  KANG Zhong-jian and CHEN Yao
Affiliation:China University of Petroleum(East China),China University of Petroleum(East China),China University of Petroleum(East China)
Abstract:The derivative peaking phenomenon in the traditional extended state observer (ESO) usually occurs when the initial difference between the initial value of the traditional ESO and the initial value of the system state variable is large. To deal with this phenomenon, we derive the general form of the ESO based on the nonlinear hyperbolic tangent function, and use Lyapunov functions to prove the asymptotic stability of the second-order ESO error system. Then, we make use of the self saturation characteristic of the hyperbolic tangent function to design a second-order ESO with time-varying parameters, which can effectively suppress the derivative peaking phenomenon. Comparing the simulation result of this type of ESO with that of the traditional ESO, we find that the proposed ESO can effectively inhibit the derivative peaking phenomenon, and obtain the accurate estimation for both system state variables and nonlinear disturbances.
Keywords:extended state observer (ESO)  Lyapunov functions  time-varying parameters  derivative peak phenomenon  state estimation  uncertain systems
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