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机构地区:[1]广西大学数学与信息科学学院,广西南宁530004
出 处:《广西大学学报(自然科学版)》2015年第6期1406-1413,共8页Journal of Guangxi University(Natural Science Edition)
基 金:国家自然科学基金资助项目(61164016;61573111);广西自然科学基金重点项目(2013GXNSFDA019003);广西自然科学基金资助项目(2015GXNSFAA139003)
摘 要:机械系统的动力学方程是用状态速度和状态加速度描述的二阶系统,而传统的基于一阶系统表示的观测器理论并不完全适用于二阶系统,为此,文中针对一类二阶Lipschitz非线性系统提出了自然观测器的设计问题。所提出的自然观测器与被观测的二阶系统具有相同的代数结构,能保证位置估计量的导函数恰好是速度估计量。为降低结果的保守性,利用非线性函数的Lipschitz性质,将估计误差系统表示为LPV(Linear Parameter Varying)系统,在此基础上,引入参数依赖的Lyapunov函数分析估计误差系统的稳定性,并建立了自然观测器存在的充分条件。该条件表示为一组带有可调参数的线性矩阵不等式,通过求解该组线性矩阵不等式,便可获得自然观测器的增益矩阵和估计误差的收敛速率。最后通过数值例子验证了本文结果的有效性和实用性。The dynamics of mechanical systems are described by second-order systems in terms of both state velocities and state accelerations. The traditional observer theory based on the representation of one-order form is not fully suitable to second-order systems. In this paper,the design problem of natural observers for a class of second-order Lipschitz nonlinear systems is addressed. The proposed natural observer has the same structure as the observed second-order system,which ensures that the derivative of the estimated position is indeed the estimated velocity. In order to reduce conservatism,the estimation error system is reformulated as a linear parameter varying system( LPV) by taking the properties of the Lipschitz nonlinear function into account. Based on the representation,a parameter-dependent Lyapunov function is introduced to analyze the stability of the error dynamics. A sufficient condition for the existence of natural observers is established. The sufficientcondition is expressed as a set of linear matrix inequalities with a tuning parameter. Finally,a numerical example is presented to validate the effectiveness and practicability of the proposed method.
关 键 词:二阶系统 Lipschitz系统 自然观测器 LPV方法 参数依赖LYAPUNOV函数
分 类 号:TP273[自动化与计算机技术—检测技术与自动化装置]
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