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作 者:陈增强 王永帅 孙明玮 孙青林 CHEN Zeng-qiang;WANG Yong-shuai;SUN Ming-wei;SUN Qing-lin(College of Artificial Intelligence,Nankai University,Tianjin 300350,China;Key Laboratory of Intelligent Robotics of Tianjin,Tianjin 300350,China)
机构地区:[1]南开大学人工智能学院,天津300350 [2]天津市智能机器人重点实验室,天津300350
出 处:《控制理论与应用》2018年第11期1687-1696,共10页Control Theory & Applications
基 金:国家自然科学基金项目(61573199;61573197)资助~~
摘 要:自抗扰技术应用已十分广泛,但其稳定性和收敛性分析仍是一个核心问题.因此,基于二阶非线性动态系统,设计了线性自抗扰控制器,并利用李雅普诺夫函数方法,通过理论分析和数学证明得到了系统大范围渐近稳定时的控制参数可行域.当被控对象的动态模型已知时,只要系统总扰动的导数满足利普希茨条件,控制参数可以从得到的可行域内任意选择.当被控对象的动态模型未知时,还需满足总扰动关于输入和外扰的二阶导数等于零这个条件.然后针对不同的利普希茨常数绘制了参数可行域,并对系统进行了数值仿真,体现了自抗扰控制技术的强鲁棒性.这些分析都建立在扩张状态观测器和控制器相结合的基础上.Active disturbance rejection control technique has been widely used, but the analysis on stability and convergence is still the core issue. So based on the second-order nonlinear dynamic systems, this paper constructs the linear active disturbance rejection controller, and obtains the feasible region of control parameters for the global and asymptotic stability through theoretical analysis and mathematical proof by means of Lyapunov function method. To be specific, when dynamic model of plant is given, the control parameters can be chosen arbitrarily from the feasible region as long as the derivative of disturbance satisfies a Lipschitz condition. When dynamic model of plant is unknown, it is necessary to satisfy another condition that the second derivative of total disturbance with respect to the input and the external disturbance is equal to zero. Then the feasible region is presented for different Lipschitz constants, and numerical simulations are carried out which show the great robustness of active disturbance rejection controller. All of these studies are based on the combination of extended state observer and the controller.
关 键 词:自抗扰控制 非线性系统 李雅普诺夫函数 全局渐近稳定 参数可行域
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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