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Control of acrobot based on Lyapunov function 总被引:3,自引:0,他引:3
Fuzzy control based on I-yapunov function was employed to control the posture and the energy of an acrobot to make the transition from upswing control to balance control smoothly and stably. First, a control law based on I-yapunov function was used to control the angle and the angular velocity of the second link towards zero when the energy of the acrobot reaches the potential energy at the unstable straight-up equilibrium position in the upswing process. The controller based on I-yapunov function makes the second link straighten nature relatively to the first link. At the same time, a fuzzy controller was designed to regulate the parameters of the upper control law to keep the change of the energy of the acrobot to a minimum, so that the switching from upswing to balance can be properly carried out and the acrobot can enter the balance quickly. The results of simulation show that the switching from upswing to balance can be completed smoothly, and the control effect of the acrobot is improved greatly. 相似文献
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基于二维混合模型和状态观测器的重复控制设计 总被引:1,自引:0,他引:1
针对一类正则线性系统, 提出一种基于状态观测器和二维混合模型的重复控制系统设计方法. 首先, 通过构造一个状态观测器来重构系统的状态, 建立基于重构状态的线性控制律. 然后, 通过独立地考虑重复控制系统的连续控制过程与离散学习行为, 给出基于状态观测器和重构状态反馈的连续/离散二维混合模型. 针对这个混合模型, 运用二维Lyapunov泛函方法, 以线性矩阵不等式(Linear matrix inequality, LMI)的形式给出重复控制系统存在重复控制器和状态观测器的充分条件, 所给条件可用Matlab工具箱方便地求解. 数值仿真验证了本文所提方法的有效性. 相似文献
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Acrobot控制器设计与全局稳定性分析 总被引:2,自引:1,他引:1
提出一种基于非光滑 Lyapunov 函数的 Acrobot 控制器设计和全局稳定性分析方法. 基于三个 Lyapunov 函数分别设计了三种控制规律, 用来增加 Acrobot 的能量和保持合适的姿态, 使 Acrobot 摇起并稳定在垂直向上的不稳定平衡点. 应用 LaSalle 不变原理和非光滑 Lyapunov 函数理论, 保证了 Acrobot 在整个运动空间的全局稳定性. 仿真结果证明了该方法的有效性. 相似文献
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The problem of designing a non-fragile delay-dependent H∞ state-feedback controller was investigated for a linear time-delay system with uncertainties in state and control input. First, a recently derived integral inequality method and Lyapunov-Krasovskii stability theory were used to derive new delay-dependent bounded real lemmas for a non-fragile state-feedback controller containing additive or multiplicative uncertainties. They ensure that the closed-loop system is internally stable and has a given H∞ disturbance attenuation level. Then, methods of designing a non-fragile H∞ state feedback controller were presented. No parameters need to be tuned and can be easily determined by solving linear matrix inequalities. Finally, the validity of the proposed methods was demonstrated by a numerical example with the asymptotically stable curves of system state and controller output under the initial condition of x(0)=[1 0 -1]^T and h=0.8 time-delay boundary. 相似文献
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