首页|基于状态约束的柔性机械臂奇异摄动控制

基于状态约束的柔性机械臂奇异摄动控制

扫码查看
针对未知扰动减弱柔性机械臂系统的控制效果,关节位置跟踪在反步控制设计中的推导复杂,以及跟踪误差过大引起安全事故等问题,提出了一种基于状态约束、指令滤波和模糊自适应的奇异摄动控制方法,对柔性机械臂系统进行关节位置跟踪控制.该方法通过奇异摄动解耦简化柔性机械臂系统,利用log型障碍李雅普诺夫函数对慢子系统进行状态误差约束;引入指令滤波和模糊自适应降低控制设计的计算复杂程度并解决控制精度受非线性扰动影响的问题.仿真结果表明,所提方法有效克服了扰动降低控制精度的问题,有较好的跟踪效果,能保证慢子系统的状态量被约束在指定范围内.
Singular Perturbation Control of Flexible Manipulators Based on State Constraints
s:The unknown disturbance weakens the control effect of the flexible manipulator system,the derivation of joint position tracking in backstepping control design is complicated,and the excessive tracking error cause safety accidents.To solve these problems,a singular perturbation control method based on state constraints,command filtering and fuzzy self-adaptation is proposed to realize the joint position tracking of the flexible manipulator system.In this method,the flexible manipulator system is simplified by singular perturbation decoupling,and the log-type barrier Lyapunov function is used to constrain the state error of the rigid subsystem.Command filtering and fuzzy self-adaptation are introduced to reduce the computational complexity of control design and solve the problem that the control accuracy is affected by nonlinear disturbance.The simulation results show that the proposed method can effectively solve the problem that the disturbance reduces the control precision,has a good tracking effect,and can ensure the state quantity of the rigid subsystem is constrained within the specified range.

Singular perturbationstate constraintbarrier Lyapunov functionflexible manipulator

齐瑞、于金鹏、刘加朋、司晨怡、朱钰

展开 >

青岛大学 自动化学院 山东省工业控制技术重点实验室,山东 青岛 266071

奇异摄动 状态约束 障碍李雅普诺夫函数 柔性机械臂

2025

控制工程
东北大学

控制工程

北大核心
影响因子:0.749
ISSN:1671-7848
年,卷(期):2025.32(1)