大加减速轴向移动系统自适应反步边界控制
发布时间：2018-11-18 07:44
【摘要】：针对具有大加减速和系统参数不确定性的轴向移动系统振动主动控制问题,基于Lyapunov直接法、经典反步控制和自适应技术,提出自适应反步边界控制算法对系统振动进行主动控制,并以符号函数处理边界扰动.同时,考虑不连续符号函数在工程上易引起输入颤振,设计饱和函数替代控制器中符号函数,以提升振动控制品质.所设计的控制算法能够补偿系统参数不确定性,确保闭环系统稳定性.数字仿真结果验证了所提出的控制算法的有效性.
[Abstract]:Aiming at the active vibration control problem of axial moving system with large deceleration and uncertain system parameters, the paper is based on Lyapunov direct method, classical backstepping control and adaptive technology. An adaptive backstepping boundary control algorithm is proposed to control the vibration of the system, and the symbolic function is used to deal with the boundary disturbance. At the same time, considering that the discontinuous symbol function is easy to cause the input flutter in engineering, the saturation function is designed to replace the symbol function in the controller to improve the vibration control quality. The proposed control algorithm can compensate for the uncertainty of the system parameters and ensure the stability of the closed loop system. The digital simulation results verify the effectiveness of the proposed control algorithm.
【作者单位】： 华南理工大学自动化科学与工程学院;广州现代产业技术研究院;广东第二师范学院计算机科学系;
【基金】：国家自然科学基金项目(61203060) 广东省科技计划项目(2016B090912003,2016B010126001,2015B010101003,2014A090906010,2014A090906009) 2017年华南理工大学中央高校基本科研业务费项目 广东第二师范学院教授博士科研专项项目(2014ARF25)
【分类号】：O231
[Abstract]:Aiming at the active vibration control problem of axial moving system with large deceleration and uncertain system parameters, the paper is based on Lyapunov direct method, classical backstepping control and adaptive technology. An adaptive backstepping boundary control algorithm is proposed to control the vibration of the system, and the symbolic function is used to deal with the boundary disturbance. At the same time, considering that the discontinuous symbol function is easy to cause the input flutter in engineering, the saturation function is designed to replace the symbol function in the controller to improve the vibration control quality. The proposed control algorithm can compensate for the uncertainty of the system parameters and ensure the stability of the closed loop system. The digital simulation results verify the effectiveness of the proposed control algorithm.
【作者单位】： 华南理工大学自动化科学与工程学院;广州现代产业技术研究院;广东第二师范学院计算机科学系;
【基金】：国家自然科学基金项目(61203060) 广东省科技计划项目(2016B090912003,2016B010126001,2015B010101003,2014A090906010,2014A090906009) 2017年华南理工大学中央高校基本科研业务费项目 广东第二师范学院教授博士科研专项项目(2014ARF25)
【分类号】：O231
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