基于双重积分模型抗扰控制的压电薄壁结构振动控制

发布时间：2018-11-06 07:45

【摘要】：针对扰动频率未知或随机变化的情况下的压电智能结构振动控制,提出并开发了一种双重积分模型抗扰控制算法并将其用于压电层合梁的振动控制。首先建立了双重积分状态空间模型并将外力扰动、系统非线性部分、建模误差等物理扰动和部分系统状态变量归纳于广义扰动。其次借助于双重积分模型的特殊结构,对系统进行解耦并应用极点配置法设计了具有快速收敛速度的PI观测器和抗扰控制器。该PI观测器能够快速准确地观测广义扰动和系统状态变量并通过抗扰控制器将其反馈至系统以控制振动。最后通过对具有并列压电致动器和传感器的智能悬臂梁的振动控制仿真验证了这种双重积分模型的抗扰控制算法,并与使用GPI观测器的抗扰控制算法的控制效果进行了比较。结果表明:该双重积分模型抗扰控制算法能够有效地控制由频率未知或者随机变化的扰动引起的振动,且其振动控制性能优于使用GPI观测器的抗扰控制算法。
[Abstract]:For the vibration control of piezoelectric intelligent structures with unknown disturbance frequency or random variation, a dual integral model disturbance rejection control algorithm is proposed and developed and applied to the vibration control of piezoelectric laminated beams. Firstly, the dual integral state space model is established and the physical disturbances such as external force disturbance, nonlinear part of the system, modeling error and partial state variables of the system are summed up into generalized perturbations. Secondly, with the help of the special structure of the dual integral model, the system is decoupled and the PI observer and disturbance rejection controller with fast convergence rate are designed by pole assignment method. The PI observer can quickly and accurately observe generalized disturbance and system state variables and feedback them to the system through disturbance rejection controller to control vibration. Finally, the simulation of vibration control of intelligent cantilever beam with parallel piezoelectric actuators and sensors verifies the disturbance rejection control algorithm of the dual integral model, and compares the control effect with the disturbance rejection control algorithm using GPI observer. The results show that the dual integral model disturbance rejection control algorithm can effectively control the vibration caused by disturbance with unknown frequency or random variation, and its vibration control performance is better than that of the disturbance rejection control algorithm using GPI observer.
【作者单位】：西北工业大学机电学院;南京航空航天大学机械结构力学及控制国家重点实验室;
【基金】：国家自然科学基金(51505380、51475373、51375390) 南京航空航天大学机械结构力学及控制国家重点实验室开放基金(MCMS-0517G01)资助
【分类号】：TB53

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