基于加速度反馈和自抗扰的加筋壁板结构复合振动控制

Composite vibration control for a stiffened panel structure using acceleration feedback and active disturbance rejection

四面固支加筋壁板结构中存在的模型难以确定等多种不确定因素,影响了闭环结构的振动控制性能。针对这一问题设计了一种不依赖结构数学模型的加速度传感信号反馈和二阶线性自抗扰复合振动主动控制策略,并在理论上分析其稳定性和优越性。首先,采用二阶线性自抗扰控制器实时估计对象模型变化及其外扰组成的广义干扰,并将估计值作为补偿信号前馈到控制信号中消除广义干扰对系统的影响;然后,设计加速度传感信号和线性状态误差反馈的自抗扰复合振动控制器;最后,基于dSPACE实时仿真系统,建立了四面固支加筋壁板结构的主动振动试验平台。利用加速度传感器和压电片驱动器抑制加筋壁板结构振动,并对提出的控制方法进行对比试验。几种外界干扰激励的试验结果表明,该方法不仅能有效抑制由于正弦激励和外界冲击引起的振荡,而且能更好抑制不确定因素引起的整个结构的波动。

There are a variety of uncertainties in the all-clamped stiffened panel structure, e. g. , model uncertainty, which can affect the vibration control performance of the closed-loop structure. A kind of linear composite active vibration control strat- egy combining a second order active disturbance rejection controller （ADRC） with an acceleration feedback controller is de- signed, which is independent of the mathematical model of the structure. And the stability and superiority of the strategy are analyzed theoretically. Firstly, the estimation of the generalized disturbances including the variations of the structure model and the external disturbances were real-time performed by a second order linear active disturbance rejection controller, and it was fed forwards to the control as the compensated signal to reject the effect caused by these disturbances. Secondly, a kind of composite vibration controller based on the feedback of acceleration and linear state error signals was designed. Finally, in order to verify the proposed composite controller, using dSPACE real-time simulation system an experimental platform of active vibration control for the all-clamped stiffened panel structure was built. Acceleration sensor and piezoelectric actuator were used and comparison tests were conducted for the proposed control method. The experiment results under several disturbance excitations demonstrate that the proposed vibration control strategy not only effectively suppresses the vibration excited by sinusoidal and impulsive disturbances, but also diminish the fluctuation effects caused by uncertain factors.