垂尾抖振响应的在线辨识鲁棒自适应主动控制研究

Robust adaptive control for vertical tail buffeting using online identification

  • 摘要: 针对垂尾模型低阶模态抖振响应的主动控制问题,考虑实际工程结构模型参数摄动的影响,提出了一种在线辨识的鲁棒自适应控制方法:通过设计鲁棒控制器对次级通道进行反馈式阻尼补偿,并采用联立方程法实现阻尼补偿次级通道的在线建模。基于压电宏纤维复合材料(Macro-Fiber Composite, MFC)作动器构建了垂尾抖振响应的压电主动控制系统,开展了参数摄动情况下的垂尾模型抖振响应主动控制数值仿真与地面试验。结果表明:在线辨识的鲁棒自适应控制算法有效克服了系统参数摄动造成的控制发散,显著拓宽了控制算法的有效工作区间;地面试验中垂尾模型受控抖振响应的RMS值较无控响应的RMS值降低了40.6%~41.4%,验证了该控制方法在实际应用中的可行性和有效性。

     

    Abstract: To address the challenge of active control for the low-order mode buffeting response of the vertical tail model while considering parameter perturbations in practical engineering, a control strategy combining robust control and the FxLMS algorithm based on online identification technology is proposed. The robust controller is designed to provide feedback secondary path damping compensation, and a simultaneous equation method is employed for the online modeling of the damping-compensated secondary channel. Based on the macro-fiber composite (MFC) actuator, a piezoelectric active control system for the vertical tail buffeting suppression is developed. Numerical simulations and ground tests are performed to examine the effectiveness of the active control system under parameter perturbations. The results demonstrate that the proposed control algorithm based on online identification technology effectively overcomes control divergence caused by system parameter perturbations and significantly broadens the effective operational range of the control algorithm. In ground tests, the RMS value of the controlled vertical tail buffeting response is reduced by 40.6% to 41.4% compared to the uncontrolled response, verifying the effectiveness and reliability of the algorithm in practical engineering applications.

     

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