摘要
研究了一种基于LQG自校正器的机翼颤振主动抑制设计方法.以带有后缘控制面的柔性机翼为研究对象,采用在线辨识来获取系统的时变参数,利用Kalman滤波器重构状态,通过求解离散时间代数Riccati方程得出机翼颤振主动控制律.在Simulink仿真平台上实现了上述方法,仿真结果表明,该控制器能够有效抑制机翼颤振的发生并具有一定的鲁棒性.
This paper studied the design method of the LQG self-tuning controller to suppress the flutter of a wing. The flexible wing model with a single trailing-edge control surface was used in this study. The on-line iden- tification was used to obtain the time-varying parameters of the system, and the Kalman filter was used to estimate the states of the system. Then, the control law Was determined by solving a set of discrete-time algebraic Riccati equations. All the developed algorithms were implemented on the Simulink platform. The simulation results show that the developed controller is effective and robust.
出处
《动力学与控制学报》
2012年第2期177-181,共5页
Journal of Dynamics and Control
基金
国家自然科学基金资助项目(10972100)~~
关键词
LQG自校正
参数辨识
颤振主动抑制
LQG self-tuning controller, parameter identification, active flutter suppression