基于线性参数变化自适应观测器,研究了一类具有外部扰动的不确定线性参数变化系统的鲁棒故障诊断问题。针对飞控系统具有非线性和时变的特点,运用了线性参数变化技术,提出一种基于线性参数变化自适应观测器的自适应故障估计算法来估计故障信息。为降低外部扰动对故障估计的影响,引入了H_∞鲁棒性能指标来设计线性参数变化自适应观测器以及故障估计算法。结果表明,该方法具有良好的故障估计性能,且对外部扰动具鲁棒性。设计过程中,将参数的求解转化为线性矩阵不等式(LMIs)约束下的凸优化问题。最后,将该方法应用于直升机线性参数变化飞控系统执行器故障诊断,仿真实验验证了该方法的有效性。 Based on the linear adaptive parameter observer, a robust fault diagnosis problem for a class of uncertain linear parameter varying systems with external disturbances is studied. Aiming at the nonlinear and time-varying characteristics of flight control system, an adaptive fault estimation algorithm based on linear parameter change adaptive observer is proposed to estimate fault information by using linear parameter variation technique. In order to reduce the influence of external disturbances on the fault estimation, H_∞ robust performance index is introduced to design linear parameter adaptive observer and fault estimation algorithm. The results show that this method has good fault estimation performance and robust to external disturbances. In the design process, the solution of parameters is transformed into the convex optimization problem under the constraints of linear matrix inequalities (LMIs). Finally, the method is applied to the fault diagnosis of the actuator in a helicopter linear parameter varying flight control system. Simulation results show the effectiveness of the method.