变体飞行器执行器故障在线主动容错控制方法

On-line active fault tolerant control method for actuator fault of morphing aircraft

针对变体飞行器在飞行过程中存在的执行器故障问题,提出一种基于置信规则库(BRB)专家系统的在线主动容错控制方法。基于变体飞行器的气动参数模型和非线性动力学模型,建立变体飞行器切换线性变参数(LPV)故障模型。针对变体飞行器故障模型,提出基于BRB专家系统的执行器故障诊断和容错控制框架,引入证据推理(ER)算法,提高故障诊断准确度和容错控制能力。利用基于投影算子的协方差矩阵自适应优化策略(P-CMA-ES),构建变体飞行器故障诊断和容错控制参数优化模型,降低模型的复杂度,提高故障诊断的准确性。通过仿真验证该方法能够有效克服执行器故障,实现变体飞行器的稳定飞行控制。

An on-line active fault tolerant control method based on belief rule base(BRB) expert system was proposed to solve the actuator fault problem of morphing aircraft during morphing flight. Based on the aerodynamic parameter model and nonlinear dynamic model of morphing aircraft, the switching linear parameter varying(LPV) fault model of morphing aircraft was established. Aiming at the fault model of morphing aircraft, the actuator fault diagnosis and fault-tolerant control framework based on BRB expert system was proposed. At the same time, the evident reasoning(ER) algorithm was introduced to improve the accuracy of fault diagnosis and fault tolerant control ability. Then, by using covariance matrix adaptive optimization strategy based on projection operator(P-CMA-ES), a fault diagnosis and fault tolerant control parameter optimization model of morphing aircraft was constructed, which reduced the complexity of the model and improved the accuracy of fault diagnosis. The simulation results show that this method can effectively overcome the actuator fault and realize the stable control of the morphing aircraft.