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针对具有外部干扰和执行器故障的不确定线性系统,给出了一种有限时间内估计系统状态及重构执行器故障的方法.首先,通过状态和输出等价变换,得到不受执行器故障和建模不确定信息干扰的降维解耦系统.在此基础上设计有限时间状态估计器,并设置任意小的时延参数,实现对降维系统状态的有限时间估计,从而达到对原系统状态有限时间估计的目的;其次,考虑高增益滑模微分器对系统输出微分进行有限时间估计;之后,在原系统状态和系统输出微分有限时间估计的基础上,提出一种对系统不确定信息和执行器故障同时估计的方法;最后,通过对具有执行器故障的F-16飞行器纵向系统模型进行仿真,验证所提方法的有效性.
Aiming at the uncertain linear system with external disturbance and actuator failure, a method to estimate the state of the system and reconstruct the actuator failure within a finite time is given.First, through the state and output equivalence transformation, And the dimensionless decoupling system disturbed by the modeling uncertainty information.On the basis of this, a finite-time state estimator is designed and an arbitrary small delay parameter is set to achieve a finite time estimation of the state of the reduced-dimensional system so that the original system State finite-time estimation. Secondly, a high-gain sliding mode differentiator is used to estimate the output differential of the system for a finite time. Then, based on the original system state and the differential finite time estimation of the system output, Finally, the effectiveness of the proposed method is verified by simulating the longitudinal system model of F-16 aircraft with actuator failure.