Robust Fault-tolerant Control Method Based On The Near Space Vehicle Longitudinal Decoupling Model Studies

Comparing to traditional aerospace plane, the near-earth space flight vehicle has lots of advantages, such as strategy monitoring, tactical attack, high utility of consuming ratio, and so on. Considering its special and complicated flight circumstances, its controller needs better reliability and robustness. This paper is a research about robust fault tolerant control technique of near-earth space flight, according to Model Dynamic, noise disturbances and failures existing in the near-earth space flight. The main work is as follows:Firstly, according to uncertainty, noise disturbances and sensor failure existing in the vertical decoupling linear model of near-earth space flight, based on principles of model following, this paper designs a completely robust model following controller. On the basis of ignoring the system uncertain situation, the design promises that internal stable gain can realize complete model tracking, outer loop robust stable gain can remove the affect to the system because of model uncertainty and closed loop system has robust stability. The design also resolves the problem that plan on traditional PMF controller designing part is unsteady.Secondly, according to nonlinear dynamic state in its vertical decoupling affine and nonlinear model, measuring noise disturbances and actuator failure, this paper designs a RFBARIC controller based on the principle of adaptive inverse. In the first place, based on robust filter method, this design promises effective departure of system state value and measuring noise. In the second place, this paper designs robust follower and model dynamic compensator based on principles of adaptive inverse, adjust controller parameters with the state difference, and promises the robust stability on the basis of ignoring model noise. At last, considering the model noise, the system removes the noise affect with noise compensator, and promises the system output steadyLastly, according to nonlinear dynamic state in its vertical decoupling affine and nonlinear mode, measuring noise disturbances and actuator failure, this paper designs a IMBMRTC controller based on internal model principles. The controller distinguishes internal model via designing neural network with modeling. It designs robust follower and model dynamic compensator with model referring thoughts, and compensates the nonlinear dynamic state of system. The controller also designs noise suppressor to remove noise error and promises system steady outputs.