Fault-tolerant control method for fault of missile multi-driving state actuator

Abstract

The invention provides a fault-tolerant control method for a fault of a missile multi-driving state actuator. The method comprises the steps that for a general wingless missile, a missile dynamics model is constructed under the condition that a freezing coefficient and a small disturbance hypothesis are met, and control strategies are reconstructed for different driving states of the missile actuator; and finally, according to the designed control strategies, a control system adopts an adaptive fault mode identification factor to identify different fault modes and switch the control strategiesto complete fault-tolerant control of the control system. According to the fault-tolerant control method for the fault of the missile multi-driving state actuator, the adaptive fault mode identification factor is applied, the different fault modes of the missile actuator can be effectively identified, and the corresponding control strategies are selected to reconstruct the control system; and thedifferent fault modes of the missile actuator can be solved through the single control system design, and the change of the system input driving state can be handled.

Description

technical field [0001] The invention belongs to the field of aircraft dynamics and control, in particular to a fault-tolerant control method for the fault of a missile actuator. Background technique [0002] The actuator is the final destination for the control system to complete the control behavior, and the failure of the actuator will lead to a serious decline in the performance of the control system, or even system instability or serious failure. Therefore, the handling of the problem of actuator failure is extremely important for the safety and reliability of the control system. [0003] At present, the fault-tolerant control methods for actuators that do not change the input drive state of the control system are mainly divided into two categories. One is passive fault-tolerant control method, whose research is mainly concentrated in the 1990s, usually based on robust control theory, by designing a fixed controller to provide enough stability margin to overcome the fai...

AI Technical Summary

Problems solved by technology

Although the active fault-tolerant control method can effectively identify and deal with general actuator faults, for multiple actuator faults that can cause changes in the input drive state of the control system, the active fault-tolerant control method cannot identify the failure mode and cannot reconstruct the control system. , it is difficult to apply to the fault-tolerant control of this type of actuator failure

The sliding mode variable structure control method has a single approach law design for the failure of the actuator, and the change of the system input driving state will directly lead to the failure of the control system, and its chattering characteristics will also affect the control performance; although the predictive control method can identify complex system actuators failure mode, but there is no effective reconstruction processing mechanism for system input drive state changes; adaptive control methods can identify general faults of multiple actuators and can effectively reconfigure the control system, but cannot deal with failure modes of underactuated actuators; neural network / The fuzzy logic intelligent control method is quite difficult to completely model the faults of the control system and actuators, and requires a large number of samples for training. It can only deal with the fault modes contained in the learning samples. At present, it is not suitable for solving the faults of actuators in complex systems. Complete

The disturbance-based estimation control method is similar to the predictive control method, and the control system cannot be effectively reconfigured under the condition of multiple actuator failures where the system driving state changes.

[0005] To sum up, for the failure of multiple actuators that can cause the input drive state of the control system to change, the existing technology still lacks an effective solution

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