Multi-time-lag nonlinear system sliding mode prediction fault-tolerant control method under sensor faults

Abstract

The invention discloses a multi-time-lag nonlinear system sliding mode prediction fault-tolerant control method under sensor faults. In a multi-time-lag non-linear aircraft system with sensor faults,firstly, an augmentation system is constructed for the sensor faults to process the fault quantity, and an equivalent system is obtained; and then a prediction model is constructed by utilizing a quasi-integral sliding mode surface to ensure global robustness. Aiming at system state time lag, input time lag, sensor faults and various disturbance uncertainty, a double-power function reference trackwith novel fault and disturbance compensation is designed, adverse effects of time lag on the system are effectively weakened, and the fault tolerance performance of the system is enhanced. Then an improved inverse time limit chaotic simulated annealing suburb wolf optimization algorithm (ICSACOA) is designed in a rolling optimization part, so that the solving speed and convergence speed of the algorithm are increased. The method is used for robust nonlinear fault-tolerant control of the multi-time-lag nonlinear system with the sensor faults.

Description

technical field [0001] The invention relates to a sliding mode predictive fault-tolerant control method for multi-time-delay nonlinear systems under sensor faults, and belongs to the technical field of robust nonlinear fault-tolerant control for discrete uncertain systems. Background technique [0002] The rapid development of control theory and industrial automation makes the requirements for high-performance control algorithms more and more stringent. However, the traditional control algorithm has gradually failed to meet the requirements of high-tech control systems. Therefore, the advent of new intelligent control algorithms is changing this situation. At present, nonlinearity, strong coupling, internal parameter perturbation, external disturbance, etc., which are common in various systems in the industrial field, will make the initial environment of the system very complicated, resulting in the failure of the system to perform well and even causing Unstable oscillation...

AI Technical Summary

Problems solved by technology

As far as the current research situation is concerned, there are relatively few studies on the problem of fault-tolerant control of nonlinear discrete uncertain systems with sensor faults, input time-delays and state time-delays, and external disturbances. However, this is a research that needs a breakthrough direction

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