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

A technology for sensor faults and nonlinear systems, applied in program control, general control systems, electrical testing/monitoring, etc., to achieve the effects of ensuring search capabilities, ensuring balance, and accelerating convergence speed and accuracy

Pending Publication Date: 2021-04-02
NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
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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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  • Multi-time-lag nonlinear system sliding mode prediction fault-tolerant control method under sensor faults
  • Multi-time-lag nonlinear system sliding mode prediction fault-tolerant control method under sensor faults
  • Multi-time-lag nonlinear system sliding mode prediction fault-tolerant control method under sensor faults

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Embodiment Construction

[0135] The present invention will be further explained below in conjunction with the accompanying drawings.

[0136] Such as figure 1Algorithm implementation process. The algorithm is designed according to the characteristics of the system. Firstly, the fault quantity is added to the system state quantity through the system structure transformation to deal with the sensor failure; then, the quasi-integral sliding mode surface is designed as a prediction model to ensure that the system state trajectory starts from the initial The state is on the sliding surface; then the double power function is designed as the reference trajectory, and the fault and disturbance uncertainty compensation are considered to effectively suppress the harmful effects of the time delay on the system, so that the fault-tolerant control accuracy is improved; finally, the design is based on the inverse time limit The rolling optimization step of the coyote algorithm optimized by chaotic simulated anneali...

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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...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G05B23/02
CPCG05B23/0243G05B2219/24065
Inventor 杨蒲张芷晴胡旭凯
Owner NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
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