Robust fuzzy predictive fault-tolerant control method for interval time-varying-delaying system

Abstract

The invention relates to a robust fuzzy predictive fault-tolerant control method for an interval time-varying-delaying system. The robust fuzzy predictive fault-tolerant control method includes the following steps that firstly, a T-S fuzzy model of a nonlinear system is constructed; secondly, the constructed T-S fuzzy model is converted into an expanded T-S fuzzy model; thirdly, according to the constructed expanded T-S fuzzy model, a fault-tolerant controller that satisfies a control law is designed; and fourthly, a gain of the fault-tolerant controller is solved in a form of linear matrix inequality and the robust fuzzy predictive fault-tolerant control law is calculated. According to the robust fuzzy predictive fault-tolerant control method for the interval time-varying-delaying system,the robust fuzzy predictive fault-tolerant control method with time-delay dependence is provided according to the fact that a type of the industrial process has the characteristics such as nonlinearity, uncertainty, unknown disturbance, interval time-varying-delaying and partial actuator failure, thus the industrial process operates more smoothly and efficiently, the performance of a system is improved, and the fault tolerance of the system is increased.

Description

technical field [0001] The invention belongs to the advanced control field of industrial processes, and in particular relates to a robust fuzzy prediction fault-tolerant control method for an interval time-varying time-delay system. Background technique [0002] With the rapid development of society and economy, people's living standards continue to improve. For this reason, the demand for high-quality products is also increasing, which will inevitably require the production units of the manufacturing industry to operate under strict operating conditions. However, as industrial production continues, failures are inevitable. If a fault cannot be dealt with in time and effectively, it will inevitably affect the control performance of the system, and even cause the loss of equipment and personnel. At the same time, most industrial processes have nonlinear characteristics, and only linearization at the current point cannot fully reflect their dynamic characteristics. However,...

AI Technical Summary

Problems solved by technology

[0003] A class of industrial processes has the characteristics of nonlinearity, uncertainty, unknown disturbance, interval time-varying time-delay, and some actuator failures. The existing technologies and methods cannot deal with the above phenomena at the same time, and most of the failures are handled by fault observers. , the observer needs to meet certain observation conditions, the ability to suppress fault derivatives is poor, the design is more complicated, and it is not suitable for industrial applications

Images