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

A time-varying time-delay and fuzzy prediction technology, applied in the direction of adaptive control, general control system, control/regulation system, etc., can solve problems such as poor ability to suppress fault derivatives, not suitable for industrial applications, and cannot be processed at the same time

Active Publication Date: 2019-01-15
LIAONING UNIVERSITY OF PETROLEUM AND CHEMICAL TECHNOLOGY
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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 sa

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

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Embodiment

[0145] The present invention conducts experimental research on the outlet temperature of the nonlinear continuous stirred tank (CSTR) process, and the results are as follows.

[0146] Such as figure 2 As shown, consider two groups of different constant faults to evaluate the control performance of the system, respectively α = 0.6, α = 0.8. figure 2 (a) is the output response curve of the system. It is obvious from the figure that the control performance of the proposed method deteriorates as the fault α becomes severe. However, the derivation of faults can be effectively suppressed by the proposed method, and the output response can be guaranteed to be smooth and fast to track the set value. figure 2 (b) is the graph of the system control input. It can be seen from the figure that with the seriousness of fault α, the effect of control input becomes worse. However, it can be found that the proposed method will give a fast control input to track the change of setpoint and...

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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,...

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Application Information

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IPC IPC(8): G05B13/04
CPCG05B13/0275G05B13/042
Inventor 施惠元宋晗李平苏成利曹江涛
Owner LIAONING UNIVERSITY OF PETROLEUM AND CHEMICAL TECHNOLOGY
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