Multi-stage intermittent process 2D linear quadratic tracking fault-tolerant control method

Abstract

The invention belongs to the field of the advanced control of industrial process, and relates to a multi-stage intermittent process 2D linear quadratic tracking fault-tolerant control method. The method comprises the following steps: step one, establishing a switching system model taking a controlled object as the basis of a state space model and provided with fault 2D for different stages in theintermittent process; step two, by considering a 2D switching system model containing a free terminal state and for non-least realizing different stages, designing an intermittent process linear quadratic 2D iterative learning controller for an infinite time domain of the controlled object for a normal system, namely, an optimal controller; and step three, finding out a system stability conditionand designing a switching signal for the novel 2D switching system model. Through the method disclosed by the invention, a correspondingly simple controller capable of flexibly adjusting in real timeis designed according to different stages and an executor fault, the controller has a certain robustness, thereby improving the control quality; the design is simple, the computation burden is small,the optimal control performance of the system is guaranteed, the system operation time is shortened, and the efficient production is realized.

Description

technical field [0001] The invention belongs to the advanced control field of industrial processes, and relates to a 2D linear quadratic tracking fault-tolerant control method for a multi-stage intermittent process. Background technique [0002] In modern industrial production, batch processes are widely used, especially in the food industry, pharmaceutical industry, chemical industry, etc. The research on its control theory has also made a huge breakthrough. But it is still a challenge in the high-precision control of modern industrial processing. The main reason is its high-quality production level requirements and complex and changeable process conditions. Consequently, the probability of system failure also increases. Among these failures, the most common one is the actuator failure. Due to characteristics such as friction, dead zone, saturation, etc., the actuator will inevitably have some failures during the execution process, which makes it difficult for it to rea...

AI Technical Summary

Problems solved by technology

Although there are certain research results for multi-stage, the controller gain cannot be adjusted in the whole process

In actual industrial control, due to factors such as drift in actual working conditions, process nonlinearity, and external interference of the system, the control performance of the control system may decline after a period of operation, and the operating time at each stage may be extended.

If the switching signal and repair controller are not designed in time to improve the control quality, the economic benefits obtained by the control system will be reduced

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