2d Linear Quadratic Tracking Fault Tolerant Control Method for Multi-stage Batch Process

Abstract

The invention belongs to the advanced control field of industrial processes and relates to a 2D linear quadratic tracking fault-tolerant control method for multi-stage intermittent processes. The method includes the following steps: Step 1. For different stages in the intermittent process, establish a two-dimensional switching system model with faults based on the state space model of the controlled object; Step 2. Consider non-minimum switching with free terminal states to realize 2D switching at different stages System model, for the normal system, design a linear quadratic two-dimensional iterative learning controller for the intermittent process of the controlled object in the infinite time domain, that is, the optimal controller; step 3, for the new two-dimensional switching system model, find out the system stability conditions and design switching signals. According to different stages and actuator faults, this method designs a corresponding simple, real-time and flexible controller. The controller has certain robustness, thereby improving the control quality, simple design, and small amount of calculation. It not only ensures the optimal control performance of the system, Moreover, the system running time is shortened to realize high-efficiency production.

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 multi-stage intermittent processes. Background technique [0002] In modern industrial production, batch processes are widely used, especially in the food industry, pharmaceutical industry, chemical industry, etc. The study of its control theory has also made a huge breakthrough. However, it is still a challenge in the high-precision control of modern industrial processing. The main reason lies in its high-quality production level requirements, as well as complex and changeable process conditions. Therefore, the probability of system failure also increases. Among these failures, actuator failure is the most common type of failure. Due to the characteristics of friction, dead zone, saturation, etc., the actuator will inevitably have some failures during the execution process, which makes it diffi...

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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