Constrained rolling time-domain hybrid 2d tracking control method for intermittent processes

Abstract

The present invention relates to an advanced 2D tracking control design method, in particular to a limited rolling time-domain hybrid 2D tracking control method for an intermittent process, comprising the following steps: Step 1, establishing a state-space model of an equivalent 2D intermittent process; Step 2 1. Design a limited rolling time-domain hybrid 2D tracking controller; step 3, according to the performance indicators of different stages, design optimal controllers and switching signals in different stages to obtain switching conditions and running time in different stages; step 4, stability analysis , according to the stability theory of 2D system Lyapunov function and the average dwell time method, the condition of system stability is obtained and the switching signal satisfying the system stability is designed. The method proposed by the invention is simple and easy to implement, and the running time of the system is obviously shortened, thereby improving the production efficiency, and has the characteristics of real-time update, fast tracking and good control performance.

Description

technical field [0001] The invention relates to an advanced 2D tracking control design method, in particular to a limited rolling time-domain hybrid 2D tracking control method for intermittent processes, which is a design method for injection molding process controllers. Background technique [0002] As far as the current stage is concerned, our country is the largest manufacturing country in the world, but most of the product processing is concentrated in the low-end market. One of the main reasons for this phenomenon is that the production and processing equipment has low technical content and high energy consumption. Therefore, it is very important to design a more efficient energy-saving controller without changing the original equipment. The most important thing in controller design is the algorithm, so a new algorithm is designed to achieve multi-stage high-precision Control is key. The currently used system is for single-stage high-precision, while the batch process...

AI Technical Summary

Problems solved by technology

[0003] In addition, most of the control technologies for batch processes are one-dimensional, and only consider the influence of time on the production process. Due to the complex environment in the actual working conditions, the control performance of the control system will decrease after a period of operation

At present, for the repeatability and two-dimensional characteristics of the intermittent process, feedback combined with iterative learning control method has been paid attention to, but under the influence of disturbance and other factors, the current robust iterative learning reliable control cannot solve the problem of system state deviation, that is, to The same control law is used throughout, and the deviation of the system will increase over time

This will have a negative impact on the continuous and stable operation and control performance of the system, and even endanger the quality of the product

Although some controllers can be adjusted, the switching time and running time cannot accurately achieve the expected effect

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