Optimal Control Method of Batch Reaction Process in Batch Reactor

Abstract

The invention provides an optimization control method in the batch reaction process of a batch reactor. The method includes the following steps of S100, calculating the optimal value track of a control object through a TLBO algorithm according to a received economic optimization index to serve as the reference track of a control layer; S200, ensuring the boundedness of input and output signals of a closed-loop system through a linear generalized predictive controller in the batch reaction process, compensating for a nonlinear term of the system through a nonlinear neural network generalized predictive controller, and selecting the linear generalized predictive controller or the nonlinear neural network generalized predictive controller according to a preset switching performance index at each sampling moment so that the optimal value track obtained in the step S100 can be tracked by a controlled object; S300, restraining and eliminating the influences of disturbance entering the system on output through a bottom layer controller so as to output the value of the control object.

Description

technical field [0001] The invention relates to the field of control optimization of a batch reaction process in a batch reactor, in particular to an optimization control method of a batch reaction process. Background technique [0002] Batch process occupies a very important position in chemical production, and is widely used in the production of high value-added products, such as fine chemical products, polymers, biological products, pharmaceuticals, etc. With the rapid development of biochemical research in the 21st century and the development of related products R&D and production, the batch process will play a greater role. However, due to the characteristics of the batch reaction process itself, such as strong nonlinearity, lack of steady-state operating conditions, and uncertainty in the reaction process, process optimization and control have certain limitations. Therefore, proposing a more effective optimization and control strategy is a crucial link in the batch rea...

AI Technical Summary

Problems solved by technology

Since the operating conditions of the batch process are highly nonlinear, control strategies such as linear model predictive control (MPC) lack the ability to compensate for the nonlinearity and cannot meet the control requirements of the batch reaction process.

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