Decoupling control system of chemial double input and double output producing pocess

Abstract

It is a sort of chemical dual input and dual output decoupling control system. It makes up of decoupling controller matrix, evidential based model of controlled process, and two signal mixers. It makes use of deviation signal as feedback regulated information of system output response, the deviation signal is from output of evidential based model of controlled process and output of real process, it minus system given input value, the answer is used as input signal of decoupling controller matrix, after it is operated by decoupling controller matrix, the control output signal is sent to input adjusting device of controlled process, thus achieve the end of asymptotical tracking system's set point inputs signal and restrains load interference signal. This control system enable to maintain stability of robust, and fit in with the modeling error of actual controlled process and perturbations of procedural parameter in greater extensiveness.

Description

technical field [0001] The present invention relates to a decoupling control system for the double-input and double-output production process of the chemical industry. It is a novel solution based on the optimal control theory and the robust internal model control theory for the double-input and double-output production process of the chemical industry. A coupling control system belongs to the technical field of industrial process control. Background technique [0002] The dual-input and dual-output process is the most common multivariable process in chemical production, and for the convenience of operation and control, many high-dimensional multivariable processes are usually decomposed into several subsystems with dual input and output for processing in practice. Due to the coupling effect between the two control channels, most of the developed single-variable control methods are difficult to apply to the dual-input and dual-output process, and the resulting system output ...

AI Technical Summary

Problems solved by technology

Its main disadvantage is that it does not consider the coupling effect in the dynamic response stage of the control system, so the control quality is still not high

Some scholars propose to use the inverse matrix of the transfer function matrix of the controlled process as a dynamic decoupler, set it at the dual input of the controlled process, and then for the diagonalized process transfer function matrix obtained by this augmentation, According to the

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