Decoupling control system of chemical of chemical multivariable production process

Abstract

It is a sort of decoupling control system of chemical multivariable procedure, it makes up of nXn dimensional decoupling controller matrix and multiple signal mixers, of which, n is output dimension of multivariable controlled process. It makes use of deviation signal as feedback regulated information of system output response, the deviation signal is from input signal of n dimensional given value of system default point and n dimensional output measuring signal of actual controlled process, after it is operated by decoupling controller matrix, the n dimensional control output signal is sent to n dimensional input adjusting device of controlled process, thereby achieve the objective 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 invention relates to a decoupling control system for a multi-variable production process of a chemical industry. It is a novel proposed method based on the optimal control theory and the robust internal model control theory for the n×n-dimensional multi-input and multi-output production process of the chemical industry. The decoupling control system of the invention belongs to the technical field of industrial process control. Background technique [0002] Multiple-input and multiple-output processes are ubiquitous in chemical production. Due to the coupling effect between the various control channels, it is difficult for most of the developed univariate control methods to be used in multiple-input and multiple-output processes, especially for processes with obvious time delays, the coupling effect between the system outputs is very prominent, It will seriously deteriorate the system output response performance. Therefore, how to implement decoup...

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Problems solved by technology

The advantage of this kind of control system is that the control operation is simple, the economic cost is low, and the independence of each control closed loop is strong, but its main disadvantage is that it does not fundamentally solve the coupling effect between the outputs of each system. The demodulation factor is set in the controller to achieve a compromise between the output response performance of each system and the mutual decoupling response level, thus making the adjustment level of the control system low and the control quality 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 multi-channel input end of the controlled process, and then for the diagonalized process transfer function matrix obtained by this augmentation, According to the design method of the developed multi-loop control system to construct and realize the control system, although the control effect can be significantly improved, the application limitations are very large, and it is not easy to popularize and use. For example, it cannot be used for the transfer function matrix of the controlled process. Inversion is an unstable situation, but this situation exists in large numbers in chemical practice

Recently, the internationally renowned Professor Wang Q.-G. published in the literature "Non-interacting control design for multivariable industrial processes" (non-interacting control design for multivariable industrial processes, published in Journal of Process Control, an international authoritative journal of control science, 2003, 13, 253-265.) by proposing the desired unit feedback control closed-loop transfer function matrix to reversely determine the optimal controller matrix, and then apply the least square method to fit the optimal controller matrix to obtain the linear approximation controller Matrix, referred to as the Wang method, it has achieved the best control effect compared with other existing methods, but the controller matrix design uses a numerical method, which requires a large amount of data calculation, which is not convenient for practical promotion and application and online adjust

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