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Adaptive predictive function control method for nonlinear production process

A control method and nonlinear technology, applied in the field of adaptive predictive function control, can solve the problems of difficult algorithm implementation, difficult control of nonlinear processes, and irregular parameter adjustment.

Inactive Publication Date: 2011-11-30
CHINA PETROLEUM & CHEM CORP +1
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  • Abstract
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  • Claims
  • Application Information

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Problems solved by technology

[0006] The technical problem to be solved by the present invention is that the nonlinear process existing in the prior art is difficult to control, modeling is difficult, algorithm implementation is difficult, parameter adjustment is irregular, etc., and an adaptive predictive function control method for nonlinear production process is provided

Method used

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  • Adaptive predictive function control method for nonlinear production process
  • Adaptive predictive function control method for nonlinear production process
  • Adaptive predictive function control method for nonlinear production process

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Embodiment 1

[0085] use figure 2 In the neutralization reactor, the controlled variable pH value is an important parameter in the reaction process, and the manipulated variable is the amount of acid used for neutralization. Consider the object structure described as:

[0086] x ( k ) = f 1 ( u ( k ) ) = u ( k ) - ( 1.207 + r 1 ) ...

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Abstract

The invention relates to the design of an adaptive predictive function control method for a nonlinear process, which mainly solves the problems in the prior art that the nonlinear process is difficult to control, modeling is difficult, and online calculation is complicated. The present invention adopts online collection of production data, without pre-establishing a predictive model of the controlled object, by constructing a two-degree-of-freedom control input, and utilizing the concept of assembly in economics to build an online self-adaptive algorithm: (1) Establish a two-degree-of-freedom control input: Selecting the control input of the future system consists of two weighted basis functions; (2) establishment of the expected performance index of the future system; (3) derivation of the future forecast output; (4) online adaptive optimization of system parameters; (5) stability of the control system According to the stability analysis of the new control method based on the concept of assembly, scaling theory and predictive control theory, the technical solution of the parameter adjustment method of the control system is obtained, which solves the problem well and can be used in oil refining, chemical industry, pharmaceutical, machinery, etc. , aviation and other nonlinear industrial devices.

Description

technical field [0001] The invention relates to an adaptive predictive function control method of a nonlinear production process. Background technique [0002] Although most of the objects encountered in the actual industrial process are nonlinear, a large number of applications of predictive control algorithms so far are still based on linear model design, the most common ones are based on the application of step response models and impulse response models. These phenomena are mainly because the linear model can be directly identified from the input and output data, and the current application of predictive control is mainly concentrated in the petrochemical industry, and its control goal is to maintain the process in a desired steady state (regulation problem), rather than Rapid changes from one state to another (servo problem). And if the output measurement can be sufficiently accurate, a predictive model built around the operating point is sufficient to guarantee the st...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G05B13/02
Inventor 张彬杨为民吴智勇钱锋
Owner CHINA PETROLEUM & CHEM CORP