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Coking furnace hearth pressure control method based on state-space predictive functional control optimization

A technology of predictive function control and state space, applied in the field of automation, can solve the problems that cannot be replaced, PID control cannot achieve satisfactory control effect, etc.

Inactive Publication Date: 2015-01-28
HANGZHOU DIANZI UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0002] In actual industrial control, due to the limitation of cost and hardware, although some advanced control methods have been applied to a certain extent, they still cannot replace the traditional PID control.
Coking furnace furnace pressure control is a large time-delay, nonlinear process, the traditional PID control can not achieve satisfactory control effect

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  • Coking furnace hearth pressure control method based on state-space predictive functional control optimization
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  • Coking furnace hearth pressure control method based on state-space predictive functional control optimization

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Embodiment Construction

[0067] The present invention is further described below by taking the coking furnace pressure process control as an example. In the coking furnace pressure control process, the adjustment means is to adjust the opening degree of the flue baffle.

[0068] The specific steps of the coking furnace furnace pressure control method optimized by state space prediction function control are as follows:

[0069] Step 1. Establish an extended non-minimized state space model of the controlled object. The specific steps are:

[0070] 1.1. By collecting the real-time input and output data of the controlled object, the least squares method is used to establish a model, the form is as follows:

[0071] y L (k)=Ψ T θ, θ=[S 1 ,-L 1 ,S 2 ,-L 2 ,...,S n ,-L n ] T

[0072] Ψ=[u(k-1),y(k-1),...,u(k-n),y(k-n)] T

[0073] where y L (k) represents the output value of the prediction model at time k, y(k) represents the output value of the furnace pressure object in the pressure process at ...

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Abstract

The invention discloses a coking furnace hearth pressure control method based on state-space predictive functional control optimization. In industrial control, traditional PID control cannot achieve a satisfactory control effect. In the invention, first, a state-space model of a coking furnace pressure object is established based on real-time input and output data of the coking furnace pressure object, and then, an extended non-minimized state-space model is established based on the state process and output error. On the basis of the model, the parameters of a PID controller are optimized by the method of predictive functional control, and PID control on a controlled object is realized. The coking furnace hearth pressure control method of the invention has both good control performance of ENMSSPFC and the simple form of PID control.

Description

technical field [0001] The invention belongs to the field of automation technology, and relates to a proportional-integral-derivative (PID) control method for coking furnace furnace pressure optimized based on extended non-minimized state space prediction function control (ENMSSPFC). Background technique [0002] In actual industrial control, due to the constraints of cost and hardware, some advanced control methods have been applied to a certain extent, but they still cannot replace traditional PID control. Coking furnace furnace pressure control is a large time-delay and nonlinear process, and traditional PID control cannot achieve satisfactory control results. Control based on extended non-minimized state space prediction function has better control performance than PID control in coking furnace furnace pressure control. If the control performance of ENMSSPFC can be given to PID control, it can not only ensure the simple form of the control structure, but also obtain Bet...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G05D16/00G05B13/04
Inventor 薛安克邹琴张日东王建中刘俊
Owner HANGZHOU DIANZI UNIV