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Model prediction tracking control method in batch chemical engineering

A chemical process and model prediction technology, applied in the field of automation, can solve problems such as low device efficiency, high product specifications and quality, and unsatisfactory control accuracy and stability, so as to improve accuracy, improve control stability, improve tracking performance and The effect of anti-interference

Active Publication Date: 2017-09-15
HANGZHOU DIANZI UNIV +2
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Problems solved by technology

For example, iterative learning control method, robust iterative learning control method, batch process control method combining model predictive control and iterative learning control, etc., but due to cost and quality constraints, simple process control methods have been unable to meet the control accuracy and stability. Due to the low product qualification rate and low device efficiency, the requirements for developing from conventional control to complex control, advanced control and other advanced stages have been formed.
In order to solve the problems of unknown factor disturbance and higher product specification and quality in batch process control, and further improve the control performance of batch process, it is necessary to propose a new model predictive tracking control method

Method used

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  • Model prediction tracking control method in batch chemical engineering
  • Model prediction tracking control method in batch chemical engineering
  • Model prediction tracking control method in batch chemical engineering

Examples

Experimental program
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Effect test

Embodiment Construction

[0078] Take the injection molding process as an example:

[0079] Here we take the pressure-holding control in the injection molding process as an example to describe, and the adjustment method is to control the valve opening of the proportional valve.

[0080] Step 1. Establish the input and output model of the pressure holding control, the specific method is:

[0081] 1.1 First collect the input and output data of the pressure-holding control process, and use the data to establish the model of the pressure-holding control process, in the form as follows:

[0082] A(q t -1 )y(t,k)=B(q t -1 )u(t,k)

[0083] A(q t -1 )=1+H 1 q t -1 +H 2 q t -2 +…+H m q t -m

[0084] B(q t -1 ) = L 1 q t -1 +L 2 q t -2 +…+L n q t -n

[0085] Where t and k are the discrete time and cycle index respectively, y(t,k) and u(t,k) are the holding pressure control pressure and valve opening at time t in the k cycle, q t -1 ...q t -m ,q t -1 ...q t -n They are operato...

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Abstract

The invention discloses a model prediction tracking control method in batch chemical engineering. According to the invention, the method introduces an improved state space model to the model prediction control and iterative learning control method so as to increase the control properties in batch manufacturing. Different from traditional state space models, the method herein, in the state model structure in the proposed method, introduces the dynamic combination between a process state variable and output tracking errors, and uses the improved process model. By using the improved technical solution, the method can obtain controllers which have more freedom to regulate control properties, and can achieve better controlling effects.

Description

technical field [0001] The invention belongs to the technical field of automation, and relates to a model prediction tracking control method for a batch chemical process. Background technique [0002] In actual industrial production, the batch process repeats the same process operation, and the product specification and quality it produces have a decisive impact on the market value of the product. With the competition in the market, the requirements for product specification, quality and operation accuracy are getting higher and higher. The higher it gets, the more complicated the process becomes. In order to meet the increasing product quality requirements, a series of control methods have emerged in the batch process. For example, iterative learning control method, robust iterative learning control method, batch process control method combining model predictive control and iterative learning control, etc., but due to cost and quality constraints, simple process control me...

Claims

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Application Information

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IPC IPC(8): G05B23/02
CPCG05B23/0243G05B2219/24065
Inventor 张日东靳其兵张建明
Owner HANGZHOU DIANZI UNIV
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