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A Design Method of Stable Controller for Batch Injection Molding Process

A design method and controller technology, applied in the field of automation, can solve the problems of difficulty in improving the performance of the controller, reducing the economic benefits of the predictive control system, and reducing the performance of the predictive controller, achieving good control effects, improving tracking performance and anti-interference. Effect

Active Publication Date: 2017-12-05
HANGZHOU DIANZI UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

If the controller is not repaired in time to improve the control quality, it will reduce the economic benefits that the predictive control system can obtain
At the same time, the actual production process is faced with uncertain factors such as interference, friction, saturation, etc., which will also cause the mismatch of the controlled object model
Model mismatch is a ubiquitous problem in predictive control and is an important reason for the performance degradation of predictive controllers
As a model-based optimal control algorithm, if the mismatch between the prediction model of the model predictive control algorithm and the actual object is serious, it will be difficult to improve the performance of the controller only by tuning the controller parameters.

Method used

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  • A Design Method of Stable Controller for Batch Injection Molding Process
  • A Design Method of Stable Controller for Batch Injection Molding Process
  • A Design Method of Stable Controller for Batch Injection Molding Process

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Experimental program
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Embodiment Construction

[0069] Take the injection speed control in the batch injection molding process as an example:

[0070] The injection speed control in the injection molding process is a typical batch process, and the adjustment method is to control the valve opening of the proportional valve.

[0071] Step 1. Establish a state-space model of injection velocity, the specific method is:

[0072] 1.1 First collect the input and output data of the batch injection molding process, and use the data to establish the actual process model of the batch injection molding process, in the form as follows

[0073] Δy(k+1)+L 1 Δy(k)+L 2 Δy(k-1)+…+L n Δy(k-n+1)=S 1 Δu(k)+S 2 Δu(k-1)+…+S m Δu(k-m+1)

[0074] where Δ is a differential operator, y(k)∈R, u(k)∈R are the injection speed and valve opening of the batch injection process at time k, respectively, S i (i=1,...,m), L j (j=1,...,n) are the model parameters of the input and output respectively, and m and n are the order of the model of the input a...

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Abstract

The invention discloses a design method for a stability controller of a batched injection molding process. The method includes the steps that firstly, an input-output model is established by collecting input-output data; then, a state space model is established by selecting suitable state variables, and is then converted into an extended state space model comprising tracking errors; finally, the controller is designed by selecting performance indexes comprising terminal states. Compared with a traditional state space model, the state variables and the tracking errors are considered in the new model in the method at the same time. On the basis of the new design model, by adding adjustable weighting coefficients, the controller is more flexible to adjust, and it is guaranteed that a system obtains better control performance.

Description

technical field [0001] The invention belongs to the technical field of automation and relates to a design method for a stable controller in a batch injection molding process. Background technique [0002] In actual industrial control, due to factors such as actual working condition drift, process nonlinearity, and system external interference, the control performance of model predictive control systems may decline or even fail after a period of operation. If the controller is not repaired in time to improve the control quality, the economic benefits of the predictive control system will be reduced. At the same time, the actual production process is faced with uncertain factors such as interference, friction, and saturation, which will also cause the mismatch of the controlled object model. Model mismatch is a common problem in predictive control, and it is an important reason for the performance degradation of predictive controllers. As a model-based optimal control algori...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G05B17/02
CPCG05B17/02
Inventor 张日东邹洪波汪大卫
Owner HANGZHOU DIANZI UNIV