Rolling time domain tracking control method for batch injection molding process

A tracking control, rolling time domain technology, applied in the field of automation, can solve problems such as difficulty in improving controller performance, reducing economic benefits and interference of predictive control systems, and achieve good control effects, improving tracking performance and anti-interference effects.

Active Publication Date: 2016-02-24
HANGZHOU DIANZI UNIV
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  • Abstract
  • Description
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  • 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...

Method used

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  • Rolling time domain tracking control method for batch injection molding process
  • Rolling time domain tracking control method for batch injection molding process
  • Rolling time domain tracking control method for batch injection molding process

Examples

Experimental program
Comparison scheme
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Embodiment Construction

[0051] Take the injection speed control in the batch injection molding process as an example:

[0052] 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.

[0053] Step 1. Establish a state-space model of injection velocity, the specific method is:

[0054] 1.1 First collect the input and output data of the batch injection molding process, and use the data to establish the model of the batch injection molding process in the form as follows

[0055] A(z -1 )y(z)=B(z -1 )u(z)

[0056] A(z -1 )=1+L 1 z -1 +L 2 z -2 +…+L n z -n

[0057] B(z -1 )=S 1 z -1 +S 2 z -2 +…+S m z -m

[0058] where y(z), u(z) are the output and input z transformations of the batch process, respectively, and S, L are the polynomials A(z -1 ), B(z -1 ), m and n are the corresponding coefficients in A(z -1 ), B(z -1 ) of the largest order.

[0059] 1.2 Further proces...

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Abstract

The invention discloses a rolling time domain tracking control method for a batch injection molding process. The method comprises the steps: building an input and output model by collecting input and output data, selecting an appropriate state variable to build a state space model, further converting the state space model into an expansion state space model containing output and tracking errors, then selecting a performance index containing terminal state, and solving an optimal control law according to a Riccati equation and a boundary condition. Different from a conventional state space model, the novel model of the method takes both a state variable and a tracking error into consideration. On the basis of the newly-designed model, a controller is more flexible to adjust by increasing an adjustable weight coefficient, and then a system can have the better control performance.

Description

technical field [0001] The invention belongs to the technical field of automation and relates to a rolling time-domain tracking control method for 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...

Claims

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Application Information

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IPC IPC(8): G05B13/04
Inventor 汪大卫张日东
Owner HANGZHOU DIANZI UNIV
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