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Control method for state compensation model during batch processing

A technology of model control and state control, applied in the field of automation, to achieve the effect of improving control performance and overall performance

Active Publication Date: 2018-01-05
HANGZHOU DIANZI UNIV +1
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  • Description
  • Claims
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Problems solved by technology

Although there are already these control strategies, due to the uncertainty in the indus

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  • Control method for state compensation model during batch processing
  • Control method for state compensation model during batch processing
  • Control method for state compensation model during batch processing

Examples

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Embodiment Construction

[0067] Take the batch injection molding process as an example: the batch injection molding process is a typical periodic process, and the product quality of the injection molding process is guaranteed by controlling the set value of the holding pressure stage.

[0068] Step 1. Establish a new state control model for the batch injection molding process, the specific steps are

[0069] 1.1 Assume that the simplified single-input single-output system model of the batch injection molding process is

[0070] F(q t -1 )y(t,k)=H(q t -1 )u(t,k)

[0071] Add the time backward difference operator Δ to the above control system t , the system equation becomes

[0072] F(q t -1 )Δ t y(t,k)=H(q t -1 )Δ t u(t,k)

[0073] In the formula, y(t,k) and u(t,k) are the holding pressure and valve opening at time t of the kth cycle. q t -1 is the backward shift operator per unit time, F(q t -1 ), H(q t -1 ) of the form:

[0074] F(q t -1 )=1+f 1 q t -1 +f 2 q t -2 +…+f m...

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Abstract

The invention discloses a control method for a state compensation model during batch processing. According to the method, a new error compensation strategy is introduced in the design of a controller,firstly, a time backward difference operator is added in a traditional control model, a state model is introduced, an appropriate state vector is selected, a tracking error is introduced, and a required control model is obtained at last; then, an appropriate object function is selected, and an optimal control law is obtained at last by adjusting control parameters. The method combines the advantages of strategies of model prediction control and iterative learning control, and the overall performance of a control strategy during batch processing is improved.

Description

technical field [0001] The invention belongs to the technical field of automation and relates to a state compensation model control method of a batch process. Background technique [0002] With the rapid development of the economy, the requirements for the control of the batch process of production products are becoming more and more stringent. Then there are some related control theories and applications. Such as iterative learning control and model predictive control. For iterative learning control, since the control law is a kind of feed-forward control obtained in advance, no feedback is provided in the next cycle, so in practice, this control method inevitably has dynamic disturbances. When the batch control system adopts pure iterative When learning control, its control performance cannot be guaranteed. Model predictive control is also a promising control method, which is used as a controller in control systems by many scholars. Although these control strategies ex...

Claims

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Application Information

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IPC IPC(8): G05B13/04
Inventor 张日东靳其兵
Owner HANGZHOU DIANZI UNIV
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