A 2D Model Predictive Control Method for Batch Process
A predictive control, two-dimensional model technology, applied in the field of automation, can solve problems such as inability to meet control accuracy and stability, enterprise cost and quality constraints, etc., to improve tracking performance and anti-interference, improve control stability, and improve accuracy. Effect
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[0076] Take the injection molding process as an example:
[0077] Here we take the packaging pressure 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.
[0078] Step 1. Establish a state space model for packaging pressure control, specifically:
[0079] 1.1 First collect the input and output data of the packaging pressure process, and use the data to establish the actual process model of the packaging pressure process, in the form as follows:
[0080] F(q t -1 )y(t,k)=H(q t -1 )u(t,k)
[0081] Among them, t and k are discrete time and cycle index respectively, y(t,k) and u(t,k) are the packaging pressure and valve opening at time t in k cycle, q t -1 is the time-domain unit backward shift operator. F(q t -1 ), H(q t -1 ) is the corresponding polynomial in the form:
[0082] F(q t -1 )=1+f 1 q t -1 +f 2 q t -2 +…+f m q t -m
[0083] H(q t -1 ) = h 1...
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