Non-linear prediction control system and method in internal thermal coupling distillation process
A nonlinear prediction and internal thermal coupling technology, applied in the direction of electrical program control, comprehensive factory control, comprehensive factory control, etc., can solve problems such as unsatisfactory control quality and poor control effect
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Embodiment 1
[0065] refer to figure 1 , figure 2 , a nonlinear predictive control system for an internal heat-coupled rectification process, including an on-site intelligent instrument 2 and a DCS system directly connected to an internal heat-coupled rectification tower 1, and the DCS system includes a storage device 4, a control station 5 and an upper Machine 5, field intelligent instrument 2 is connected with data interface 3, and described data interface 3 is connected with field bus, and described field bus is connected with storage device 4, control station 5 and upper computer 6; Described upper computer 6 includes for Rolling optimization solution control law, output nonlinear predictive controller of control variable value, described nonlinear predictive controller includes component inference module 9, model parameter self-adaptive correction module 10, control law rolling optimization solution module 11;
[0066] The component inference module 9 is used to obtain temperature an...
Embodiment 2
[0091] refer to figure 1 and figure 2 , a kind of nonlinear predictive control method of internal thermal coupling rectification process, described control method comprises the following steps:
[0092] 1) Determine the sampling period T, and compare the T value, the relative volatility α, the stripping section pressure P s , the Anthony constants a, b, c are stored in the historical database;
[0093] 2) Set the weighting coefficient K of the control law objective function according to the control requirements and object characteristics 1 , K 2 , the predicted time-domain length t n (t 0 =0) The concentration setting value of light components in the liquid phase at the top and bottom of the tower X 1 * , X n * , and store the set value in the historical database
[0094] 3) Obtain the pressure P of the rectification section at k sampling time from the smart instrument r Pressure in the stripping section P s , and each tray temperature T i , to calculate the conc...
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