Industrial process dynamic optimization system and method based on nonlinear conjugate gradient method
A conjugate gradient method, industrial process technology, applied in the direction of total factory control, total factory control, electrical program control, etc., can solve difficult problems such as accuracy and high efficiency requirements
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Embodiment 1
[0113] refer to figure 1 , figure 2 , an industrial process dynamic optimization system based on the nonlinear conjugate gradient method, including a field smart instrument 2 connected to an industrial process object 1, a DCS system and a host computer 6, and the DCS system consists of a data interface 3 and an operating station 4 , database 5; the field smart instrument 2 is connected to the communication network, the communication network is connected to the data interface 3, the data interface 3 is connected to the field bus, and the field bus is connected to the operation station 4, the database 5 and the upper computer 6 , the host computer includes:
[0114] The constraint processing module 8 is used to process the control variable boundary constraints in the optimization process, and adopts the following conversion equation:
[0115] u(t)=0.5(u max -u min )×{sin[w(t)]+1}+u min (1)
[0116] will be bounded by u min ≤u(t)≤u max The control variable u(t) is tr...
Embodiment 2
[0163] refer to figure 1 and figure 2 , a dynamic optimization of an industrial process based on a nonlinear conjugate gradient method, the dynamic optimization method is implemented according to the following steps:
[0164] 1) Specify the dynamically optimized state variables and control variables in the DCS system, and set the upper and lower boundaries u of the control variables according to the conditions of the actual production environment and operating restrictions max , u min and the sampling period of the DCS, and the historical data of the corresponding variables in the DCS database 5, the upper and lower boundary values of the control variables u max , u min Send it to the host computer 6.
[0165] 2) In the constraint processing module 8 of the upper computer, the control variable u(t) constrained by the boundary is converted unconstrainedly through trigonometric function substitution, and replaced by the functional expression of the intermediate variable w...
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