Coordinated Predictive Functional Control Algorithm for Subcritical Units Based on Leading Disturbance Model
A technology of predictive function control and subcritical unit, which is applied to electric controllers, controllers with specific characteristics, etc., can solve the problem that the quality of the coordinated control system needs to be improved, and achieves the stability of pressure, improves the control quality, and alleviates the The effect of coupling
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[0039] The present invention will be further described below in conjunction with the accompanying drawings and specific embodiments.
[0040] 1. Conventional control algorithm with disturbance predictive function
[0041] according to figure 1 , when the external disturbance signal of the control system is measurable, the disturbance model of the system can be determined through experiments. At this time, the system has two models, namely the object model G m1 (s) and perturbation model G m2 (s), assuming that they are all first-order plus delay models, that is:
[0042]
[0043]
[0044] When using a basis function, there are:
[0045] u(k+i)=u(k) i=1,2,...,H-1
[0046] D(k+i)=D(k) i=1,2,...,H-1 (3)
[0047] The predicted output of each model is:
[0048]
[0049] The predictive model output is:
[0050] the y m (k+H)=y m1 (k+H)+y m2 (k+H) (5)
[0051] According to the extreme value of the optimization index, the optimal control law can be obtained as:
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