Multivariable prediction control PID control method for oil-refining heating furnace pressure
A technology of predictive control and control method, applied in the field of automation
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[0085] Take the furnace pressure process control of oil refining heating furnace as an example:
[0086] In the furnace pressure control process of the oil refining heating furnace, the adjustment means is to adjust the opening of the flue baffle.
[0087] Step 1, establish the extended non-minimum state space model of the controlled object, the specific steps are:
[0088] 1.1 By collecting the real-time input and output data of the controlled object, the multi-input and multi-output system model is established by using the least square method. The form is as follows:
[0089] Y(k+1)+L 1 Y(k)+L 2 Y(k-1)+...+L n Y(k-n+1)=S 1 U(k)+S 2 U(k-1)+...+S n U(k-n+1)
[0090] Among them, Y(k) represents the q-dimensional output value of the prediction system model at time k, U(k) represents the p-dimensional input at time k, and L 1 , L 2 ,...,L n is the scalar coefficient to be identified, S 1 ,S 2 ,...,S n is the q×p matrix to be identified.
[0091] Y ...
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