Multivariable deduction, predication and control method for middle-speed coal pulverizer
A technology of predictive control and coal mill, applied in the direction of adaptive control, general control system, control/regulation system, etc., can solve the unstable control of coal mill outlet temperature, affect the operation safety and economy, load response and Issues such as large command delays
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[0088] The technical solution of the present invention will be further introduced below in combination with specific embodiments.
[0089] exist figure 1 Among them, the model predictive control system (MPC) has three controlled quantities, which are the exported coal volume f out , outlet temperature T out and primary air volume F a ; There are 3 control variables U in the system, which are the coal feeder belt speed ω f , cold air valve opening μ c and opening degree of hot air valve μ h . The extended Kalman filter estimator (EKF) is used to estimate the coal output of the pulverizer.
[0090] The multivariable inference predictive control method of the medium-speed coal mill of the present invention comprises the following steps:
[0091] S1: Establish the model of the medium-speed coal mill:
[0092] The primary air volume F of the medium-speed pulverizer a , Coal mill inlet air temperature T a and the instantaneous flow rate F of the coal feeder f They are:
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