The application discloses a
new energy battery
coating post-
drying multivariable model predictive
control system APC The
control system performs real-time optimization control and rolling update according to the calling period. Specifically, the
control system performs prediction and optimization calculation based on a model according to the set values of the return air
valve opening, the exhaust fan frequency and the external circulating fan frequency of the last calling period, the NMP concentration measurement value at the
current time, the oven
pressure measurement value, the target value of the NMP concentration and the measurable external disturbance change data, and outputs the optimal sequence of the set values of the return air
valve opening, the exhaust fan frequency and the external circulating fan frequency of the next period. Finally, the output values of the first time of all input variables in the optimal sequence are written back to the related actuators of the
drying system, and the closed-
loop control is completed. The application realizes real-time
online optimization of the post-
coating drying process based on the predicted dynamic optimization control under the premise of guaranteeing the stability of the
system and the non-exceeding of the toxic
solvent NMP concentration, and realizes
energy consumption reduction while guaranteeing the collaborative and stable operation of the multiple ovens.