Glass furnace air-fuel ratio adjustment method based on variable universe fuzzy rule iterative learning
A glass kiln, theoretical air-fuel ratio technology, applied in control/regulation systems, instruments, adaptive control, etc., can solve problems such as combustion efficiency, energy consumption, exhaust gas emissions, and adverse effects on glass product quality
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[0073] The dispatching method of the present invention relies on the relevant data acquisition system, and is realized by a modeling client and a modeling server. The schematic diagram of the hardware and software architecture of the present invention applied in the actual glass furnace is as follows: figure 1 As shown, the embodiments of the present invention are as follows.
[0074] Step (1): Initialize, set the following basic variables
[0075] Set the problem variables:
[0076] x 1 (t): natural gas flow rate at time t
[0077] x 2 (t): Combustion air flow at time t
[0078] y(t): Oxygen content of flue gas at time t
[0079] [y min ,y max ]: Range of flue gas oxygen content setting value
[0080] △C: Air-fuel ratio adjustment amount
[0081] C: actual air-fuel ratio
[0082] CT: theoretical air-fuel ratio
[0083] CGas: Calorific value of natural gas
[0084] Step (2): Data Acquisition
[0085] Collect one or more production shifts including the above natur...
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