A Boiler Combustion Optimization Control Method
A boiler combustion and optimization control technology, applied in the optimal operation of power plant boiler combustion system, in the field of power plant boiler combustion optimization control of online incremental learning fuzzy neural network, can solve the difficult problem of nonlinear rolling optimization and other problems, and achieve The effect of less tuning parameters, solving large delay characteristics, and strong generalization ability
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[0041] Below in conjunction with accompanying drawing, further illustrate the present invention, it should be understood that these embodiments are only used to illustrate the present invention and are not intended to limit the scope of the present invention, after having read the present invention, those skilled in the art will understand the various equivalent forms of the present invention All modifications fall within the scope defined by the appended claims of this application.
[0042] The invention provides an online incremental learning fuzzy neural network power plant boiler combustion optimization control method. By sampling the boiler combustion nonlinear system in real time, the online incremental learning fuzzy neural network is used to train the real-time sampling data to establish boiler combustion. The data-driven model is optimized, and the boiler combustion optimization model is optimized and controlled using a nonlinear model predictive control (MPC) algorith...
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