The existing burner performance optimization system neglects the measurement
of single pulverized coal particle temperature in the combustion process, so
the temperature control error is large, which leads to poor performance
improvement of burner and poor control of residual oxygen. Therefore, a
burner performance optimization system based on laser machining is designed.
Design the overall frame of burner performance optimization. The performance
optimization of the burner is mainly realized by the control of temperature
and oxygen content. The gas quantity is calculated and fed back to the PID
controller through the error value and the rate of temperature difference
between the actual temperature and the set temperature. Based on the Hencken
plane flame burner, an optical measur?ing system for single pulverized coal
particle ignition based on laser processing is established to obtain the
temperature of the particles. Based on this, the Proteus-based burner
transient temperature distribution subsystem and the steady-state ANN
model-based temperature control optimization algorithm are designed. The
experimental results show that the burner of the system can control the
residual oxygen very well, and the temperature control result of the system
is highly fit with the simulation result, so the temperature control
precision of the system is high.