This invention relates to the field of
automatic control for
ozone generation, specifically disclosing an optimized
ozone generation control method and
system based on improved fuzzy control. The method includes: acquiring the optical
emission spectrum of the
discharge chamber, extracting the rotational spectrum of
nitrogen molecules, decoupling and calculating the instantaneous temperature of the micro-
discharge channel, and outputting a thermodynamic mismatch coefficient through a first
fuzzy inference; introducing the coefficient into the
pulse power supply and the gas flow field loop respectively, and collaboratively adjusting the
rise time, pulse width, repetition frequency, and turbulent
airflow velocity of the
nanosecond pulse; inputting the coefficient and
oxygen atom spectral lines into a second
fuzzy inference, adjusting the domain and threshold of the main fuzzy controller, and the main controller forming a three-dimensional input vector to output the pulse amplitude adjustment; inputting
historical control data into a third fuzzy mining time-series correlation mode to generate a rule confidence correction factor to feed back and optimize the
fuzzy rule base. This invention achieves micro-
discharge channel
thermal state sensing, multi-timescale collaborative control, and strategy self-evolution, significantly improving
ozone generation efficiency and
electrode lifetime.