The invention discloses an optimization control method and
system for an ultra-large fan intelligent
speed regulator, and relates to the technical field of fan
intelligent control, and the method comprises the steps: obtaining the current operation environment parameters of a fan, including but not limited to a
wind speed signal, a motor input current, a
voltage, a
power factor, a rotating speed, an environment temperature and
atmospheric pressure; monitoring whether the
wind speed fluctuation amplitude exceeds a set threshold or not in a continuous sampling period; judging whether the current
system enters a critical
hysteresis zone state or not, wherein the critical
hysteresis zone state is a working condition when the
wind speed data of the sensor does not have stability and fan output has current fluctuation abnormity and a
differential pressure rapid change trend; when the
system enters a critical
hysteresis zone state, the collected wind speed
signal is paused as a speed regulation basis, an
air volume estimation model based on current,
voltage, rotating speed, temperature,
humidity and air pressure is constructed, and equivalent
air volume is output as a pseudo feedback
signal; the problem that the fan speed regulation accuracy and the
system stability are reduced in the
plateau low-pressure environment is solved.