The invention provides a two-phase
hybrid stepping motor sensorless
load angle estimation and locked-rotor detection method, and relates to the technical field of
motor control. Firstly, phase
voltage and phase current of a motor are collected, a continuous and smooth
counter electromotive force signal is obtained by constructing a super-spiral sliding-mode observer, and a self-adaptive strategy of resistance parameter online compensation and sliding-mode coefficient online adjustment is introduced to improve robustness of the sliding-mode observer. And then, extracting a back
electromotive force phase angle by using an orthogonal phase-locked loop based on an extended
state observer, and calculating a
load angle by combining the phase of the
stator reference current. And finally, the
load angle is compared with a multi-stage early warning threshold value, and real-time monitoring of the
motor load and
rapid detection of out-of-step and locked-rotor faults are realized. According to the method, the hardware dependence of traditional load angle calculation and locked-rotor detection on a
position sensor is eliminated, meanwhile, the problems of high-frequency differential
noise, filtering phase
lag and the like in a sensorless
algorithm are effectively solved, and high-precision load angle
estimation and locked-rotor detection are achieved.