Abstract: We proposed an intelligent hybrid controller based on traditional PI and adaptive fuzzy PID (proportion integration differentiation) to improve the speed tracking and dynamic adaptability of brushless direct current motor. The controller switched flexibly between the steadystate PI controller and the transient adaptive fuzzy PID controller according to the speed error through the switching function. The adaptive fuzzy PID controller included two levels of fuzzy logic controllers, the firstlevel fuzzy logic controller adaptively adjusted the PID gain, and the secondlevel fuzzy logic controller automatically adjusted the scale factor of the firstlevel fuzzy logic controller. The simulation tests were carried out in
the MATLAB/Simulink environment. The test results show that compared with traditional PID and fuzzy PID controllers, the speed response, steadystate error and overshoot/undershoot of the intelligent hybrid controller under various conditions are greatly improved,
 indicating that it has better robustness, antiinterference and dynamic adaptability.

Key words:  , brushless direct current motor, intelligent hybrid controller, adaptive fuzzy PID