In order to ensure the stability of brushless DC motor (BLDC) speed control and improve its accuracy and stability, the IVY algorithm (IVY) was improved and applied to the BLDC active disturbance rejection controller (ADRC) strategy based on the BLDC self-immunity magnetic field direction control, due to the difficulty of the ADRC control parameters multi-level rectification, the randomness and uniformity of initialization in the pre-rectification period with the IVY optimization algorithm affected the convergence speed and convergence accuracy of the algorithm, It was prone to falling into the local optimal solution in the late iteration, resulting in poor convergence accuracy, a Circle chaotic map was introduced to the population. During the ivy growth stage, probabilistic conversion Levy flight strategy was used to increase the possibility of search. During the expansion stage, adaptive weight Cauchy variation was utilized to prevent the late fall into the local convergence. Finally, function optimization tests and simulation comparison experiments were conducted. The results show that the proposed improved ivy algorithm-active disturbance rejection control (IIVY-ADRC) strategy has faster response speed, higher control accuracy and better anti-interference capability.