Abstract: Aiming at the problems of serious chattering and slow control speed of traditional sliding-mode observers, the ant colony algorithm is used to optimize the sliding mode observation controller. In order to improve the search speed and the global optimal solution optimizing ability of ant colony algorithm, the chaos idea is combined with ant colony algorithm. And the improved chaotic ant colony algorithm is used to optimize the gain of the sliding-mode observer to advance dynamic response characteristics and speed estimation accuracy of IPMSM(Interior Permanent Magnet Synchronous Motor) speed control system. Finally, the method proposed is verified by simulation. The simulation results show that this speed control system has faster response speed, lower speed estimation error and better steady-state accuracy in speed control. The effectiveness of this method is fully demonstrated.

Key words: speed control, interior permanent magnet synchronous motor (IPMSM), sliding-mode observer, chaotic ant colony algorithm