Speed control of brushless DC motor using human-simulated intelligent control

A double-loop control system based on human simulated intelligent control (HSIC) is designed using a mathematical model of a brushless direct current motor. The system includes a PI current controller and an HSIC speed controller, and controller parameters are set and optimized using an improved genetic algorithm. In the double-loop motor control system, a characteristic model-based multi-mode controller is adopted for the speed loop and a conventional PI controller is implemented for the current loop. The design method of the controller and its algorithm are presented. Compared with the double-loop motor subject to fuzzy control, neural-network control, adaptive PID control and conventional PID control, simulation results show the double-loop motor control system of the HSIC-based the brushless direct current motor has high dynamic and static performances as well as high adaptability and robustness.