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

• Published in: 2009 International Conference on Industrial Mechatronics and Automation pp. 236 - 240
• Main Authors: Zushu Li, Hao Yang
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01.05.2009
• Subjects: brushless DC motor; Brushless DC motors; Control system synthesis; Control systems; double-loop control system; Genetic algorithms; human-simulated intelligent control; Humans; improved genetic algorithm; Intelligent control; Mathematical model; Motor drives; multi-mode control; Three-term control; Velocity control
• ISBN: 9781424438174; 1424438179
• DOI: 10.1109/ICIMA.2009.5156604

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.