Human-simulated intelligent control of brushless DC motor system

• Published in: 2009 Chinese Control and Decision Conference pp. 268 - 273
• Main Authors: Yang Hao, Li Zu-shu, Xue Fang-zheng, Luo Gang, Zhong Zao-sheng
• Format: Conference Proceeding
• Language: Chinese; English
• Published: IEEE 01.06.2009
• Subjects: Adaptive control; brushless DC motor; Brushless DC motors; Control system synthesis; DC motors; double-loop control system; Genetic algorithms; human simulated intelligent control; improved genetic algorithm multi-mode control; Intelligent control; Mathematical model; Motor drives; Programmable control; Three-term control
• ISBN: 9781424427222; 1424427223
• ISSN: 1948-9439
• DOI: 10.1109/CCDC.2009.5195094

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