Speed control of brushless DC motor using human-simulated intelligent control
作者： Zushu Li , Hao Yang
DOI: 10.1109/ICIMA.2009.5156604
关键词: Control system 、 Automatic control 、 Intelligent control 、 Engineering 、 Control engineering 、 DC motor 、 PID controller 、 Control theory 、 Electronic speed control 、 Fuzzy control system 、 Open-loop controller
摘要: A double-loop control system based on humansimulated intelligent (HSIC) is designed using a mathematical model of brushless direct current motor. The includes PI controller and an HSIC speed controller, parameters are set optimized improved genetic algorithm. In the motor system, characteristic model-based multi-mode adopted for loop conventional implemented loop. design method its algorithm presented. Compared with subject to fuzzy control, neural-network adaptive PID simulation results show HSIC-based has high dynamic static performances as well adaptability robustness.
sci-hub.se 参考文章(7)
Hoang Le-Huy, Modeling and simulation of electrical drives using MATLAB/Simulink and Power System Blockset conference of the industrial electronics society. ,vol. 3, pp. 1603- 1611 ,(2001) , 10.1109/IECON.2001.975530
Rene Zwahlen, Timothy Chang, Feedforward Speed Control of Brushless DC Motors with Input Shaping conference of the industrial electronics society. pp. 1169- 1174 ,(2007) , 10.1109/IECON.2007.4460167
Junhyuk Choi, Chang-Woo Park, Sehyun Rhyu, Hagyeong Sung, Development and control of BLDC Motor using fuzzy models robotics, automation and mechatronics. ,vol. 2, pp. 1180- 1185 ,(2004) , 10.1109/RAMECH.2004.1438088
Xiao Ben-xian, The Simulating on Neural-net based Controller of BLDCM Acta Simulata Systematica Sinica. ,(2003)
Cao Guang-yi, Design of BLDC Fuzzy Servo Control System Computer Simulation. ,(2007)
Jiang Jian-guo, A novel fuzzy PI intelligent control method of BLDCM speed servo system Electric Machines and Control. ,(2003)
Yao We, The BLDCM Control based on Adaptive Fuzzy-PI Self-regulating Modern Machinery. ,(2007)