Simulation and Design of Integral Separation Adaptive Fuzzy Control System for Brushless DC Motor

Author(s):  
Jiang Weirong ◽  
Huang Haibo ◽  
Lan Jianping
2013 ◽  
Vol 274 ◽  
pp. 363-368
Author(s):  
Jia Bin Wen ◽  
Bin Yang

In this paper, the design of BLDCM fuzzy control system for electric vehicle which bases on TMS320F2812 Digital Signal Processor (DSP) is given. The design methods of hardware and software of the control system are described in details. Using of brushless DC motor current and speed double closed loop control, meanwhile, the fuzzy self-tuning PI algorithm is applied in the control system, and achieve the intelligent control of brushless DC motor control system. In this paper, the PWM control of the overlapping commutation method to suppress torque ripple. Experimental results show that this system has such characteristics as sound controlling effects, obvious restrain of torque pulsation and reliable operation.


2010 ◽  
Vol 53 (1-4) ◽  
pp. 71-79 ◽  
Author(s):  
Juho Ratava ◽  
Mikko Rikkonen ◽  
Ville Ryynänen ◽  
Johanna Leppänen ◽  
Tuomo Lindh ◽  
...  

2014 ◽  
Vol 1061-1062 ◽  
pp. 904-907
Author(s):  
Xiang Ping Chen

Considering the production status of red mud at present, an adaptive fuzzy control system, according to fuzzy control and genetic algorithm, has been focused on. With the control of flocculants, the system fuzzy control clarity of clear solution. Adaptive neural network fuzzy inference theory is adopted to establish the mathematical model of controlled object "black box", and MATLAB for simulation, showing that the control method has good accuracy and dynamic control quality. Satisfy the requirements of practice work.


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