Title :
Fuzzy-PI Control for BLDCM with the Greater Inertia Load
Author :
Lei Jinli ; Dou Manfeng ; Li Yansheng ; Wang Guangwei
Author_Institution :
Sch. of Autom., Northwestern Polytech. Univ., Xi´an, China
Abstract :
The big inertia torque will be produced, and the speed-adjusting system performance will become bad, when the brushless direct current motor (BLDCM) starts, speeds up and down with the greater inertia load. In order to solve this kind of problem, a fuzzy-PI control scheme combined fuzzy logic strategy and traditional PI control method was presented in this paper, and the simulation experiments of the fuzzy-PI control system and the traditional PI control system were accomplished in Matlab/Simulink. The simulation results show that the dynamic and steady performances of fuzzy-PI control system are better than the traditional PI control system. Adopting fuzzy-PI control algorithm, the control system of motor has perfect control effect: the response time is less than 0.15s, the overshooting is none, and the steady state error is zero, exhibiting good quick responsibility and stability.
Keywords :
brushless DC motors; fuzzy control; stability; velocity control; BLDCM; Matlab; Simulink; brushless direct current motor; fuzzy PI control; fuzzy logic strategy; greater inertia load; motor control system; speed adjusting system; steady state error; Brushless DC motors; Control system synthesis; Control systems; DC motors; Delay; Fuzzy logic; Pi control; Steady-state; System performance; Torque; PI control; brushless direct current motor (BLDCM); fuzzy-PI control; simulation; the greater inertia load;
Conference_Titel :
Measuring Technology and Mechatronics Automation (ICMTMA), 2010 International Conference on
Conference_Location :
Changsha City
Print_ISBN :
978-1-4244-5001-5
Electronic_ISBN :
978-1-4244-5739-7
DOI :
10.1109/ICMTMA.2010.593
