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

Volume

2

fYear

2010

fDate

13-14 March 2010

Firstpage

337

Lastpage

340

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/ICMTMA.2010.593

Filename

5459895