Brushless DC Motor Speed Control System Based on Fuzzy PID Control

Yi Hui Zhang; Le Peng Song

doi:10.4028/www.scientific.net/AMR.989-994.3172

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 989-994Brushless DC Motor Speed Control System Based on...

Brushless DC Motor Speed Control System Based on Fuzzy PID Control

Abstract:

Brushless DC mo tor speed control system is a multivariate, strong coupling, non linear, time-varying complex system, but adopting traditional PID control method to carry ou t control is difficult to achieve good control effect A kind of PID controller with fuzzy algorithm setting on-line PID parameters automatically was designed and applied in brush less DC motor speed control system, using the voltage , speed and torque equation of brush less DC motor, according to the parameters of the mo tor, the controler adopts fuzzy theory to adjust the PID parameters, in order to obtain high-precision speed control Results of simulation experiment show that the fuzzy PID control method compared with normal PID control is with better control performance, non overshoot quick velocity response, higher control precision and good rubustness, which is insensitive to the parameter chattering and many disturbances.

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Periodical:

Advanced Materials Research (Volumes 989-994)

Pages:

3172-3176

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.989-994.3172

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Online since:

July 2014

Authors:

Yi Hui Zhang*, Le Peng Song

Keywords:

Brushless Dc Motor (BLDCM), Fuzzy Control, Fuzzy PID Control, MATLAB/Simulink Simulation

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* - Corresponding Author

References

[1] LI Bin，TANG Yong-zhe．Appl ication of Fuzzy PID Algorithms in Brushless DC Motor system[J] ．Micromotors，2006，(2)：14-15.

Google Scholar

[2] QU Yi，NING Duo，LIU Fei-hang，GUO Fei-fei．Design of Fuzzy-PID Controller Its Simulation[J]. Computer Simulation，2009，26(12)：133-132.

Google Scholar

[3] WANG Ling，LIU Wei-guo．Simulation of BLDCM Speed Control System Based on Fuzzy-PI Control Method[J]．Computer Simulation，2009，26(10)：186-189.

Google Scholar

[4] LI Jun-hong，LI Lan-jun，YANG Wu-jiao．Neural Adaptive Sliding Model Variable Structure Control for Brushless DC motor Speed Systems[J]．Microcomputer Information，2010(2)：68-70.

Google Scholar

[5] LI Guo-yong．Intelligent Control and its MATLAB Implementation[J]．Beijing Publishing House of electronics industry，2005，27(4)：252-260.

Google Scholar

[6] FENG Tian-lin，TANG Xiao-qun，TIAN Song．Study on Proportional Control Valve for Air Flow[J]．Petro-Chemical Equipment，2008，37(2)：20-22.

Google Scholar