DSP based BLDC motor controller design with auto tuning PSO-PID algorithm

In this study, particle swarm optimization (PSO) was used to search for the optimal controller gain in a proportional integral derivative (PID) controller for brushless direct current motor (BLDCM) systems. The proposed device uses the easyDSP-F2812 powered by a TI TMS320F2812 digital signal process...

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Published in2015 IEEE/SICE International Symposium on System Integration (SII) pp. 766 - 770
Main Authors Guan-Yan Chen, Jau-Woei Perng, Li-Shan Ma
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.12.2015
Subjects
Conferences
Decision support systems
Digital signal processing
PD control
Power electronics
System integration
Tuning
Online AccessGet full text
DOI10.1109/SII.2015.7405076

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Abstract In this study, particle swarm optimization (PSO) was used to search for the optimal controller gain in a proportional integral derivative (PID) controller for brushless direct current motor (BLDCM) systems. The proposed device uses the easyDSP-F2812 powered by a TI TMS320F2812 digital signal processor (DSP). We also describe how the PSO-PID method was developed. Several experiments results using an easyDSP-F2812 revealed that the time response of the BLDCM system with proposed control method in conjunction with the PSO-PID algorithm is superior to that achieved using the conventional PID algorithm.
AbstractList In this study, particle swarm optimization (PSO) was used to search for the optimal controller gain in a proportional integral derivative (PID) controller for brushless direct current motor (BLDCM) systems. The proposed device uses the easyDSP-F2812 powered by a TI TMS320F2812 digital signal processor (DSP). We also describe how the PSO-PID method was developed. Several experiments results using an easyDSP-F2812 revealed that the time response of the BLDCM system with proposed control method in conjunction with the PSO-PID algorithm is superior to that achieved using the conventional PID algorithm.
Author Guan-Yan Chen
Li-Shan Ma
Jau-Woei Perng
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  surname: Jau-Woei Perng
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  surname: Li-Shan Ma
  fullname: Li-Shan Ma
  email: malishi@ctu.edu.tw
  organization: Dept. of Electron. Eng., Chienkuo Technol. Univ., Changhua, Taiwan
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Snippet In this study, particle swarm optimization (PSO) was used to search for the optimal controller gain in a proportional integral derivative (PID) controller for...
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SubjectTerms Conferences
Decision support systems
Digital signal processing
PD control
Power electronics
System integration
Tuning
Title DSP based BLDC motor controller design with auto tuning PSO-PID algorithm
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