@inproceedings{52fc174cd9ae4f6ca81b334de6b5d042,
title = "DSP based BLDC motor controller design with auto tuning PSO-PID algorithm",
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.",
author = "Chen, {Guan Yan} and Perng, {Jau Woei} and Ma, {Li Shan}",
note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; 8th Annual IEEE/SICE International Symposium on System Integration, SII 2015 ; Conference date: 11-12-2015 Through 13-12-2015",
year = "2016",
month = feb,
day = "10",
doi = "10.1109/SII.2015.7405076",
language = "English",
series = "2015 IEEE/SICE International Symposium on System Integration, SII 2015",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "766--770",
booktitle = "2015 IEEE/SICE International Symposium on System Integration, SII 2015",
address = "美國",
}