抄録
This paper presents the method of searching optimized PID controller's coefficients for Buck converter using PSO-particle swarm optimization. Recently, PSO, which can be used for parameter optimization, becomes attractive because its computation simplicity relative to other evolutionary algorithms such as GA. A problem is that PID controller's coefficients found with PSO may be not suitable which causes large overshoot and bad robustness. This paper proposed a method to solve this problem by improving the ratio of the proportion term through changing evolution conditions. According to the experimental results, the proposed method is feasible and the effect is good.
| 元の言語 | English |
|---|---|
| ホスト出版物のタイトル | Proceedings of the International Conference on Power Electronics and Drive Systems |
| ページ | 238-243 |
| ページ数 | 6 |
| DOI | |
| 出版物ステータス | Published - 2013 |
| イベント | 2013 IEEE 10th International Conference on Power Electronics and Drive Systems, PEDS 2013 - Kitakyushu 継続期間: 2013 4 22 → 2013 4 25 |
Other
| Other | 2013 IEEE 10th International Conference on Power Electronics and Drive Systems, PEDS 2013 |
|---|---|
| 市 | Kitakyushu |
| 期間 | 13/4/22 → 13/4/25 |
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ASJC Scopus subject areas
- Electrical and Electronic Engineering
これを引用
A method of searching PID controller's optimized coefficients for Buck converter using particle swarm optimization. / Li, Xutao; Chen, Minjie; Tsutomu, Yoshihara.
Proceedings of the International Conference on Power Electronics and Drive Systems. 2013. p. 238-243 6527021.研究成果: Conference contribution
}
TY - GEN
T1 - A method of searching PID controller's optimized coefficients for Buck converter using particle swarm optimization
AU - Li, Xutao
AU - Chen, Minjie
AU - Tsutomu, Yoshihara
PY - 2013
Y1 - 2013
N2 - This paper presents the method of searching optimized PID controller's coefficients for Buck converter using PSO-particle swarm optimization. Recently, PSO, which can be used for parameter optimization, becomes attractive because its computation simplicity relative to other evolutionary algorithms such as GA. A problem is that PID controller's coefficients found with PSO may be not suitable which causes large overshoot and bad robustness. This paper proposed a method to solve this problem by improving the ratio of the proportion term through changing evolution conditions. According to the experimental results, the proposed method is feasible and the effect is good.
AB - This paper presents the method of searching optimized PID controller's coefficients for Buck converter using PSO-particle swarm optimization. Recently, PSO, which can be used for parameter optimization, becomes attractive because its computation simplicity relative to other evolutionary algorithms such as GA. A problem is that PID controller's coefficients found with PSO may be not suitable which causes large overshoot and bad robustness. This paper proposed a method to solve this problem by improving the ratio of the proportion term through changing evolution conditions. According to the experimental results, the proposed method is feasible and the effect is good.
KW - digital control
KW - overshoot
KW - PID
KW - PSO
KW - robustness
UR - http://www.scopus.com/inward/record.url?scp=84880726628&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84880726628&partnerID=8YFLogxK
U2 - 10.1109/PEDS.2013.6527021
DO - 10.1109/PEDS.2013.6527021
M3 - Conference contribution
AN - SCOPUS:84880726628
SN - 9781467317900
SP - 238
EP - 243
BT - Proceedings of the International Conference on Power Electronics and Drive Systems
ER -