Abstract
A fuzzy-clustering-based genetic algorithm (FC-GA) is presented to build a genetic algorithm-based fuzzy pulse-pump controller (GA-FPPC) for achieving fuzzy control-based phase/frequency-locked servomechanism (FC-PFLS). A weighted integral absolute error (WIAE) is presented as the objective function of FC-GA for optimizing the locking behavior of the genetic algorithm-based FC-PFLS (GFC-PFLS). A mixed elitist and fuzzy clustering selection strategy is proposed to achieve high diversity of the FC-GA. A tuning strategy by FC-GA can minimize the overshoot and fast the locking performance of the GFC-PFLS. A design example of two-dimensional X-Y mode GFC-PFLS is realized. Simulation and experiment are conducted to assess the system performance, which is close to the theoretical prediction.
| Original language | English |
|---|---|
| Pages | 81-86 |
| Number of pages | 6 |
| Publication status | Published - 1998 Jan 1 |
| Event | Proceedings of the 1998 24th Annual Conference of the IEEE Industrial Electronics Society, IECON. Part 4 (of 4) - Aachen, Ger Duration: 1998 Aug 31 → 1998 Sep 4 |
Other
| Other | Proceedings of the 1998 24th Annual Conference of the IEEE Industrial Electronics Society, IECON. Part 4 (of 4) |
|---|---|
| City | Aachen, Ger |
| Period | 98-08-31 → 98-09-04 |
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All Science Journal Classification (ASJC) codes
- Control and Systems Engineering
- Electrical and Electronic Engineering
Cite this
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Genetic algorithm-based fuzzy pulse-pump controller for phase/frequency-locked servomechanism. / Hsieh, G. C.; Lee, H. M.; Chen, Liang-Rui; Penth, Y. J.
1998. 81-86 Paper presented at Proceedings of the 1998 24th Annual Conference of the IEEE Industrial Electronics Society, IECON. Part 4 (of 4), Aachen, Ger, .Research output: Contribution to conference › Paper
TY - CONF
T1 - Genetic algorithm-based fuzzy pulse-pump controller for phase/frequency-locked servomechanism
AU - Hsieh, G. C.
AU - Lee, H. M.
AU - Chen, Liang-Rui
AU - Penth, Y. J.
PY - 1998/1/1
Y1 - 1998/1/1
N2 - A fuzzy-clustering-based genetic algorithm (FC-GA) is presented to build a genetic algorithm-based fuzzy pulse-pump controller (GA-FPPC) for achieving fuzzy control-based phase/frequency-locked servomechanism (FC-PFLS). A weighted integral absolute error (WIAE) is presented as the objective function of FC-GA for optimizing the locking behavior of the genetic algorithm-based FC-PFLS (GFC-PFLS). A mixed elitist and fuzzy clustering selection strategy is proposed to achieve high diversity of the FC-GA. A tuning strategy by FC-GA can minimize the overshoot and fast the locking performance of the GFC-PFLS. A design example of two-dimensional X-Y mode GFC-PFLS is realized. Simulation and experiment are conducted to assess the system performance, which is close to the theoretical prediction.
AB - A fuzzy-clustering-based genetic algorithm (FC-GA) is presented to build a genetic algorithm-based fuzzy pulse-pump controller (GA-FPPC) for achieving fuzzy control-based phase/frequency-locked servomechanism (FC-PFLS). A weighted integral absolute error (WIAE) is presented as the objective function of FC-GA for optimizing the locking behavior of the genetic algorithm-based FC-PFLS (GFC-PFLS). A mixed elitist and fuzzy clustering selection strategy is proposed to achieve high diversity of the FC-GA. A tuning strategy by FC-GA can minimize the overshoot and fast the locking performance of the GFC-PFLS. A design example of two-dimensional X-Y mode GFC-PFLS is realized. Simulation and experiment are conducted to assess the system performance, which is close to the theoretical prediction.
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M3 - Paper
AN - SCOPUS:0032299366
SP - 81
EP - 86
ER -