Abstract
This paper describes a feasible auto-tuning method of a novel DC brushless servo drive system which introduces fuzzy-algorithms based controller. This is basically considered as an advanced technique to adjust two gains of PI compensator under the principle of providing on the basis of additional reference generator, observer and fuzzy-reasoning controller with a general-purpose speed control loop including PI regulator. It is possible to vary the gains so as to be an optimum level through repeating 10 responses or more step responses in relation to variations of load inertia and mechanical vibration in addition to control characteristic fluctuations. It's proved that a novel DC brushless servo drive motion system can be automatically tuned so as to provide an optimum response if it is a completely unstable state on the basis of the experimental results.
| Original language | English |
|---|---|
| Title of host publication | International IEEE/IAS Conference on Industrial Automation and Control: Emerging Technologies, Proceedings |
| Publisher | IEEE |
| Pages | 208-212 |
| Number of pages | 5 |
| Publication status | Published - 1995 |
| Externally published | Yes |
| Event | Proceedings of the 1995 International IEEE/IAS Conference on Industrial Automation and Control: Emerging Technologies - Taipei, Taiwan Duration: May 22 1995 → May 27 1995 |
Other
| Other | Proceedings of the 1995 International IEEE/IAS Conference on Industrial Automation and Control: Emerging Technologies |
|---|---|
| City | Taipei, Taiwan |
| Period | 5/22/95 → 5/27/95 |
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ASJC Scopus subject areas
- Engineering(all)
Cite this
DC brushless servo drive system controlled by fuzzy-logic based auto-tuning implementation. / Inoue, K.; Izumi, T.; Hiraki, Eiji; Nakaoka, M.
International IEEE/IAS Conference on Industrial Automation and Control: Emerging Technologies, Proceedings. IEEE, 1995. p. 208-212.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - DC brushless servo drive system controlled by fuzzy-logic based auto-tuning implementation
AU - Inoue, K.
AU - Izumi, T.
AU - Hiraki, Eiji
AU - Nakaoka, M.
PY - 1995
Y1 - 1995
N2 - This paper describes a feasible auto-tuning method of a novel DC brushless servo drive system which introduces fuzzy-algorithms based controller. This is basically considered as an advanced technique to adjust two gains of PI compensator under the principle of providing on the basis of additional reference generator, observer and fuzzy-reasoning controller with a general-purpose speed control loop including PI regulator. It is possible to vary the gains so as to be an optimum level through repeating 10 responses or more step responses in relation to variations of load inertia and mechanical vibration in addition to control characteristic fluctuations. It's proved that a novel DC brushless servo drive motion system can be automatically tuned so as to provide an optimum response if it is a completely unstable state on the basis of the experimental results.
AB - This paper describes a feasible auto-tuning method of a novel DC brushless servo drive system which introduces fuzzy-algorithms based controller. This is basically considered as an advanced technique to adjust two gains of PI compensator under the principle of providing on the basis of additional reference generator, observer and fuzzy-reasoning controller with a general-purpose speed control loop including PI regulator. It is possible to vary the gains so as to be an optimum level through repeating 10 responses or more step responses in relation to variations of load inertia and mechanical vibration in addition to control characteristic fluctuations. It's proved that a novel DC brushless servo drive motion system can be automatically tuned so as to provide an optimum response if it is a completely unstable state on the basis of the experimental results.
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UR - http://www.scopus.com/inward/citedby.url?scp=0029542415&partnerID=8YFLogxK
M3 - Conference contribution
SP - 208
EP - 212
BT - International IEEE/IAS Conference on Industrial Automation and Control: Emerging Technologies, Proceedings
PB - IEEE
ER -