- Title
- New state observer gain tuning methodology based on the stable margin theory
- Creator
- Ogawa, Kenji; Ohnishi, Kouhei; Ibrahim, Yousef
- Date
- 2017
- Type
- Text; Conference proceedings; Conference paper
- Identifier
- http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/157605
- Identifier
- vital:11655
- Identifier
-
https://doi.org/10.1109/ICIT.2017.7915440
- Identifier
- ISBN:978-1-50905320-9
- Abstract
- This paper proposes a new observer gain tuning methodology to achieve a robust position control. The state observer is often used to estimate the state of the system. Generally, the observer gain is tuned by an evaluation function and the operator needs to arbitrarily select a weight function to obtain an optimal observer gain. This paper introduces a methodology for observer gain tuning using the stability margin theory. In addition, the state observer is combined with the Disturbance Observer (DOB) to achieve a robust position control. The validity of the proposed methodology was tested and confirmed by simulations and experimental study. © 2017 IEEE.; Proceedings of the IEEE International Conference on Industrial Technology
- Publisher
- Institute of Electrical and Electronics Engineers Inc.
- Relation
- 2017 IEEE International Conference on Industrial Technology, ICIT 2017; Toronto, Canada; 23rd-25th March 2017 p. 677-682
- Rights
- Copyright © 2017 IEEE.
- Rights
- This metadata is freely available under a CCO license
- Subject
- State estimation; Disturbance observer; Evaluation function; Margin theory; Optimal observers; Robust position control; Stability margins; State observer; Weight functions; Position control
- Reviewed
- Hits: 1230
- Visitors: 1149
- Downloads: 1
| Thumbnail | File | Description | Size | Format |
|---|