A predictor-based attitude and position estimation for rigid bodies moving in planar space by using delayed landmark measurements. Issue 6 (18th April 2016)
- Record Type:
- Journal Article
- Title:
- A predictor-based attitude and position estimation for rigid bodies moving in planar space by using delayed landmark measurements. Issue 6 (18th April 2016)
- Main Title:
- A predictor-based attitude and position estimation for rigid bodies moving in planar space by using delayed landmark measurements
- Authors:
- Senejohnny, Danial
Namvar, Mehrzad - Abstract:
- SUMMARY: This paper proposes a globally and exponentially convergent predictive observer for attitude and position estimation based on landmark measurements and velocity (angular and linear) readings. It is assumed that landmark measurements are available with time-delay. The maximum value of the sensor delay under which the estimation error converges to zero is calculated. Synthesis of the observer is based on a representation of rigid-body kinematics and sensor delay, formulated via ordinary and partial differential equations (ODE-PDE). Observability condition specifies necessary and sufficient landmark configuration for convergence of attitude and position estimation error to zero. Finally, for implementation purposes, a PDE-free realization of the predictive observer is proposed. Simulation results are presented to demonstrate performance and convergence properties of the predictive observer in case of a wheeled mobile robot.
- Is Part Of:
- Robotica. Volume 35:Issue 6(2017)
- Journal:
- Robotica
- Issue:
- Volume 35:Issue 6(2017)
- Issue Display:
- Volume 35, Issue 6 (2017)
- Year:
- 2017
- Volume:
- 35
- Issue:
- 6
- Issue Sort Value:
- 2017-0035-0006-0000
- Page Start:
- 1415
- Page End:
- 1430
- Publication Date:
- 2016-04-18
- Subjects:
- Attitude estimation, -- Time delay, -- Landmark, -- Satellite, -- Predictor observer
Robots -- Periodicals
629.89205 - Journal URLs:
- http://journals.cambridge.org/action/displayJournal?jid=ROB ↗
- DOI:
- 10.1017/S0263574716000187 ↗
- Languages:
- English
- ISSNs:
- 0263-5747
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library STI - ELD Digital store
- Ingest File:
- 1074.xml