Abstract
This paper investigates the observability properties of a mo- bile robot that moves on a planar surface by satisfying the unicycle dynamics and that is equipped with exteroceptive sensors (visual or range sensors). In accordance with the unicycle dynamics, the motion is powered by two indepen- dent controls, which are the linear and the angular speed, respectively. We assume that both these speeds are known. We consider the case when the robot motion is a-ected by a disturbance (or unknown input) that produces an additional (unknown and time dependent) robot speed along a fixed di- rection. The goal of the paper is to obtain the observability properties of the state that characterizes the robot con-gu- ration. The novelty of this observability analysis is that it takes into account the presence of an unknown and time de- pendent disturbance. Previous works that analyzed similar localization problems, either did not consider the presence of disturbances, or assumed disturbances constant in time. In order to deal with an unknown and time dependent dis- turbance, the paper adopts a new analytic tool [18]. This analytic tool is the solution of a fundamental open problem in control theory (the Unknown Input Observability problem in the general nonlinear case). We show that the application of this analytic tool is very simple and can be implemented automatically. Additionally, we simulate the aforementioned system and we show that a simple estimator based on an Ex- tended Kalman Filter provides results that fully agree with what we could expect from the observability analysi
Cite
CITATION STYLE
Martinelli, A. (2017). The Unicycle in Presence of a Single Disturbance: Observability Properties. In Proceedings of the SIAM Conference on Control and Its Applications, CT 2017 (pp. 62–69). Society for Industrial and Applied Mathematics Publications. https://doi.org/10.1137/1.9781611975024.9
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