Change search
ReferencesLink to record
Permanent link

Direct link
On-line Trajectory planning for aerial vehicles: a safe approach with guaranteed task completion
KTH, School of Engineering Sciences (SCI), Mathematics (Dept.), Optimization and Systems Theory.
Swedish Defence Research Agency (FOI), Department of Aeronautics .
Swedish Defence Research Agency (FOI).ORCID iD: 0000-0002-7714-928X
2006 (English)In: Collection of Technical Papers: AIAA Guidance, Navigation, and Control Conference 2006, 2006, 914-938 p.Conference paper (Refereed)
Abstract [en]

On-line trajectory optimization in three dimensional space is the main topic of the paper at hand. The high-level framework augments on-line receding horizon control with an off-line computed terminal cost that captures the global characteristics of the environment, as well as any possible mission objectives. The first part of the paper is devoted to the single vehicle case while the second part considers the problem of simultaneous arrival of multiple aerial vehicles. The main contribution of the first part is two-fold. Firstly, by augmenting a so called safety maneuver at the end of the planned trajectory, this paper extends previous results by addressing provable safety properties in a 3 D setting. Secondly, assuming initial feasibility, the planning method presented is shown to have finite time task completion. Moreover, a quantitative comparison between the two competing objectives of optimality and computational tractability is made. Finally, some other key characteristics of the trajectory planner, such as ability to minimize threat exposure and robustness, are highlighted through simulations. As for the simultaneous arrival problem considered in the second part, by using a time-scale separation principle, we are able to adopt standard Laplacian control to a consensus problem which is neither unconstrained, nor first order.

Place, publisher, year, edition, pages
2006. 914-938 p.
Keyword [en]
Aerial vehicles, Computational tractability, Laplacian control
National Category
Computer and Information Science
URN: urn:nbn:se:kth:diva-58920ScopusID: 2-s2.0-33845754489ISBN: 978-156347819-2ISBN: 1563478196OAI: diva2:474397
AIAA, Guidance, Navigation and Control Conference, Keystone, CO, USA
QC 20120117Available from: 2012-01-09 Created: 2012-01-09 Last updated: 2012-01-17Bibliographically approved

Open Access in DiVA

No full text


Search in DiVA

By author/editor
Anisi, DavidRobinson, John W.C.Ögren, Petter
By organisation
Optimization and Systems Theory
Computer and Information Science

Search outside of DiVA

GoogleGoogle Scholar
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

Total: 31 hits
ReferencesLink to record
Permanent link

Direct link