Online aircraft velocity and normal acceleration planning for rough terrain following. (23rd June 2017)
- Record Type:
- Journal Article
- Title:
- Online aircraft velocity and normal acceleration planning for rough terrain following. (23rd June 2017)
- Main Title:
- Online aircraft velocity and normal acceleration planning for rough terrain following
- Authors:
- Kazemifar, Omid
Babaei, Ali-Reza
Mortazavi, Mahdi - Abstract:
- ABSTRACT: This paper attempts to develop an efficient online algorithm for terrain following in completely unknown rough terrain environments while incorporating aircraft dynamics in the guidance strategy. Unlike most existing works, the proposed algorithm does not generate the flight path directly. The algorithm employs acquired information from the vehicle onboard sensors and rapidly issues appropriate Guidance Commands (GCs) at every point along the way. A suitable dynamic model is developed which takes the lags in the vehicle dynamics into account. The flight path forms gradually as a result of applying the GCs to the vehicle dynamics. Terrain-conforming capability afforded by this approach allows for autonomous and safe low-level flight in unknown mountainous areas. It considerably enhances the autonomy level of the vehicle and in the case of manned aircraft could significantly lead to pilot workload reduction. The proposed scheme is proven to be promising for online applications.
- Is Part Of:
- Aeronautical journal. Volume 121:Number 1244(2017)
- Journal:
- Aeronautical journal
- Issue:
- Volume 121:Number 1244(2017)
- Issue Display:
- Volume 121, Issue 1244 (2017)
- Year:
- 2017
- Volume:
- 121
- Issue:
- 1244
- Issue Sort Value:
- 2017-0121-1244-0000
- Page Start:
- 1561
- Page End:
- 1577
- Publication Date:
- 2017-06-23
- Subjects:
- terrain following, -- point mass model, -- manoeuvre curve, -- fuzzy inference
Aeronautics -- Periodicals
629.1305 - Journal URLs:
- http://journals.cambridge.org/action/displayJournal?jid=AER ↗
https://www.cambridge.org/core/journals/aeronautical-journal ↗ - DOI:
- 10.1017/aer.2017.27 ↗
- Languages:
- English
- ISSNs:
- 0001-9240
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD Digital store
- Ingest File:
- 5241.xml