Robust integrated lateral guidance and control of UAVs

Muhammad Zeeshan Babar, Raza Samar, Aamer Iqbal Bhatti, Marco Baglietto

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Scopus citations

Abstract

In this paper, a novel guidance scheme is presented for UAVs using the Integrated Guidance and Control (IGC) framework. The proposed guidance scheme is derived using H Loop Shaping Design Procedure (LSDP). To recover from an initial cross track error, the proposed guidance algorithm produces such aileron commands that ensure the roll maneuvers without saturating the roll angle. The shaping of the open loop plant is carried out using the pre and post weights and then the robust stabilization is done by using the normalized left coprime factor uncertainty. The performance and robustness of the system are verified by introducing parametric uncertainties in to the system model. The results of the proposed scheme are verified by implementing it on a complete 6-DOF nonlinear model in the presence of wind disturbance. The simulation results indicate the effectiveness and robustness of the proposed guidance algorithm.

Original languageEnglish
Title of host publication2015 20th International Conference on Methods and Models in Automation and Robotics, MMAR 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages523-528
Number of pages6
ISBN (Electronic)9781479987016
DOIs
StatePublished - 29 Sep 2015
Externally publishedYes
Event20th International Conference on Methods and Models in Automation and Robotics, MMAR 2015 - Miedzyzdroje, Poland
Duration: 24 Aug 201527 Aug 2015

Publication series

Name2015 20th International Conference on Methods and Models in Automation and Robotics, MMAR 2015

Conference

Conference20th International Conference on Methods and Models in Automation and Robotics, MMAR 2015
Country/TerritoryPoland
CityMiedzyzdroje
Period24/08/1527/08/15

Bibliographical note

Publisher Copyright:
© 2015 IEEE.

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Control and Systems Engineering

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