Online PID Self-Tuning using an Evolutionary Swarm Algorithm with Experimental Quadrotor Flight Results-Reference-Cited by-同舟云学术

Online PID Self-Tuning using an Evolutionary Swarm Algorithm with Experimental Quadrotor Flight Results

Published:2013-08-15 Issue: Volume: Page:
ISSN:
Container-title:AIAA Guidance, Navigation, and Control (GNC) Conference
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Author:

Ghiglino Pablo¹,Forshaw Jason L.¹,Lappas Vaios J.¹

Affiliation:

1. University of Surrey

Publisher

American Institute of Aeronautics and Astronautics

Link

http://arc.aiaa.org/doi/pdf/10.2514/6.2013-5098

Reference19 articles.

1. Real-time indoor autonomous vehicle test environment

2. 2Bouabdallah, S., Design and Control of Quadrotors with Application to Autonomous Flying, Ph.D. thesis,Ecole Polytechnique Federale De Lausanne,2007.

3. 5Forshaw, J. L. and Lappas, V. J. “Transitional Control Architecture, Methodology, and Robustness for a Twin Helicopter Rotor Tailsitter,” AmericanInstituteofAeronauticsandAstronauticsGuidance,Navigation,andControlConference,Minneapolis,US,August2012.

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