Abstract
The commercial small Unmanned Aerial Vehicle (UAV) quadrotor is very sensitive to perturbation due to its relatively small size and because of being an under-actuated system. In general, some non-modeled parameters, wind disturbance, sensor noise and miscellaneous uncertainties cannot be easily quantified in UAV quadrotor systems. Changes of mass and inertia parameters for pick and place operations add more uncertainties to the system. Traditional controllers might not be robust enough to handle all aforementioned perturbation types. This arises the need of some perturbation compensation for guidance and stability. In this article, the complete system is synthesized as a combination of Hierarchical Perturbation Compensator (HPC) and a Sliding Mode Controller (SMC). With this compensation system, better tracking performance is demonstrated through analysis and simulation. The simulation response shows enhanced performance compared with other conventional methods.
| Original language | English |
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| Title of host publication | CIVEMSA 2018 - 2018 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications, Proceedings |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| ISBN (Print) | 9781538646182 |
| DOIs | |
| State | Published - 17 Aug 2018 |
| Externally published | Yes |
| Event | 23rd Annual IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications, CIVEMSA 2018 - Ottawa, Canada Duration: 12 Jun 2018 → 13 Jun 2018 |
Publication series
| Name | CIVEMSA 2018 - 2018 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications, Proceedings |
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Conference
| Conference | 23rd Annual IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications, CIVEMSA 2018 |
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| Country/Territory | Canada |
| City | Ottawa |
| Period | 12/06/18 → 13/06/18 |
Bibliographical note
Publisher Copyright:© 2018 IEEE.
Keywords
- Feed-forward Perturbation Compensation
- Feedback Perturbation Compensation
- Hierarchical Perturbation Compensation
- Quadrotor
- Sliding Mode Control
- UAV
ASJC Scopus subject areas
- Artificial Intelligence
- Computer Science Applications
- Media Technology
- Instrumentation