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https://doi.org/10.17559/TV-20150313111238

Modeling and Adaptive Hybrid Fuzzy Control of a Nonlinear Rotor System

Zoltan Sari ; Department of Information Technology, Faculty of Engineering and Information Technology, University of Pécs, H-7624, Pécs, Boszorkány 2., Hungary
Ildiko Jancskar ; Department of Information Technology, Faculty of Engineering and Information Technology, University of Pécs, H-7624, Pécs, Boszorkány 2., Hungary
Adam Schiffer ; Department of Information Technology, Faculty of Engineering and Information Technology, University of Pécs, H-7624, Pécs, Boszorkány 2., Hungary
Geza Varady* ; Department of Information Technology, Faculty of Engineering and Information Technology, University of Pécs, H-7624, Pécs, Boszorkány 2., Hungary

Puni tekst: engleski, pdf (839 KB) str. 1-6 preuzimanja: 153* citiraj
APA 6th Edition
Sari, Z., Jancskar, I., Schiffer, A. i Varady*, G. (2021). Modeling and Adaptive Hybrid Fuzzy Control of a Nonlinear Rotor System. Tehnički vjesnik, 28 (1), 1-6. https://doi.org/10.17559/TV-20150313111238
MLA 8th Edition
Sari, Zoltan, et al. "Modeling and Adaptive Hybrid Fuzzy Control of a Nonlinear Rotor System." Tehnički vjesnik, vol. 28, br. 1, 2021, str. 1-6. https://doi.org/10.17559/TV-20150313111238. Citirano 22.04.2021.
Chicago 17th Edition
Sari, Zoltan, Ildiko Jancskar, Adam Schiffer i Geza Varady*. "Modeling and Adaptive Hybrid Fuzzy Control of a Nonlinear Rotor System." Tehnički vjesnik 28, br. 1 (2021): 1-6. https://doi.org/10.17559/TV-20150313111238
Harvard
Sari, Z., et al. (2021). 'Modeling and Adaptive Hybrid Fuzzy Control of a Nonlinear Rotor System', Tehnički vjesnik, 28(1), str. 1-6. https://doi.org/10.17559/TV-20150313111238
Vancouver
Sari Z, Jancskar I, Schiffer A, Varady* G. Modeling and Adaptive Hybrid Fuzzy Control of a Nonlinear Rotor System. Tehnički vjesnik [Internet]. 2021 [pristupljeno 22.04.2021.];28(1):1-6. https://doi.org/10.17559/TV-20150313111238
IEEE
Z. Sari, I. Jancskar, A. Schiffer i G. Varady*, "Modeling and Adaptive Hybrid Fuzzy Control of a Nonlinear Rotor System", Tehnički vjesnik, vol.28, br. 1, str. 1-6, 2021. [Online]. https://doi.org/10.17559/TV-20150313111238

Sažetak
The paper deals with the hierarchical modeling, simulation and model-based investigation of a nonlinear 1 DOF helicopter model, which is the most important building block of complex multi-rotor systems. The motivation behind the work is the increasing number of multi-rotor drones with various applications in diverse areas like smart cities and smart infrastructures, such as intelligent surveillance, autonomous (or semi-autonomous) flight, automatic object detection and recognition, carrying various payloads (sensors, packages) etc. In order to make these flying robots intelligent, a sophisticated control strategy is required, which is partly based on sensory information provided by the on-board sensors (gyroscope, accelerometer) - recently supported by visual data provided by on-board camera(s) - concerning the low-level feedback control loops. Most of the modern drones are built on an embedded computer, and the first layer of control is usually implemented in the firmware, thus the low level control commands are given per se. For the accomplishment of complex tasks (specific "behavior" of the drone) high level control strategies have to be implemented. In order to make these control loops efficient and robust, model based analysis of the controlled system had been carried out along with the real-life tests of the various control strategies. Since both the structure and the parameter set of the model system can be easily changed, model based study is a very efficient way of experimenting with novel control approaches.

Ključne riječi
fuzzy-control; model-based design; simulation

Hrčak ID: 250689

URI
https://hrcak.srce.hr/250689

Posjeta: 336 *