Abstract
This chapter presents an overview on the modeling and model-based control of autonomous helicopters. Firstly it introduces some of the platforms and control architectures that has been developed in the last 15 years. Later, the Chapter considers the modeling of the helicopter and the identification techniques. Then, it overviews different linear and non-linear model-based control approaches. This section also includes experiments on the control of the helicopter vertical motion that illustrate the presented techniques and point out the interest of nonlinear analysis methods to study the dynamic behavior of the helicopter. Finally, the Chapter presents open research lines coming from two challenging applications: the autonomous landing in oscillating platforms and the lifting and transporting of a single load with several helicopters.
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Béjar, M., Ollero, A., Cuesta, F. (2007). Modeling and Control of Autonomous Helicopters. In: Bonivento, C., Marconi, L., Rossi, C., Isidori, A. (eds) Advances in Control Theory and Applications. Lecture Notes in Control and Information Sciences, vol 353. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-70701-1_1
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DOI: https://doi.org/10.1007/978-3-540-70701-1_1
Publisher Name: Springer, Berlin, Heidelberg
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