Abstract
In this chapter, strategies for Model Predictive Control (MPC) design and implementation for Unmaned Aerial Vehicles (UAVs) are discussed. This chapter is divided into two main sections. In the first section, modelling, controller design and implementation of MPC for multi-rotor systems is presented. In the second section, we show modelling and controller design techniques for fixed-wing UAVs. System identification techniques are used to derive an estimate of the system model, while state of the art solvers are employed to solve the optimization problem online. By the end of this chapter, the reader should be able to implement an MPC to achieve trajectory tracking for both multi-rotor systems and fixed-wing UAVs.
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Kamel, M., Stastny, T., Alexis, K., Siegwart, R. (2017). Model Predictive Control for Trajectory Tracking of Unmanned Aerial Vehicles Using Robot Operating System. In: Koubaa, A. (eds) Robot Operating System (ROS). Studies in Computational Intelligence, vol 707. Springer, Cham. https://doi.org/10.1007/978-3-319-54927-9_1
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DOI: https://doi.org/10.1007/978-3-319-54927-9_1
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