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Model Predictive Control for Trajectory Tracking of Unmanned Aerial Vehicles Using Robot Operating System

  • Mina Kamel
  • Thomas Stastny
  • Kostas Alexis
  • Roland Siegwart
Chapter
Part of the Studies in Computational Intelligence book series (SCI, volume 707)

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.

Keywords

Model Predictive Control Trajectory Tracking Prediction Horizon Recede Horizon Control Nonlinear Model Predictive Control 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  • Mina Kamel
    • 1
  • Thomas Stastny
    • 1
  • Kostas Alexis
    • 2
  • Roland Siegwart
    • 1
  1. 1.Autonomous System LabETH ZurichZurichSwitzerland
  2. 2.University of NevadaRenoUSA

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