Trajectory generation for quadrotor based systems using numerical optimal control
Authors:
Open Access
- 1 May 2016
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- p. 2958-2964
Abstract
The recent work on quadrotor have focused on more and more challenging tasks with increasingly complex systems. Systems are often augmented with slung loads, inverted pendulums or arms, and accomplish complex tasks such as going through a window, grasping, throwing and catching. Usually, controllers are designed to accomplish a specific task on a specific system using analytic solutions, so each application needs long preparations. On the other hand, the direct multiple shooting approach is able to solve complex problems without any analytic development, by using off-the-shelf optimization solver. In this paper, we show that this approach is able to solve a wide range of problems relevant to quadrotor systems, from on-line trajectory generation for quadrotors to going through a window for a quadrotor-and-pendulum system, through manipulation tasks for a aerial manipulator.Keywords
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This publication has 15 references indexed in Scilit:
- Towards model-predictive control for aerial pick-and-place2015
- Quadrocopter pole acrobatics2013
- Avian-Inspired Grasping for Quadrotor Micro UAVs2013
- Control of quadrotor aerial vehicles equipped with a robotic arm2013
- Learning swing-free trajectories for UAVs with a suspended load2013
- Control of an aerial robot with multi-link arm for assembly tasks2013
- A reinforcement learning approach towards autonomous suspended load manipulation using aerial robots2013
- Synthesis and stabilization of complex behaviors through online trajectory optimization2012
- Autonomous indoor aerial gripping using a quadrotor2011
- Fast Direct Multiple Shooting Algorithms for Optimal Robot Control2007