Title :
Mixed Integer Quadratic Program trajectory generation for a quadrotor with a cable-suspended payload
Author :
Sarah Tang ; Kumar, Vijay
Author_Institution :
Dept. of Mech. Eng. & Appl. Mech., Univ. of Pennsylvania, Philadelphia, PA, USA
Abstract :
In this paper, we present a trajectory planning method to navigate a quadrotor with a cable-suspended payload through known obstacle-filled environments. We model the system as a hybrid dynamical system and formulate the trajectory generation problem as a Mixed Integer Quadratic Program (MIQP). Specifically, we address two novel challenges. First, we plan for a multi-body system, and obstacle avoidance must be guaranteed for the quadrotor, load, and the cable. Second, our method accommodates transitions between subsystems of the hybrid dynamical system, allowing for maneuvers that would otherwise be infeasible if the cable were constrained to remain taut. Numerical and experimental results validate the proposed approach for the full hybrid system.
Keywords :
autonomous aerial vehicles; collision avoidance; continuous systems; discrete systems; integer programming; quadratic programming; trajectory control; MIQP; cable-suspended payload; hybrid dynamical system; mixed integer quadratic program trajectory generation; multibody system; obstacle avoidance; quadrotor; trajectory planning method; unmanned aerial vehicles; Collision avoidance; Load modeling; Optimization; Payloads; Planning; Projectiles; Trajectory;
Conference_Titel :
Robotics and Automation (ICRA), 2015 IEEE International Conference on
Conference_Location :
Seattle, WA
DOI :
10.1109/ICRA.2015.7139492