TY - GEN
T1 - Stabilization and Optimal Trajectory Generation for a Compact Aerial Manipulation System with a Delta-type Parallel Robot
AU - Haberfeld, Gabriel Barsi
AU - Sun, Donglei
AU - Hovakimyan, Naira
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2018/8/31
Y1 - 2018/8/31
N2 - This paper presents the design, modeling, and control of a quadcopter equipped with a Delta-type parallel manipulator. Such systems present demanding challenges in both control theory and task planning, which are addressed with novel mechanical features, modern flight controllers, and optimal trajectory generation. They are primarily designed for versatile indoor pick-and-place tasks where the characteristics of the proposed solution introduce useful kinematic properties. We explore these traits to address critical deficiencies found in previous approaches. First, we introduce and discuss the mechanical design of the coupled system. Second, we derive the kinematic and dynamic relationships between all bodies. Third, we develop the flight controller, where the baseline, feedforward, and adaptive components are combined and used in unison with an optimal trajectory generation algorithm. Finally, we present simulation results which reflect the feasibility of the concepts.
AB - This paper presents the design, modeling, and control of a quadcopter equipped with a Delta-type parallel manipulator. Such systems present demanding challenges in both control theory and task planning, which are addressed with novel mechanical features, modern flight controllers, and optimal trajectory generation. They are primarily designed for versatile indoor pick-and-place tasks where the characteristics of the proposed solution introduce useful kinematic properties. We explore these traits to address critical deficiencies found in previous approaches. First, we introduce and discuss the mechanical design of the coupled system. Second, we derive the kinematic and dynamic relationships between all bodies. Third, we develop the flight controller, where the baseline, feedforward, and adaptive components are combined and used in unison with an optimal trajectory generation algorithm. Finally, we present simulation results which reflect the feasibility of the concepts.
UR - http://www.scopus.com/inward/record.url?scp=85053941441&partnerID=8YFLogxK
U2 - 10.1109/ICUAS.2018.8453444
DO - 10.1109/ICUAS.2018.8453444
M3 - Conference contribution
AN - SCOPUS:85053941441
SN - 9781538613535
T3 - 2018 International Conference on Unmanned Aircraft Systems, ICUAS 2018
SP - 1091
EP - 1100
BT - 2018 International Conference on Unmanned Aircraft Systems, ICUAS 2018
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2018 International Conference on Unmanned Aircraft Systems, ICUAS 2018
Y2 - 12 June 2018 through 15 June 2018
ER -