2013 International Conference on Unmanned Aircraft Systems (ICUAS) 2013
DOI: 10.1109/icuas.2013.6564782
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Trajectory control of a class of articulated aerial robots

Abstract: This paper studies trajectory control of aerial vehicles equipped with robotic manipulators. The proposed approach employs free-flying multi-body dynamics modeling and backstepping control to develop stabilizing control laws for a general class of underactuated aerial systems. A simulated hexrotor vehicle with a simple manipulator is employed to demonstrate the proposed techniques.

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Cited by 6 publications
(2 citation statements)
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“…Myriad advanced methods, considered quadrotor attitude and altitude control design, have been proposed in literature such as backstepping (Kobilarov (2013(Kobilarov ( ), huo et al (2014, Jasim and Gu (2015)), feedback linearization (Voos (2009), Choi and Ahn (2015)), optimal control (Navabi and Mirzaei (2016)), Suicmez and Kutay (2014)), and robust control (Xiong and Zheng (2014)). This list is, of course, far from being exhaustive.…”
Section: Introductionmentioning
confidence: 99%
“…Myriad advanced methods, considered quadrotor attitude and altitude control design, have been proposed in literature such as backstepping (Kobilarov (2013(Kobilarov ( ), huo et al (2014, Jasim and Gu (2015)), feedback linearization (Voos (2009), Choi and Ahn (2015)), optimal control (Navabi and Mirzaei (2016)), Suicmez and Kutay (2014)), and robust control (Xiong and Zheng (2014)). This list is, of course, far from being exhaustive.…”
Section: Introductionmentioning
confidence: 99%
“…Significant methods for controlling multirotor vehicles have been proposed in the literature in the past, including backstepping [1][2][3][4] and feedback linearization, 5,6 optimal control, and robust control approaches. 7 In addition to these methods, the linear quadratic regulator (LQR) controller method in refs.…”
Section: Introductionmentioning
confidence: 99%