TY - GEN
T1 - Integration of Divide-and-Conquer Algorithm with Fractional Order Controllers for the Efficient Dynamic Modeling and Control of Multibody Systems
AU - Dabiri, Arman
AU - Poursina, Mohammad
AU - Butcher, Eric
N1 - Publisher Copyright:
© 2018 AACC.
PY - 2018/8/9
Y1 - 2018/8/9
N2 - This paper presents a novel computationally efficient framework for the modeling and control of fully-actuated multibody systems. In this scheme, fractional-order computed-torque control laws are integrated with the generalized divide and conquer algorithm. The proposed framework has superior features such as high performance in modeling and controlling, an easy implementation, a stable convergence characteristic, and a significantly improved computational efficiency. To validate and show the advantages of the presented technique, it is applied to the trajectory tracking of a triple pendulum, and the results are compared to the ones given by the linear-quadratic regulator computed-torque control law.
AB - This paper presents a novel computationally efficient framework for the modeling and control of fully-actuated multibody systems. In this scheme, fractional-order computed-torque control laws are integrated with the generalized divide and conquer algorithm. The proposed framework has superior features such as high performance in modeling and controlling, an easy implementation, a stable convergence characteristic, and a significantly improved computational efficiency. To validate and show the advantages of the presented technique, it is applied to the trajectory tracking of a triple pendulum, and the results are compared to the ones given by the linear-quadratic regulator computed-torque control law.
UR - http://www.scopus.com/inward/record.url?scp=85052552536&partnerID=8YFLogxK
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U2 - 10.23919/ACC.2018.8431882
DO - 10.23919/ACC.2018.8431882
M3 - Conference contribution
AN - SCOPUS:85052552536
SN - 9781538654286
T3 - Proceedings of the American Control Conference
SP - 4201
EP - 4206
BT - 2018 Annual American Control Conference, ACC 2018
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2018 Annual American Control Conference, ACC 2018
Y2 - 27 June 2018 through 29 June 2018
ER -