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Case studies on U state space control system design for quadrotor model

Narayan, Pritesh; Liu, Xin; Zhu, Quanmin; Narayan, Pritesh Praneet

Authors

Pritesh Narayan

Xin Liu

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Quan Zhu Quan.Zhu@uwe.ac.uk
Professor in Control Systems



Abstract

© 2016 University of MEDEA, Algeria. In this study, U-state space design is proposed to develop control systems for a standard multi-input multi-output (MIMO) quadrotor model. The desired closed loop matrix is optimally designed by the linear quadratic regulator (LQR). Then the controller output can be obtained by solving the related state equations. The standard quadrotor model is linearized about the trimmed equilibrium point and all the state variables can be measured by the sensors or estimated from related values. In the case study, a typical quadcopter linearized model is selected to demonstrate the proposed approach. The numerical simulation is performed to show the effectiveness of the designed control system.

Citation

Narayan, P., Liu, X., Zhu, Q., & Narayan, P. P. (2017). Case studies on U state space control system design for quadrotor model. In 2016 8th International Conference on Modelling, Identification and Control (ICMIC). , (857-862). https://doi.org/10.1109/ICMIC.2016.7804234

Conference Name Proceedings of 2016 8th International Conference on Modelling, Identification and Control, ICMIC 2016
Conference Location Algiers, Algeria
Start Date Nov 15, 2016
End Date Nov 17, 2016
Acceptance Date Apr 1, 2016
Publication Date Jan 3, 2017
Deposit Date Jan 23, 2017
Peer Reviewed Peer Reviewed
Pages 857-862
Book Title 2016 8th International Conference on Modelling, Identification and Control (ICMIC)
ISBN 9780956715777
DOI https://doi.org/10.1109/ICMIC.2016.7804234
Keywords U-model design approach, linear state space design, MIMO system, LQR design, quadrotor control systems
Public URL https://uwe-repository.worktribe.com/output/900254
Publisher URL http://dx.doi.org/10.1109/ICMIC.2016.7804234
Additional Information Title of Conference or Conference Proceedings : International Conference of Modelling, Identification and Control