This paper studies the trajectory tracking problem for the nonlinear model of a scooter and presents a robust 11,0 controller based on measurements of the tracking errors, the roll angle, the yaw angle and the steering angle. The study first introduces the full nonlinear model developed in Autosim which has 12 degrees of freedom. This is far more complex than a simple bicycle model and provides a good description of the scooter. Then a robust IT, controller based on the linearization of the nonlinear model is designed. Finally, the effectiveness of the controller is verified by means of two case studies. (C) 2017, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.

Jiang, J., Evangelou, S.a., Torquil, M.r., Astolfi, A. (2017). Robust H∞Control for Autonomous Scooters. In 20th IFAC World Congress (pp.297-302). ELSEVIER SCIENCE BV [10.1016/j.ifacol.2017.08.049].

Robust H∞Control for Autonomous Scooters

Astolfi A.
2017-01-01

Abstract

This paper studies the trajectory tracking problem for the nonlinear model of a scooter and presents a robust 11,0 controller based on measurements of the tracking errors, the roll angle, the yaw angle and the steering angle. The study first introduces the full nonlinear model developed in Autosim which has 12 degrees of freedom. This is far more complex than a simple bicycle model and provides a good description of the scooter. Then a robust IT, controller based on the linearization of the nonlinear model is designed. Finally, the effectiveness of the controller is verified by means of two case studies. (C) 2017, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.
20th IFAC World Congress
Amsterdam
2017
Rilevanza internazionale
2017
Settore ING-INF/04 - AUTOMATICA
English
Motorcycle; Nonlinear Dynamics; Auto-driving; Trajectory Tracking; Robust Control
Intervento a convegno
Jiang, J., Evangelou, S.a., Torquil, M.r., Astolfi, A. (2017). Robust H∞Control for Autonomous Scooters. In 20th IFAC World Congress (pp.297-302). ELSEVIER SCIENCE BV [10.1016/j.ifacol.2017.08.049].
Jiang, J; Evangelou, Sa; Torquil, Mr; Astolfi, A
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2108/200681
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