Abstract : The present work deals with the trajectory tracking for an unmanned motorcycle using observer-based-controller design. The non-linear parameter varying system used for the development is converted to a Takagi-Sugeno (TS) fuzzy system. The design of the observer-based controller is based on the Lyapunov approach and the Linear Ma-trix Inequality (LMI) formulation. Suffi-cient conditions are derived to prove the Input to State Stability (ISS) property and trajectory error conver-gence of the closed-loop system. We sug-gest ensuring a best profile tracking of the PTW in terms of roll preview (trajectory) for large range of longitudinal velocities. To improve the time response of the con-troller, a predictive generator is inserted.. Finally, simulation results are provided to confirm the suitability of the proposed technique.
https://hal.archives-ouvertes.fr/hal-00873997
Contributor : Hichem Arioui <>
Submitted on : Wednesday, October 16, 2013 - 9:43:18 PM Last modification on : Tuesday, June 30, 2020 - 11:56:08 AM Long-term archiving on: : Friday, January 17, 2014 - 4:43:22 AM
Habib Dabladji, Dalil Ichalal, Hichem Arioui, Said Mammar. Roll Angle Observer-Based Controller Design for Powered Two-Wheelers. Symposium on the Dynamics and Control of Single Track Vehicles, Nov 2013, Narashino, Japan. pp.80 - 86. ⟨hal-00873997⟩