This paper deals with lateral dynamics estimation of powered two-wheeled (PTW) vehicles. A linear parameter-varying (LPV) model of the motorcycle is presented and then transformed into a Takagi-Sugeno (TS) form in order to design the observer under the variation of the longitudinal velocity. This paper presents a new way to estimate every motorcycle dynamic states including unknown input (UI) by keeping a simple observer structure with a Luenberger observer in TS form. The observer convergence study is based on the Lyapunov theory associated with LMI tools and L 2 -gain to guaranty boundedness of the state estimation error. The effectiveness of the proposed solution is illustrated for a nominal and an uncertain simulation cases.
['Pierre-Marie Damon', 'Habib Dabladji', 'Dalil Ichalal', 'Lamri Nehaoua', 'Hichem Arioui']
Estimation of lateral motorcycle dynamics and rider action with Luenberger observer