Passivity-exploiting stabilization of semilinear single-track vehicle models with distributed tire friction dynamics
Luigi Romano, Ole Morten Aamo, Miroslav Krstić, Jan Åslund, Erik Frisk
TL;DR
This work tackles local stabilization of a semilinear single-track vehicle model with distributed tire friction, formulating the dynamics as an ODE-PDE interconnection between a 2D rigid-body system and two semilinear bristle PDEs. A passivity-exploiting backstepping design leverages the PDE subsystem's dissipativity to achieve exponential stabilization around a prescribed equilibrium $(X^\star,z^\star)$, yielding both state-feedback and output-feedback controllers via a cascaded observer. The authors provide constructive proofs based on Lyapunov functionals that couple lumped and distributed states, establish local well-posedness and exponential convergence, and validate the approach through simulations under disturbances and uncertainties. Results indicate effective stabilization of oversteer at high speeds and robustness to measurement noise and delays, highlighting the method's potential for enhancing automotive safety and performance in real-world tire-road interactions.
Abstract
This paper addresses the local stabilization problem for semilinear single-track vehicle models with distributed tire friction dynamics, represented as interconnections of ordinary differential equations (ODEs) and hyperbolic partial differential equations (PDEs). A passivity-exploiting backstepping design is presented, which leverages the strict dissipativity properties of the PDE subsystem to achieve exponential stabilization of the considered ODE-PDE interconnection around a prescribed equilibrium. Sufficient conditions for local well-posedness and exponential convergence are derived by constructing a Lyapunov functional combining the lumped and distributed states. Both state-feedback and output-feedback controllers are synthesized, the latter relying on a cascaded observer. The theoretical results are corroborated with numerical simulations, considering non-ideal scenarios and accounting for external disturbances and uncertainties. Simulation results confirm that the proposed control strategy can effectively and robustly stabilize oversteer vehicles at high speeds, demonstrating the relevance of the approach for improving the safety and performance in automotive applications.
