A model predictive controller for optimal braking of a road vehicle is proposed. Taking into account the additional information provided by a torque sensor located in the wheel, there is no need to use any longitudinal model of the vehicle. Instead, we detail a way to identify a tire/road characteristic. This on-line reconstruction is based on an estimation of the longitudinal wheel slip and an...

for the ICRA08 Planetary Rovers Workshop Slip Estimation and Compensation Control for Lunar/Planetary Rovers on Loose Soil Kazuya Yoshida, Keiji Nagatani, Genya Ishigami Dept. of Aerospace Engineering, Tohoku University, Japan Giulio Reina Dept. of Innovation Engineering, University of Salento, Italy For a mobile robot, it is critical to detect and compensate for slippage, especially when drivi...

Predicting the tractive limitations of locomotion gears is of critical importance in a robotic vehicle system on natural terrain. In particular, it is imperative for an unmanned mobile robot to avoid getting stuck in loose soil to retain its mobility. From this perspective, this paper attempts to theoretically predict the limitations of a typical wheel in such loose soil based on traditional so...

A novel approach is proposed for the modeling of rigid-wheel and soft-soil interaction to efficiently compute normal and shear stress distributions in the contact area. The authors propose a velocity field in the vicinity of the contact area based on the physical nature of the problem. Thereupon, the incremental changes to the stress field are computed by resorting to elastoplasticity theory an...

Mobile robots are increasingly being used in high-risk, rough terrain situations, such as planetary exploration and military applications. Current control and localization algorithms are not well suited to rough terrain, since they generally do not consider the physical characteristics of the vehicle and of its environment. Poor attention has been devoted to the study of the dynamic ill-effects...

This paper describes recent work toward developing a terramechanics-based modeling and validation infrastructure for characterizing the Curiosity rovers mobility properties on the Mars surface. The resulting simulation tool, ARTEMIS (Adams-based Rover Terramechanics and Mobility Interaction Simulator), is composed of a MSC-Adams dynamic rover model, a library of terramechanics subroutines, and ...

Wheel slip is inevitable when a Wheeled Mobile Robot (WMR) is moving at a high speed or on a slippery surface. In particular, when neither lateral nor longitudinal slips can be ignored in the dynamic model, a WMR becomes an underactuated nonlinear dynamic system. To study the maneuverability of a WMR in such a realistic environment, we model the overall WMR dynamics subject to wheel slip and pr...

In this paper, a novel adaptive tracking controller is proposed for mobile robots in presence of wheel slip and external disturbance force based on neural networks with online weight updating laws. The uncertainties due to the wheel slip and external force are compensated online by neural networks in order to achieve the desired tracking performance. The online weight updating laws are modified...

In this paper, an observer-based direct adaptive fuzzy-neural controller (ODAFNC) for an anti-lock braking system (ABS) is developed under the constraint that only the system output, i.e., the wheel slip ratio, is measurable. The main control strategy is to force the wheel slip ratio to well track the optimal value, which may vary with the environment. The observer-based output feedback control...

It is a very challenging task to measure longitudinal slip of a tire on road surface in normal driving conditions, because of the very small value of the slip (a few 1/1000). This paper presents an industrially deployable method for Tire-Road Friction (TRF) monitoring applied to passenger vehicle. This method estimates the longitudinal wheel slip κ and the normalized friction coefficient μ, for...