Wheeled-mobile robots operating in human environments typically encounter small steps. Surmounting steps is normally not considered when determining peak torque needs, yet it can be the maximum requirement. This work looks at the statics and dynamics of this situation to determine the necessary peak torque. It finds that using a dynamic model that includes the wheel elasticity is essential for ...

Wheeled-mobile robots operating in human environments typically encounter small steps. Surmounting steps is normally not considered when determining peak torque needs, yet it can be the maximum requirement. This work looks at the statics and dynamics of this situation to determine the necessary peak torque. It finds that using a dynamic model that includes the wheel elasticity is essential for ...

It is often difficult to measure all necessary parameters directly in the current stability control systems. This paper presents a nonlinear observer to estimate vehicle’s yaw rate, lateral acceleration, tire side slip angles and the road friction coefficient based on the measurement signals of the Electric Power Steering (EPS) system and the Anti-lock Braking System (ABS). The performances of ...

Comparison of static and dynamic control allocation techniques for nonlinear constrained optimal distribution of tire forces in a vehicle control system is presented. The total body forces and moments, obtained from a high level controller, are distributed among tire forces, which are constrained to nonlinear constraint of saturation, through two approaches. For the static control allocation te...

This review discusses key technologies of intelligent tires focusing on sensors and wireless data transmission. Intelligent automobile tires, which monitor their pressure, deformation, wheel loading, friction, or tread wear, are expected to improve the reliability of tires and tire control systems. However, in installing sensors in a tire, many problems have to be considered, such as compatibil...

This study proposed a method of energy anomaly detection by using data integration and forecasting techniques to improve energy efficiency in tire curing. Proposed method integrates energy consumption with different factors (environments, equipments, operators, tire blanks and tire types). Artificial neural network model and Support Vector Machine model were used to forecast normal interval for...

Justifying the development of a business intelligence system is challenging when the primary beneficiaries of the system are internal to the company responsible for that development; it is even harder to justify when the system is designed to produce a new service that is radically different than current in-house manufactured products. This case explores the possibility of a tire manufacturer d...