Directional Response of Multi-Articulated Vehicles with Multiple Axles to Steering Input
نویسندگان
چکیده
منابع مشابه
Steering assistance for backing up articulated vehicles
Articulated vehicles belong to the category of nonholonomous wheelers. Under the aspect of control theory they require a sophisticated handling. This corresponds to the experience of unexercised drivers, for instance maneuvering a car and its caravan into a parking box. In this context some adequate advice for the right steering movements would give an appreciable assistance. Here a visual assi...
متن کاملEnhanced Path Planning for Articulated and Skid Steering Mining Vehicles
Abstract: Autonomous guidance of the mining vehicle is based on the path tracking algorithm that use pre-calculated desired paths. These paths are often calculated without taking into account the nonholonomic nature of the vehicle motion. As a result the calculated path might be not feasible and the path tracking controller will be required to correct the situation, deteriorating at the same ti...
متن کاملArticulated Wheeled Vehicles: Back to the Future?
Articulated Wheeled Vehicles (AWVs) are a class of wheeled locomotion systems where the chassis is connected to a set of ground-contact wheels via activelyor passively-controlled articulations, which can regulate wheel placement with respect to chassis during locomotion. The ensuing leg-wheeled systems exploit the reconfigurability and redundancy to realize significant benefits (improved stabil...
متن کاملController Design for Off-tracking Elimination in Multi-articulated Vehicles
The motion of a multi-body autonomous robot as well as of a train-like multiarticulated transportation vehicle is characterized by the deviation of the path of each intermediate vehicle from that of the leading one (off-tracking). In this paper, we make use of an innovative junction technique, which allows the kingpin to slide along the axis of the leading vehicle, something that proved to be v...
متن کاملMulti-directional continuous association with input-driven neural dynamics
We present an input-driven dynamical system approach to continuous association. Previous formulations of associative reservoir computing networks and associative extreme learning machines are unified and generalized to multiple modalities. Association in these networks proceeds by externally driving parts of the network. Through continuous variation of driving inputs, a continuous association o...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of Mechanical Systems for Transportation and Logistics
سال: 2011
ISSN: 1882-1782
DOI: 10.1299/jmtl.4.79