Reprint
Combining Sensors and Multibody Models for Applications in Vehicles, Machines, Robots and Humans
Edited by
November 2021
256 pages
- ISBN978-3-0365-2357-6 (Hardback)
- ISBN978-3-0365-2358-3 (PDF)
This book is a reprint of the Special Issue Combining Sensors and Multibody Models for Applications in Vehicles, Machines, Robots and Humans that was published in
Chemistry & Materials Science
Engineering
Environmental & Earth Sciences
Summary
The combination of physical sensors and computational models to provide additional information about system states, inputs and/or parameters, in what is known as virtual sensing, is becoming increasingly popular in many sectors, such as the automotive, aeronautics, aerospatial, railway, machinery, robotics and human biomechanics sectors. While, in many cases, control-oriented models, which are generally simple, are the best choice, multibody models, which can be much more detailed, may be better suited to some applications, such as during the design stage of a new product.
Format
- Hardback
License
© 2022 by the authors; CC BY-NC-ND license
Keywords
Kalman filter; motion capture; gait analysis; inertial sensor; rail vehicles; track irregularities; multibody dynamics; inertial sensors; computer vision; singular configuration; parallel robot; motion control; 3D tracking; screw theory; multibody dynamics; Kalman filtering; coupled states-inputs estimation; virtual sensors; slider-crank mechanism; virtual sensoring; physical sensors; smart/intelligent sensors; sensor technology and applications; sensing principles; signal processing in sensor systems; multibody dynamics; symbolic generation; real-time computation; human-in-the-loop; haptic devices; parameter estimation; curve fitting method; multibody dynamics; hydraulic system; predictive maintenance; characteristic curve; product life cycle; digital twin; adaptive Kalman filter; multibody dynamics; nonlinear models; virtual sensing; multibody based observers; vehicle dynamics estimation; sideslip angle estimation; factor graph; graphical models; Kalman filtering; movable repetitive lander; fault-tolerant soft-landing; landing configuration; stability optimization; n/a