Multibody dynamics modeling of electromagnetic direct-drive vehicle robot driver
نویسندگان
چکیده
منابع مشابه
Modelling of a Direct Drive Industrial Robot
For high-speed control of robots, a good knowledge of system modelling is necessary to obtain the desired bandwidth. In this paper, we present a cartesian robot with a pan/tilt unit in end-effector (5 dof). This robot is implemented with powerful direct drive AC induction machines. The dynamic model, parameter identification and model validation of the robot are studied (including actuators). T...
متن کاملScaling of Direct Drive Robot Arms
This paper studies the ways that the performance of direct drive serial robots changes as system size is changed. We are particularly interested in the physical laws for scaling down direct drive arms to small sizes. Using theoretical scaling analysis, we show that there is a net physical performance advantage to small direct drive arms. A key factor for direct drive robot performance is the to...
متن کاملComputing Sensitivity Analysis of Vehicle Dynamics Based on Multibody Models
Vehicle dynamics simulation based on multibody dynamics techniques has become a powerful tool for vehicle systems analysis and design. As this approach evolves, more and more details are required to increase the accuracy of the simulations, to improve their efficiency, or to provide more information that will allow various types of analyses. One very important direction is the optimization of m...
متن کاملModeling Driver Response to Lead Vehicle Decelerating
This paper presents a driver performance map of braking and steering in response to three driving scenarios that lead to rear-end crashes. This map encompasses low risk, conflict, near-crash, and crash imminent driving states that correspond to advisory warning, crash imminent warning, and crash mitigation functionalities for intelligent vehicle rear-end crash countermeasures. Specifically, thi...
متن کاملMANFIS Based Modeling and Prediction of the Driver-Vehicle Unit Behavior in Overtaking Scenarios
Overtaking a slow lead vehicle is a complex maneuver because of the variety of overtaking conditions and driver behavior. In this study, two novel prediction models for overtaking behavior are proposed. These models are derived based on multi-input multi-output adaptive neuro-fuzzy inference system (MANFIS). They are validated at microscopic level and are able to simulate and predict the fut...
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: International Journal of Advanced Robotic Systems
سال: 2017
ISSN: 1729-8814,1729-8814
DOI: 10.1177/1729881417731896