학술논문

A system identification approach to center of mass estimation in trucks
Document Type
Conference
Source
2023 International Conference on Control, Automation and Diagnosis (ICCAD) Control, Automation and Diagnosis (ICCAD), 2023 International Conference on. :1-6 May, 2023
Subject
Components, Circuits, Devices and Systems
Engineering Profession
Power, Energy and Industry Applications
Robotics and Control Systems
Signal Processing and Analysis
Transportation
Accelerometers
Road vehicles
Estimation
Transfer functions
Position measurement
Gyroscopes
System identification
vehicle dynamics
position of the center of mass
measurement noise
Box-Jenkins model
Language
ISSN
2767-9896
Abstract
The position of the center of mass of a vehicle is an important parameter as it significantly affects vehicle loads distribution and vehicle dynamics. This article proposes an approach to estimate the longitudinal position of the center of mass and the inertial parameters from offline batches. The proposed algorithm is based on the dynamical modelling of the vehicle and on the measurements of cheap gyroscopes and accelerometers. The estimation procedure uses the Box-Jenkins method for system identification to estimate the parameters given the noisy measurements. Prior knowledge of the vehicle is used to filter the output measurement and simplify the estimation problem. The approach is tested on simulations when one or more gyroscopes and accelerometers are used.