Integrated lateral dynamics control concept for over-actuated vehicles with state and parameter estimation and experimental validation

In this paper, hybrid parameter estimation technique is developed to improve computational efficiency and accuracy of pure GA-based estimation. The proposed strategy integrates a GA and the Maximum Likelihood Estimation. Choices of input signals and estimation criterion are discussed involving an extensive sensitivity analysis. Experiment-related aspects, such as the imperfection of data acquisition, are also considered. Computer simulation results reveal that the hybrid parameter estimation method proposed in this study is very efficient and clearly outperforms conventional techniques and pure GAs in accuracy, efficiency, as well as robustness with respect to the initial guesses and measurement uncertainty. Primary experimental validation is also implemented, including the interpretation of field test data, as well as analysis of errors associated with aspects of experiment design.

Download Full-text

Simulation of Humidity Fields in Concrete: Experimental Validation and Parameter Estimation

Journal of Advanced Concrete Technology ◽

10.3151/jact.13.214 ◽

2015 ◽

Vol 13 (4) ◽

pp. 214-229 ◽

Cited By ~ 10

Author(s):

Mateus A. Oliveira ◽

Miguel Azenha ◽

Paulo B. Lourenço

Keyword(s):

Parameter Estimation ◽

Experimental Validation

Download Full-text

IDENTIFICATION OF LATERAL DYNAMICS AND PARAMETER ESTIMATION OF HEAVY VEHICLES

Mechanical Systems and Signal Processing ◽

10.1006/mssp.1998.0171 ◽

1998 ◽

Vol 12 (5) ◽

pp. 611-626 ◽

Cited By ~ 8

Author(s):

X. Yang ◽

S. Rakheja ◽

I. Stiharu

Keyword(s):

Parameter Estimation ◽

Heavy Vehicles ◽

Lateral Dynamics

Download Full-text

Time-varying parameter estimation in continuous-time under colored perturbations using “equivalent control concept” and LSM with forgetting factor

2010 11th International Workshop on Variable Structure Systems (VSS) ◽

10.1109/vss.2010.5544662 ◽

2010 ◽

Cited By ~ 1

Author(s):

J. Escobar ◽

A. Poznyak

Keyword(s):

Parameter Estimation ◽

Continuous Time ◽

Time Varying ◽

Forgetting Factor ◽

Time Varying Parameter ◽

Control Concept ◽

Equivalent Control

Download Full-text

Application and Experimental Validation of a Multibody Model with Weakly Coupled Lateral and Vertical Dynamics to a Scaled Railway Vehicle

Sensors ◽

10.3390/s20133700 ◽

2020 ◽

Vol 20 (13) ◽

pp. 3700 ◽

Cited By ~ 1

Author(s):

Pedro Urda ◽

Sergio Muñoz ◽

Javier F. Aceituno ◽

José L. Escalona

Keyword(s):

Experimental Validation ◽

Multibody System ◽

Contact Forces ◽

Railway Vehicle ◽

Lateral Dynamics ◽

Multibody Model ◽

Weakly Coupled ◽

Multibody Dynamic ◽

Angular Velocities ◽

The University

In this paper, a multibody dynamic model of a railway vehicle that assumes that vertical and lateral dynamics are weakly coupled, has been experimentally validated using an instrumented scaled vehicle running on a 5-inch-wide experimental track. The proposed linearised model treats the vertical and lateral dynamics of the multibody system almost independently, being coupled exclusively by the suspension forces. Several experiments have been carried out at the scaled railroad facilities at the University of Seville in order to test and validate the simulation model under different working conditions. The scaled vehicle used in the experiments is a bogie instrumented with various sensors that register the accelerations and angular velocities of the vehicle, its forward velocity, its position along the track, and the wheel–rail contact forces in the front wheelset. The obtained results demonstrate how the proposed computational model correctly reproduces the dynamics of the real mechanical system in an efficient computational manner.

Download Full-text