A Constrained Dual Kalman Filter Based on pdf Truncation for Estimation of Vehicle Parameters and Road Bank Angle: Analysis and Experimental Validation Articles uri icon

publication date

  • April 2017

start page

  • 1006

end page

  • 1016

issue

  • 4

volume

  • 18

International Standard Serial Number (ISSN)

  • 1524-9050

Electronic International Standard Serial Number (EISSN)

  • 1558-0016

abstract

  • Vehicles today are equipped with control systems that improve their handling and stability. Knowledge of road bank angle and vehicle parameters is crucial for good behavior in this type of control. This paper develops a new method for estimating different states, such as vehicle roll angle, road bank angle, and vehicle parameters. This method combines a dual Kalman filter with a probability density function truncation method to consider the parameter physical limitations. Experimental results show the effectiveness of the proposed method and demonstrate that the incorporation of parameter constraints improves its estimation accuracy. The proposed method provides an estimation of the parameters and the states' physical meaning and the stable values within the real boundary limits in contrast to other estimation methods.

keywords

  • Vehicles
    Roads
    Estimation
    Kalman filters
    Control systems
    Probability density function
    Mathematical model