State Estimation Filtering using Recent Finite Measurements and Inputs for Active Suspension System with Temporary Uncertainties

Authors

  • Pyung Soo Kim Korea Polytechnic University
  • Seok Jun Kwon Korea Polytechnic University
  • Su Min Kim Korea Polytechnic University
  • Sukhyun Seo Korea Polytechnic University

DOI:

https://doi.org/10.4186/ej.2020.24.3.181

Keywords:

infinite memory structure filter, finite memory structure filter, automotive suspension system, temporary uncertain system, nominal system

Abstract

In this paper, the finite memory structure(FMS) filter using most recent finite measured outputs and control inputs is applied for the state estimation filtering of automotive suspension systems to verify intrinsic robustness of FMS filter. Firstly, the single-corner model for the automotive suspension system and its state-space model are described. Secondly, FMS as well as infinite memory structure(IMS) filters are briefly introduced and represented by the summation form. Thirdly, a couple of temporary uncertainties, model uncertainty and unknown input, are discussed. Finally, extensive computer simulations are performed for both nominal system and temporarily uncertain system. It is shown that the FMS filter can be better than the IMS filter for both temporary uncertainties. In addition, the FMS filter can be shown to be comparable to the IMS filter after the effects of a couple of temporary uncertainties have completely disappeared.

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Author Biographies

Pyung Soo Kim

System Software Solution Lab., Korea Polytechnic University, 237 Sangidaehak-ro, Siheung-si, Gyeonggi-do, 15073, KOREA

Seok Jun Kwon

System Software Solution Lab., Korea Polytechnic University, 237 Sangidaehak-ro, Siheung-si,
Gyeonggi-do, 15073, KOREA

Su Min Kim

System Software Solution Lab., Korea Polytechnic University, 237 Sangidaehak-ro, Siheung-si, Gyeonggi-do, 15073, KOREA

Sukhyun Seo

System Software Solution Lab., Korea Polytechnic University, 237 Sangidaehak-ro, Siheung-si,
Gyeonggi-do, 15073, KOREA

Published

Vol 24 No 3, May 31, 2020

How to Cite

[1]
P. S. Kim, S. J. Kwon, S. M. Kim, and S. Seo, “State Estimation Filtering using Recent Finite Measurements and Inputs for Active Suspension System with Temporary Uncertainties”, Eng. J., vol. 24, no. 3, pp. 181-195, May 2020.