4.7 Article

Fuzzy finite-frequency output feedback control for nonlinear active suspension systems with time delay and output constraints

Journal

MECHANICAL SYSTEMS AND SIGNAL PROCESSING
Volume 132, Issue -, Pages 315-334

Publisher

ACADEMIC PRESS LTD- ELSEVIER SCIENCE LTD
DOI: 10.1016/j.ymssp.2019.06.018

Keywords

Suspension control; T-S fuzzy model; Time delay; Finite frequency; Output feedback control

Funding

  1. National Natural Science Foundation of China [51705084]
  2. Natural Science Foundation of Guangdong Province of China [2018A030313999, 2016A030313133]
  3. Fundamental Research Funds for the Central Universities, China [2018MS46]
  4. Opening Project of Guangdong Provincial Key Laboratory of Technique and Equipment for Macromolecular Advanced Manufacturing, South China University of Technology, China [2019kfkt06]
  5. University of Macau [MYRG2016-00212-FST, MYRG2017-00135-FST]

Ask authors/readers for more resources

This paper investigates the problem of fuzzy finite-frequency output feedback control for nonlinear active suspension systems with time delay and output constraints. Firstly, as the physical suspension systems always exist the phenomenon of sprung and un-sprung mass variation and time delay, the Takagi-Sugeno (T-S) fuzzy model is adopted to represent the nonlinear uncertain active suspension system with uncertainties and time delay. Secondly, since the human body is much more sensitive to vertical vibrations between 4 and 8 Hz, a finite-frequency control criterion is formulated for the controller deign with consideration of time delay and output constraints. Other mechanical constraints such as suspension travel, tire dynamic deflection and actuator saturation are also considered. Thirdly, on a practical point of view, not all the states are online measurable. Hence, a novel fuzzy static output feedback (SOF) controller is proposed by applying the parallel-distributed compensation (PDC) scheme. The sufficient conditions for deriving the fuzzy SOF controller are obtained in terms of linear matrix inequalities (LMIs). Finally, numerical simulations on a quarter-car suspension model are conducted to validate the effectiveness and applicability of the proposed fuzzy SOF controller. (C) 2019 Elsevier Ltd. All rights reserved.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.7
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available