Zobrazeno 1 - 10
of 11
pro vyhledávání: '"Michael Fleps-Dezasse"'
Publikováno v:
IEEE Transactions on Control Systems Technology. 27:1267-1274
This article addresses the design of an active fault-tolerant full-vehicle semi-active suspension controller by linear parameter-varying (LPV) control methods. The restrictive force constraints of the semi-active damper are modeled by saturation indi
Publikováno v:
2020 4th CAA International Conference on Vehicular Control and Intelligence (CVCI).
A key problem to be solved for automated driving is to generate a feasible trajectory regarding the constraints imposed by vehicle physical limits and road surface. This paper presents a model predictive trajectory planning framework for automated dr
Publikováno v:
Control Engineering Practice. 78:1-11
This work augments an existing LPV feedback controller by a new LPV feedforward filter to improve the stability of a vehicle subject to driver-induced roll disturbances. In particular, the proposed LPV feedforward filter is designed by a Full-Informa
Publikováno v:
IFAC-PapersOnLine. 50:8592-8599
This paper addresses the design of a fault-tolerant semi-active suspension controller. The fault-tolerant properties of the controller are realized by an LPV anti-windup approach using saturation indicator scheduling parameters. The saturation indica
Publikováno v:
IFAC-PapersOnLine. 49:432-439
Semi-active suspensions enable a mitigation of the design conflict between ride comfort and road-holding by allowing the continuous control of the damper force. During the design of control laws for semi-active dampers, the inherent actuator limits c
Autor:
Daniel Baumgartner, Yutaka Hirano, Tilman Bünte, Jakub Tobolar, Michael Fleps-Dezasse, Jonathan Brembeck
Publikováno v:
Modelica
Applying light-weight construction methods to the design of future electric vehicles results in weight reduction of both the vehicle body and the chassis. However, the potential for percental reduction of the sprung mass is larger compared to that of
Publikováno v:
IFAC Proceedings Volumes. 46:341-346
This paper analyses the performance of Modelica implemented state estimation algorithms for semi-active suspension control for the DLR ROboMObil (ROMO). In this approach the prediction model for the vertical dynamics state estimation and the tire con
Publikováno v:
CCA
Semi-active suspensions offer a large potential to improve the trade-off between ride comfort and road-holding compared to passive suspensions. In order to exploit this potential, the suspension control approach should explicitly consider the force l
Autor:
Michael Fleps-Dezasse, Jakub Tobolar
Publikováno v:
The Dynamics of Vehicles on Roads and Tracks ISBN: 9780429094729
Scopus-Elsevier
Scopus-Elsevier
The focus of this paper is the identification of a nonlinear full vehicle model. The identification task is realized as a weighted nonlinear least squares optimization problem, which minimizes the 2-norm of the errors between the power spectral densi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::81731b7b7525e81563f20d9deab0c3a0
https://doi.org/10.1201/b21185-75
https://doi.org/10.1201/b21185-75
Autor:
Andreas Pfeiffer, Martin Otter, Hilding Elmqvist, Karl Wernersson, Michael Fleps-Dezasse, Jonathan Brembeck
In this paper we propose a method how to automatically utilize continuous-time Modelica models directly in nonlinear state estimators. The approach is based on an extended FMI 2.0 Co-Simulation Interface [1] that interacts with the state estimation a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::83b2baa32b6148e577f07563559354e1
https://elib.dlr.de/88764/
https://elib.dlr.de/88764/