Dynamik der Kraftfahrzeuge

Mitschke, Manfred

doi:10.1007/978-3-642-77912-1

Cited by 199 publications

(51 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The hybrid suspension strut is able to unite the respective advantages of active (high performance potential) and semi-active (low power demand) suspension components. For the analysis of the vertical motion of vehicle body and wheel mass quarter-car models can be used to study the major dynamic effects in the frequency range below 25 Hz, Mitschke and Wallentowitz (2004). Due to several nonlinear force elements, the quarter-car equations of motion can be written as a nonlinear state space model of the form (6).…”

Section: Vehicle Suspension Modelmentioning

confidence: 99%

Nonlinear State Estimation in Suspension Control Based on Takagi-Sugeno Model

Pletschen

Badur

2014

IFAC Proceedings Volumes

View full text Add to dashboard Cite

We present a new nonlinear state estimation approach based on Kalman filter theory and Takagi-Sugeno (TS) modeling for an active vehicle suspension application in this paper. The nonlinear state equations of a so-called hybrid suspension configuration, which result from nonlinear spring and damping characteristics, are exactly represented by means of a continuoustime TS system, i. e. a convex combination of local linear state space models. We derive observer gain matrices for each linear subsystem on the basis of standard Kalman filter theory, before we construct the global observer for the overall nonlinear system. Convergence of the global observer is ensured in terms of linear matrix inequality conditions. We then study the estimation performance of the TS Kalman filter in simulations and experiments on a hybrid quarter-car test rig using a measured road profile as disturbance input. The approach achieves a high estimation accuracy of well above 90 % in the simulation and 70 − 90 % in the experiments.

show abstract

Section: Vehicle Suspension Modelmentioning

confidence: 99%

Nonlinear State Estimation in Suspension Control Based on Takagi-Sugeno Model

Pletschen

Badur

2014

IFAC Proceedings Volumes

View full text Add to dashboard Cite

show abstract

“…In Section 2.1 we provide a brief derivation of the pitch dynamics used in this work, for a more detailed account, see, e.g. Mitschke and Wallentowitz [2004]. There are several unknown parameters in the model of the pitch dynamics that have to be estimated from data.…”

Section: Longitudinal and Pitch Dynamicsmentioning

confidence: 99%

“…This implies that the single track model is sufficient for our purposes [Mitschke and Wallentowitz, 2004]. The geometry of the single track model with slip angles is provided in Figure 4.…”

Section: Lateral and Yaw Dynamicsmentioning

confidence: 99%

See 1 more Smart Citation

Recursive Identification of Cornering Stiffness Parameters for an Enhanced Single Track Model

Lundquist

Schön

2009

IFAC Proceedings Volumes

View full text Add to dashboard Cite

The current development of safety systems within the automotive industry heavily relies on the ability to perceive the environment. This is accomplished by using measurements from several different sensors within a sensor fusion framework. One important part of any system of this kind is an accurate model describing the motion of the vehicle. The most commonly used model for the lateral dynamics is the single track model, which includes the so called cornering stiffness parameters. These parameters describe the tire-road contact and are unknown and even time-varying. Hence, in order to fully make use of the single track model, these parameters have to be identified. The aim of this work is to provide a method for recursive identification of the cornering stiffness parameters to be used on-line while driving.

show abstract

“…[11,38,40,48,59,92] and in a broader sense in refs. [76,85]. Referring to the tuning of gains of an actively suspended vehicle, analytical formulae seem to have been derived only for simple system models (results reported in refs.…”

Section: Vehicle System Dynamicsmentioning

confidence: 99%

Optimization and integration of ground vehicle systems

Gobbi

Haque

Papalambros

et al. 2005

Vehicle System Dynamics

View full text Add to dashboard Cite

This article deals with the optimal design of ground vehicles and their subsystems, with particular reference to 'active' safety and comfort. A review of state-of-the-art optimization methods for solving vehicle system design problems, including the integration of electronic controls, is given, thus further encouraging the use of such methods as standard tools for automotive engineers. Particular attention is devoted to the class of methods pertaining to complex system design optimization, as well as approaches for the optimal design of complex systems under uncertainty. Some examples of design optimizations are given in the fields of vehicle system dynamics, powertrain/internal combustion engine design, active safety and ride comfort, vehicle system design and lightweight structures, advanced automotive electronics, and smart vehicles.

show abstract

Dynamik der Kraftfahrzeuge

Cited by 199 publications

References 0 publications

Nonlinear State Estimation in Suspension Control Based on Takagi-Sugeno Model

Nonlinear State Estimation in Suspension Control Based on Takagi-Sugeno Model

Recursive Identification of Cornering Stiffness Parameters for an Enhanced Single Track Model

Optimization and integration of ground vehicle systems

Contact Info

Product

Resources

About