Model-based detection of critical driving situations with fuzzy logic decision making

Börner, Marcus; Isermann, Rolf

doi:10.1016/j.conengprac.2004.11.008

Cited by 21 publications

(8 citation statements)

References 3 publications

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“…The assumed value of l r ¼ 1:37 m results in a little lower value of the cornering stiffness at the front wheel and a little higher value at the rear wheel compared with Table 2. The values for the cornering stiffness are still within the typical range given by Brennan and Alleyne (2000) and Bö rner and Isermann (2002). A comparison between measured vehicle slip angle, yaw rate and lateral acceleration and the corresponding outputs of the one track model using the parameters of Table 3 is shown in Fig.…”

Section: Parametermentioning

confidence: 75%

“…Table 2 shows the estimated parameters of the test vehicle Opel Omega A2.0i. Comparison of the estimated cornering stiffnesses with reference values from literature shows that it is in the typical range of cornering stiffnesses of 20 000-120 000 N/rad, see Brennan and Alleyne (2000) and Bö rner and Isermann (2002) and that c af oc ar . Measurement of the wheel loads resulted in a distance of the cog to the rear axle of l r ref ¼ 1:37 m. Hence, the error of the estimated distance of the cog to the rear axle is less than 5% and within a feasible range.…”

Section: Article In Pressmentioning

confidence: 90%

“…Others have to be obtained by the use of parameter estimation methods. Halfmann and Holzmann (2003), Bö rner and Isermann (2002) and Zamow (1994) show how e.g. the mass and moments of inertia can be estimated.…”

Section: Introductionmentioning

confidence: 99%

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Identification of vehicle parameters using stationary driving maneuvers

Wesemeier¹,

Isermann²

2009

Control Engineering Practice

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a b s t r a c tUsing the velocity dependent static gains of the one track model it is shown how special combinations of parameters like cornering stiffness and center of gravity can be estimated. Driving with various speed and a constant cornering radius it is possible to estimate three different gains by measurement of the lateral acceleration, the yaw rate and the vehicle slip angle without knowing the moment of inertia of the vehicle. Results are shown for different measurements of a passenger car.

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Section: Parametermentioning

confidence: 75%

Section: Article In Pressmentioning

confidence: 90%

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Identification of vehicle parameters using stationary driving maneuvers

Wesemeier¹,

Isermann²

2009

Control Engineering Practice

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“…For a detailed description of the model, accuracies and environment conditions see Bo¨rner and Isermann (2005). Four different models calculate each sensor signal with different inputs using analytical redundancies, see Table 1.…”

Section: Parity Equationsmentioning

confidence: 99%

Fault detection for lateral and vertical vehicle dynamics

Fischer¹,

Börner²,

Schmitt³

et al. 2007

Control Engineering Practice

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Mechatronic systems for vehicles have received increased importance for improving automotive safety and comfort. These systems are designed to aid the driver by preventing unstable or unpredictable vehicle behavior and to stabilize the horizontal and vertical motion of the vehicle. This is achieved by the integration of actuators, sensors and data processing. However, the attained benefits are paralleled by an increase in the complexity of the system requiring enhanced methods for fault detection and diagnosis. Therefore, concepts for modelbased fault detection and diagnosis along with sensor fault tolerance are presented and realized for both a vehicle lateral dynamics system and an active suspension system. r

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“…The variety of fuzzy control applications indicates that this technique is becoming an important tool for complex processes (Lee, 1990). Recent fuzzy logic experimental applications are reported in the literature (Abdelazim & Malik, 2005;Bo¨rner & Isermann, 2006;Carvalho & Durao, 2002;Ewald, Delgado, & Becker, 2003;Li, Yang, Gao, & Wang, 2001;Souza Jr, Lopes, Pinto, Almeida, & Giordano, 2004).…”

Section: Introductionmentioning

confidence: 99%