Validation of Longer and Heavier Vehicle Combination Simulation Models

Kural, Karel; Prati, Andrea; Besselink, Igo Igo; Pauwelussen, J.P.; Nijmeijer, Henk

doi:10.4271/2013-01-2369

Cited by 4 publications

(4 citation statements)

References 3 publications

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“…Next, the high-fidelity multi-body model will be described that has been validated against experimental test data in [22]. This model will be used for the verification of the controller design, proposed in Section IV, and is primarily intended for the simulation based analysis of performance measures described earlier (such as the swept path width, tail swing and rearward amplification).…”

Section: B High-fidelity Modelmentioning

confidence: 99%

“…To fully decouple the linearized plant G y /τ (s, u 1 ), we define the decoupling matrix D(s, u 1 ) = D 11 D 12 D 21 (s, u 1 ) D 22 . In order to maintain the diagonal dynamics, the gains D 11 = D 22 = 1.…”

Section: B Feedback Controller Designmentioning

confidence: 99%

“…Doing this, we force the extremum (minimum for the proportional and integral terms, maximum for the derivative terms) of the polynomial functions to occur at 80 km/h. This forces a monotonic trend of the gains between u 1 = 10 and u 1 = 80 km/h, since the functions (22) are quadratic ; namely, such functions show a monotonic trend before (and after) the extremum.…”

Section: B Feedback Controller Designmentioning

confidence: 99%

See 2 more Smart Citations

Active Trailer Steering Control for High-Capacity Vehicle Combinations

Kural

Hatzidimitris

Wouw

et al. 2017

IEEE Trans. Intell. Veh.

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Section: B High-fidelity Modelmentioning

confidence: 99%

Section: B Feedback Controller Designmentioning

confidence: 99%

Section: B Feedback Controller Designmentioning

confidence: 99%

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Active Trailer Steering Control for High-Capacity Vehicle Combinations

Kural

Hatzidimitris

Wouw

et al. 2017

IEEE Trans. Intell. Veh.

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“…of sensitivity analysis for the commercial vehicle dynamics is however given by Kural et al (2013). Furthermore a wide variety of trailer configurations can be created automatically, reducing model development time and allowing the simulation tool to be used in an automatic design framework.…”

Section: K Kural Et Al Determination Of Representative Loading Condmentioning

confidence: 99%

Determination of Representative Loading Conditions for Effective Semitrailer Design

et al. 2014

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Abstract. Obtaining a representative loading spectrum that corresponds well to the reality is still one of the greatest challenges for fatigue life calculations and optimal design of the trailer body. A good qualitative and quantitative knowledge of the spectrum leads to more efficient usage of material, a better design of connection points and an overall decrease of the weight of the trailer, which finally results in a significant decrease in the price of a ton of cargo per km. Despite that, the approach is nowadays mostly based on the experience and rules of thumb. It typically results in over-dimensioning of some parts while other parts remain vulnerable to failure due to unknown loading patterns. This paper describes a generic approach to solve the problems mentioned above applied in a research project named FORWARD (Fuel Optimized trailer Referring to Well Assessed Realistic Design loads). The project lasted two years and was carried out in cooperation with several different trailer manufacturers and 1st tier suppliers. The loading history of more than 1000 hours for five trailer types were captured in the shape of strains, accelerations and velocities of various elements of the trailers, enabling reconstruction of the loading in terms of forces and moments acting on the wheels and kingpin. Parallel to this extensive test-campaign, a novel generic physics-based computational approach was developed to predict selected loads encountered during common manoeuvres to all trailer types. The computational approach was validated against test-data and resulted in creating a generic multibody library applicable for all trailer types, and an automated post-processing routine for the large amount of test-data.

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