Optimization and integration of ground vehicle systems

Gobbi, Massimiliano; Haque, Imtiaz; Papalambros, Panos Y.; Mastinu, Giampiero

doi:10.1080/00423110500158841

Cited by 25 publications

(12 citation statements)

References 70 publications

(76 reference statements)

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“…The in-service configuration and three optimised design alternatives are tested for five different speeds: V ∈ [250, 275, 300, 325, 350] on a straight track using four different sets of wheel/rail profiles: ideal wheel/rail, ideal wheel/worn rail, worn wheel/ideal rail and worn wheel/rail. wheels and rails (1-5:Ideal), ideal wheel profiles and worn rail profiles (6-10:Rail), worn wheel profiles and ideal rail profiles (11)(12)(13)(14)(15), and worn profiles for both wheels and rails (16-20:W-R). It is difficult to consider worn profiles in general because wheels and rails can be worn down in several different ways and thus cause a variation of problems or even improvements to the dynamics of the train vehicle.…”

Section: Sensitivity Due To Speed and Wheel/rail Profilesmentioning

confidence: 99%

“…The set of optimised solutions provides additional insights into the railway vehicle dynamics which can be utilised while making decisions regarding the design, see, e.g. [13,14]. Some other arguments for using an MOEA approach are the higher reliability of finding the global optima and the fact that the structure of the algorithm is especially suitable for non-smooth or irregular objective functions.…”

Section: Introductionmentioning

confidence: 98%

“…Optimisation of train dynamics using multidisciplinary or multiobjective optimisations, see e.g. [3,13,14], is to simultaneously optimise several performance objectives. Multi-objective design problems have been widely studied and there exist several powerful algorithms for solving such problems.…”

Section: Introductionmentioning

confidence: 99%

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Pareto optimisation of railway bogie suspension damping to enhance safety and comfort

Johnsson

Berbyuk

Enelund

2012

Vehicle System Dynamics

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This paper presents the optimisation of damping characteristics in bogie suspensions using a multi-objective optimisation methodology. The damping is investigated and optimised in terms of the resulting performances of a railway vehicle with respect to safety, comfort and wear considerations. A complete multi-body system model describing the railway vehicle dynamics is implemented in commercial software Gensys and used in the optimisation. In complementary optimisation analyses, a reduced and linearised model describing the bogie system dynamics is also utilised. Pareto fronts with respect to safety, comfort and wear objectives are obtained, showing the trade-off behaviour between the objectives. Such trade-off curves are of importance, especially in the design of damping functional components. The results demonstrate that the developed methodology can successfully be used for multi-objective investigations of a railway vehicle within models of different levels of complexity. By introducing optimised passive damping elements in the bogie suspensions, both safety and comfort are improved. In particular, it is noted that the use of optimised passive damping elements can allow for higher train speeds. Finally, adaptive strategies for switching damping parameters with respect to different ride conditions are outlined and discussed.

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Section: Sensitivity Due To Speed and Wheel/rail Profilesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 98%

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Pareto optimisation of railway bogie suspension damping to enhance safety and comfort

Johnsson

Berbyuk

Enelund

2012

Vehicle System Dynamics

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“…A growing number of research efforts have been focused upon the multi-body modelling [3], suspension design [2,4], dynamics analysis [5], and optimisation study [6] for novel and existing suspensions in order to effectively compromise the ride and handling performances. As the simultaneous motion of all wheels (unsprung masses) relative to the vehicle body (sprung matrices were used to define the class of suspensions under the assumption of ideal interconnections.…”

Section: Introductionmentioning

confidence: 99%

Modelling and characteristic analysis of tri-axle trucks with hydraulically interconnected suspensions

Ding

Han

Luo

et al. 2012

Vehicle System Dynamics

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In this paper, a new hydraulically interconnected suspension (HIS) system is proposed for the implementation of a resistance control for the pitch and bounce modes of tri-axle heavy trucks. A lumped-mass half-truck model is established using the free-body diagram method. The equations of motion of a mechanical and hydraulic coupled system are developed by incorporating the hydraulic strut forces into the mechanical subsystem as externally applied forces. The transfer matrix method (TMM) is used to evaluate the impedance matrix of the hydraulic subsystem consisting of models of fluid pipes, damper valves, accumulators, and three-way junctions. The TMM is further applied to find the quantitative relationships between the hydraulic strut forces and boundary flow of the mechanicalfluid interactive subsystem. The modal analysis method is employed to perform the vibration analysis between the trucks with the conventional suspension and the proposed HIS. Comparison analysis focuses on free vibration with identified eigenvalues and eigenvectors, isolation vibration capacity, and force vibration in terms of the power spectrum density responses. The obtained results show the effectiveness of the proposed HIS system in reducing the pitch motion of sprung mass and simultaneously maintaining the ride comfort. The pitch stiffness is increased while the bounce stiffness is slightly softened. The peak values of sprung mass and wheel hop motions are greatly reduced, and the vibration decay rate of sprung mass is also significantly increased.

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“…Constraints g(x) determine the set of feasible solutions. Objective functions f(x) and constraints g(x) can be expressed with algebraic equations or computer simulations [20].…”

Section: Multi-objective Optimizationmentioning

confidence: 99%

Multi-objective optimization model in the vehicle suspension system development process

2015

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Original scientific paper In order to improve conceptual phase of vehicle development, this research is focused on development of new multi-objective optimization model for determining the optimal parameters of the suspension system. In this research emphasis is on the development of suspension system from the viewpoint of full vehicle dynamics behaviour. The new optimization model consists of the integration of fast simulation tools with a suitable degree of accuracy for analysis of suspension system kinematics and analysis of vehicle dynamics into multi-objective optimization environment. The necessary steps that proceed to development of optimization model are identification of influence parameters, definition of criteria for the evaluation of vehicle dynamic characteristics in different test procedures and selection of multi-objective optimization algorithms, primarily contemporary evolutionary algorithms. In comparison of the algorithms, the best results in terms of convergence, number of solutions, short computing time and Pareto front approximation were achieved with the FMOGA-II algorithm. Keywords: evolutionary algorithms; multi-objective optimization; suspension system parameters; vehicle dynamics Višekriterijski optimizacijski model u razvoju ovjesa vozilaIzvorni znanstveni članak U cilju unapređenja konceptualne faze razvoja vozila, ovo istraživanje je usmjereno na razvoj novog višekriterijskog optimizacijskog modela za određivanje optimalnih parametara ovjesa vozila. U ovom istraživanju naglasak je na razvoju ovjesa vozila promatrano kroz dinamičko ponašanje kompletnog vozila. Novi optimizacijski model temelji se na integraciji brzih simulacijskih alata s zadovoljavajućom razinom točnosti za analizu kinematike ovjesa i dinamiku vozila unutar okruženja za višekriterijsko optimiranje. Nužni koraci koji prethode razvoju optimizacijskog modela su identifikacija utjecajnih parametara, definiranje kriterija za ocjenu dinamičkih karakteristika vozila u različitim ispitnim procedurama i odabir višekriterijskih optimizacijskih algoritama, prvenstveno suvremenih evolucijskih algoritama. Usporedba optimizacijskih algoritama pokazala je da se najbolji rezultati u pogledu konvergencije, broja mogućih rješenja, trajanja računanja i približavanja Pareto fronti postižu s FMOGA-II algoritmom. Ključne riječi: dinamika vozila; evolucijski algoritmi; parametri ovjesa vozila; višekriterijsko optimiranje

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Optimization and integration of ground vehicle systems

Cited by 25 publications

References 70 publications

Pareto optimisation of railway bogie suspension damping to enhance safety and comfort

Pareto optimisation of railway bogie suspension damping to enhance safety and comfort

Modelling and characteristic analysis of tri-axle trucks with hydraulically interconnected suspensions

Multi-objective optimization model in the vehicle suspension system development process

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