Efficient optimisation of a vehicle suspension system, using a gradient-based approximation method. Part 2. Optimisation results

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dc.contributor.author Thoresson, Michael John
dc.contributor.author Uys, Petro E.
dc.contributor.author Els, P.S. (Pieter Schalk)
dc.contributor.author Snyman, Jan A.
dc.date.accessioned 2009-09-16T13:18:33Z
dc.date.available 2009-09-16T13:18:33Z
dc.date.issued 2009-05-12
dc.description.abstract A methodology is proposed for the efficient determination of gradient information, when performing gradient based optimisation of an off-road vehicle’s suspension system. The methodology is applied to a computationally expensive, non-linear vehicle model, that exhibits severe numerical noise. A recreational off-road vehicle is modelled in MSC.ADAMS, and coupled to MATLAB for the execution of the optimisation. The successive approximation method, Dynamic-Q, is used for the optimisation of the spring and damper characteristics. Optimisation is performed for both ride comfort and handling. The determination of the objective function value is performed using computationally expensive numerical simulations. This paper proposes a non-linear pitch-plane model, to be used for the gradient information, when optimising ride comfort. When optimising for handling, a non-linear four wheel model, that includes roll, is used. The gradients of the objective function and constraint functions are obtained through the use of central finite differences, within Dynamic-Q, via numerical simulation using the proposed simplified models. The importance of correctly scaling these simplified models is emphasised. The models are validated against experimental results. The simplified vehicle models exhibit significantly less numerical noise than the full vehicle simulation model, and solve in significantly less computational time. en_US
dc.identifier.citation Thoresson, M.J., Uys, P.E. & Snyman, J.A. 2009, 'Efficient optimisation of a vehicle suspension system, using a gradient-based approximation method. Part 2. Optimisation results. en_US
dc.identifier.uri http://hdl.handle.net/2263/11283
dc.language.iso en en_US
dc.publisher Elsevier en_US
dc.rights Elsevier en_US
dc.subject Dynamic-Q en_US
dc.subject Gradient-based mathematical optimisation en_US
dc.subject Semi-active en_US
dc.subject Ride comfort en_US
dc.subject Handling en_US
dc.subject Vehicle suspension en_US
dc.title Efficient optimisation of a vehicle suspension system, using a gradient-based approximation method. Part 2. Optimisation results en_US
dc.type Postprint Article en_US


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