References of "Swevers, Jan"
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See detailComputer-aided integrated design for machines with varying dynamics
da Silva, Maira M; Bruls, Olivier ULg; Swevers, Jan et al

in Mechanism & Machine Theory (2009), 44(9), 1733-1745

This paper discusses the integrated design of mechatronic systems with varying dynamics, such as serial and parallel machine tools. This characteristic affects the machine stability and performance. A ... [more ▼]

This paper discusses the integrated design of mechatronic systems with varying dynamics, such as serial and parallel machine tools. This characteristic affects the machine stability and performance. A computer-aided integrated design methodology is proposed and validated on a pick-and-place robot. It consists of two main steps: (i) the derivation of reduced models from a flexible multibody model and (ii) the systematic robust control design. Eventually, the integrated design of the system, considering both structural and control parameters, can be performed. [less ▲]

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See detailMultiphysics modeling of mechatronic multibody systems
Fisette, Paul; Bruls, Olivier ULg; Swevers, Jan

in Proceedings of ISMA 2006 (2006, September)

Modeling mechatronic multibody systems requires the same type of methodology as for designing and prototyping mechatronic devices: a unified and integrated engineering approach. Various formulations are ... [more ▼]

Modeling mechatronic multibody systems requires the same type of methodology as for designing and prototyping mechatronic devices: a unified and integrated engineering approach. Various formulations are currently proposed to deal with multiphysics modeling, e.g. graph theories, equational approaches, co-simulation techniques. Recent works have pointed out their relative advantages and drawbacks, depending on the application to deal with: model size, model complexity, degree of coupling, frequency range, etc. This paper is the result of a close collaboration between three Belgian laboratories, and aims at showing that for "non-academic" mechatronic applications (i.e. issuing from real industrial issues), multibody dynamics formulations can be generalized to mechatronic applications, for the model generation as well as for the numerical analysis phases. Model portability being also an important aspect of the work, they must be easily interfaced with control design and optimization programs. A global "demonstrator", based on an industrial case, is discussed: multiphysics modeling, control design and mathematical optimization are carried out to illustrate the consistency and the efficiency of the proposed approaches. [less ▲]

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See detailOptimization of mechatronic systems: application to a modern car equipped with a semi-active suspension
Duysinx, Pierre ULg; Bruls, Olivier ULg; collard, Jean-François et al

in Herskowitz, José (Ed.) Proceedings of the 6th World Congress of Structural and Multidisciplinary Optimization (WCSMO6) (2005, May)

The research aims at developing a global mechatronic approach to model, simulate and optimize complex industrial applications. The approach is illustrated with the simulation and the optimization of a ... [more ▼]

The research aims at developing a global mechatronic approach to model, simulate and optimize complex industrial applications. The approach is illustrated with the simulation and the optimization of a modern car (an Audi A6) equipped with a controlled semi-active suspension. An optimization procedure is used to find the best sub-system parameters in order to improve the comfort of the passengers while preserving the car ride and handling performances. Two different modeling and optimization approaches are used and compared. The first one is realized in the MATLAB-SIMULINK environment and is based on a symbolic multibody model of the chassis while the hydraulic actuators, and the controller are integrated using S-functions. Optimization is also carried out in MATLAB using algorithms available in MATLAB libraries, especially a genetic algorithm (GA). On the other hand, the second approach relies on a multibody model based on the Finite Element method whereas the optimization can be realized with an industrial open optimization tool. [less ▲]

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