This paper demonstrates the feasibility and efficacy of applying a multidisciplinary optimization method, i.e. All-in-One (A-i-O) method, using genetic algorithms, multibody dynamics, the linear quadratic Gaussian method, and the Kaiman filter algorithm to the design optimization of mechatronic vehicles with active suspensions. The A-i-O method is implemented in a sophisticated simulation environment in such a way that the linear mechanical vehicle model is designed in the A'GEM program, the optimal controller and Kaiman estimator are designed in the MATLAB, then the combined system including mechanical vehicle model, optimal controller, and Kaiman estimator is optimized simultaneously by using genetic algorithms. The A-i-O method is used to resolve the conflicting requirements for ride comfort, suspension work spaces, and dynamic wheel loads in the optimization of quarter-vehicle models with active suspensions. In the simulations, both random and deterministic road inputs and both perfect measurement of full state variables and estimated limited state variable cases are considered. The time domain analysis and covariance analysis are carried out. Numerical results show that the active suspension systems based on the A-i-O have better overall performance than those derived using the LQG method. The sequential optimization process can not achieve the results obtained by the A-i-O. Based on an appropriately selected reference vehicle dynamic model, by means of normalizing each term of the required objective function, the design optimization using the A-i-O method is greatly facilitated. With the co existence of passive and active components in vehicle suspensions and the design variables determined by using the A-i-O method, the corresponding actuator forces can actively resist road disturbances much longer than the actuator forces based on the case where the corresponding suspensions have no passive elements and the design variables are determined by using the LQG algorithm. The above A-i-O method can be applied to the design optimization of complex vehicle models with active suspensions. As a continuation of this research, the application of the A-i-O method to the design optimization of a half vehicle model with flexible vehicle body and active suspensions is under way.


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    Titel :

    Multidisciplinary design optimization of mechatronic vehicles with active suspensions


    Weitere Titelangaben:

    Multidisziplinäre Entwurfsoptimierung mechatronischer Fahrzeuge mit aktiven Radaufhängungen


    Beteiligte:
    He, Yuping (Autor:in) / McPhee, John (Autor:in)

    Erschienen in:

    Journal of Sound and Vibration ; 283 , 1/2 ; 217-241


    Erscheinungsdatum :

    2005


    Format / Umfang :

    25 Seiten, 13 Bilder, 7 Tabellen, 22 Quellen




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Print


    Sprache :

    Englisch