Multi-objective optimization of optimal control of quarter car suspension system is presented in this paper. A quarter car having quadratic stiffness of tire and cubic stiffness of suspension stiffness is modeled for control application. In optimization, the variables, weight matrices parameters are searched to satisfy objectives, namely, RMS sprung mass acceleration, RMS control force, RMS suspension/rattle space, tire deflection, and unsprung mass displacement and constraints on RMS acceleration and maximum control force. As the nature of the problem is of multi-objective type and objectives are of conflicting nature, hence GA is implemented to search the weight matrices parameters. During optimization and simulation, acr is traveling on class E road at 80 kmph. Trade-off front is obtained from optimization and three cases I, II, and III are selected and simulated further up to 120 kmph. These three cases provide ride comfort by keeping RMS sprung mass acceleration below ISO 2631 limit, i.e., 0.315 m/s2. Amongst the three cases designer may prefer Case II as it follows all constraints up to 120 kmph.


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    Title :

    GA-Based Multi-objective Optimal Control of Nonlinear Quarter Car Suspension


    Additional title:

    Lect.Notes Mechanical Engineering


    Contributors:


    Publication date :

    2016-09-18


    Size :

    11 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English




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