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Parameters Optimization of Vibration Isolation System Based on Particle Swarm Optimization (PSO) Algorithm
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    Abstract:

    The PSO technique was utilized, and the transmissibility was defined as the fitness function for the purpose of performing single optimization and multi-objective optimization of isolation parameters of 1dof and 2dof system respectively. Meanwhile, the feedback control method was considered, and the infinity norm of transfer function matrix was chosen as the fitness. The numerical results revealed that state feedback control could not further optimize the uncontrolled system based on the optimal parameters; however, recalculated operation of the isolation parameters and the controller could achieve this. Finally, the optimization gave consideration to the transmissibility of the control force in purpose of minimizing the energy consumption while optimizing the parameters. Systematic study of this paper could solve the problem of the optimal design parameters of vibration isolation system, and the importance of optimal parameter settings was discussed when control was exerted on the isolation system. Moreover, taking into account the control energy consumption while parameters optimization being performed could have some innovative for traditional isolation and control design.

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  • Received:
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  • Online: November 27,2014
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