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Self-Tuning Active Tuned Mass Damper Utilizing Constrained Multi-Variable Sliding Mode Extremum-Seeking | IEEE Conference Publication | IEEE Xplore

Self-Tuning Active Tuned Mass Damper Utilizing Constrained Multi-Variable Sliding Mode Extremum-Seeking


Abstract:

In this paper, an electromechanical actuator is utilized for bidirectional power flow in a tuned mass damper (TMD). The actuator force is controlled to achieve desired me...Show More

Abstract:

In this paper, an electromechanical actuator is utilized for bidirectional power flow in a tuned mass damper (TMD). The actuator force is controlled to achieve desired mechanical damping and stiffness values for the whole system by controlling the current using a power electronic converter. The resulting TMD can autonomously change its damping and stiffness values to minimize a host structure's displacement under different excitation frequencies. A multi-variable sliding mode extremum-seeking algorithm is used to tune the TMD damping and stiffness levels to optimal values. Analytic and simulation results show that the active TMD exhibits better performance when compared to non-adaptive and robust TMDs.
Date of Conference: 21-24 August 2018
Date Added to IEEE Xplore: 28 October 2018
ISBN Information:
Conference Location: Copenhagen, Denmark

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