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Comprehensive predictive control for vibration suppression based on piecewise constant input formulation

Ikuya Takamoto, M. Abé, Yushin Hara, Keisuke Otsuka, Kanjuro Makihara

2021Journal of Intelligent Material Systems and Structures16 citationsDOI

Abstract

We propose a novel semi-active vibration suppression method based on model predictive control (MPC). Semi-active vibration suppression provides excellent damping performance, energy consumption, and stability during control. As the semi-active control input is often discontinuous, it may be difficult to predict. Hence, we combine semi-active vibration suppression and MPC to determine the control input trajectory arbitrarily. The proposed method, called predictive switching based on piecewise constant input (PSPCI), assumes that the piezoelectric charge remains constant when the control circuit is in the open state. Under this assumption, the future system state can be predicted for semi-active vibration suppression while reducing the computational load. The PSPCI method predicts the future work done by the transducer and effectively suppresses vibrations. Its effectiveness and robustness are demonstrated through simulations and experiments. The proposed PSPCI method enables the prediction of the semi-active control input and diversifies the control input determination for effective semi-active vibration suppression.

Topics & Concepts

Control theory (sociology)Model predictive controlPiecewiseVibrationRobustness (evolution)Active vibration controlVibration controlConstant (computer programming)Computer scienceEngineeringControl (management)MathematicsPhysicsAcousticsProgramming languageMathematical analysisChemistryBiochemistryGeneArtificial intelligenceAeroelasticity and Vibration ControlVibration Control and Rheological FluidsInnovative Energy Harvesting Technologies
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