2009
DOI: 10.1007/s12046-009-0015-z
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A model for signal processing and predictive control of semi-active structural control system

Abstract: The theory for structural control has been well developed and applied to perform excellent energy dissipation using dampers. Both active and semi-active control systems may be used to decide on the optimal switch point of the damper based on the current and past structural responses to the excitation of external forces. However, numerous noises may occur when the control signals are accessed and transported thus causing a delay of the damper. Therefore, a predictive control technique that integrates an improve… Show more

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Cited by 2 publications
(7 citation statements)
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“…Then the dynamic equilibrium equation of motion for the systematic organization of the ASHD as the AIC is derived from the unlocked status and the locked status of the interactive IE. In order to improve the seismic proofing capability of this proposed new AIC, a predictive control method [19,20] is applied to improve the energy-dissipating defects of the ASHD. Then, to test and verify the seismic proofing capability of the proposed AIC with and without predictive control, a full-scale two-story one-bay steel structure is tested on a shaking table in multiple forms, namely, the bare structure and the structure with various stiffeners added at different floors and with passive control, synchronous control, and asynchronous control and also with or without predictive control, under excitation of the El Centro and Kobe earthquake records with various peak ground acceleration rates.…”
Section: Discussionmentioning
confidence: 99%
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“…Then the dynamic equilibrium equation of motion for the systematic organization of the ASHD as the AIC is derived from the unlocked status and the locked status of the interactive IE. In order to improve the seismic proofing capability of this proposed new AIC, a predictive control method [19,20] is applied to improve the energy-dissipating defects of the ASHD. Then, to test and verify the seismic proofing capability of the proposed AIC with and without predictive control, a full-scale two-story one-bay steel structure is tested on a shaking table in multiple forms, namely, the bare structure and the structure with various stiffeners added at different floors and with passive control, synchronous control, and asynchronous control and also with or without predictive control, under excitation of the El Centro and Kobe earthquake records with various peak ground acceleration rates.…”
Section: Discussionmentioning
confidence: 99%
“…where { } is the vector of structure displacement: Consequently, a new matrix of coefficient regression system [ ] is a constant matrix depending on the number of sampling points and regression ranks but independent of time or vector of data queue: Then, the optimal displacement̂= { }⋅{ } can be estimated based on this equation. [19,20]. The optimal displacements can be easily predicted usinĝ= { } can be stored in computer memory for predicting the real-time velocity or regressing velocity at any arbitrary time step; that is, the optimal velocity for previous time steps from the current time can be estimated by multiplying { } with the derivative of the displacement vector shown as (A.12).…”
Section: Discussionmentioning
confidence: 99%
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