NDLI: Scheduling Strategy of Multiple Semi-Active Controllers With Information on the Disturbance and the Structural Response

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Scheduling Strategy of Multiple Semi-Active Controllers With Information on the Disturbance and the Structural Response

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Scheduling Strategy of Multiple Semi-Active Controllers With Information on the Disturbance and the Structural Response

Content Provider	The American Society of Mechanical Engineers (ASME) Digital Collection
Author	Hiramoto, Kazuhiko Matsuoka, Taichi Sunakoda, Katsuaki
Copyright Year	2016
Abstract	A scheduling strategy of multiple semi-active control laws for various earthquake disturbances is proposed to maximize the control performance. Generally, the semi-active controller for a given structural system is designed as a single control law and the single control law is used for all the forthcoming earthquake disturbances. It means that the general semi-active control should be designed to achieve a certain degree of the control performance for all the assumed disturbances with various time and/or frequency characteristics. Such requirement on the performance robustness becomes a constraint to obtain the optimal control performance. We propose a scheduling strategy of multiple semi-active control laws. Each semi-active control law is designed to achieve the optimal performance for a single earthquake disturbance. Such optimal control laws are scheduled with the available data in the control system. As the scheduling mechanism of the multiple control laws, a command signal generator (CSG) is defined in the control system. An artificial neural network (ANN) is adopted as the CSG. The ANN-based CSG works as an interpolator of the multiple control laws. Design parameters in the CSG are optimized with the genetic algorithm (GA). Simulation study shows the effectiveness of the approach.
Sponsorship	Pressure Vessels and Piping Division
File Format	PDF
ISBN	9780791850466
DOI	10.1115/PVP2016-63453
Volume Number	Volume 8: Seismic Engineering
Conference Proceedings	ASME 2016 Pressure Vessels and Piping Conference
Language	English
Publisher Date	2016-07-17
Publisher Place	Vancouver, British Columbia, Canada
Access Restriction	Subscribed
Subject Keyword	Design Simulation Earthquakes Optimal control Control equipment Artificial neural networks Control systems Generators Robustness Signals Genetic algorithms
Content Type	Text
Resource Type	Article

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