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https://hdl.handle.net/10356/55122
Title: | Intelligent control system design to suppress vibration in civil structure | Authors: | Ng, Jin Bao. | Keywords: | DRNTU::Engineering | Issue Date: | 2012 | Abstract: | In this project, an intelligent control system for the vibration suppression of linear base-isolated buildings excited by unknown earthquake disturbance will be presented. Using PID theory, we can show how a PID controller manipulates its gains to suppress the motion of the structure caused by the unexpected earthquake disturbances. Following the PID control law of the linear parameters of the gains, we need to achieve a stable tuning on the PID controller for it to operate independently without external input at real times. The performance of the PID controller is evaluated on a full-fledged superstructure. Additional theories on nonlinear controller used on the interaction of the nonlinear base-isolated buildings will be elaborated too. Although PID controller does not give the best expected result to suppress the vibration of the earthquakes, it is one of the easiest controllers to study before proceeding to study on nonlinear controllers. Finally, the performance between the PID controller and one of the nonlinear controllers, namely the adaptive controller, will be compared. Nevertheless, the proposed adaptive controller is much better in controlling the vibration in the isolation layer for typical types of near-fault earthquakes even without compromising the base displacement or increasing the superstructure responses. | URI: | http://hdl.handle.net/10356/55122 | Schools: | School of Electrical and Electronic Engineering | Research Centres: | Centre for Modelling and Control of Complex Systems | Rights: | Nanyang Technological University | Fulltext Permission: | restricted | Fulltext Availability: | With Fulltext |
Appears in Collections: | EEE Student Reports (FYP/IA/PA/PI) |
Files in This Item:
File | Description | Size | Format | |
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FYP_Report.pdf Restricted Access | Experiment data readings | 5.29 MB | Adobe PDF | View/Open |
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