Feasibility Study on Semi Active Control of Magneto-Rheological Fluid Damper using Artificial Neural Network for Earthquake Vibration Monitoring

Harisha, S R and Gowda, Thamme C S (2014) Feasibility Study on Semi Active Control of Magneto-Rheological Fluid Damper using Artificial Neural Network for Earthquake Vibration Monitoring. In: Proceedings of International conference on Computational Methods in Engineering and Health Sciences, December 17-19 2014, Manipal.

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Abstract

A semi-active control method for a seismically excited Single Degree Freedom System equipped with a magnetorheological (MR) damper is presented and evaluated. Semi-active dampers are a class of energy dissipating device for which the damping may be controlled in real-time. This is achieved by either altering the properties of the damping fluid, as is the case for electro- and magneto-rheological dampers, or by actuating mechanical components of the damper. An experimental setup of single degree of freedom system having a MRF damper with base excitation was designed and fabricated. Experiments were conducted to obtain dynamic response of the MRF damper with varying magnetic field. A calibration chart indicating the variation in damping factor against the magnetic field was obtained. This chart used as a lookup table for implementing a control system. The work also involves implementing the Skyhook control system in order to control the base excited system. A preliminary study of the response time and output stability of skyhook control was performed and reported. The results have been discussed both qualitatively and quantitatively. Various structural vibration detection methods based on structural dynamic characteristic parameters are summarized and evaluated. The principle of intelligent vibration diagnosis and its application prospects in structural vibration detection are introduced, and the development trends of structural vibration detection are also put forward. This paper reviews research into the use of methods to harness the knowledge and skills required to plan, set-up, operate and control vibration. Basic AI concepts are introduced and discussed particularly in the context of application to real time vibration monitoring.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: Vibration control, suspension system, magneto rheological fluids, signal generation, DAQ, skyhook control, Artificial Neural Networks
Subjects: Engineering > MIT Manipal > Mechanical and Manufacturing
Depositing User: MIT Library
Date Deposited: 25 May 2015 09:13
Last Modified: 25 May 2015 09:13
URI: http://eprints.manipal.edu/id/eprint/142754

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