Development of modified LQG controller for mitigation of seismic vibrations using swarm intelligence
by Gaurav Kumar; Roshan Kumar; Ashok Kumar; Brij Mohan Singh
International Journal of Automation and Control (IJAAC), Vol. 17, No. 1, 2023

Abstract: A method is presented to design and tune the modified linear quadratic Gaussian (LQG) controller to obtain increased efficiency during an earthquake. It utilises swarm intelligence to tune the parameters of LQG based on quasi resonance between the natural frequencies of the structure in first two modes and the predominant frequencies of the seismic signal. The modified controller thus developed minimises the energy of structure by altering its parameters online. For testing of this modified controller, a benchmark prototype structure is numerically tested under different seismic signatures recorded in near/far fault sites in the different soil conditions. A parametric study comparing the efficiencies of modified LQG, and other contemporary controllers is presented. It is observed for El-Centro earthquake that the modified controller achieved reductions of 22%, 33% and 27% in relative displacement, inter-storey drift, and absolute acceleration respectively as compared to the conventional LQG controller. Similar results are observed for Gebze and Chi-Chi earthquakes. The modified controller is also evaluated in a situation where power vanishes at the peak of the seismic excitation. Based on the results and discussion, the performance of the proposed controller is observed to be superior among all controllers considered in this study.

Online publication date: Wed, 30-Nov-2022

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Automation and Control (IJAAC):
Login with your Inderscience username and password:

Username:        Password:          Forgotten your password?

Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email [email protected]