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Neuromorphic Smart Controller for Seismically Excited Structures

Neuromorphic Smart Controller for Seismically Excited Structures
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Author(s): Yeesock Kim (Worcester Polytechnic Institute, USA), Changwon Kim (Texas A&M University, USA)and Reza Langari (Texas A&M University, USA)
Copyright: 2013
Pages: 18
Source title: Design Optimization of Active and Passive Structural Control Systems
Source Author(s)/Editor(s): Nikos D. Lagaros (National Technical University of Athens, Greece), Vagelis Plevris (School of Pedagogical & Technological Education, Greece)and Chara Ch Mitropoulou (National Technical University of Athens, Greece)
DOI: 10.4018/978-1-4666-2029-2.ch009

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Abstract

In this chapter, an application of a neuromorphic controller is proposed for hazard mitigation of smart structures under seismic excitations. The new control system is developed through the integration of a brain emotional learning-based intelligent control (BELBIC) algorithm with a proportional-integral-derivative (PID) compensator and a clipped algorithm. The BELBIC control is based on the neurologically inspired computational model of the amygdala and the orbitofrontal cortex. A building structure employing a magnetorheological (MR) damper under seismic excitations is investigated to demonstrate the effectiveness of the proposed hybrid clipped BELBIC-PID control algorithm. The performance of the proposed hybrid neuromorphic controller is compared with the one of a variety of conventional controllers such as a passive, PID, linear quadratic Gaussian (LQG), and emotional control systems. It is shown that the proposed hybrid neuromorphic controller is effective in improving the dynamic responses of structure-MR damper systems under seismic excitations, compared to the benchmark controllers.

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