Geology Reference
In-Depth Information
Chapter 9
Neuromorphic Smart
Controller for Seismically
Excited Structures
Yeesock Kim
Worcester Polytechnic Institute, USA
Changwon Kim
Texas A&M University, USA
Reza Langari
Texas A&M University, USA
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 neurologi-
cally 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 con-
trollers 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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