Semi-active vibration control of building structure by Self Tuned Brain Emotional Learning Based Intelligent Controller

Control algorithms are the most crucial aspects in effective control of civil structures exposed to earthquake forces. Recently, adaptive intelligent evolving be a viable substitute strategy for conventional model-based algorithms. One recent developments, known as Brain Emotional Learning Based Intelligent Controller (BELBIC), has caught attention scientists model-free system. It possesses appealing capabilities dealing with nonlinearities and uncertainties frameworks. The modern semi-actively controlled have highly uncertain nonlinear nature following severe disturbances. As result, these require real-time (online) robust actions towards changing conditions, which controllers rigid settings cannot adapt. This study intends overcome this issue two ways: an online self-tuning brain emotional learning-based controller (ST-BELBIC) is formulated. Then its improving performance cascaded attenuating seismic vibrations three-story scaled building structure validated. In case, central unit BELBIC based on sensory inputs (SI) cues (reward) signals. main contribution proposed self-attuned version standard that uses benefits first-order Sugano fuzzy inference system (FIS) adapt parameters online. methodology can promising terms tuning, simplicity configuration, ease applicability, less operational time, neutralizing nonlinearities. simulation affirms compared LQR Fuzzy tuned PID (FT-PID) shows superior regarding responses also improve FT-PID controller.