Design of a Two-Layer Adaptive Gain Scheduling Type-II Fuzzy Logic Controller for Improved Seismic Resilience in Multistory Structures

This study introduces a novel Two-Layer Type-II Adaptive Fuzzy Logic Controller (۲LT۲-FLC) to enhance seismic resilience in structural engineering. The innovative dual-layer approach integrates an inner adaptive fuzzy layer, which dynamically adjusts input scaling gains in real-time based on the instantaneous range of structural response, with a core fuzzy layer that employs interpretable IF-THEN rules to compute control forces. This design overcomes the limitations of controllers with static parameters by providing continuous self-adaptation to varying seismic excitation levels. The controller's performance was evaluated on a nonlinear four-story steel frame benchmark model, with parameters validated against established structural dynamics literature, under historical earthquake records (Kobe and Northridge). The proposed ۲LT۲-FLC significantly reduced peak inter-story drift—by ۵۰.۱۸% on the second floor and ۴۷.۶۹% on the fourth floor during the Kobe earthquake—outperforming both Type-II Fuzzy-PID and ANFIS-PID controllers. The controller operates with an average computation time of approximately ۰.۲ milliseconds per time step, confirming its suitability for real-time applications. By simplifying real-time adaptation for nonlinear systems, the ۲LT۲-FLC ensures robust, interpretable, and computationally efficient control, presenting a significant advancement for practical seismic mitigation.

کلیدواژه ها:

Type- II Fuzzy Logic Controller ، ANFIS-PID ، Fuzzy-PID ، CGO Optimization ، Seismic Resilience