GA-optimized FLC-driven semi-active control for phase-II smart nonlinear base-isolated benchmark building

摘要: An optimized fuzzy logic control (FLC) algorithm is developed for the phase-II smart base-isolated benchmark building with nonlinear isolation system. A restart genetic algorithm-based optimization strategy has been used to change system properties like rule base, pre-scale gains, membership function type and parameters at every simulation step. Acceleration relative velocity responses damper location have taken as inputs FLC Voltage required by magneto-rheological (MR) obtained an output from FLC. The use of MR dampers in study a device along bearings renders overall nonlinear. advantage using base its inherent ability handle nonlinearities uncertainties structural behavior, input excitation, sensor, actuator dynamics. As consequence, provides robustness mechanism. Moreover, FLC-driven voltage monitoring gradual smooth voltage. In present study, number sensors actuators their locations kept unchanged sample controller provided study. Simulation results FLC, adaptive fixed type, tabulated compared. Results indicate improvement proposed approach without considering multi-objective nondominated solution, where weight objective functions can be varied. stability test shown.