Optimized Fuzzy Semi-active Control of Flow-induced Vibration of Hydraulic Arch Sluice

Improving hydraulic boundary condition and optimizing arch sluice structure are very important measures to reduce the flow-induced vibration of hydraulic arch sluice, but these measures, which can only be taken before construction, are not enough for reduction of the vibration. Employing structural control method is a further approach to this problem. This approach is significant for vibration mitigation of already existing arch sluice. The optimized fuzzy control strategy based on genetic algorithm (GA) takes advantage of powerful optimization capability of GA and avoids the weakness of ordinary fuzzy logic control (FLC) designing in which inference rules and membership functions of FLC are chosen by expert experiences. In this method, a multi-population GA with real-integer-mixed encoding was put forward. Based on this method, optimized fuzzy semi-active control strategy was proposed to reduce the vibration of certain arch sluice installed with magnetorheological (MR) dampers. The simulated result shows that MR dampers can diminish flow-induced vibration of the arch sluice effectively under this strategy and the proposed method is much better than the ordinary FLC