Semi-active control strategy based on genetic algorithm

The multi-state control strategy is developed, which uses the velocity response as state-switch parameter, according to the problems of amplification of local acceleration response appearing in the switch control method. The value of state-switch parameter is optimized by genetic algorithm method, and a formula is proposed. Such control strategies as multi-state strategy and passive control methods have been used to the shaking table experiment of a three-flour reinforced structure with the magnetorheological (MR) damper. The result shows that the multi-state control strategy is more effective than other control strategies, and has a higher practicability.