Multi-objective active vibration optimization of dynamic frequency responses for shell structures

Abstract

Vibration is the main factor influencing the stable operation of mechanical equipment. Malfunction in large mechanical equipment is always attributed to excessive vibration. Active control plays a key role in vibration optimization and secures the safe operation of mechanical equipment. However, the current active control methods mainly focus on optimization of local vibration characteristics. Few studies deal with multi-point and multi-objective active control of the equipment. Therefore, based on the neural network algorithm, a multi-objective active vibration control method (MACM) is constructed to achieve the multi-objective active control of frequency responses for shell structures and guarantee the steady operation of mechanical equipment.