Pseudo random wave response of a Vibration Control System using Swarm Intelligence

Abstract

The response of the vibration control system using swarm intelligence for pseudo random wave has been investigated. As an example of swarm intelligence, a swarm of ants can find an optimal route between their nest and the food in various environment using special pheromone. In this sense, the network of agents in a swarm may have some kind of intelligence or higher function appeared in a simple agent, which is defined as the swarm intelligence. The concept of swarm intelligence may be applied in diverse engineering fields such as flexible pattern recognition, adaptive control system, or intelligent monitoring system, because some kind of intelligence may emerge on the network without any special control system. In previous studies, the swarm intelligence was applied to a mechanical vibration control system composed of a network of units equipped sensors and actuators. Five units composed of a displacement sensor and a variable dynamic damper were placed on each mass of the five degree-of-freedom lumped mass system. A unit composed of a sensor was placed on the basement. Each unit was connected to each other to exchange information of state variables measured by sensors on each unit. Because the network of units configured as a mutual connected network, a kind of artificial intelligence, the network of units could memorize the several expected vibration-controlled patterns and could produce the signal to the actuators on the unit to reduce the vibration of target system. In this study, pseudo random wave response of a vibration control system was simulated. The results showed that the vibration control system could reduce the vibration, especially the response to first natural frequency compared with ON-OFF controller.