Title :
Genetic algorithm application to vibration control of tall flexible structures
Author :
Kundu, Sourav ; Seto, Kazuto ; Sugino, Shigeru
Author_Institution :
Knowledge Solutions Group Inc., Kanagawa, Japan
Abstract :
Presents experimental results of a genetic algorithm (GA) application for design of industrial actuators used for vibration control of tall flexible structures. Results are compared with experimental results published previously, showing the effectiveness of this design method. The method for modeling flexible structures with distributed parameters as reduced-order models with lumped parameters, is employed. Design of flexible structures is considered as a feedback search procedure where a new solution is assigned a fitness value and the GA, iterates until a satisfactory design solution is achieved. An evaluation function (fitness function) which uses the ratio between the controlled and uncontrolled peaks of the frequency response in the first mode of vibration as the measure of utility of the solution, is proposed
Keywords :
controllability; distributed parameter systems; flexible structures; frequency response; genetic algorithms; observability; reduced order systems; structural engineering; vibration control; distributed parameters; evaluation function; feedback search procedure; first mode of vibration; fitness function; fitness value; frequency response; genetic algorithm; industrial actuators; lumped parameters; reduced-order models; tall flexible structures; vibration control; Actuators; Algorithm design and analysis; Design methodology; Feedback; Flexible structures; Genetic algorithms; Industrial control; Reduced order systems; Vibration control; Vibration measurement;
Conference_Titel :
Electronic Design, Test and Applications, 2002. Proceedings. The First IEEE International Workshop on
Conference_Location :
Christchurch
Print_ISBN :
0-7695-1453-7
DOI :
10.1109/DELTA.2002.994641