Title :
Optimal placement and configuration direction of actuators in plate structure vibration control system
Author :
Yang, Jingyu ; Chen, Guoping
Author_Institution :
Nanjing Univ. of Aeronaut. & Astronaut., Nanjing, China
Abstract :
Most previous research is only focus on the actuators placement problem in structures vibration control, however the acting force´s effect direction awalys has been ignored, obviously, if piezoelectric actuator can effect in a better direction, a better effective result would be taken. The problem of piezoelectric actuators locations and corresponding configuration directions optimization in plate structure for vibration control is considered. Optimal actuator locations and corresponding configuration directions in large plate structures is a formidable task due to the combinatorial nature of the problem. In this paper, the performances of two algorithms are used and compared to determine their effectiveness in solving this design problem. The selected algorithms are GATSP(Genetic for the TSP) algorithm and HTTSP ( Hopfield-Tank for the TSP ) algorithm. In addition, in order to achieve better optimization result among variables of vibration response deformation precision,control energy and number of actuators, optimization control algorithm is used. The results show that GATSP can handle the actuator locations and corresponding configuration directions optimization problem better than HTTSP.
Keywords :
genetic algorithms; optimal control; piezoelectric actuators; plates (structures); travelling salesman problems; vibration control; Hopfield-tank for the TSP algorithm; actuators placement problem; configuration directions optimization; genetic for the TSP algorithm; piezoelectric actuator; plate structure vibration control system; traveling salesman problem; vibration response deformation; Acoustic distortion; Automatic control; Control systems; Genetic algorithms; Large-scale systems; Optimal control; Piezoelectric actuators; Robotics and automation; Shape control; Vibration control; GATSP algorithm; HTTSP algorithm; actuator; optimization; optimization control algorithm;
Conference_Titel :
Informatics in Control, Automation and Robotics (CAR), 2010 2nd International Asia Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-5192-0
Electronic_ISBN :
1948-3414
DOI :
10.1109/CAR.2010.5456890