DocumentCode :
414270
Title :
Genetic algorithm based optimization design of miniature piezoelectric forceps
Author :
Susanto, Ken ; Yang, Bingen
Author_Institution :
Aerosp. & Mech. Eng. Dept., Univ. of Southern California, Los Angeles, CA, USA
Volume :
2
fYear :
2004
fDate :
April 26-May 1, 2004
Firstpage :
1358
Abstract :
This paper studies about a simulation of a derived model for the steady-state force-deflection behavior of a miniature piezoelectric forceps actuator (PFA) based on complementary strain energy. Utilizing a genetic algorithm (GA) based as a design tool to simulate and optimize the physical design parameters of the PFA to get the optimum grasping force-deflection end tip of the PFA within desired physical constraints. Simulation studies of the optimized PFA parameters based on GA are presented. The piezoelectric forceps is remotely controlled miniature gripper and potentially to be used in tele-surgery, minimally invasive surgery, MEMS industrial assembly line, pick and place hazardous materials in tight and small space.
Keywords :
assembling; force sensors; genetic algorithms; grippers; hazardous materials; micromechanical devices; piezoelectric actuators; surgery; telecontrol; MEMS industrial assembly line; complementary strain energy; genetic algorithm; hazardous materials; miniature piezoelectric forceps actuator; minimally invasive surgery; optimization design; optimum grasping force deflection end tip; remotely controlled miniature gripper; simulation studies; steady state force deflection behavior; telesurgery; Algorithm design and analysis; Capacitive sensors; Constraint optimization; Design optimization; Force control; Genetic algorithms; Grippers; Minimally invasive surgery; Piezoelectric actuators; Steady-state;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Robotics and Automation, 2004. Proceedings. ICRA '04. 2004 IEEE International Conference on
ISSN :
1050-4729
Print_ISBN :
0-7803-8232-3
Type :
conf
DOI :
10.1109/ROBOT.2004.1308013
Filename :
1308013
Link To Document :
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