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