Title :
Design optimization of an inertial sensor by genetic algorithms
Author :
Tam, S.M. ; Cheung, K.C.
Author_Institution :
Dept. of Mech. Eng., Hong Kong Univ., Hong Kong
Abstract :
The paper describes the optimization of the design of a sensor which performs parts inspection by measuring the inertial properties of a part. The sensor comprises a platform supported on a column which is fixed to a rigid base. The part under inspection is attached to the platform to form a single body. By measuring the static deflections of the column and the natural frequencies of vibration of the system, it is possible to determine the mass and the spatial location of the centre of mass of the part. The information obtained is used to distinguish defective parts from good ones. The application of genetic algorithms to determine the optimal values of design parameters is presented
Keywords :
design engineering; genetic algorithms; inertial systems; inspection; mass measurement; sensors; spatial variables measurement; defective parts; design optimization; design parameters; genetic algorithms; inertial properties; inertial sensor; mass; natural frequencies; optimal values; parts inspection; spatial location; static deflections; vibration; Algorithm design and analysis; Design optimization; Genetic algorithms; Inspection; Machine vision; Mechanical sensors; Sensor systems; Shape measurement; Signal resolution; Vibration measurement;
Conference_Titel :
Evolutionary Computation, 1996., Proceedings of IEEE International Conference on
Conference_Location :
Nagoya
Print_ISBN :
0-7803-2902-3
DOI :
10.1109/ICEC.1996.542650
