Title :
Development of ANN inverse compensator for two-dimensional force sensor
Author :
Ding, Yuhan ; Dai, Xianzhong ; Ma, Chunmiao
Author_Institution :
Key Lab. of Meas. & Control of CSE, Southeast Univ., Nanjing, China
Abstract :
In order to improve the dynamic performance as well as eliminate the coupling between the two dimensions of the oblate ring two-dimensional force sensor, this paper presents an ANN (artificial neural network) inverse compensating method, based on which we construct an ANN inverse compensator. The compensator is composed of several differentiators and a static ANN. By cascading the ANN inverse compensator with the original sensor, a compounded measurement system is then established. The experiment results show that the coupling phenomenon of the compounded system almost disappears and the dynamic performance is ameliorated remarkably compared with those of the original sensor.
Keywords :
compensation; computerised instrumentation; force sensors; neural nets; ANN inverse compensator; artificial neural network; compounded measurement system; coupling phenomenon; differentiators; inverse compensating method; oblate ring two-dimensional force sensor; static ANN; Artificial neural networks; Automation; Bridge circuits; Capacitive sensors; Force measurement; Force sensors; Mathematical model; Mechanical sensors; Sensor phenomena and characterization; Sensor systems;
Conference_Titel :
Information and Automation, 2009. ICIA '09. International Conference on
Conference_Location :
Zhuhai, Macau
Print_ISBN :
978-1-4244-3607-1
Electronic_ISBN :
978-1-4244-3608-8
DOI :
10.1109/ICINFA.2009.5204913