Title :
Neuro-fuzzy based compensation technique for capacitive pressure sensors
Author :
Salighehdar, A. ; Ghaisari, J.
Author_Institution :
Dept. of Electr. & Comput. Eng., Isfahan Univ. of Technol., Isfahan, Iran
Abstract :
A novel neuro-fuzzy based technique is proposed for enabling capacitive differential pressure sensors to operate in harsh environment. In the modeling, fuzzy rules are employed to create a look-up table. The ambient temperature has adverse effects on CPS output characteristic, by using this look-up table we have access to compensated value of differential pressure, Deltap. A test bench is designed and implemented to data acquisition in a real environment. The experimental results are being used to verify the performance of neuro-fuzzy based CPS model to readout differential pressure accurately in addition to compensate for the adverse effects of environmental temperature intelligently.
Keywords :
capacitive sensors; data acquisition; fuzzy control; neurocontrollers; pressure sensors; capacitive differential pressure sensors; data acquisition; environmental temperature; harsh environment; look-up table; neuro-fuzzy based compensation technique; Capacitance; Capacitive sensors; Energy consumption; Intelligent robots; Intelligent sensors; Pressure control; Sensor phenomena and characterization; Sensor systems; Table lookup; Temperature sensors; Intelligent and smart sensors; Nuro-fuzzy model; auto-compensation; capacitive pressure sensors; harsh environment;
Conference_Titel :
EUROCON 2009, EUROCON '09. IEEE
Conference_Location :
St.-Petersburg
Print_ISBN :
978-1-4244-3860-0
Electronic_ISBN :
978-1-4244-3861-7
DOI :
10.1109/EURCON.2009.5167774
