A Temperature-Independent Interrogation Technique for FBG Sensors Using Monolithic Multilayer Piezoelectric Actuators
| Autor: | Jose Antonio Siqueira Dias, Alex Dante, Rodrigo M. Bacurau, Elnatan Chagas Ferreira, Anderson Wedderhoff Spengler |
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| Rok vydání: | 2016 |
| Předmět: |
Materials science
business.industry Firmware Physics::Optics Optical power 02 engineering and technology computer.software_genre Convolution Wavelength 020210 optoelectronics & photonics Optics Fiber Bragg grating 0202 electrical engineering electronic engineering information engineering Optoelectronics Electrical and Electronic Engineering business Instrumentation Sensitivity (electronics) computer Voltage Measured quantity |
| Zdroj: | IEEE Transactions on Instrumentation and Measurement. 65:2476-2484 |
| ISSN: | 1557-9662 0018-9456 |
| Popis: | In this paper, a temperature-independent technique for measurements of ac signals, such as voltage and electrical current, with fiber Bragg grating (FBG) sensors is presented. This technique is based on a twin-grating scheme, in which the measured quantity is obtained from the optical power of convolution between a sensing FBG and a tunable FBG. The proposed interrogator employs a low-voltage monolithic multilayer piezoelectric actuator (MMPA) to sweep the tunable FBG over the wavelength range of the sensing FBG, in order to obtain the convolution function accurately. A dedicated microcontrolled optoelectronic system with a firmware-based tracking routine is responsible for keeping the tunable FBG following the sensing FBG over temperature-induced wavelength shifts with subpicometric resolution, while the dc level of convolution is controlled precisely at the highest sensitivity point of operation. The MMPA employed allows the tracking of the tunable FBG after the sensing FBG over a maximum temperature difference that ranges from −29 °C to +90 °C. The proposed interrogator presents lower cost compared with the systems that employ frequency-scanning devices, such as high-speed Fabry-Perot tunable filters. |
| Databáze: | OpenAIRE |
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