Vargas-Rodriguez E, Guzman-Chavez AD, Guzman-Cabrera R, Florez-Fuentes AS. Implementation of a Fuzzy Inference System to Enhance the Measurement Range of Multilayer Interferometric Sensors.
SENSORS (BASEL, SWITZERLAND) 2022;
22:6331. [PMID:
36080789 PMCID:
PMC9460584 DOI:
10.3390/s22176331]
[Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 07/20/2022] [Revised: 08/15/2022] [Accepted: 08/20/2022] [Indexed: 06/15/2023]
Abstract
This work presents a novel methodology to implement a fuzzy inference system (FIS) to overcome the measurement ambiguity that is typically observed in interferometric sensors. This ambiguity occurs when the measurand is determined by tracing the wavelength position of a peak or dip of a spectral fringe. Consequently, the sensor measurement range is typically limited to the equivalent of 1 free spectral range (FSR). Here, it is demonstrated that by using the proposed methodology, the measurement range of this type of sensor can be widened several times by overcoming the ambiguity over some FSR periods. Furthermore, in order to support the viability of the methodology, it was applied to a couple of temperature interferometric sensors. Finally, experimental results demonstrated that it was possible to quintuple the measurement range of one of the tested sensors with a mean absolute error of MAE = 0.0045 °C, while for the second sensor, the measurement range was doubled with an MAE = 0.0073 °C.
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