2016
DOI: 10.1051/ijmqe/2016019
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Development of the PSO method for the determination of the dynamic response of a pyroelectric sensor

Abstract: Abstract. We modeled a pyroelectric sensor by a current source connected in parallel with output impedance. The dynamic behavior of the sensor is described using a transfer function designed using the MATLAB Simulink environment. The transfer function parameters are optimized using the optimization algorithm Particle Swarm Optimization PSO implemented in the MATLAB environment. This optimization is performed from a comparison with the measured signal. The transfer function thus determined is used to determine … Show more

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Cited by 3 publications
(3 citation statements)
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“…The theoretical and experimental pyroelectric current has been shown in Figure 12 for the PZT film which is annealed at 650 °C. The fitted thermal time constant which is as determined from fitted data is found to be 0.005 s. 44 The theoretical results are well matched with the experimental values.…”
Section: Resultssupporting
confidence: 68%
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“…The theoretical and experimental pyroelectric current has been shown in Figure 12 for the PZT film which is annealed at 650 °C. The fitted thermal time constant which is as determined from fitted data is found to be 0.005 s. 44 The theoretical results are well matched with the experimental values.…”
Section: Resultssupporting
confidence: 68%
“…Theoretical modeling in LAPLACE domain.-To verify the experimental results, theoretical simulation are performed to simulate electrical response of the sample in response to temperature gradient using MATLAB. 43 Extending the idea of Laplace domain, the transfer functions are used to describe each conversion stage from the thermal energy to electrical energy (Figure 12) in the similar manner as reported by Raouadi et al(2016). 44 Periodic heat flux is provided to the sample and a temperature gradient is given to the sample through thermal fluctuation in this work.…”
Section: Resultsmentioning
confidence: 99%
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