التفاصيل البيبلوغرافية
| العنوان: |
W-MOPSO in Adaptive Circuits for Blast Wave Measurements. |
| المؤلفون: |
Wen-Bin, You, Yong-Hong, Ding |
| المصدر: |
IEEE Sensors Journal; Apr2021, Vol. 21 Issue 7, p9323-9332, 10p |
| مستخلص: |
Optimizing the adaptive circuit of piezoelectric sensors is important in accurately measuring blast waves. This study analyzed the impact of the bandpass cut-off frequencies and quality factor of adaptive circuits on shock wave measurements. We proposed a Multi-objective particle swarm optimization based on weighted Pareto-dominance sort (W-MOPSO) for optimizing the multi-objective function of an adaptive circuit in order to improve precision during shock wave measurements. W-MOPSO obtained a Pareto-optimal solution set through Pareto-dominant sorting of global optimal solutions to the weighted sum of a multi-objective function. The relative mean error in the optimized adaptive circuit mostly ranged between −2% and +2%. Simulations were used to analyze the impact of the optimized adaptive circuit on shock wave measurements. The effectiveness of W-MOPSO was verified through a real-world experiment using a TNT explosive and blast wave gauges. W-MOPSO provided a basis for adapter circuit design and optimization in shock wave measurement. [ABSTRACT FROM AUTHOR] |
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