True-temperature inversion algorithm for a multi-wavelength pyrometer based on fractional-order particle-swarm optimization
Herein, a method of true-temperature inversion for a multi-wavelength pyrometer based on fractional-order particle-swarm optimization is proposed for difficult inversion problems with unknown emissivity. Fractional-order calculus has the inherent advantage of easily jumping out of local extreme valu...
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| Veröffentlicht in: | Nanotechnology and Precision Engineering Jg. 7; H. 1; S. 1 - 8 |
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American Institute of Physics
01.03.2024
School of Electromechanical and Automotive Engineering,Yantai University,Yantai 264005,China%Liangshan Mining Co.,Ltd.,Huili 615141,China AIP Publishing LLC |
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| Abstract | Herein, a method of true-temperature inversion for a multi-wavelength pyrometer based on fractional-order particle-swarm optimization is proposed for difficult inversion problems with unknown emissivity. Fractional-order calculus has the inherent advantage of easily jumping out of local extreme values; here, it is introduced into the particle-swarm algorithm to invert the true temperature. An improved adaptive-adjustment mechanism is applied to automatically adjust the current velocity order of the particles and update their velocity and position values, increasing the accuracy of the true temperature values. The results of simulations using the proposed algorithm were compared with three algorithms using typical emissivity models: the internal penalty function algorithm, the optimization function (fmincon) algorithm, and the conventional particle-swarm optimization algorithm. The results show that the proposed algorithm has good accuracy for true-temperature inversion. Actual experimental results from a rocket-motor plume were used to demonstrate that the true-temperature inversion results of this algorithm are in good agreement with the theoretical true-temperature values. |
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| AbstractList | Herein, a method of true-temperature inversion for a multi-wavelength pyrometer based on fractional-order particle-swarm optimization is proposed for difficult inversion problems with unknown emissivity. Fractional-order calculus has the inherent advantage of easily jumping out of local extreme values; here, it is introduced into the particle-swarm algorithm to invert the true temperature. An improved adaptiveadjustment mechanism is applied to automatically adjust the current velocity order of the particles and update their velocity and position values, increasing the accuracy of the true temperature values. The results of simulations using the proposed algorithm were compared with three algorithms using typical emissivity models: the internal penalty function algorithm, the optimization function (fmincon) algorithm, and the conventional particle-swarm optimization algorithm. The results show that the proposed algorithm has good accuracy for truetemperature inversion. Actual experimental results from a rocket-motor plume were used to demonstrate that the true-temperature inversion results of this algorithm are in good agreement with the theoretical true-temperature values. Herein, a method of true-temperature inversion for a multi-wavelength pyrometer based on fractional-order particle-swarm optimization is proposed for difficult inversion problems with unknown emissivity. Fractional-order calculus has the inherent advantage of easily jumping out of local extreme values; here, it is introduced into the particle-swarm algorithm to invert the true temperature. An improved adaptive-adjustment mechanism is applied to automatically adjust the current velocity order of the particles and update their velocity and position values, increasing the accuracy of the true temperature values. The results of simulations using the proposed algorithm were compared with three algorithms using typical emissivity models: the internal penalty function algorithm, the optimization function (fmincon) algorithm, and the conventional particle-swarm optimization algorithm. The results show that the proposed algorithm has good accuracy for true-temperature inversion. Actual experimental results from a rocket-motor plume were used to demonstrate that the true-temperature inversion results of this algorithm are in good agreement with the theoretical true-temperature values. |
| Author | Sun, Zhuo Liu, Jiasong Liang, Lei Wang, Yongsheng Liang, Mei Zhang, Long |
| AuthorAffiliation | School of Electromechanical and Automotive Engineering,Yantai University,Yantai 264005,China%Liangshan Mining Co.,Ltd.,Huili 615141,China |
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| Cites_doi | 10.1016/j.measurement.2016.10.033 10.1364/ao.53.006830 10.3390/app10082888 10.1364/oe.21.030964 10.1364/oe.25.030560 10.3390/app112411583 10.1088/1361-6501/acc047 10.1016/j.cja.2020.09.039 10.1016/j.infrared.2014.05.016 10.1016/j.measurement.2014.11.019 10.1063/1.4962036 10.1063/5.0119009 10.1016/j.measurement.2019.02.084 10.1063/1.3509397 10.1016/j.infrared.2004.03.002 10.1364/oe.24.019185 10.1088/2631-8695/ac8417 10.1063/1.1142133 10.1016/j.anucene.2019.106982 10.1007/s10765-016-2169-3 10.1007/s10765-005-6724-6 |
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| SubjectTerms | Accuracy Algorithms Emissivity Extreme values Optimization Particle swarm optimization Penalty function Radiation Temperature Velocity |
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