基于一致性理论的多源微波加热温度均匀性优化
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1. 昆明理工大学 信息工程与自动化学院,昆明 650500;2. 昆明理工大学 云南省人工智能重点实验室, 昆明 650500;3. 昆明理工大学 非常规冶金教育部重点实验室, 昆明 650093

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E-mail: ybiaocn@163.com.

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TP273

基金项目:

国家自然科学基金项目(61863020).


Temperature uniformity optimization of multi-source microwave heating based on consistency theory
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1. Faculty of Information Engineering and Automation,Kunming University of Science and Technology,Kunming 650500,China;2. Yunnan Key Laboratory of Artificial Intelligence,Kunming University of Science and Technology,Kunming 650500,China;3. Key Laboratory of Unconventional Metallurgy of Ministry of Education,Kunming University of Science and Technology,Kunming 650093,China

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    摘要:

    在使用多微波源阵列进行空间功率合成的微波应用装置时,如何协同多微波源馈入功率的状态信息以利用温度分布的自组织特性优化温度均匀性是研究的重点.为此,一方面,提出微波源构成智能体的必要要素,并构建技术方案.在此基础上,引入基于代数图论的二阶非全连接通信拓扑一致性算法协同多微波源的功率馈入状态信息,保证在利用自组织特性优化温度分布的过程中不会有新的热点产生;另一方面,使用有限元方法,构建解决整型变量和连续型变量混合优化的数值计算模型,开展优化温度场分布均匀性的有效计算.最后通过仿真实验验证微波源智能体化方案的有效性,数值计算结果表明:所提模型较通用加热模型在各水平和铅垂截面能够分别提升24.3%sim55.5%和20.4%sim82.9%的均匀性;同时能提升10.0%sim43.7%的热能转化效率.以上结果验证了所提基于一致性理论的多源微波加热温度均匀性优化方法是可行且高效的.

    Abstract:

    In a microwave application device that uses a multi-microwave source array for spatial power synthesis, how to coordinate the feed-in power status information of multiple microwave sources to use the self-organization characteristics of temperature distribution to optimize temperature uniformity is the focus of this research.For this reason, on the one hand, this paper proposes the necessary elements for microwave sources to form an agent and constructs a technical solution.On this basis, the second-order non-fully connected communication topology consensus algorithm based on the algebraic graph theory is introduced to cooperate with the power feed state information of multiple microwave sources to ensure that there will be no new hot spots in the process of using self-organization characteristics to optimize temperature distribution.On the other hand, the finite element method is used to construct a numerical calculation model that solves the mixed optimization of integer variables and continuous variables.The effective calculations are carried out to optimize the uniformity of temperature field distribution.The simulation experiment verifies the effectiveness of the microwave source intelligentization scheme. The numerical calculation results show that the proposed model can improve the uniformity of 24.3%sim55.4% and 20.4%sim82.9% at each horizontal and vertical section respectively compared with the general heating model.Simultaneously, the thermal energy conversion efficiency can be improved by 10.0%sim43.7%.The above results verify that the proposed multi-source microwave heating temperature uniformity optimization method based on the consistency theory is feasible and efficient.

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杨彪,高皓,李鑫培,等.基于一致性理论的多源微波加热温度均匀性优化[J].控制与决策,2023,38(4):989-998

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  • 在线发布日期: 2023-03-22
  • 出版日期: 2023-04-20
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