| 引用本文: | 杨彪,马红涛,杜婉,刘承,高皓.基于空间基函数优化组合的微波加热温度分布数值求解[J].控制理论与应用,2022,39(5):959~968.[点击复制] |
| YANG Biao,MA Hong-tao,DU Wan,LIU Cheng,GAO Hao.Numerical solution of microwave heating temperature distribution based on optimal combination of spatial basis functions[J].Control Theory and Technology,2022,39(5):959~968.[点击复制] |
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| 基于空间基函数优化组合的微波加热温度分布数值求解 |
| Numerical solution of microwave heating temperature distribution based on optimal combination of spatial basis functions |
| 摘要点击 908 全文点击 343 投稿时间：2021-04-17 修订日期：2022-04-21 |
| 查看全文 查看/发表评论 下载PDF阅读器 |
| DOI编号 10.7641/CTA.2021.10322 |
| 2022,39(5):959-968 |
| 中文关键词 微波加热 温度分布 数值求解 空间基函数 线性优化组合 数值仿真 |
| 英文关键词 microwave heating temperature distribution numerical solution spatial basis function linear optimal combination numerical simulation |
| 基金项目 国家自然科学基金项目(61863020)资助. |
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| 中文摘要 |
| 针对微波加热是一个多物理场各自演变及相互耦合的过程, 无法直接求得媒质温度分布偏微分方程(PDE)
解析解的问题, 本文提出一种快速及准确求解微波加热温度分布的新方法. 首先, 本文在无限维PDE降维到有限
维ODE温度模型的基础上, 分析了ODE温度模型阶次选择与温度分布求解精度量化关系. 其次, 通过自适应变异粒
子群算法(AMPSO)优化误差函数近似得到最优的空间基函数转换矩阵, 利用该矩阵将空间基函数进行线性优化组
合, 进一步降低ODE模型阶数, 进而使得在一定误差范围内可以更快速的求解微波加热过程中媒质的温度分布. 再
次, 通过数值仿真实验证明, 温度分布求解误差主要产生于模型阶次的选择, 且优化后的低维ODE模型的温度分布
精度相对误差控制在1.64%以内, 求解速度提升72.2%. 最后, 使用多物理场耦合有限元方法求解微波加热PDE温度
模型, 进一步验证了优化后的低维ODE温度模型的准确性, 充分验证了本文方法的有效性. |
| 英文摘要 |
| A new method is proposed for fast and accurately solving temperature distribution in this paper, aiming at the
problem that microwave heating is a process of the evolution and mutual coupling of multiple physical fields and cannot to
directly obtain the analytical solution of the PDE of medium temperature distribution. Firstly, we analyzed the quantitative
relationship between the order selection of ODE temperature model and the solution accuracy of temperature distribution
based on the dimensionality reduction of infinite dimensional PDE to finite dimensional ODE model. Secondly, the approximate
optimal spatial basis function conversion matrix is obtained using optimizing the error function by AMPSO. The
spatial basis functions are linearly optimized and combined by using this matrix to further reduce the order of ODE model.
Furthermore, the temperature distribution of materials during microwave heating process can be solved more quickly within
a certain error range. Thirdly, the simulation experiment shows that the solution error of temperature distribution mainly
comes from the selection of model order, and the relative error of the temperature distribution accuracy of the optimized
low dimensional ODE model is controlled within 1.64%, and the solution speed can be improved by 72.2%. Finally, the
finite element method is used to solve the microwave heating PDE temperature model, which further verifies the accuracy
of the optimized low dimensional ODE temperature model and fully verifies the effectiveness of this method. |
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