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基于遗传算法的空间电子设备板级热设计
资料介绍
为了尽量避免空间电子设备的局部过热和热应力集中现象,提出了基于遗传算法的元器件布局优化和热设计方法。针对某一空间光学遥感器电箱内的电路板,建立了电路板的热阻网络模型。以元器件温度均方差为目标函数,采用遗传算法获得电路板上14个布局不规则,外形尺寸和功耗不一致的元器件优化布局,并在此基础上进行了针对性的散热设计。I-DEAS软件的热仿真结果表明,优化后的各器件的温度均方差改善了47.2%,最高温度降低了19.5%,验证了布局算法的有效性和热设计的合理性。上述优化设计方法与经验布局设计法相比,能有效改善电路板热环境,减少设计的盲目性。
In order to reduce the local high temperature and local stress in space electronic devices as much as possible, a layout optimization and thermal design method based on genetic algorithm is proposed. Take a Printed Circuit Board(PCB) in a space optical instrument as an analysis object, its thermal resistance network model was constructed, and the mean square error of components’ temperature was formulated as the objective function. Then, genetic algorithm was adopted to obtain an optimized layout of 14 components which with irregular layout, different boundary conditions and power consumptions. Based on the optimized layout, thermal design can be more specific. Thermal simulation results gained by I-DEAS software show that, the mean square error of components’ temperature improves by 47.2%, and the maximum temperature decreases by 19.5%, which validates the effectiveness of the algorithm and the rationality of the thermal design. Compared with the layout and thermal design by experience, this method can improve the PCB’s thermal environment and reduce the blindness during thermal design effectively.
部分文件列表
| 文件名 | 大小 |
| 基于遗传算法的空间电子设备板级热设计.pdf | 4M |
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