关于maxwell/hfss的脚本控制
本帖最后由 妹控赵小翼 于 2020-7-7 19:59 编辑首先,maxwell/hfss自身的参数化建模分析功能、优化功能,能够满足多数用户的流程控制需求。但在某些时候,尤其是希望与其他软件或算法进行交互的场合中,使用脚本控制maxwell/hfss的需求也是存在的。像我个人,是用于类似模型的快速建立和统一后处理。当然,某些对二次开发需求更强的用户,可能会直接选用其他仿真软件,不需要折腾脚本。
我目前主要用的ansys electronics 2015.1,支持vbs和ironpython脚本,官方也给出了help文档。录制脚本功能,适用于多数简单需求,用户其实在缺乏vbs或python基础时,也能顾名思义地进行修改。但当希望进行灵活的流程控制时,希望代码复用而不是此次录制或者复制粘贴时,一行行写脚本或者改脚本都是高重复、低效率的工作。对于脚本控制的重度用户,有必要考虑使用更高效的脚本生成工具。
我个人倾向于使用IronPython,会把项目中用到的脚本,简单地封装成函数,然后通过传参调用的方式来参数化地、简洁地使用。即将录制的脚本作为底层,然后用封装函数甚至对象等更高层的方式去使用,能大大简化脚本开发工作量。(无疑,对于非重度用户,寻找、使用甚至不可避免地要调试工具,会花大量时间精力,得不偿失。)
在Github搜索现有的开源项目,发现HFSS的脚本库工作比Maxwell多很多。(使用“HFSS”和“ansys Maxwell”作为关键词,毕竟“maxwell”关键词搜出来的结果会有太多不相关内容。)尤其是WoodyBuendia fork自国外仍然在改进的HFSS-MATLAB-API项目,用户在Matlab中调用函数,会自动生成vbs脚本。data:image/png;base64,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**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**LoQezO31S1ZEdHV6azyO9IIQmvrEC5dNu/0MD9/PhRALnREa2ryHTttZJTG2eIKeHt5KU1eWyS3HbT5Ml0Q1LZ5wM0ZPH7lMD8wSnFTXr77tPXR6juuxkEt33b2dM3TJLd3JjNAyXX//KO2WZbvNP6bxtxa9aOMlum0jSaQ5FttpaPNh+vDqDD0zPEIHL0ZH3XKeXkacf200LSt+d4NOH9rll/c2/5jGDn1At0M80WcnzBovjc0fKc10pRjlyNtMS2eZwOC+m5ilecchlJGZm9CvccnNXfdidmo2LMfFmZwgcuPyljD1XjgfxK44Jq/BB73kqmPzdWf90mlcxmzcHpvO4j6yQNqmE+8Ts3T6iI/Zzz5Zm0pkVjiF+DSjuvgkTryCAAiAAAisiECPhdAdNysT9+g4MbKVjn+uYgnJwCUTJ2RGae/7fnnLJyOVUO58QPt/wktSo/TMi2/T**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**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**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**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**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**wJIBCav49hIQiAAAiAAAiAwAABBEIDYJAMAiAAAiAAAiAwfwIIhObvY1gIAiAAAiAAAiAwQACB0AAYJIMACIAACIAACMyfAAKh+fsYFoIACIAACIAACAwQ+B9vWiUtjA9mVwAAAABJRU5ErkJggg==
但个人觉得,使用matlab生成vbs脚本,间接控制maxwell/HFSS的方法,虽然概念上对熟悉Matlab的用户更友好,但由于脚本库不适用于新版本、底层功能不全等实践中经常遇到的问题,用户还是需要对vbs有所了解,必要时要能改写底层vbs代码生成指令。因此,我个人不太喜欢这种间接控制的方式。在需要用到vbs的特性时,可能需要在录制或matlab生成vbs脚本后,再手工修改。
我目前用不到vbs脚本特性,用IronPython就好了。Maxwell/HFSS自带IronPython解释器,也更便于用户进行开发。随着时间的发展,python社群更壮大,因此以后使用python可能得到的社群支持也会更多。
就HFSS而言,目前已经有一些部分可用的python封装脚本库,如pyHFSS、hycohanz、HFSS_PYTHON等项目,甚至有面向对象的,如hfss-modeler。而maxwell的脚本我暂时还没去查看源码。如果有新的maxwell/hfss用户使用这些脚本,通过反馈意见、协作开发等不同方式加入到开源社群中来,这些工具以后会越来越趁手。
最开始好像错误发布为空白页面了,请见谅。
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