HFSS优化设计教程：Ansoft Optimetrics 中文解析

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"HFSS中文仿真例子~免费-综合文档" 本资源是一份关于HFSS（High Frequency Structure Simulator）优化问题的教程，由Ansoft公司提供。HFSS是一款强大的电磁场仿真软件，广泛应用于微波、光学、声学以及电子封装等领域的三维电磁场模拟。Ansoft Optimetrics是HFSS中的一个功能模块，它专注于设计优化和参数化研究。教程"An HFSS Optimetrics Problem"旨在帮助用户了解如何在HFSS中使用Optimetrics进行设计优化。该教程可能包含以下主要内容： 1. Optimetrics简介：Optimetrics工具集提供了一种系统性的方法来优化设计参数，寻找满足特定性能指标的最佳设计方案。它整合了HFSS的仿真能力与优化算法，可以处理多变量和多目标优化问题。 2. 设置优化问题：用户将学习如何定义优化目标（如最大化增益、最小化反射损耗等）、约束条件以及设计变量。这通常包括选择需要优化的几何参数、材料属性或电路参数。 3. 优化算法：教程可能会涵盖Optimetrics支持的不同优化算法，如梯度法、遗传算法、粒子群优化等，并解释它们的工作原理和适用场景。 4. 结果分析：完成优化运行后，用户将学习如何解析和评估结果，包括查看优化过程的历史记录、比较不同迭代方案的性能以及提取关键性能参数。 5. 注意事项和警告：文档中提到的“Notice”部分强调，文档内容可能随时更改，且Ansoft不对其中的错误或因使用该材料导致的间接或附带损失承担责任。这提示用户在实际应用时需要根据最新的软件版本和文档更新信息。 6. 版权信息：该文档包含了Ansoft公司的版权声明，表明所有权利均保留。同时，提到了其他公司的商标信息，如Motif、UNIX、Windows和OpenWindows，这些都是在计算机行业中具有重要意义的商标。这个资源对于HFSS和Optimetrics的新手用户来说是一份宝贵的指南，通过它，用户可以掌握如何利用HFSS进行高效的设计优化，提升产品性能，缩短研发周期。对于已经在使用HFSS的工程师来说，这份教程也能帮助他们更深入地理解和利用Optimetrics模块，从而在复杂的设计挑战中找到最佳解决方案。

Introduction 1-1

Introduction

Ansoft Optimetrics is an analytical tool that enables you to conveniently per-

form variable (optimization and parametric) analyses of models. It allows you

to simulate design variations using a single model, instead of having to

explicitly set up and solve a series of models.

Ansoft Optimetrics allows you to:



Identify the basic design parameters that are to be varied during the

simulation — such as geometric dimensions, material properties,

boundary conditions, excitations, and solution frequency.



Define a cost function for which the optimizer will attempt to find the

minimum value, using a quasi-Newton method for optimization.



Specify the values to which each design parameter is set during the

solution, generally by “sweeping” them through a range of values. This

lets you define a series of variations on the original, “nominal” model,

each of which will be solved during the parametric sweep.

The software then automatically sets the design parameters to the values you

specified, and computes a solution for each variation on the nominal model.

After the parameter sweep is completed, you can analyze the results using the

software’s post-processing functions.

This Getting Started guide demonstrates how to use Ansoft Optimetrics in

conjunction with Ansoft HFSS.

Nominal and Parametric Models

1-2 Introduction

Nominal and Parametric Models

Ansoft Optimetrics breaks a project down into two parts — a nominal model

and a parametric model.

Nominal Model

To perform a parametric analysis, you must first create a nominal model.

Essentially, it is an ordinary model that has been parameterized, and serves

as the model on which the parametric analysis is based.

The nominal model is created much like any other model, except that the

design parameters that will be changed during a parametric sweep must be

defined as variables. The methods for doing this depend on the type of vari-

able. No variables need to be defined if you do not plan to run a parametric

analysis on a model.

The nominal model’s field solution is computed independently of any para-

metric solutions, although both may use the same set of solution criteria.

When computing solutions, the simulator uses the original values for all

design variables that were specified when the model was created, ignoring

anyvaluestheymightbesettoduringaparametricsweep.

Parametric Model

The parametric model consists of a series of variations on the nominal model,

in which the design variables are assigned a range specified when you set up

the parametric sweep. The number of variations that can be defined is limited

only by your computing resources and imagination.

Each variant on the nominal model is known as a “parametric setup.” It rep-

resents the model corresponding to the changing value of each variable. Dur-

ing the solution process, field solutions are computed for each setup, and

post-processing macros are executed using the results of the setup’s field

solution. You can then compare the results obtained for each setup to deter-

mine how each design change affects the model’s performance. (If there is a

large number of solved setups, changing the values of more than one or two

variables at a time may make it difficult to isolate the effects of an individual

design variation.)

Ansoft Optimetrics allows you to define a cost function and run an optimiza-

tion analysis, or to define your own table of setups in which you explicitly

control the values of the variables. During the optimization process, the opti-

mizer creates its own setups in order to find the minimum of the user-defined

cost function.

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