High-fidelity simulation, modeling, and optimization of devices, circuits, and systems exploiting engineering surrogates

利用工程替代品对设备、电路和系统进行高保真仿真、建模和优化

• 批准号: 7239-2011
• 负责人: Bandler, John
• 金额: $ 4.2万
• 依托单位: McMaster University
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2015
• 资助国家: 加拿大
• 起止时间: 2015-01-01 至 2016-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=568508
• 关键词: fidelity; simulation; modeling; optimization; devices

First-pass success and time-to-market are crucial for manufacturability-driven design of modern telecommunication circuits. This requires powerful, accurate and fast CAD tools for component modeling, circuit simulation, and automated design optimization. High-fidelity or "fine" models based directly on physics and electromagnetics offer accuracy and handle arbitrary geometrical shapes. However, for design optimization, statistical (yield-driven) optimization and design with tolerances, they are computationally intensive, even prohibitive. To address this issue we focus on iteratively refined, physically-based (engineering) surrogates: we take the high-fidelity simulator out of the classical optimization loop. Our expertise in design centering, tolerance assignment and statistical design for manufacturability, tuning and yield-driven optimization (recognized by the IEEE MTT-Society's 2004 Microwave Application Award) will evolve into a flexible theoretical and software framework for electromagnetics-based, computer-aided engineering of wireless, radio-frequency, and microwave components and circuits. This framework will encompass the surrogate methodology we pioneered in 1993 called "space mapping," a process which continues to yield significant modeling and design successes in the engineering community in Canada and internationally. For example, our special case of "port tuning" has now been adopted by major electromagnetic software vendors. The next phase of research and development must include available adjoint sensitivities, in addition to the physics-based surrogate models and a trust region methodology, for even more effective device modeling and design optimization. Our algorithms should deliver, in only a handful of fine model evaluations, the accuracy expected from classical direct optimization. We will collaborate with Dr. Kaj Madsen (Technical University of Denmark) and Dr. S. Koziel (University of Reykjavik) on efficient, robust algorithms and convergence theories and applications of surrogate-based optimization. We will work closely with Dr. Q.J. Zhang (Carleton), Dr. Natalia K. Nikolova (McMaster), and Dr. M.H. Bakr (McMaster), and their respective HQP groups.

首批成功和上市时间是现代可制造性驱动设计的关键 电信线路。这就需要强大、准确、快速的CAD工具来进行元件建模、电路仿真和自动化设计优化。直接基于物理学和电磁学的高保真或“精细”模型可提供精确度，并可处理任意几何形状。然而，对于设计优化、统计(成品率驱动)优化和公差设计，它们的计算量很大，甚至是令人望而却步的。为了解决这个问题，我们将重点放在迭代改进的、基于物理的(工程)代理上：我们将高保真模拟器从经典的优化循环中删除。我们在设计对中、公差分配以及针对可制造性、调谐和成品率驱动的优化的统计设计方面的专业知识(获得IEEE MTT-Society的2004年微波应用奖认可)将发展成为一个灵活的理论和软件框架，用于无线、射频和微波组件和电路的基于电磁学的计算机辅助工程。这一框架将包含我们在1993年开创的称为“空间测绘”的代理方法，这一过程继续在加拿大和国际工程界产生重大的建模和设计成功。例如，我们的特殊情况下的“端口调整”现在已经被主要的电磁软件供应商采用。除了基于物理的代理模型和信赖域方法之外，下一阶段的研发还必须包括可用的伴随灵敏度，以实现更有效的器件建模和设计优化。我们的算法应该在少数几个精细的模型评估中提供经典直接优化所期望的准确性。我们将与丹麦技术大学的Kaj Madsen博士和雷克雅未克大学的S.Koziel博士合作，研究高效、稳健的算法以及基于代理的优化的收敛理论和应用。我们将与张启杰博士(Carleton)、Natalia K.Nikolova博士(McMaster)和M.H.Bakr博士(McMaster)以及他们各自的HQP小组密切合作。