Simulation, modeling and optimization of devices, circuits and systems

器件、电路和系统的仿真、建模和优化

• 批准号: 7239-2006
• 负责人: Bandler, John
• 金额: $ 3.64万
• 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: 2008
• 资助国家: 加拿大
• 起止时间: 2008-01-01 至 2009-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=389484
• 关键词: Simulation; modeling; optimization; devices; circuits

First-pass success and time-to-market are crucial for manufacturability-driven design of telecommunication circuits.  This necessitates powerful, accurate and fast computer-aided design (CAD) tools for component modeling, circuit simulation and automated design optimization.  Simulations based directly on physics and electromagnetics (EM) are traditionally computationally intensive, but offer high accuracy, handle arbitrary geometrical shapes and are valid to millimeterwave frequencies.  Their direct exploitation in optimization, statistical design and design with tolerances remains challenging. Pioneering work in design centering, tolerance and statistical design for manufacturability, tuning and yield-driven optimization (IEEE MTT-Society 2004 Microwave Application Award) will be broadened into a flexible theoretical and software framework for computer-aided engineering of wireless, radio-frequency (RF) and microwave components and circuits.  The framework will be based on our novel space-mapping optimization technology, which we pioneered in 1993 and which has already resulted in diverse and significant modeling and design successes in the engineering community in Canada and internationally.  New algorithms are expected to deliver in a handful of fine or high-fidelity model evaluations the accuracy expected from classical direct optimization using sequential linear programming. We will continue to work with Dr. Kaj Madsen (Technical University Denmark) on the convergence theory for space-mapping algorithms.  This should help engineering practitioners in developing or discriminating between coarse engineering models.  We will develop prototype software engines which exploit both full-wave EM simulators and fast, empirical, coarse or surrogate device models.  We will continue to explore links with artificial neural network technology for device modeling, e.g., neuro space mapping (Q.J. Zhang).  We will develop efficient, robust algorithms for EM-based optimization exploiting space mapping, available adjoint sensitivities, surrogate models (John Dennis) and the trust region methodology.

对于可制造性驱动的电信电路设计而言，一次成功和上市时间至关重要。这需要功能强大、准确和快速的计算机辅助设计（CAD）工具来进行元件建模、电路仿真和自动设计优化。直接基于物理和电磁（EM）的仿真传统上是计算密集型的，但提供高精度，可处理任意几何形状，适用于毫米波频率。在优化、统计设计和公差设计中直接利用它们仍然具有挑战性。在设计定心、公差和统计设计方面的开创性工作，以实现可制造性、调整和成品率驱动的优化（IEEE MTT-Society 2004 Microwave Application Award）将扩展为一个灵活的理论和软件框架，用于无线、射频（RF）和微波元件和电路的计算机辅助工程。该框架将基于我们新颖的空间映射优化技术，我们在1993年率先提出了这一方法，并已在加拿大和国际上的工程界取得了各种重要的建模和设计成功。新算法有望在少数精细或高保真的模型评估中提供使用顺序线性规划的经典直接优化所期望的准确性。我们将继续与Kaj Madsen博士合作（技术大学丹麦）的空间映射算法的收敛理论。这将有助于工程实践者在开发或区分粗糙的工程模型。我们将开发原型软件引擎，利用全波EM模拟器和快速，经验，粗糙或替代设备模型。我们将继续探索与人工神经网络技术的联系，用于设备建模，例如，神经空间映射（Q. J. Zhang）。我们将开发基于EM的优化的高效，鲁棒的算法，利用空间映射，可用的伴随灵敏度，代理模型（John Dennis）和信赖域方法。