Multi-objective optimization and parameter uncertainty in the design of low frequency electromagnetic devices and systems

低频电磁系统（电动机和发电机、传感器、执行器等）对现代社会的运转至关重要事实上，据估计，平均每个家庭拥有数百个这些设备，这些设备分布在娱乐系统、计算设备、家用电器、汽车等之间。它们是能源的主要用户（包括其制造和使用）和原材料，因此，重要的是，为这种系统的设计者提供基于计算机的仿真工具，给定的设备，并寻找一个特定的设备，可以提供最佳的性能，同时提高能源效率和降低生产成本。例如，为了提供真实的电动机的物理精确模型，需要考虑电磁、热、结构和机械效应之间的相互作用。为了提高效率，需要对所有可能的设计进行有效的搜索，并对可以做出的各种设计决策进行检查。为了降低建造成本，需要一种模型，该模型可以考虑制造过程中的差异，例如尺寸误差和材料特性变化。在这里提出的工作的目标是创建组件，这将允许这样的模拟和设计过程被实施。正在开发的算法和软件架构将针对工程师的台式机或笔记本电脑上越来越流行的新计算机架构，即具有大内存和大容量磁盘的多核处理器。这种架构提供了一个新的模拟环境，在现有的分析包中所做的许多假设可能不再成立。如果成功的话，拟议中的研究结果将把目前的设计时间减少到几个小时，这意味着第一个物理原型将是唯一需要的。预计这项赠款资助的工作将培训至少四名博士。三个硕士生。

Low frequency electromagnetic systems (electric motors and generators, sensors, actuators, etc.) are vital to the functioning of modern society. In fact, it is estimated that an average family owns several hundred of these devices distributed between entertainment systems, computing devices, domestic appliances, automobiles, etc. They are a major users of energy (both in their manufacture and use) and raw materials and, as such, it is important that designers of such systems are provided with computer based simulation tools which can both accurately predict the performance of a given device and search for a particular device which can provide the best performance, while increasing the energy efficiency and reducing production costs. To provide a physically accurate model of a real electric motor, for example, requires that the interactions between electromagnetic, thermal, structural and mechanical effects are taken into account. To improve efficiency requires an effective search of all the possible designs and an examination of the various design decisions which can be made. To reduce the cost of construction requires a model which can take into account variances in manufacturing such as errors in dimensions and changes in material properties. The goal of the work being proposed here is to create the components which will allow such a simulation and design process to be implemented. The algorithms and software architectures being developed will be targeted at the new computer architectures which are becoming prevalent on an engineer's desktop or laptop computer, i.e. a multi-core processor with a large memory and massive disks. This architecture provides a new simulation environment where many of the assumptions made in existing analysis packages may no longer hold. If successful, the results of the research being proposed will reduce current design times, which run into days and weeks of computer effort, to a few hours and will mean that the first physical prototype built will be the only one needed. It is expected that the work funded by this grant will result in the training of at least four Ph.D. and three Master's students.