ITR: Fast Approximate Simulation Methods for Rapid Design and Test of Complex Electrical Systems

随着当今电力系统的高度系统级集成，迫切需要用于复杂混合技术系统的仿真和测试工具。由于运行时间较长，诸如SPICE之类的电路模拟器不足以模拟大型电路。即使是行为级的模拟也太慢了，因为需要大量的模拟运行来做一些简单的事情，如设计居中和故障模拟。这项研究的重点是开发新的仿真算法，显著加快复杂混合信号/混合技术系统的设计和测试过程。这些算法将快速评估混合技术系统设计扰动的优点。关键的观察结果是，设计摄动对设计相对性能的影响可以通过近似模拟方法而不是昂贵的精确模拟来准确地评估。这些技术有望将复杂系统优化和测试优化的设计转换评估速度提高三个数量级。该项目有三个具体目标。首先，它将开发混合技术系统的快速时频域近似数值模拟技术。其次，它将开发混合技术系统的快速时频域近似空间模拟算法，方法是将系统划分为可在“开环”条件下模拟的块。第三，它将开发快速时频域近似数值和空间模拟技术。该项目将通过结合前两种技术来实现这一点。

With the high levels of system-level integration for electrical systems available today, tools for simulation and test of complex mixed-technology systems are urgently needed. Circuit simulators such as Spice are not adequate for simulating large circuits due to large run times. Even behavioral level simulation is too slow for the large numbers of simulation runs needed to do simple things such as design centering and fault simulation. The key thrust of this research is to develop new simulation algorithms that significantly speed up the process of design and test of complex mixed-signal/mixed-technology systems. The algorithms will quickly assess the merits of mixed-technology system design perturbations. The key observation is that the impact of design perturbations on the relative performance of the designs can be assessed accurately by approximate simulation methods, rather than by expensive exact simulation. These techniques are expected to speed up evaluation of design transformations for optimization of complex systems and test optimization by three orders of magnitude.The project has three specific goals. First, it will develop techniques for fast time and frequency domain approximate numerical simulation of mixed-technology systems. Second, it will develop algorithms for fast time and frequency domain approximate spatial simulation of mixed-technology systems by partitioning the system into blocks that can be simulated under "open-loop" conditions. Third, it will develop techniques for fast time and frequency domain approximate numerical and spatial simulation. The project will accomplish this by combining the first two techniques.