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

随着当今电气系统的高水平系统级集成，迫切需要复杂混合技术系统的仿真和测试工具。由于运行时间长，Spice等电路模拟器不适合模拟大型电路。即使是行为层面的模拟对于进行设计定心和故障模拟等简单工作所需的大量模拟运行来说也太慢了。本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。该算法将快速评估混合技术系统设计摄动的优点。关键的观察是，设计扰动对设计相对性能的影响可以通过近似模拟方法准确地评估，而不是通过昂贵的精确模拟。预计这些技术将加速复杂系统优化和测试优化的设计转换评估，提高三个数量级。该项目有三个具体目标。首先，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，它将通过将系统划分为可以在“开环”条件下模拟的块来开发混合技术系统的快速时频域近似空间仿真算法。第三，发展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.