Acceleration of Dynamic Process Simulation with Hierarchical Control by Steady State Leap

Abstract

The dynamic simulation of process manufacturing system with hierarchical control of multiple time scales may have the problem of scale gap, which presents a major bottleneck to the global simulation speed. This paper presents a novel approach of steady state leap (SSL) to accelerate the system simulation of such kind. The SSL technique detects the state of the system at the beginning of each simulation cycle. If the system is at a steady state, the simulator will calculate the system state using its steady state model instead of the dynamic model. Otherwise the dynamic solver routine will be applied. SSL can also be applied in parallel to achieve further acceleration. The proposed approach is capable of speeding up the simulation to a magnitude in reverse ratio of the frequency of disturbance occurrence. The performance of SSL is validated by the experiment study on a grinding manufacturing process. The issue associated with the parallel application of SSL is also discussed.