Application of integration algorithms in a parallel processing environment for the simulation of jet engines

The development of digital dynamic simulations requires careful selection of an appropriate integration algorithm. This paper illustrates the application of predictor-corrector integration algorithms developed for the digital parallel processing environment. The algorithms are implemented and evaluated through the use of a software simulator which provides an approximate representation of the parallel processing hardware. Test cases which focus on the use of the algorithms are presented and a specific application using a linear model of a turbofan engine is considered. Results are presented showing the effects of integration step size and the number of processors on simulation accuracy. Real-time performance, inter-processor communication, and algorithm startup are also discussed.