基于FMI仿真系统的优化代数环求解算法

Optimal Design and Implementation of Algebraic Loop Solving Algorithm in FMI Simulation System

随着仿真技术的发展,仿真模拟验证越来越重要。然而多学科仿真致使仿真过程中产生的代数环问题还未得到重视。为了解决联合仿真中的代数环问题,该文对牛顿下山法进行优化,通过替换雅可比矩阵提高计算速度,并将算法应用在FMI联合仿真系统中,成功验证了优化后的代数环求解算法的有效性与实用性。

With the development of simulation technology,the simulation verif ication of actual industrial products is becoming more and more important.However,the problem of algebraic loop caused by multidisciplinary simulation has not been cared by most people.This paper optimized the Newton Downhill method to improve the calculation speed by replacing the Jacobian Matrix to solve the algebraic ring problem in the co-simulation,and applied the algorithm in the FMI co-simulation system,and successfully verified the effectiveness and practicability of the optimized algebraic ring solving algorithm.