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Variable step euler method for real-time simulation

机译:用于实时仿真的可变步长欧拉方法

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Many systems have stiff characteristics. To simulate such system in real-time demands solver of differential equation having small fixed step size to guarantee stability and accuracy even if it may cost large number of computing resource. An adaptive variable minor step size Euler method is developed for real-time simulation. It alternately uses forward Euler and backward Euler method based on morbid degree. And then it divides fixed major step equally into multiple minor steps in according to local truncation error. Because of this, it is more precise and more robust than classic Euler method. While simulating large scale system, it realizes computing resource dynamic allocation in different sub-systems. The advantageous abilities are verified by typical real-time simulation problems and the usage in a flight simulator. These shows the method is very suitable for a long real-time simulation.
机译:许多系统具有僵硬的特性。 为了在实时模拟这些系统,要求具有小固定步长的微分方程的求解器,以保证稳定性和准确性,即使它可能花费大量的计算资源。 为实时仿真开发了一种自适应变量次要步长欧拉方法。 它交替使用基于病态的前向欧拉和后向欧拉方法。 然后它将固定的重大步骤划分为根据本地截断误差的多个次要步骤。 因此,它比经典欧拉方法更精确且更强大。 在模拟大规模系统的同时,它实现了不同子系统中的计算资源动态分配。 通过典型的实时模拟问题和飞行模拟器中的使用验证了有利的能力。 这些显示该方法非常适合于长实时仿真。

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