四阶龙格—库塔的数值积分法具有很高的仿真精度,但运算速度很慢,其原因在于每一步的递推都要重新计算各个状态变量的四个系数(K_1、K_2、K_3、K_4),同时,由于存在计算稳定性问题,计算步距往往选择得很小。适用于非线系统的离散相似法具有较高的运算速度,这是因为每一步递推计算所用的有关系数[Φ(T),Φ_m(T)]是固定不变的,且不存在计算稳定性问题。但其仿真精度却较低,且 The fourth-order Runge-Kutta numerical integration method has high simulation accuracy, but the calculation speed is very slow because the recursion of each step requires recalculating the four coefficients of each state variable (K_1, K_2, K_3, K_4). At the same time, due to the problem of computational stability, the calculation steps are often chosen to be very small. The discrete similarity method applied to nonlinear systems has a higher computational speed because the relevant coefficients [Φ (T), Φ_m (T)] used for the recursion calculations at each step are fixed and there is no computational stability Sexual issues. But its simulation accuracy is lower, and