仿真还可以允许对机器人控制系统进行革新，这依赖于很多代控制系统的随机排列（遗传算法可以证实这一点）。
Simulation also allows the evolution of robotics control systems, which depend on random permutations of the control system over many generations (as demonstrated by genetic algorithms).
采用此模糊控制算法的仿真结果表明，此种方法不仅便于实现，而且与传统的控制方法相比具有较好的控制效果。
The results of simulation indicate that this type of control method is not only easy to achieve but also has the better effects than traditional control methods.
最后本文采用定子磁场定向的矢量控制策略，结合转速扰动功率观测的控制算法对转子侧进行了仿真验证。
Finally, simulating experiment for the whole system is carried through with the stator flux-oriented vector strategy and control arithmetic of rotor speed perturb and power observation.
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