This paper has researched motor power characteristic, adopted Fuzzy Neuro Network controller (FNN) to confirm target current and utilized PID controller to tail after target current.
对电机助力特性控制进行了研究，采用模糊神经网络控制方法确定电机的目标电流，并利用PID控制跟踪目标电流。
Simulation results show that the induction motor vector control system with adaptive neuro-fuzzy inference system can improve the static and dynamic performance of the motor and has good robust.
仿真实验结果表明，具有自适应神经网络的模糊推理系统控制的异步电机矢量控制系统不仅动态和稳态性能都得到提高，而且具有较强的鲁棒性。
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