利用神经元的自学习功能实现神经元控制器的在线学习，并以神经元控制器作为交流伺服系统的位置调节器；
The neuron controller with its self-learning ability can realize the on-line learning algorithm, and it is adopted as the position controller of the AC servo system.
该控制器用具有改进学习算法的神经网络作pid参数调节器，用模糊神经网络对被控对象进行模型辨识。
In this controller, an improved study algorithm is adopted as the PID parameter regulator, and a fuzzy network is employed to identify the controlled objects.
内回路采用常规比例调节器，外回路采用带辨识器的单神经元pid控制器。
The inner loop USES a general proportion adjuster and the outer loop USES a single neuron PID controller with identification implement.
该系统包括设定值调节器、神经网络模糊前馈控制器、模糊反馈控制器和单元机组。
The intelligent control system consists of reference governor, neuro-fuzzy feedforward controllers, fuzzy feedback controllers and fossil-fuel power unit (FFPU).
本文针对感应电动机解耦控制，采用单神经元智能PSD算法作速度调节器和磁链调节器，构成感应电动机智能PSD调速系统。
The intelligent PSD controllers using a single neuron are used to control rotor speed and rotor flux in a AC speed control system by decoupling control of the induction motor.
本文针对感应电动机解耦控制，采用单神经元智能PSD算法作速度调节器和磁链调节器，构成感应电动机智能PSD调速系统。
The intelligent PSD controllers using a single neuron are used to control rotor speed and rotor flux in a AC speed control system by decoupling control of the induction motor.
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