rfnn meaning in Chinese
模糊神经网络
Examples
- Study on vector control system for induction motor speed sensorless based on rfnn
的感应电动机无速度传感器矢量控制系统的研究 - A speed - sensorless control method for bldcm , which applies recurrent fuzzy neural network ( rfnn ) , is presented in this paper based on the dynamic model of bldcm . the rfnn controller is used as a speed controller to mimic the optimized output of the system
本文基于bldcm的动态模型提出了一种性能较好的递归模糊神经网络( rfnn )无速度传感器bldcm控制方法,采用rfnn控制器作为转速控制器来近似最优控制器输出。 - So the paper combined the fuzzy logic control and recurrent neural network , and the recurrent fuzzy neural network ( rfnn ) controller is introduced into the speedsensorless vector control system . moreover , an online parameter training methodology , which is derived from the lyapunov stability theorem and gradient descent method is proposed to increase the learning capability of the rfnn . the rfnn controller has a better performance than the pi controller system ; the effectiveness of the proposed control scheme is verified by simulation results
因此论文将模糊控制和具有优越动态性能的递归神经网络结合起来，取长补短，提出了一种递归模糊神经网络控制方法，利用神经网络来实现模糊推理，可动态的调整隶属函数的形状、位置以及神经网络递归权值，并对其与pi控制器的交流调速控制系统进行了仿真比较，仿真结果表明与普通的pi控制器相比较，递归模糊神经网络控制器有较好的动态性能，控制器的收敛速度快、静差小，系统在遇到参数发生变化和外部不确定性问题时鲁棒性、抗扰动性有明显的提高。