It is proposed a magnetic bearing BP neural network PID controller design.
提出磁轴承bp神经网络PID控制器设计方案。
Based on the study of BP neural network and PID controller, a single neuron adaptive PSD algorithm is presented.
在对BP神经网络PID控制器系统研究的基础上，提出了单神经元的自适应PSD算法。
The part of neural network of the intelligent self-tuning PID controller based on BP network learns the learning sample.
由设计出的基于BP神经网络的智能自整定PID控制器的神经网络部分对学习样本进行学习。
Analyzing the integral splitting PID algorithm, and melting the wide-used PID controller and the automatic learning neural network, got a PID control algorithm based on the BP network.
分析了积分分离pid控制算法，在此基础上，将应用最广泛的PID控制器与具有自学习功能的神经网络相结合，得到了基于BP神经网络的PID控制算法。
Based on the mathematic model of PMSM, a combination of an improved BP neural network and a general PID controller is used in its speed control system.
在分析永磁同步电机数学模型的基础上，采用改进型BP神经网络与传统PID控制相结合作为速度控制器，应用于永磁同步电机调速系统中。
A collateral controller based on BP neural network (NN) and PID was designed for fatigue tester system.
针对疲劳试验机控制系统，设计了基于BP神经网络和PID的并行控制器。
A collateral controller based on BP neural network (NN) and PID was designed for fatigue tester system.
针对疲劳试验机控制系统，设计了基于BP神经网络和PID的并行控制器。
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