Aiming at the problem of traditional PID control algorithm is difficult to get ideal control effect, an adaptive PID control algorithm based on BP neural network is proposed.

针对传统的PID控制算法很难获得比较理想的控制效果的问题，提出一种基于BP神经网络的自适应pid控制算法。

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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。

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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。

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