基于LPIDBP神经网络的感应电动机速度估计仿真研究

Simulation Research on Speed Identification of Induction Motor Based on LPIDBP Neural Network

针对传统BP神经网络和转速估计方法的不足,提出了一种基于LPIDBP神经网络混合转速的辨识方法。仿真结果表明,基于LPIDBP神经网络的混合速度估计器的矢量控制系统收敛速度快,转速估计精度高,动静态性能好。

The lack of the traditional BP Neural network and the speed estimation method is aimed at, a new hybrid speed identification method based on LPIDBP Neural network is presentsed. The simulation results show that the vector control system based on LP1DBP speed estimation can improve the speed of convergence of the system , has high estimating precision , and has better dynamic and static performance.