关键词: 自动控制技术, 时延Elman递归神经网络, 动态反传算法, 永磁同步电动机, 混沌, Lyapunov稳定性

Abstract: For the problem of high depth and low resolution ratio in the memory of Elman recurrent neural network, a time delay Elman recurrent neural network (TERNN) model with a simple configuration was proposed. Both the depth and the resolution ratio in the memory of this network were improved by introducing a multistep time delay and recurrent mechanism. In consideration of chaos in the movement of permanent magnet synchronous motor (PMSM), a controller and an identifier based on TERNN were designed. Moreover, a dynamic recurrent back propagation algorithm for adjusting TERNN was derived. By discrete Lyapunov stability creterion, the regions of weight adaptive learning rates in the controller and the identifier were obtained so as to guarantee stability and fast convergence of the controlled system. Simulation results illustrate that the proposed TERNN has good performance in both identification and control for dynamic systems.

Key words: automatic control technology, time delay Elman recurrent neural network, dynamic back propagation algorithm, PMSM, chaos, Lyapunov stability