摘要
本文将人工神经网络的非线性和信息分布性用于稀土永磁同步电动机节能与参数之间非线性数学模型辨识，并将辨识得到的神经网络该数学模型进行计算机数值仿真，结果表明，这种辨识方法是正确可行的，具有用人脑神经元组织的信息处理机制，进行数学模型的智能模拟，从而为电机系统辨识提供了一条新途径。
The nonlinearity and distribution of information processing of the artificial neural network are utilized in identification of mathematical model for rare earth permanent magnet synchronous motors. Simulation of the relationship between energy saving and paramenters of motors by using the mathematical model shows that it can be practicable to adopt neural network to identify nonlinear model of the motor system. Therefore, a new way of identification of the motor system may be feasible.
出处
《电工电能新技术》
CSCD
1998年第3期10-12,16,共4页
Advanced Technology of Electrical Engineering and Energy
基金
浙江省教委基金
关键词
BP神经网络
系统辨识
永磁电机
仿真
电机
artificial neural network(ANN), back propagation, system identification and simulation
