关键词: 抽油机, 调压器, 神经网络, 非线性建模

Abstract: An induction motor for driving a sucker rod pump can be powered by an SCR voltage regulator.The load on the motor is varied all the time.Therefore,the modeling of the above system is quite complicated using traditional modeling methods.But it can be achieved by using a dynamic recurrent Artificial Neural Network (ANN),namely Elman ANN,based on the operation characteristics of the system.A dynamic back-propagation (BP) learning method with an inertia item is applied to ANN training,which has some advantages over the traditional BP method with resonance and slow convergence rate.The trained ANN makes it possible to regulate the voltage cross the motor with the load changes on it.The ANN configuration,the modeling procedure and the dynamic BP learning method were described.The selection methods of the parameters for system modeling were also discussed.The simulation results show that the results of this method have a relative small error that is as good as expected.

Key words: sucker rod pump, voltage regulator, artificial neural network, non-linear modeling