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在开关磁阻可逆变器（SRC）原有常规控制反馈方案的基础上，利用神经网络处理非线性系统的能力，建立了SRC的神经网络模型参考自适应控制，替代了原有的常规反馈控制．仿真实践证明：此控制方案的控制效果优于原控制方案，并使系统具有自适应性．
Based on the original conventional control feedback scheme of Switched Reluctance Reversible Relays (SRC), neural network model based on adaptive control of SRC is established by using the ability of neural network to deal with nonlinear systems. It replaces the original conventional feedback control. Simulation results show that the control effect of this control scheme is better than the original control scheme and makes the system adaptive.