基于通用模型自适应控制的DC/DC变换器控制系统研究

摘要

针对DC/DC变换器的强非线性,将平均电流模式控制中的电流环作为被控对象,使用RBF神经网络辩识对象的逆模型,嵌入通用模型控制器中.为了克服对象逆模型的辨识误差,通过引入自适应控制,可以保持系统输出对参考轨迹的有效跟踪.仿真结果表明,该系统具有较强的可实现性,控制效果良好.%Considering the nonlinearity of DC/DC converter, the electric current loop of the average current mode control was taken as the controlled object to have its inverse model identified with RBF neural network and embedded in common model controller. To overcome the identification error, the adaptive control was integrated into the common model control so that the system output can track the reference trajectory. The simulation result indicates that the control strategy is realizable and effective.