摘要
为了消除Buck-Boost变换器为代表的DC/DC(直流/直流)变换器最小相位性质的影响,对其输出电压进行控制,分析模型特性.采用非线性反馈控制电流内环,用RBF(径向基函数)神经网络设计了神经网络控制器控制输出电压外环.分析了系统的稳定性.仿真结果表明,提出的控制器动、静态性能很好,对变换器中元件参数的变化和负载电阻的扰动有较好的鲁棒性.
The main characteristics of the Buck - Boost converter which is treated as the example of DC/DC converters are analyzed. The inductor current of the Buck - Boost converter is controlled using a nolinear feedback inner loop. Employing a RBF（radical basis function） neural network, a neural network controller is proposed lot the output voltage control of the Buck - Boost converter. The asymptotical stability of the pruposed controller is proved. The good dynamic and static performance and the good robustness of the proposed method are illustrated through simulation results.
出处
《湘潭大学自然科学学报》
CAS
CSCD
北大核心
2005年第3期105-109,共5页
Natural Science Journal of Xiangtan University
