Single-Neuron Self-Adaptive PID Control Based on Unified Circuit Model of DC/DC Converters

摘要：

The analysis based on the unified circuit model for DC/DC converters is introduced in this paper. Parameters of the model are obtained, and the simplified design method of controller is presented. The proposed novel controller is a modified single-neuron self-adaptive PID controller designed by utilizing the Hebbian Learning Rule. Furthermore, the PID control performance and dynamic responses for the given DC/DC converter are emulated and compared by MATLAB/Simulink. Finally, an experimental Buck converter has been implemented to evaluate the control performances. The experimental and simulating results are shown at the end of this paper to testify the rationality of the novel control method.

作者: Jing HUI Ran ZHAO

作者单位: Southern Yangtze University, China

会议类型: 国际会议

会议名称: 2nd IEEE Conference on Industrial Electronics and Applications(ICIEA 2007)(第二届IEEE工业电子与应用国际会议)

会议地点: 哈尔滨

会议语种:英文

在线出版日期: 2007-05-23（万方平台首次上网日期，不代表论文的发表时间）