摘要
介绍了传统模糊控制器,并分析了当输入在原点附近变化时系统的非线性小信号模型,从理论上说明了它的优越性。在此基础上,将一种新的模糊逻辑控制引入Buck变换器,模糊控制器通过双环反馈构成,外环是电压环,由模糊控制器构成,内环是电流环,由PI控制器组成。这种新的模糊控制方法,在传统的模糊控制的基础上,引入了电感电流作为反馈加以控制,目的在于改善系统的动态特性。在Matlab的环境下,做了基于buck变换器的双环模糊控制与传统模糊控制的仿真比较。最后介绍了模糊控制算法及基于FPGA的设计方案,结果证实了本文的可行性。
This paper first introduces conventional Fuzzy controller,and analyzes the Fuzzy logic nonlinnear small signal model of the system when inputs change nearby origin.Thus its superiority is proved theoretically. On these basis, a new Fuzzy logic control mothod is introduced to the buck converter, it＇s composed by 2-ring .The outer is voltage loop, the inner is current loop. This new Fuzzy control method is based on the conventional Fuzzy controller, Introducing the inductance electric current as the feedback,it can remarkably improve the dynamic performance of the system.Then comparing it with the traditional Fuzzy controller in Matlab simulation . Finally, the Fuzzy control algorithm and design scheme based on FPGA design process are presented, The result confirmed the feasibility of this thesis.
出处
《电测与仪表》
北大核心
2010年第2期77-80,共4页
Electrical Measurement & Instrumentation
关键词
模糊控制
FPGA
小信号分析
仿真
Fuzzy control, FPGA, small-signal analysis, simulation
