变论域模糊PID控制在改善DC-DC变换器非线性非最小相位系统的性能研究

发布时间：2018-01-15 05:15

本文关键词：变论域模糊PID控制在改善DC-DC变换器非线性非最小相位系统的性能研究　出处：《电工电能新技术》2017年01期 　论文类型：期刊论文

【摘要】：除Buck电路外的传统DC-DC电路的动态模型是非线性非最小相位系统,其动态特性受电路参数和动态模型的影响较大。PID控制必须建立在精确的数学模型上,而DC-DC变换器的非线性决定了PID调节很难达到更优的效果。模糊PID控制不需要精确的数学模型,而且消除了模糊控制存在的静差。但该控制方式的自适应能力较低,在输入量变化较大时,其控制精度变差。变论域模糊PID控制利用伸缩因子使系统的自适应能力提高,并增加模糊规则的利用率,使控制精度提高。本文研究了变论域模糊PID控制在非线性非最小相位系统的DC-DC变换器闭环控制中的性能,以DC-DC变换器中的典型非线性非最小相位系统的Sepic电路和Boost电路为例进行了仿真和实验,结果表明变论域模糊PID控制比前两种控制方式具有更优的控制性能。
[Abstract]:Besides Buck circuit, the dynamic model of traditional DC-DC circuit is nonlinear and non-minimum phase system. Its dynamic characteristics are greatly affected by circuit parameters and dynamic model. Pid control must be based on accurate mathematical model. Because of the nonlinearity of DC-DC converter, it is difficult to achieve better effect by PID regulation. Fuzzy PID control does not need accurate mathematical model. Moreover, the static error of fuzzy control is eliminated, but the adaptive ability of the control method is low, when the input quantity changes greatly. The variable universe fuzzy PID control makes use of the expansion factor to improve the adaptive ability of the system and increase the utilization rate of fuzzy rules. In this paper, the performance of variable universe fuzzy PID control in DC-DC converter closed-loop control of nonlinear non-minimum phase system is studied. Taking the Sepic circuit and Boost circuit of typical nonlinear non-minimum phase system in DC-DC converter as examples, the simulation and experiment are carried out. The results show that the variable domain fuzzy PID control has better control performance than the former two control methods.
【作者单位】：青岛理工大学自动化工程学院;
【基金】：国家自然科学基金项目(51477079) 山东省自然科学基金项目(ZR2013EEM020) 中国博士后科学基金项目(2013M531598)
【分类号】：TM46;TP273
【正文快照】： 1引言DC-DC变换器具有高效率、高功率密度和高可靠性等优点,广泛应用于光伏发电、新能源应用和工业设备等领域,研究其性能改善和控制策略优化是一个热点。DC-DC转换器是一个非线性的时变复杂系统,难以精确地控制DC-DC转换器的转换[1]。而且DC-DC开关变换器中除Buck变换器及其

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