几种模糊控制算法的MATLAB仿真  

Several fuzzy control algorithm MATLAB simulation

作　　者：吴俊杰[1] 武立军[1] 郭嗣琮[1] 

机构地区：[1]辽宁工程技术大学电气工程系,辽宁阜新123000

出　　处：《辽宁工程技术大学学报（自然科学版）》2003年第2期278-280,共3页Journal of Liaoning Technical University (Natural Science)

摘　　要：模糊控制算法发展至今已有多种算法,对其中的几种常用算法进行分析研究,以比较各种不同算法的特点和优越性是一项十分有意义的工作。通过仿真研究分析了Mamdani模糊算法、具有可调因子的模糊算法以及模糊CCC算法的性能,并解释了模糊CCC算法相对于其他两种算法的优越性。还总结了量化因子和比例因子对模糊控制器的影响及因子的修改方法,并在仿真过程中加以了应用和验证。With the development of the fuzzy control theory, there are every fuzzy control algorithms. Studying the common algorithms of them and comparing their traits, are of great significance. This paper studies the capacities of Mamdani algorithm, adjustable gene algorithm and fuzzy CCC algorithm by MATLAB simulation. And it explains the reason that fuzzy CCC algorithm is superior to the other two algorithms. This article also summarizes the effect of the gene of quantification and the gene of proportion on the fuzzy controller and the modification methods of the two genes, which have been applied and verified in the simulation

关 键 词：模糊控制算法 MATLAB 计算机仿真 Mamdani模糊算法 可调因子算法 模糊CCC算法 量化因子 比例因子 

分 类 号：TP273.4[自动化与计算机技术—检测技术与自动化装置] TP391.9[自动化与计算机技术—控制科学与工程]