A Novel Online Self-Structuring Fuzzy Control Algorithm and Its Application

A Novel Online Self-Structuring Fuzzy Control Algorithm and Its Application
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一种新型在线自构造模糊控制算法及其应用

DOI:
10.1155/2015/386073
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发表时间:
2015-06
影响因子:
--
通讯作者:
Duan Xuechao
Duan Xuechao
中科院分区:
工程技术4区
文献类型:
--
作者:
Feng Siyuan;Bao Hong;Duan Xuechao

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提出了一种在线自适应模糊控制器(SA-OAFC)的自构造算法。SA-OAFC能够自主地添加和删除推理规则,可以基于系统的期望输出和实际输出以空的模糊规则集开始操作,以避免传统的微分操作。它还利用辅助模糊系统来评估近似结果与对象的信息很少。SA-OAFC具有良好的工程可逼近性、对被控对象各种扰动的鲁棒性以及在一组候选输入变量中进行变量选择的能力。此外,它设法显着减少计算量,降低了系统的复杂性。本文通过仿真实例和硬件在环实验验证了SA-OAFC的性能。
This paper proposes a novel self-structuring algorithm for the online adaptive fuzzy controller (SA-OAFC). The SA-OAFC capable of adding and deleting inference rules autonomously can start operating with an empty set of fuzzy rules based on the desired output and actual output of the system to avoid conventional differential operation. It also takes advantage of the auxiliary fuzzy system to evaluate the approximated results with little information of the plant. The SA-OAFC is characterized by its good engineering approachability, robustness for all kinds of perturbations of the plant, and the ability to perform variable selection among a group of candidate input variables. Moreover, it manages to remarkably reduce the amount of computation and decrease the complexity of the system. This paper demonstrates the capabilities of SA-OAFC by a simulation example and then hardware-in-the-loop (HIL) experiment.
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