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首页> 外文期刊>Applied Intelligence: The International Journal of Artificial Intelligence, Neural Networks, and Complex Problem-Solving Technologies >General design method of hedge-algebras-based fuzzy controllers and an application for structural active control
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General design method of hedge-algebras-based fuzzy controllers and an application for structural active control

机译：基于对冲代数的模糊控制器的通用设计方法及其在结构主动控制中的应用

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摘要

Hedge algebras (HAs) theory has been extensively developed with many effective applications in different fields of fuzzy theory such as data mining, fuzzy database system, fuzzy reasoning, and so on. We propose here a general design method of hedge-algebras-based fuzzy controllers (HACs) for a potential application in structural active control. The proposed method utilizes inherent order relationships between words in a word-domain to express the semantics of words instead of using fuzzy sets. This qualitative word semantics determines the so-called semantically quantifying mappings (SQMs), which are order-isomorphisms and map words of variable into numeric values, by only giving values of the fuzziness parameter of the variable. It is demonstrated that HAC and optimal HACs can be designed using this method for the active control of a structure, which is subjected to excitations of some different earthquakes. Simulation results show that the proposed method is simple, transparent and efficient in reducing the pick storey drift as well as the pick absolute acceleration of the structure. Moreover, computation time of HACs is significantly lower than that of ordinary fuzzy controllers.
机译：对冲代数（HAs）理论已经得到了广泛的发展，在模糊理论的不同领域有许多有效的应用，例如数据挖掘，模糊数据库系统，模糊推理等。我们在这里提出了一种基于对冲代数的模糊控制器（HAC）的通用设计方法，可用于结构主动控制中。所提出的方法利用单词域中单词之间的固有顺序关系来表达单词的语义，而不是使用模糊集。这种定性词的语义确定了所谓的语义量化映射（SQM），即顺序同构，并且仅通过给出变量的模糊性参数的值，即可将变量的词映射为数值。结果表明，使用这种方法可以设计HAC和最佳HAC，以对结构进行主动控制，该结构受到一些不同地震的激发。仿真结果表明，该方法简单，透明，有效，可以减少结构的挑料层位移和挑料的绝对加速度。而且，HAC的计算时间明显低于普通模糊控制器。

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