{"title":"pi -模糊控制器开发中的迭代反馈整定方法","authors":"R. Precup, Z. Preitl, S. Preitl","doi":"10.1109/FUZZY.2007.4295365","DOIUrl":null,"url":null,"abstract":"The paper proposes an original development method of Pi-fuzzy controllers. Accepting the controlled plants being described with simplified linear mathematical models, the method starts with linear PI controller development in terms of Iterative Feedback Tuning expressed in discrete-time. It is accompanied by a linear development method applied in delta domain. Next, the results of the linear development are transferred to the development of the fuzzy blocks in PI-fuzzy controllers by the modal equivalence principle, resulting in new two-degree-of-freedom Mamdani Pi-fuzzy controllers. Realtime experimental results in controlling a nonlinear servo-system validate the development method, where the linear development is performed using the Extended Symmetrical Optimum method.","PeriodicalId":236515,"journal":{"name":"2007 IEEE International Fuzzy Systems Conference","volume":"94 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Iterative Feedback Tuning Approach to Development of PI-Fuzzy Controllers\",\"authors\":\"R. Precup, Z. Preitl, S. Preitl\",\"doi\":\"10.1109/FUZZY.2007.4295365\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The paper proposes an original development method of Pi-fuzzy controllers. Accepting the controlled plants being described with simplified linear mathematical models, the method starts with linear PI controller development in terms of Iterative Feedback Tuning expressed in discrete-time. It is accompanied by a linear development method applied in delta domain. Next, the results of the linear development are transferred to the development of the fuzzy blocks in PI-fuzzy controllers by the modal equivalence principle, resulting in new two-degree-of-freedom Mamdani Pi-fuzzy controllers. Realtime experimental results in controlling a nonlinear servo-system validate the development method, where the linear development is performed using the Extended Symmetrical Optimum method.\",\"PeriodicalId\":236515,\"journal\":{\"name\":\"2007 IEEE International Fuzzy Systems Conference\",\"volume\":\"94 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2007-07-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2007 IEEE International Fuzzy Systems Conference\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/FUZZY.2007.4295365\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2007 IEEE International Fuzzy Systems Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/FUZZY.2007.4295365","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
摘要
本文提出了一种新颖的pi -模糊控制器开发方法。该方法接受被控对象用简化的线性数学模型来描述，从线性PI控制器的开发开始，用离散时间表示迭代反馈整定。并在delta域上应用了线性展开法。然后，利用模态等效原理将线性展开的结果转移到pi -模糊控制器中模糊块的展开中，从而得到新的二自由度Mamdani pi -模糊控制器。控制非线性伺服系统的实时实验结果验证了该开发方法，其中采用扩展对称优化方法进行线性开发。
Iterative Feedback Tuning Approach to Development of PI-Fuzzy Controllers
The paper proposes an original development method of Pi-fuzzy controllers. Accepting the controlled plants being described with simplified linear mathematical models, the method starts with linear PI controller development in terms of Iterative Feedback Tuning expressed in discrete-time. It is accompanied by a linear development method applied in delta domain. Next, the results of the linear development are transferred to the development of the fuzzy blocks in PI-fuzzy controllers by the modal equivalence principle, resulting in new two-degree-of-freedom Mamdani Pi-fuzzy controllers. Realtime experimental results in controlling a nonlinear servo-system validate the development method, where the linear development is performed using the Extended Symmetrical Optimum method.
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