Yuhao Xu, Xiaoyuan Wang, Mingxin Liu, Na Li, Tian Yu
{"title":"主动磁轴承刚性转子系统的模糊变增益鲁棒控制","authors":"Yuhao Xu, Xiaoyuan Wang, Mingxin Liu, Na Li, Tian Yu","doi":"10.1049/elp2.12369","DOIUrl":null,"url":null,"abstract":"<p>A high speed rigid rotor system supported by active magnetic bearings (AMBs) puts forward higher requirements on the performance of controllers. The fuzzy variable gain H-infinity robust control (FVGRC) method is proposed to simplify controller design while suppressing system uncertainty. First, the T-S fuzzy model of four-degree-of-freedom (4-DOF) AMBs was established based on the 4-DOF AMBs rigid rotor equivalent coupling model optimised by the μ-gap metric. Then, based on the fuzzy models of AMBs systems under different operating conditions, the relative optimal weight function value of H-infinity robust controller was calculated when AMBs system was at value of the speed endpoint, and the fuzzy variable gain H-infinity robust (FVGR) controller was designed on this basis. Finally, the simulation and experimental results showed that the FVGRC can simplify the model of controller and ensure the stable operation of AMBs rigid rotor system in the full speed range under high-speed conditions.</p>","PeriodicalId":13352,"journal":{"name":"Iet Electric Power Applications","volume":"18 1","pages":"90-106"},"PeriodicalIF":1.8000,"publicationDate":"2023-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/elp2.12369","citationCount":"0","resultStr":"{\"title\":\"Fuzzy variable gain robust control of active magnetic bearings rigid rotor system\",\"authors\":\"Yuhao Xu, Xiaoyuan Wang, Mingxin Liu, Na Li, Tian Yu\",\"doi\":\"10.1049/elp2.12369\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>A high speed rigid rotor system supported by active magnetic bearings (AMBs) puts forward higher requirements on the performance of controllers. The fuzzy variable gain H-infinity robust control (FVGRC) method is proposed to simplify controller design while suppressing system uncertainty. First, the T-S fuzzy model of four-degree-of-freedom (4-DOF) AMBs was established based on the 4-DOF AMBs rigid rotor equivalent coupling model optimised by the μ-gap metric. Then, based on the fuzzy models of AMBs systems under different operating conditions, the relative optimal weight function value of H-infinity robust controller was calculated when AMBs system was at value of the speed endpoint, and the fuzzy variable gain H-infinity robust (FVGR) controller was designed on this basis. Finally, the simulation and experimental results showed that the FVGRC can simplify the model of controller and ensure the stable operation of AMBs rigid rotor system in the full speed range under high-speed conditions.</p>\",\"PeriodicalId\":13352,\"journal\":{\"name\":\"Iet Electric Power Applications\",\"volume\":\"18 1\",\"pages\":\"90-106\"},\"PeriodicalIF\":1.8000,\"publicationDate\":\"2023-09-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://onlinelibrary.wiley.com/doi/epdf/10.1049/elp2.12369\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Iet Electric Power Applications\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://ietresearch.onlinelibrary.wiley.com/doi/10.1049/elp2.12369\",\"RegionNum\":4,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"ENGINEERING, ELECTRICAL & ELECTRONIC\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Iet Electric Power Applications","FirstCategoryId":"5","ListUrlMain":"https://ietresearch.onlinelibrary.wiley.com/doi/10.1049/elp2.12369","RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
Fuzzy variable gain robust control of active magnetic bearings rigid rotor system
A high speed rigid rotor system supported by active magnetic bearings (AMBs) puts forward higher requirements on the performance of controllers. The fuzzy variable gain H-infinity robust control (FVGRC) method is proposed to simplify controller design while suppressing system uncertainty. First, the T-S fuzzy model of four-degree-of-freedom (4-DOF) AMBs was established based on the 4-DOF AMBs rigid rotor equivalent coupling model optimised by the μ-gap metric. Then, based on the fuzzy models of AMBs systems under different operating conditions, the relative optimal weight function value of H-infinity robust controller was calculated when AMBs system was at value of the speed endpoint, and the fuzzy variable gain H-infinity robust (FVGR) controller was designed on this basis. Finally, the simulation and experimental results showed that the FVGRC can simplify the model of controller and ensure the stable operation of AMBs rigid rotor system in the full speed range under high-speed conditions.
期刊介绍:
IET Electric Power Applications publishes papers of a high technical standard with a suitable balance of practice and theory. The scope covers a wide range of applications and apparatus in the power field. In addition to papers focussing on the design and development of electrical equipment, papers relying on analysis are also sought, provided that the arguments are conveyed succinctly and the conclusions are clear.
The scope of the journal includes the following:
The design and analysis of motors and generators of all sizes
Rotating electrical machines
Linear machines
Actuators
Power transformers
Railway traction machines and drives
Variable speed drives
Machines and drives for electrically powered vehicles
Industrial and non-industrial applications and processes
Current Special Issue. Call for papers:
Progress in Electric Machines, Power Converters and their Control for Wave Energy Generation - https://digital-library.theiet.org/files/IET_EPA_CFP_PEMPCCWEG.pdf