{"title":"基于自适应禁忌搜索算法的多电动飞机动力系统控制器设计","authors":"Apichai Suyapan, Kongpan Areerak, K. Areerak","doi":"10.1109/IEECON.2017.8075744","DOIUrl":null,"url":null,"abstract":"This paper presents the optimal controller design for more electric aircraft power systems using an adaptive tabu search. The simple block diagrams are used as the objective function to evaluate the quality of each solution. The simulation results show that the proposed technique can provide the best output performance compared with those of conventional method. Moreover, this technique is very useful for engineers to design the controller with good performances.","PeriodicalId":196081,"journal":{"name":"2017 International Electrical Engineering Congress (iEECON)","volume":"210 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"A controller design of more electric aircraft power systems using an adaptive Tabu search algorithm\",\"authors\":\"Apichai Suyapan, Kongpan Areerak, K. Areerak\",\"doi\":\"10.1109/IEECON.2017.8075744\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents the optimal controller design for more electric aircraft power systems using an adaptive tabu search. The simple block diagrams are used as the objective function to evaluate the quality of each solution. The simulation results show that the proposed technique can provide the best output performance compared with those of conventional method. Moreover, this technique is very useful for engineers to design the controller with good performances.\",\"PeriodicalId\":196081,\"journal\":{\"name\":\"2017 International Electrical Engineering Congress (iEECON)\",\"volume\":\"210 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-03-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 International Electrical Engineering Congress (iEECON)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IEECON.2017.8075744\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 International Electrical Engineering Congress (iEECON)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IEECON.2017.8075744","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A controller design of more electric aircraft power systems using an adaptive Tabu search algorithm
This paper presents the optimal controller design for more electric aircraft power systems using an adaptive tabu search. The simple block diagrams are used as the objective function to evaluate the quality of each solution. The simulation results show that the proposed technique can provide the best output performance compared with those of conventional method. Moreover, this technique is very useful for engineers to design the controller with good performances.