{"title":"基于遗传算法的非线性油轮控制系统参数优化","authors":"E. McGookin, D. Murray-Smith, Yun Li, T. Fossen","doi":"10.1109/OCEANS.1997.634328","DOIUrl":null,"url":null,"abstract":"The optimisation of a nonlinear control problem by genetic algorithm (GA) is studied in this paper. It involves the performance of a control system for course changing manoeuvres of an oil tanker. Sliding mode (SM) control theory is used to define the structure of this controller and the GA is used to optimise key control parameters so that satisfactory performance is obtained.","PeriodicalId":259593,"journal":{"name":"Oceans '97. MTS/IEEE Conference Proceedings","volume":"264 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1997-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Non-linear tanker control system parameter optimisation using genetic algorithms\",\"authors\":\"E. McGookin, D. Murray-Smith, Yun Li, T. Fossen\",\"doi\":\"10.1109/OCEANS.1997.634328\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The optimisation of a nonlinear control problem by genetic algorithm (GA) is studied in this paper. It involves the performance of a control system for course changing manoeuvres of an oil tanker. Sliding mode (SM) control theory is used to define the structure of this controller and the GA is used to optimise key control parameters so that satisfactory performance is obtained.\",\"PeriodicalId\":259593,\"journal\":{\"name\":\"Oceans '97. MTS/IEEE Conference Proceedings\",\"volume\":\"264 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1997-10-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Oceans '97. MTS/IEEE Conference Proceedings\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/OCEANS.1997.634328\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Oceans '97. MTS/IEEE Conference Proceedings","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/OCEANS.1997.634328","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Non-linear tanker control system parameter optimisation using genetic algorithms
The optimisation of a nonlinear control problem by genetic algorithm (GA) is studied in this paper. It involves the performance of a control system for course changing manoeuvres of an oil tanker. Sliding mode (SM) control theory is used to define the structure of this controller and the GA is used to optimise key control parameters so that satisfactory performance is obtained.
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