{"title":"基于遗传算法的四轴飞行器滑模控制参数整定方法","authors":"Vanessa Orosco, D. Chávez, O. Camacho, J. Aguilar","doi":"10.1109/ETCM.2018.8580279","DOIUrl":null,"url":null,"abstract":"In this work is presented a parameter tuning approach of a Sliding Mode Control (SMC) using Genetic Algorithms (GA). The GA are used for the tuning of the parameters of the Orientation Control and Height of quadcopter, considering all the cases in a sliding surface PD. The objective of GA is to provide a set of parameters that minimizes the integral square error (ISE) of the SMC. The SMC is improved when it is used the GA.","PeriodicalId":334574,"journal":{"name":"2018 IEEE Third Ecuador Technical Chapters Meeting (ETCM)","volume":"106 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"A parameter tuning approach of the Sliding Mode Control for a Quadcopter based on Genetic Algorithms\",\"authors\":\"Vanessa Orosco, D. Chávez, O. Camacho, J. Aguilar\",\"doi\":\"10.1109/ETCM.2018.8580279\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this work is presented a parameter tuning approach of a Sliding Mode Control (SMC) using Genetic Algorithms (GA). The GA are used for the tuning of the parameters of the Orientation Control and Height of quadcopter, considering all the cases in a sliding surface PD. The objective of GA is to provide a set of parameters that minimizes the integral square error (ISE) of the SMC. The SMC is improved when it is used the GA.\",\"PeriodicalId\":334574,\"journal\":{\"name\":\"2018 IEEE Third Ecuador Technical Chapters Meeting (ETCM)\",\"volume\":\"106 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 IEEE Third Ecuador Technical Chapters Meeting (ETCM)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ETCM.2018.8580279\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 IEEE Third Ecuador Technical Chapters Meeting (ETCM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ETCM.2018.8580279","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A parameter tuning approach of the Sliding Mode Control for a Quadcopter based on Genetic Algorithms
In this work is presented a parameter tuning approach of a Sliding Mode Control (SMC) using Genetic Algorithms (GA). The GA are used for the tuning of the parameters of the Orientation Control and Height of quadcopter, considering all the cases in a sliding surface PD. The objective of GA is to provide a set of parameters that minimizes the integral square error (ISE) of the SMC. The SMC is improved when it is used the GA.