{"title":"固定翼无人机的自抗扰和遗传算法","authors":"Dali Zhou, Qingbo Geng, Baokui Li","doi":"10.1109/IHMSC.2015.93","DOIUrl":null,"url":null,"abstract":"This paper puts forward active disturbance rejection control (ADRC) technology in the application of unmanned aerial vehicle (UAV). In order to solve the parameters optimization problem of ADRC, genetic algorithm (GA) is proposed, which does not depend on the experience of human heavily. Whose basic principle is introduced in this paper as well, then it improves the efficiency of parameters optimization. Disturbance is added to the state of flight to reflect the anti-interference ability of this combined algorithm. Finally, the simulation of F16 model is carried out to verify that the improved method has good control preference.","PeriodicalId":6592,"journal":{"name":"2015 7th International Conference on Intelligent Human-Machine Systems and Cybernetics","volume":"63 1 1","pages":"248-251"},"PeriodicalIF":0.0000,"publicationDate":"2015-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"ADRC and GA Algorithm for Fixed-Wing UAV\",\"authors\":\"Dali Zhou, Qingbo Geng, Baokui Li\",\"doi\":\"10.1109/IHMSC.2015.93\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper puts forward active disturbance rejection control (ADRC) technology in the application of unmanned aerial vehicle (UAV). In order to solve the parameters optimization problem of ADRC, genetic algorithm (GA) is proposed, which does not depend on the experience of human heavily. Whose basic principle is introduced in this paper as well, then it improves the efficiency of parameters optimization. Disturbance is added to the state of flight to reflect the anti-interference ability of this combined algorithm. Finally, the simulation of F16 model is carried out to verify that the improved method has good control preference.\",\"PeriodicalId\":6592,\"journal\":{\"name\":\"2015 7th International Conference on Intelligent Human-Machine Systems and Cybernetics\",\"volume\":\"63 1 1\",\"pages\":\"248-251\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-11-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 7th International Conference on Intelligent Human-Machine Systems and Cybernetics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IHMSC.2015.93\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 7th International Conference on Intelligent Human-Machine Systems and Cybernetics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IHMSC.2015.93","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
This paper puts forward active disturbance rejection control (ADRC) technology in the application of unmanned aerial vehicle (UAV). In order to solve the parameters optimization problem of ADRC, genetic algorithm (GA) is proposed, which does not depend on the experience of human heavily. Whose basic principle is introduced in this paper as well, then it improves the efficiency of parameters optimization. Disturbance is added to the state of flight to reflect the anti-interference ability of this combined algorithm. Finally, the simulation of F16 model is carried out to verify that the improved method has good control preference.