{"title":"基于模糊控制器的二自由度直升机系统轨迹跟踪","authors":"Abhishek Chaudhary, B. Bhushan","doi":"10.1109/ICETCI51973.2021.9574049","DOIUrl":null,"url":null,"abstract":"In this paper, the desired pitch and yaw axis trajectories of a 2-DOF helicopter system are tracked. For this purpose, fuzzy system is implemented and its performance is compared with a conventional control approach, namely an LQR controller. In proposed fuzzy system, in order to obtain an optimal fuzzy model for benchmark Unmanned Air Vehicle (2-DOF Helicopter), the parameters of the membership functions at the antecedent part of the fuzzy rules are tuned.","PeriodicalId":281877,"journal":{"name":"2021 International Conference on Emerging Techniques in Computational Intelligence (ICETCI)","volume":"12 4","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Trajectory Tracking of a 2-DOF Helicopter System using Fuzzy Controller Approach\",\"authors\":\"Abhishek Chaudhary, B. Bhushan\",\"doi\":\"10.1109/ICETCI51973.2021.9574049\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, the desired pitch and yaw axis trajectories of a 2-DOF helicopter system are tracked. For this purpose, fuzzy system is implemented and its performance is compared with a conventional control approach, namely an LQR controller. In proposed fuzzy system, in order to obtain an optimal fuzzy model for benchmark Unmanned Air Vehicle (2-DOF Helicopter), the parameters of the membership functions at the antecedent part of the fuzzy rules are tuned.\",\"PeriodicalId\":281877,\"journal\":{\"name\":\"2021 International Conference on Emerging Techniques in Computational Intelligence (ICETCI)\",\"volume\":\"12 4\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-08-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 International Conference on Emerging Techniques in Computational Intelligence (ICETCI)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICETCI51973.2021.9574049\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 International Conference on Emerging Techniques in Computational Intelligence (ICETCI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICETCI51973.2021.9574049","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Trajectory Tracking of a 2-DOF Helicopter System using Fuzzy Controller Approach
In this paper, the desired pitch and yaw axis trajectories of a 2-DOF helicopter system are tracked. For this purpose, fuzzy system is implemented and its performance is compared with a conventional control approach, namely an LQR controller. In proposed fuzzy system, in order to obtain an optimal fuzzy model for benchmark Unmanned Air Vehicle (2-DOF Helicopter), the parameters of the membership functions at the antecedent part of the fuzzy rules are tuned.