Zhang Haidong, Chen Qiuyu, Zhang Chongfa, Dou Yajie, Ma Yufeng, Yang Jun
{"title":"不稳定风条件下四旋翼无人机稳定性研究","authors":"Zhang Haidong, Chen Qiuyu, Zhang Chongfa, Dou Yajie, Ma Yufeng, Yang Jun","doi":"10.1109/ICCSSE52761.2021.9545117","DOIUrl":null,"url":null,"abstract":"Quadrocopter UAV is widely used. It is of great significance to study the control of its motion attitude under the action of external wind field. First innovation, this paper builds the basic wind, gust and gradient wind and random wind of composite wind field model, can be very good to the outside world most natural wind simulation, and then combined in the vehicle system dynamics equations of four uav rotorcraft in hover and geodetic coordinate system of the four rotor dynamics equation of unmanned aerial vehicle, build the feedback mechanism model of unmanned aerial vehicle quantified self-adjusting. By analyzing the variation of the unstable wind and the movement state of the quadrotor UAV, the maximum wind speed that the UAV can keep hovering state under the compound wind field can be obtained. The simulation results show that when the wind speed variation factor is 0.2, 0.5 and 0.8, the maximum wind speed that the quadrotor UAV can tolerate is 5.474m/s, 5.300m/s and 5.564m/s, respectively. The research in this paper can provide reference for the attitude adjustment and attitude control of the quadrotor UAV in the wind field. Through theoretical calculation of the model in this paper, the maximum wind speed that the quadrotor UAV can maintain stability in the unstable wind field can be obtained.","PeriodicalId":143697,"journal":{"name":"2021 IEEE 7th International Conference on Control Science and Systems Engineering (ICCSSE)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Stability Research of Quadcopter UAV under Unstable Wind\",\"authors\":\"Zhang Haidong, Chen Qiuyu, Zhang Chongfa, Dou Yajie, Ma Yufeng, Yang Jun\",\"doi\":\"10.1109/ICCSSE52761.2021.9545117\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Quadrocopter UAV is widely used. It is of great significance to study the control of its motion attitude under the action of external wind field. First innovation, this paper builds the basic wind, gust and gradient wind and random wind of composite wind field model, can be very good to the outside world most natural wind simulation, and then combined in the vehicle system dynamics equations of four uav rotorcraft in hover and geodetic coordinate system of the four rotor dynamics equation of unmanned aerial vehicle, build the feedback mechanism model of unmanned aerial vehicle quantified self-adjusting. By analyzing the variation of the unstable wind and the movement state of the quadrotor UAV, the maximum wind speed that the UAV can keep hovering state under the compound wind field can be obtained. The simulation results show that when the wind speed variation factor is 0.2, 0.5 and 0.8, the maximum wind speed that the quadrotor UAV can tolerate is 5.474m/s, 5.300m/s and 5.564m/s, respectively. The research in this paper can provide reference for the attitude adjustment and attitude control of the quadrotor UAV in the wind field. Through theoretical calculation of the model in this paper, the maximum wind speed that the quadrotor UAV can maintain stability in the unstable wind field can be obtained.\",\"PeriodicalId\":143697,\"journal\":{\"name\":\"2021 IEEE 7th International Conference on Control Science and Systems Engineering (ICCSSE)\",\"volume\":\"13 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-07-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 IEEE 7th International Conference on Control Science and Systems Engineering (ICCSSE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCSSE52761.2021.9545117\",\"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 IEEE 7th International Conference on Control Science and Systems Engineering (ICCSSE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCSSE52761.2021.9545117","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Stability Research of Quadcopter UAV under Unstable Wind
Quadrocopter UAV is widely used. It is of great significance to study the control of its motion attitude under the action of external wind field. First innovation, this paper builds the basic wind, gust and gradient wind and random wind of composite wind field model, can be very good to the outside world most natural wind simulation, and then combined in the vehicle system dynamics equations of four uav rotorcraft in hover and geodetic coordinate system of the four rotor dynamics equation of unmanned aerial vehicle, build the feedback mechanism model of unmanned aerial vehicle quantified self-adjusting. By analyzing the variation of the unstable wind and the movement state of the quadrotor UAV, the maximum wind speed that the UAV can keep hovering state under the compound wind field can be obtained. The simulation results show that when the wind speed variation factor is 0.2, 0.5 and 0.8, the maximum wind speed that the quadrotor UAV can tolerate is 5.474m/s, 5.300m/s and 5.564m/s, respectively. The research in this paper can provide reference for the attitude adjustment and attitude control of the quadrotor UAV in the wind field. Through theoretical calculation of the model in this paper, the maximum wind speed that the quadrotor UAV can maintain stability in the unstable wind field can be obtained.