{"title":"四旋翼控制中的传感器信号滤波","authors":"S. Pham, M. Chew","doi":"10.1109/SAS.2014.6798964","DOIUrl":null,"url":null,"abstract":"This paper presents a simple low cost quadrotor remotely controlled through a standard 4-channel terminal and ARM-based flight controller board employing two MEMS sensors (3-axis gyroscope and 3-axis accelerometer). With the aim to improve the quality of the aerial vehicle control the paper presents the experimental comparison between two sensor data filtering algorithms: complementary filtering and Kalman filtering.","PeriodicalId":125872,"journal":{"name":"2014 IEEE Sensors Applications Symposium (SAS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Sensor signal filtering in quadrotor control\",\"authors\":\"S. Pham, M. Chew\",\"doi\":\"10.1109/SAS.2014.6798964\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents a simple low cost quadrotor remotely controlled through a standard 4-channel terminal and ARM-based flight controller board employing two MEMS sensors (3-axis gyroscope and 3-axis accelerometer). With the aim to improve the quality of the aerial vehicle control the paper presents the experimental comparison between two sensor data filtering algorithms: complementary filtering and Kalman filtering.\",\"PeriodicalId\":125872,\"journal\":{\"name\":\"2014 IEEE Sensors Applications Symposium (SAS)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-04-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 IEEE Sensors Applications Symposium (SAS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SAS.2014.6798964\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 IEEE Sensors Applications Symposium (SAS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SAS.2014.6798964","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
This paper presents a simple low cost quadrotor remotely controlled through a standard 4-channel terminal and ARM-based flight controller board employing two MEMS sensors (3-axis gyroscope and 3-axis accelerometer). With the aim to improve the quality of the aerial vehicle control the paper presents the experimental comparison between two sensor data filtering algorithms: complementary filtering and Kalman filtering.