{"title":"Dynamic Feedback Controller of an Unmanned Aerial Vehicle","authors":"E. Pfeifer, F. Kassab","doi":"10.1109/SBR-LARS.2012.49","DOIUrl":null,"url":null,"abstract":"The research interest in UAVs (Unmanned Aerial Vehicles) has grown in the past few years, comprising a wide range of applications. New technologies on MEMS (Micro-Electro-Mechanical Systems) sensors and signal processing techniques have been also strong influences on this type of research. This work is dedicated to the dynamic modeling and control implementation of a quad rotor UAV using linear control techniques for position tracking via image, ultrasonic, compass, acceleration and gyroscopic sensors, applying pole placement control technique. Simulation on the performance of the controller with a Kalman Filter is presented.","PeriodicalId":311395,"journal":{"name":"2012 Brazilian Robotics Symposium and Latin American Robotics Symposium","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"11","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 Brazilian Robotics Symposium and Latin American Robotics Symposium","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SBR-LARS.2012.49","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 11
Abstract
The research interest in UAVs (Unmanned Aerial Vehicles) has grown in the past few years, comprising a wide range of applications. New technologies on MEMS (Micro-Electro-Mechanical Systems) sensors and signal processing techniques have been also strong influences on this type of research. This work is dedicated to the dynamic modeling and control implementation of a quad rotor UAV using linear control techniques for position tracking via image, ultrasonic, compass, acceleration and gyroscopic sensors, applying pole placement control technique. Simulation on the performance of the controller with a Kalman Filter is presented.