Jing Chang, J. Cieslak, A. Zolghadri, J. Dávila, Jun Zhou
{"title":"Design of sliding mode observers for quadrotor pitch/roll angle estimation via IMU measurements","authors":"Jing Chang, J. Cieslak, A. Zolghadri, J. Dávila, Jun Zhou","doi":"10.1109/RED-UAS.2015.7441032","DOIUrl":null,"url":null,"abstract":"This paper addresses the problem of quadrotor pitch/roll estimation when only IMU sensors are available. A Smooth Sliding Mode (SSM) algorithm is firstly considered to provide reliable estimation of pitch/roll angles under a smoothness disturbance assumption. The performance is compared to use a recently developed high-order sliding mode (HOSM) differentiator. In addition, the observer performance is discussed for the case where measurements are corrupted by bias and noise. Simulation results obtained on the nonlinear model of quadrotor illustrate the benefits of the proposed techniques.","PeriodicalId":317787,"journal":{"name":"2015 Workshop on Research, Education and Development of Unmanned Aerial Systems (RED-UAS)","volume":"197 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"11","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 Workshop on Research, Education and Development of Unmanned Aerial Systems (RED-UAS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/RED-UAS.2015.7441032","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
This paper addresses the problem of quadrotor pitch/roll estimation when only IMU sensors are available. A Smooth Sliding Mode (SSM) algorithm is firstly considered to provide reliable estimation of pitch/roll angles under a smoothness disturbance assumption. The performance is compared to use a recently developed high-order sliding mode (HOSM) differentiator. In addition, the observer performance is discussed for the case where measurements are corrupted by bias and noise. Simulation results obtained on the nonlinear model of quadrotor illustrate the benefits of the proposed techniques.