{"title":"Robust control of single axis gimbal platform for micro air vehicles based on uncertainty and disturbance estimation","authors":"Akshata Kori, C. Ananda, T. Chandar","doi":"10.1109/ICMAE.2016.7549588","DOIUrl":null,"url":null,"abstract":"Stabilization of gimbal platform housing the payload in Micro Air Vehicle (MAV) applications is crucial in operational situations. The gimbal positioning is achieved through a DC servo motor, which needs to be controlled for the desired performance under uncertainty and disturbance. In this work a novel robust control strategy employing the technique of Uncertainty and Disturbance Estimator (UDE) has been developed. The strategy has been validated through numerical solutions and experimentation. A performance comparison of the proposed strategy with well-known Proportional Integral Derivative (PID) controller has also been accomplished.","PeriodicalId":371629,"journal":{"name":"2016 7th International Conference on Mechanical and Aerospace Engineering (ICMAE)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 7th International Conference on Mechanical and Aerospace Engineering (ICMAE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICMAE.2016.7549588","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5
Abstract
Stabilization of gimbal platform housing the payload in Micro Air Vehicle (MAV) applications is crucial in operational situations. The gimbal positioning is achieved through a DC servo motor, which needs to be controlled for the desired performance under uncertainty and disturbance. In this work a novel robust control strategy employing the technique of Uncertainty and Disturbance Estimator (UDE) has been developed. The strategy has been validated through numerical solutions and experimentation. A performance comparison of the proposed strategy with well-known Proportional Integral Derivative (PID) controller has also been accomplished.