{"title":"A new on-line observer-based controller for wheeled non-holonomic mobile robots","authors":"M. F. Hassan, E. Aljuwaiser, R. Badr","doi":"10.1109/CCECE.2017.7946753","DOIUrl":null,"url":null,"abstract":"In this paper, a new on-line observer-based controller is developed to implement trajectory tracking for wheeled non-holonomic mobile robots. The proposed approach is designed to track a user-specified trajectory which is not required to be pre-specified. A novel estimation technique is presented leading to short transient estimation period with reasonable overshoot which are hard to achieve using available estimators. The tracking and regulation functions are implemented using a two-component control strategy based on the estimated states. Applications of the proposed technique to different case studies are presented to illustrate the effectiveness of the developed approach.","PeriodicalId":238720,"journal":{"name":"2017 IEEE 30th Canadian Conference on Electrical and Computer Engineering (CCECE)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 IEEE 30th Canadian Conference on Electrical and Computer Engineering (CCECE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CCECE.2017.7946753","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
In this paper, a new on-line observer-based controller is developed to implement trajectory tracking for wheeled non-holonomic mobile robots. The proposed approach is designed to track a user-specified trajectory which is not required to be pre-specified. A novel estimation technique is presented leading to short transient estimation period with reasonable overshoot which are hard to achieve using available estimators. The tracking and regulation functions are implemented using a two-component control strategy based on the estimated states. Applications of the proposed technique to different case studies are presented to illustrate the effectiveness of the developed approach.