M. Rodríguez-Licea, A. Barranco-Gutiérrez, F. Pérez-Pinal, J. Parada-Salado
{"title":"Online switched model identification platform for an electric tricycle","authors":"M. Rodríguez-Licea, A. Barranco-Gutiérrez, F. Pérez-Pinal, J. Parada-Salado","doi":"10.1109/ROPEC.2017.8261586","DOIUrl":null,"url":null,"abstract":"In this article is presented an electronic experimental platform or kit; this platform consists of an electronic circuit board, a handlebar position-sensor and a capacitive sensor on the front wheel. The platform is intended to obtain a set of linear mathematical models of an electric tricycle for different driving situations. Such models have the throttle-position and the handlebar-angle as inputs and the yaw angle, positioning and speed as states. The models are calculated in realtime, at the same time acquisition data is preserved in a SD-memory if desired. Applications of this platform are dynamical modeling, educational purposes, safety systems and autonomous vehicles control design among others. This low-cost platform can be adapted to any electric tricycle and extended for its use on e-bicycles and electric 4-wheeled vehicles.","PeriodicalId":260469,"journal":{"name":"2017 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC)","volume":"47 9","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ROPEC.2017.8261586","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
In this article is presented an electronic experimental platform or kit; this platform consists of an electronic circuit board, a handlebar position-sensor and a capacitive sensor on the front wheel. The platform is intended to obtain a set of linear mathematical models of an electric tricycle for different driving situations. Such models have the throttle-position and the handlebar-angle as inputs and the yaw angle, positioning and speed as states. The models are calculated in realtime, at the same time acquisition data is preserved in a SD-memory if desired. Applications of this platform are dynamical modeling, educational purposes, safety systems and autonomous vehicles control design among others. This low-cost platform can be adapted to any electric tricycle and extended for its use on e-bicycles and electric 4-wheeled vehicles.