{"title":"Discrete-time flatness-based control for a twin rotor helicopter with an Extended Kalman filter","authors":"Hao Sun, S. Butt, H. Aschemann","doi":"10.1109/AIM.2016.7576818","DOIUrl":null,"url":null,"abstract":"In this paper, a discrete-time flatness-based control for a twin rotor aerodynamic system with two degrees of freedom is proposed that outperforms a standard quasi-continuous implementation, cf. [1]. A control-oriented state-space model is derived using Lagrange's equations. The resulting nonlinear fourth-order model possesses two control inputs, and is affected by two unknown disturbance torques due to modelling simplifications and unmeasurable torques. Accordingly, a discrete-time Extended Kalman Filter is employed to estimate these lumped disturbances and unmeasurable states as well. The proposed control approach in combination with the discrete-time Extended Kalman Filter is implemented and validated on a laboratory test rig. The effectiveness of the discrete-time flatness-based control is highlighted by experimental results showing an excellent tracking behaviour.","PeriodicalId":154457,"journal":{"name":"2016 IEEE International Conference on Advanced Intelligent Mechatronics (AIM)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 IEEE International Conference on Advanced Intelligent Mechatronics (AIM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/AIM.2016.7576818","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
In this paper, a discrete-time flatness-based control for a twin rotor aerodynamic system with two degrees of freedom is proposed that outperforms a standard quasi-continuous implementation, cf. [1]. A control-oriented state-space model is derived using Lagrange's equations. The resulting nonlinear fourth-order model possesses two control inputs, and is affected by two unknown disturbance torques due to modelling simplifications and unmeasurable torques. Accordingly, a discrete-time Extended Kalman Filter is employed to estimate these lumped disturbances and unmeasurable states as well. The proposed control approach in combination with the discrete-time Extended Kalman Filter is implemented and validated on a laboratory test rig. The effectiveness of the discrete-time flatness-based control is highlighted by experimental results showing an excellent tracking behaviour.