M. Rahmati, Mohammad Reza Arvan, Babak Nadjar Araabi
{"title":"基于混合扩展卡尔曼滤波的垂直起降高度控制转子状态估计","authors":"M. Rahmati, Mohammad Reza Arvan, Babak Nadjar Araabi","doi":"10.1109/ICCIAUTOM.2017.8258676","DOIUrl":null,"url":null,"abstract":"In this paper, state variables of eight-rotor Vertical Take-off and Landing (VTOL) aircraft are estimated and used in the feedback loop for altitude control. Due to output measurement noise, the measured signal cannot be directly used in estimation and control. To study the effect of filtering on system's performance, we consider three modes of filtering, namely, (1) no filter, (2) firstorder low-pass filter, and (3) hybrid extended Kalman filter. System control in the no filter mode is not favorable. There is significant tracking error, and control signal consists of frequent fluctuations with large amplitude. In the second mode, when using first-order low-pass filter, tracking condition of altitude reference signal is better, but the control signal still has frequent fluctuations with large amplitude and could not be implemented. In the third mode, when hybrid extended Kalman filter is used, tracking of reference signal is performed well and the control signal is in good condition with mitigated fluctuations and bounded amplitude.","PeriodicalId":197207,"journal":{"name":"2017 5th International Conference on Control, Instrumentation, and Automation (ICCIA)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"State estimation of VTOL octorotor for altitude control by using hybrid extended Kalman filter\",\"authors\":\"M. Rahmati, Mohammad Reza Arvan, Babak Nadjar Araabi\",\"doi\":\"10.1109/ICCIAUTOM.2017.8258676\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, state variables of eight-rotor Vertical Take-off and Landing (VTOL) aircraft are estimated and used in the feedback loop for altitude control. Due to output measurement noise, the measured signal cannot be directly used in estimation and control. To study the effect of filtering on system's performance, we consider three modes of filtering, namely, (1) no filter, (2) firstorder low-pass filter, and (3) hybrid extended Kalman filter. System control in the no filter mode is not favorable. There is significant tracking error, and control signal consists of frequent fluctuations with large amplitude. In the second mode, when using first-order low-pass filter, tracking condition of altitude reference signal is better, but the control signal still has frequent fluctuations with large amplitude and could not be implemented. In the third mode, when hybrid extended Kalman filter is used, tracking of reference signal is performed well and the control signal is in good condition with mitigated fluctuations and bounded amplitude.\",\"PeriodicalId\":197207,\"journal\":{\"name\":\"2017 5th International Conference on Control, Instrumentation, and Automation (ICCIA)\",\"volume\":null,\"pages\":null},\"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 5th International Conference on Control, Instrumentation, and Automation (ICCIA)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCIAUTOM.2017.8258676\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 5th International Conference on Control, Instrumentation, and Automation (ICCIA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCIAUTOM.2017.8258676","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
State estimation of VTOL octorotor for altitude control by using hybrid extended Kalman filter
In this paper, state variables of eight-rotor Vertical Take-off and Landing (VTOL) aircraft are estimated and used in the feedback loop for altitude control. Due to output measurement noise, the measured signal cannot be directly used in estimation and control. To study the effect of filtering on system's performance, we consider three modes of filtering, namely, (1) no filter, (2) firstorder low-pass filter, and (3) hybrid extended Kalman filter. System control in the no filter mode is not favorable. There is significant tracking error, and control signal consists of frequent fluctuations with large amplitude. In the second mode, when using first-order low-pass filter, tracking condition of altitude reference signal is better, but the control signal still has frequent fluctuations with large amplitude and could not be implemented. In the third mode, when hybrid extended Kalman filter is used, tracking of reference signal is performed well and the control signal is in good condition with mitigated fluctuations and bounded amplitude.