{"title":"通过降噪扩展扰动观测器估算四旋翼机器人在移动平台上着陆时的空气动力扰动","authors":"Yufei Zhang;Zhong Wu;Tong Wei","doi":"10.1109/JSEN.2024.3472025","DOIUrl":null,"url":null,"abstract":"As the main factor affecting the safety of quadrotor unmanned aerial vehicles (UAVs) on moving platforms, aerodynamic disturbances are not easy to directly measure but can be effectively estimated from control system information by extended disturbance observers (EDOs). To guarantee estimation accuracy for aerodynamic disturbances with fast dynamics induced by increased speed of landing platforms, high bandwidth is necessary for EDOs. However, high bandwidth of EDOs will result in high gain problems which may amplify measurement noises in the control system. To suppress the effects of measurement noises on estimation accuracy, a pair of noise reduction EDOs (NREDOs) are proposed to estimate aerodynamic disturbances for quadrotor UAVs landing on moving platforms. The pair observers are designed to estimate force and torque disturbances for translational and rotational subsystems, respectively. Different from EDOs, each NREDO takes the integral of the lumped disturbance as an augmented state and virtual measurement in the state-space disturbance model. The prediction error of the virtual measurement is taken as an innovation to update the observer. Moreover, a tuning rule of observer gains is proposed to further improve estimation accuracy. Theoretical analysis indicates that the integrals provide NREDOs with superior performance in noise suppression than EDOs. Landing experiments on a platform of 25 km/h demonstrate the effectiveness of the proposed scheme.","PeriodicalId":447,"journal":{"name":"IEEE Sensors Journal","volume":"24 22","pages":"37566-37574"},"PeriodicalIF":4.3000,"publicationDate":"2024-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Aerodynamic Disturbance Estimation in Quadrotor Landing on Moving Platform via Noise Reduction Extended Disturbance Observer\",\"authors\":\"Yufei Zhang;Zhong Wu;Tong Wei\",\"doi\":\"10.1109/JSEN.2024.3472025\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"As the main factor affecting the safety of quadrotor unmanned aerial vehicles (UAVs) on moving platforms, aerodynamic disturbances are not easy to directly measure but can be effectively estimated from control system information by extended disturbance observers (EDOs). To guarantee estimation accuracy for aerodynamic disturbances with fast dynamics induced by increased speed of landing platforms, high bandwidth is necessary for EDOs. However, high bandwidth of EDOs will result in high gain problems which may amplify measurement noises in the control system. To suppress the effects of measurement noises on estimation accuracy, a pair of noise reduction EDOs (NREDOs) are proposed to estimate aerodynamic disturbances for quadrotor UAVs landing on moving platforms. The pair observers are designed to estimate force and torque disturbances for translational and rotational subsystems, respectively. Different from EDOs, each NREDO takes the integral of the lumped disturbance as an augmented state and virtual measurement in the state-space disturbance model. The prediction error of the virtual measurement is taken as an innovation to update the observer. Moreover, a tuning rule of observer gains is proposed to further improve estimation accuracy. Theoretical analysis indicates that the integrals provide NREDOs with superior performance in noise suppression than EDOs. Landing experiments on a platform of 25 km/h demonstrate the effectiveness of the proposed scheme.\",\"PeriodicalId\":447,\"journal\":{\"name\":\"IEEE Sensors Journal\",\"volume\":\"24 22\",\"pages\":\"37566-37574\"},\"PeriodicalIF\":4.3000,\"publicationDate\":\"2024-10-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEE Sensors Journal\",\"FirstCategoryId\":\"103\",\"ListUrlMain\":\"https://ieeexplore.ieee.org/document/10709884/\",\"RegionNum\":2,\"RegionCategory\":\"综合性期刊\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENGINEERING, ELECTRICAL & ELECTRONIC\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Sensors Journal","FirstCategoryId":"103","ListUrlMain":"https://ieeexplore.ieee.org/document/10709884/","RegionNum":2,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
引用次数: 0
摘要
作为影响移动平台上四旋翼无人飞行器(UAV)安全的主要因素,气动扰动不易直接测量,但可通过扩展扰动观测器(EDOs)从控制系统信息中进行有效估计。为了保证对着陆平台速度增加引起的快速动态气动扰动的估计精度,EDOs 必须具有高带宽。然而,EDO 的高带宽会导致高增益问题,从而可能放大控制系统中的测量噪声。为了抑制测量噪声对估计精度的影响,我们提出了一对降噪 EDO(NREDO),用于估计在移动平台上着陆的四旋翼无人机的气动干扰。这对观测器分别用于估计平移子系统和旋转子系统的力和扭矩干扰。与 EDO 不同的是,每个 NREDO 都将叠加干扰的积分作为状态空间干扰模型中的增强状态和虚拟测量。虚拟测量的预测误差作为更新观测器的创新。此外,还提出了观测器增益的调整规则,以进一步提高估计精度。理论分析表明,积分为 NREDO 提供了比 EDO 更优越的噪声抑制性能。在时速 25 公里的平台上进行的着陆实验证明了所提方案的有效性。
Aerodynamic Disturbance Estimation in Quadrotor Landing on Moving Platform via Noise Reduction Extended Disturbance Observer
As the main factor affecting the safety of quadrotor unmanned aerial vehicles (UAVs) on moving platforms, aerodynamic disturbances are not easy to directly measure but can be effectively estimated from control system information by extended disturbance observers (EDOs). To guarantee estimation accuracy for aerodynamic disturbances with fast dynamics induced by increased speed of landing platforms, high bandwidth is necessary for EDOs. However, high bandwidth of EDOs will result in high gain problems which may amplify measurement noises in the control system. To suppress the effects of measurement noises on estimation accuracy, a pair of noise reduction EDOs (NREDOs) are proposed to estimate aerodynamic disturbances for quadrotor UAVs landing on moving platforms. The pair observers are designed to estimate force and torque disturbances for translational and rotational subsystems, respectively. Different from EDOs, each NREDO takes the integral of the lumped disturbance as an augmented state and virtual measurement in the state-space disturbance model. The prediction error of the virtual measurement is taken as an innovation to update the observer. Moreover, a tuning rule of observer gains is proposed to further improve estimation accuracy. Theoretical analysis indicates that the integrals provide NREDOs with superior performance in noise suppression than EDOs. Landing experiments on a platform of 25 km/h demonstrate the effectiveness of the proposed scheme.
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