The guidance and control for UAV aerial refueling docking based on dynamic inversion with L1 adaptive augmentation is studied.In order to improve the tracking performance of UAV aerial refueling docking,aguidance algo...The guidance and control for UAV aerial refueling docking based on dynamic inversion with L1 adaptive augmentation is studied.In order to improve the tracking performance of UAV aerial refueling docking,aguidance algorithm is developed to satisfy the tracking requirement of position and velocity,and it generates the UAV flight control loop commands.In flight control loop,based on the 6-DOF nonlinear model,the angular rate loop and the attitude loop are separated based on time-scale principle and the control law is designed using dynamic inversion.The throttle control is also derived from dynamic inversion method.Moreover,an L1 adaptive augmentation is developed to compensate for the undesirable effects of modeling uncertainty and disturbance.Nonlinear digital simulations are carried out.The results show that the guidance and control system has good tracking performance and robustness in achieving accurate aerial refueling docking.展开更多
Based on the job demands-resources(JD-R)model,this study aims to investigate how algorithmic behavioral constraint and algorithmic tracking evaluation affect gig workers’turnover intention by increasing relative depr...Based on the job demands-resources(JD-R)model,this study aims to investigate how algorithmic behavioral constraint and algorithmic tracking evaluation affect gig workers’turnover intention by increasing relative deprivation and the extent to which this mediating role is moderated by algorithmic standardized guidance.Data from 242 gig workers were collected in two rounds and used to test the hypotheses.The results reveal that algorithmic behavioral constraints and algorithmic tracking evaluation are positively related to turnover intention,while algorithmic standardized guidance is negatively related to turnover intention.Moreover,algorithmic behavioral constraint and algorithmic tracking evaluation are positively related to turnover intention through relative deprivation,with algorithmic standardized guidance weakening this effect.展开更多
基金supported by the National Natural Science Foundation of China(No.61273050)the Aeronautical Science Foundation of China(No.20121352026)
文摘The guidance and control for UAV aerial refueling docking based on dynamic inversion with L1 adaptive augmentation is studied.In order to improve the tracking performance of UAV aerial refueling docking,aguidance algorithm is developed to satisfy the tracking requirement of position and velocity,and it generates the UAV flight control loop commands.In flight control loop,based on the 6-DOF nonlinear model,the angular rate loop and the attitude loop are separated based on time-scale principle and the control law is designed using dynamic inversion.The throttle control is also derived from dynamic inversion method.Moreover,an L1 adaptive augmentation is developed to compensate for the undesirable effects of modeling uncertainty and disturbance.Nonlinear digital simulations are carried out.The results show that the guidance and control system has good tracking performance and robustness in achieving accurate aerial refueling docking.
基金supported by the National Natural Science Foundation of China(#71832003,#72272054)Humanities and Social Science Foundation project of Ministry of Education(#22YJA630049)+1 种基金Hunan Provincial Natural Science Foundation Project(#2022JJ30208)Key Project of Changsha Natural Science Foundation(#kq2202302).
文摘Based on the job demands-resources(JD-R)model,this study aims to investigate how algorithmic behavioral constraint and algorithmic tracking evaluation affect gig workers’turnover intention by increasing relative deprivation and the extent to which this mediating role is moderated by algorithmic standardized guidance.Data from 242 gig workers were collected in two rounds and used to test the hypotheses.The results reveal that algorithmic behavioral constraints and algorithmic tracking evaluation are positively related to turnover intention,while algorithmic standardized guidance is negatively related to turnover intention.Moreover,algorithmic behavioral constraint and algorithmic tracking evaluation are positively related to turnover intention through relative deprivation,with algorithmic standardized guidance weakening this effect.
