Autonomous landing has become a core technology of unmanned aerial vehicle(UAV)guidance,navigation,and control system in recent years.This paper discusses the vision⁃based relative position and attitude estimation bet...Autonomous landing has become a core technology of unmanned aerial vehicle(UAV)guidance,navigation,and control system in recent years.This paper discusses the vision⁃based relative position and attitude estimation between fixed⁃wing UAV and runway,which is a key issue in autonomous landing.Images taken by a airborne camera was used and a runway detection method based on long⁃line feature and gradient projection is proposed,which solved the problem that the traditional Hough transform requires much calculation time and easily detects end points by mistake.Under the premise of the known width and length of the runway,position and attitude estimation algorithm used the image processing results and adopted an estimation algorithm based on orthogonal iteration.The method took the objective space error as error function and effectively improved the accuracy of linear algorithm through iteration.The experimental results verified the effectiveness of the proposed algorithms.展开更多
The clarification of the critical operating conditions and the failure mechanism of superlubricity systems is of great significance for seeking appropriate applications in industry.In this work,the superlubricity regi...The clarification of the critical operating conditions and the failure mechanism of superlubricity systems is of great significance for seeking appropriate applications in industry.In this work,the superlubricity region of 1,3-diketone oil EPND(1-(4-ethyl phenyl)nonane-1,3-dione)on steel surfaces was identified by performing a series of ball-on-disk rotation friction tests under various normal loads(3.5–64 N)and sliding velocities(100–600 mm/s).The result shows that beyond certain loads or velocities superlubricity failed to be reached due to the following negative effects:(1)Under low load(≤3.5 N),insufficient running-in could not ensure good asperity level conformity between the upper and lower surfaces;(2)the high load(≥64 N)produced excessive wear and big debris;(3)at low velocity(≤100 mm/s),the weak hydrodynamic effect and the generated debris deteriorated the lubrication performance;(4)at high velocity(≥500 mm/s),oil migration occurred and resulted in oil starvation.In order to expand the load and velocity boundaries of the superlubricity region,an optimized running-in method was proposed to avoid the above negative effects.By initially operating a running-in process under a suitable combination of load and velocity(e.g.16 N and 300 mm/s)and then switching to the target certain higher or lower load/velocity(e.g.100 N),the superlubricity region could break through its original boundaries.The result of this work suggests that oil-based superlubricity of 1,3-diketone is a promising solution to friction reduction under suitable operating conditions especially using a well-designed running-in strategy.展开更多
基金Sponsored by the Fundamental Research Funds for the Central Universities(Grant No.NP2019105)the Funds from the Post⁃graduate Creative Base in Nanjing University of Aeronautics and Astronautics(Grant No.kfjj20190716).
文摘Autonomous landing has become a core technology of unmanned aerial vehicle(UAV)guidance,navigation,and control system in recent years.This paper discusses the vision⁃based relative position and attitude estimation between fixed⁃wing UAV and runway,which is a key issue in autonomous landing.Images taken by a airborne camera was used and a runway detection method based on long⁃line feature and gradient projection is proposed,which solved the problem that the traditional Hough transform requires much calculation time and easily detects end points by mistake.Under the premise of the known width and length of the runway,position and attitude estimation algorithm used the image processing results and adopted an estimation algorithm based on orthogonal iteration.The method took the objective space error as error function and effectively improved the accuracy of linear algorithm through iteration.The experimental results verified the effectiveness of the proposed algorithms.
基金supported by the National Natural Science Foundation of China(No.51975437)the Sino-German Center for Research Promotion(SGC)(GZ 1576).
文摘The clarification of the critical operating conditions and the failure mechanism of superlubricity systems is of great significance for seeking appropriate applications in industry.In this work,the superlubricity region of 1,3-diketone oil EPND(1-(4-ethyl phenyl)nonane-1,3-dione)on steel surfaces was identified by performing a series of ball-on-disk rotation friction tests under various normal loads(3.5–64 N)and sliding velocities(100–600 mm/s).The result shows that beyond certain loads or velocities superlubricity failed to be reached due to the following negative effects:(1)Under low load(≤3.5 N),insufficient running-in could not ensure good asperity level conformity between the upper and lower surfaces;(2)the high load(≥64 N)produced excessive wear and big debris;(3)at low velocity(≤100 mm/s),the weak hydrodynamic effect and the generated debris deteriorated the lubrication performance;(4)at high velocity(≥500 mm/s),oil migration occurred and resulted in oil starvation.In order to expand the load and velocity boundaries of the superlubricity region,an optimized running-in method was proposed to avoid the above negative effects.By initially operating a running-in process under a suitable combination of load and velocity(e.g.16 N and 300 mm/s)and then switching to the target certain higher or lower load/velocity(e.g.100 N),the superlubricity region could break through its original boundaries.The result of this work suggests that oil-based superlubricity of 1,3-diketone is a promising solution to friction reduction under suitable operating conditions especially using a well-designed running-in strategy.