Traditional weather observation methods have limitations in detecting low-altitude,small-scale areas and sudden weather events.They often have insufficient coverage,slow response,or high costs.Multi-rotor unmanned aer...Traditional weather observation methods have limitations in detecting low-altitude,small-scale areas and sudden weather events.They often have insufficient coverage,slow response,or high costs.Multi-rotor unmanned aerial vehicles(UAVs),with their strong vertical take-off and landing ability,precise hovering,flexible movement,and ability to carry various small sensors,are gradually becoming key tools to fill these gaps and build three-dimensional weather observation networks.They show important value in medium-and small-scale weather monitoring and emergency weather support.This paper reviews the main sensors for multi-rotor weather drones,their operating modes,and key supporting technologies,summarizes the current state of technology,and provides references for future development.展开更多
This paper shows that the aerodynamic effects can be compensated in a quadrotor system by means of a control allocation approach using neural networks.Thus,the system performance can be improved by replacing the class...This paper shows that the aerodynamic effects can be compensated in a quadrotor system by means of a control allocation approach using neural networks.Thus,the system performance can be improved by replacing the classic allocation matrix,without using the aerodynamic inflow equations directly.The network training is performed offline,which requires low computational power.The target system is a Parrot MAMBO drone whose flight control is composed of PD-PID controllers followed by the proposed neural network control allocation algorithm.Such a quadrotor is particularly susceptible to the aerodynamics effects of interest to this work,because of its small size.We compared the mechanical torques commanded by the flight controller,i.e.,the control input,to those actually generated by the actuators and established at the aircraft.It was observed that the proposed neural network was able to closely match them,while the classic allocation matrix could not achieve that.The allocation error was also determined in both cases.Furthermore,the closed-loop performance also improved with the use of the proposed neural network control allocation,as well as the quality of the thrust and torque signals,in which we perceived a much less noisy behavior.展开更多
Manned multi-rotor electric Vertical Takeoff and Landing(eVTOL)aircraft is prone to actuator saturation due to its weak yaw control efficiency.To address this inherent problem,a rotor cross-tilt configuration is appli...Manned multi-rotor electric Vertical Takeoff and Landing(eVTOL)aircraft is prone to actuator saturation due to its weak yaw control efficiency.To address this inherent problem,a rotor cross-tilt configuration is applied in this paper,with an optimization method proposed to improve the overall control efficiency of the vehicle.First,a flight dynamics model of a 500-kg manned multi-rotor eVTOL aircraft is established.The accuracy of the co-axial rotor model is verified using a single arm test bench,and the accuracy of the flight dynamics model is verified by the flight test data.Then,an optimization method is designed based on the flight dynamics model to calculate an optimal rotor cross-tilt mounting angle,which not only improves the yaw control efficiency,but also basically maintains the efficiency of other control channels.The ideal rotor cross-tilt mounting angle for the prototype is determined by comprehensively considering the optimal results with different payloads,forward flight speeds,and rotor mounting angle errors.Finally,the feasibility of the rotor cross-tilt mounting angle is proved by analyzing the control derivatives of the flight dynamics model,the test data of a ground three Degree-of-Freedom(3DOF)platform,and the actual flight data of the prototype.The results show that a fixed rotor cross-tilt mounting angle can achieve ideal yaw control effectiveness,improving yaw angle tracking and hold ability,increasing endurance time,and achieving good yaw control performance with different payloads and forward speeds.展开更多
[Objective] The paper was to explore chemical control of Ceratovacuna lanigera Zehntner with multi-rotor unmanned aerial vehicle. [Method] According to the outbreak characteristics of C. lanigera,multi-rotor unmanned ...[Objective] The paper was to explore chemical control of Ceratovacuna lanigera Zehntner with multi-rotor unmanned aerial vehicle. [Method] According to the outbreak characteristics of C. lanigera,multi-rotor unmanned aerial vehicle was applied for flying control test. Referred to the spraying characteristics of multi-rotor unmanned aerial vehicle,two kinds of microcapsule pesticides,ALV-1501 and ALV-1502,and two kinds of spraying additives,SPA-01 and SPA-02,were designed to control C. lanigera. [Result] The control effect of ALV-1501 at the dose of 2. 25 L/hm;was 60. 02% at 1 d post administration and 54. 14%at 5 d post administration; the control effects of ALV-1502 at the dose of 2. 1 L/hm2 were 76. 35% and 81. 35% at 1 and 5 d post administration,respectively.Compared to individual pesticide,the control effects of ALV-1501 were improved 1. 42-1. 47 times and 1. 16-1. 14 times by adding 0. 6 L/hm;SPA-01 and SPA-02 in pesticide liquid,respectively. The control effects of ALV-1502 were improved 1. 23-1. 25 times and 1. 15-1. 16 times by adding 0. 6 L/hm2 SPA-01 and SPA-02,respectively. The control effects against C. lanigera at three flying speeds of 3,5 and 8 m/s were 99. 72%-99. 97%,81. 6%-99. 81% and63. 52%-68. 77%,respectively. [Conclusion]The results will provide a reference for application of multi-rotor unmanned aerial vehicle in prevention and control of C. lanigera in sugarcane field.展开更多
基金supported by the High-Level Talent Foundation of Natural Science Research Funding Project for Ordinary Universities in Jiangsu Province(grant number.25KJD520004)Jinling Institute of Technology(grant number.JIT-B-202413).
文摘Traditional weather observation methods have limitations in detecting low-altitude,small-scale areas and sudden weather events.They often have insufficient coverage,slow response,or high costs.Multi-rotor unmanned aerial vehicles(UAVs),with their strong vertical take-off and landing ability,precise hovering,flexible movement,and ability to carry various small sensors,are gradually becoming key tools to fill these gaps and build three-dimensional weather observation networks.They show important value in medium-and small-scale weather monitoring and emergency weather support.This paper reviews the main sensors for multi-rotor weather drones,their operating modes,and key supporting technologies,summarizes the current state of technology,and provides references for future development.
文摘This paper shows that the aerodynamic effects can be compensated in a quadrotor system by means of a control allocation approach using neural networks.Thus,the system performance can be improved by replacing the classic allocation matrix,without using the aerodynamic inflow equations directly.The network training is performed offline,which requires low computational power.The target system is a Parrot MAMBO drone whose flight control is composed of PD-PID controllers followed by the proposed neural network control allocation algorithm.Such a quadrotor is particularly susceptible to the aerodynamics effects of interest to this work,because of its small size.We compared the mechanical torques commanded by the flight controller,i.e.,the control input,to those actually generated by the actuators and established at the aircraft.It was observed that the proposed neural network was able to closely match them,while the classic allocation matrix could not achieve that.The allocation error was also determined in both cases.Furthermore,the closed-loop performance also improved with the use of the proposed neural network control allocation,as well as the quality of the thrust and torque signals,in which we perceived a much less noisy behavior.
基金co-supported by the National Natural Science Foundation of China(Nos.12202406,11672128)。
文摘Manned multi-rotor electric Vertical Takeoff and Landing(eVTOL)aircraft is prone to actuator saturation due to its weak yaw control efficiency.To address this inherent problem,a rotor cross-tilt configuration is applied in this paper,with an optimization method proposed to improve the overall control efficiency of the vehicle.First,a flight dynamics model of a 500-kg manned multi-rotor eVTOL aircraft is established.The accuracy of the co-axial rotor model is verified using a single arm test bench,and the accuracy of the flight dynamics model is verified by the flight test data.Then,an optimization method is designed based on the flight dynamics model to calculate an optimal rotor cross-tilt mounting angle,which not only improves the yaw control efficiency,but also basically maintains the efficiency of other control channels.The ideal rotor cross-tilt mounting angle for the prototype is determined by comprehensively considering the optimal results with different payloads,forward flight speeds,and rotor mounting angle errors.Finally,the feasibility of the rotor cross-tilt mounting angle is proved by analyzing the control derivatives of the flight dynamics model,the test data of a ground three Degree-of-Freedom(3DOF)platform,and the actual flight data of the prototype.The results show that a fixed rotor cross-tilt mounting angle can achieve ideal yaw control effectiveness,improving yaw angle tracking and hold ability,increasing endurance time,and achieving good yaw control performance with different payloads and forward speeds.
基金Supported by Transformational Fund of Central Agricultural Scientific and Technological Achievements in China(2014GB2E000042)Special Fund of China Agricultural Industry Research System(CARS-20-2-1)
文摘[Objective] The paper was to explore chemical control of Ceratovacuna lanigera Zehntner with multi-rotor unmanned aerial vehicle. [Method] According to the outbreak characteristics of C. lanigera,multi-rotor unmanned aerial vehicle was applied for flying control test. Referred to the spraying characteristics of multi-rotor unmanned aerial vehicle,two kinds of microcapsule pesticides,ALV-1501 and ALV-1502,and two kinds of spraying additives,SPA-01 and SPA-02,were designed to control C. lanigera. [Result] The control effect of ALV-1501 at the dose of 2. 25 L/hm;was 60. 02% at 1 d post administration and 54. 14%at 5 d post administration; the control effects of ALV-1502 at the dose of 2. 1 L/hm2 were 76. 35% and 81. 35% at 1 and 5 d post administration,respectively.Compared to individual pesticide,the control effects of ALV-1501 were improved 1. 42-1. 47 times and 1. 16-1. 14 times by adding 0. 6 L/hm;SPA-01 and SPA-02 in pesticide liquid,respectively. The control effects of ALV-1502 were improved 1. 23-1. 25 times and 1. 15-1. 16 times by adding 0. 6 L/hm2 SPA-01 and SPA-02,respectively. The control effects against C. lanigera at three flying speeds of 3,5 and 8 m/s were 99. 72%-99. 97%,81. 6%-99. 81% and63. 52%-68. 77%,respectively. [Conclusion]The results will provide a reference for application of multi-rotor unmanned aerial vehicle in prevention and control of C. lanigera in sugarcane field.
