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1455 results about "Flight data" patented technology

Small-sized depopulated helicopter independent flight control system

ActiveCN101192064ARealize fully autonomous flight capabilityImprove reliabilityAttitude controlTotal factory controlControl signalOn board
The invention relates to a miniature unmanned helicopter auto flight control system which comprises an on-board control system, wherein, an on-board computer gets signals from sensors through a serial port, and exchanges data with a ground-based computer through on-board and ground wireless Ethernet access points; the on-board computer carries out serial communication with a digital signal processor to control a steering engine set of the unmanned helicopter; a remote control signal receiver outputs to the digital signal processor and then is connected with the on-board computer through a serial port, and an auto control signal and a ground remote control signal are accumulated to get a current steering engine control signal. And the auto flight control system also comprises a ground control system, wherein, the ground-based computer transmits flight control instructions to the on-board computer and receives and records flight data; through operating a ground helicopter remote controller, manual control instructions can be transmitted to the on-board remote control signal receiver via wireless radio frequency signals. The invention can improve the auto flight ability of the miniature unmanned helicopter, strengthen system reliability, expand the application range of the unmanned helicopter and enable the helicopter to complete given missions beyond the visual range.
Owner:SHENYANG INST OF AUTOMATION - CHINESE ACAD OF SCI

Unmanned aerial vehicle trajectory optimization method and device based on deep reinforcement learning and unmanned aerial vehicle

ActiveCN110488861AAchieve flight control optimizationMeet the needs of the actual flight environmentPosition/course control in three dimensionsFlight directionTrajectory optimization
The invention discloses an unmanned aerial vehicle trajectory optimization method and device based on deep reinforcement learning and an unmanned aerial vehicle. The method comprises the steps: constructing a reinforcement learning network in advance, and generating state data and action decision data in real time in a flight process of an unmanned aerial vehicle; and taking the state data as input, the action decision data as output and the instantaneous energy efficiency as reward return, optimizing strategy parameters by utilizing a PPO algorithm, and outputting an optimal strategy. The device comprises a construction module, a training data collection module and a training module. The unmanned aerial vehicle comprises a processor, and the processor is used for executing the unmanned aerial vehicle trajectory optimization method based on deep reinforcement learning. The method has the capability of carrying out autonomous learning from accumulated flight data, can intelligently determine the optimal flight speed, acceleration, flight direction and return time in an unknown communication scene, concludes a flight strategy with the optimal energy efficiency, and is higher in environment adaptability and generalization capability.
Owner:BEIJING UNIV OF POSTS & TELECOMM

Unmanned helicopter relay data link system and control method thereof

The invention discloses an unmanned helicopter relay data link system. The unmanned helicopter relay data link system comprises a relay unmanned helicopter module, a base station module, a ground station module, a remote controller module, a wireless transmitting module, a wireless receiving module, a relay unmanned helicopter main controller module and a target unmanned helicopter main controller module. The invention also discloses a control method for controlling the unmanned helicopter relay data link system. The control method comprises the following steps: 1, outputting the parameters of a controller and transmitting the output parameters to the base station module via a UDP network protocol by the ground station module; 2, encapsulating acquired flight control data and task data into one data frame by the base station module; 3, extracting the flight data and the task data in a data part respectively; 4, comparing the destination address of the data frame with the local address of an unmanned helicopter; 5, acquiring sensor data; and 6, after the base station module receives downlink data packets, forwarding the received downlink data packets to the ground station module. The unmanned helicopter relay data link system has the advantages of low communication cost, high transmission efficiency, high generality and the like.
Owner:SOUTH CHINA UNIV OF TECH

Dual-redundancy autonomous flight control system for micro-miniature unmanned helicopters

The invention discloses a dual-redundancy autonomous flight control system for micro-miniature unmanned helicopters, which comprises an airborne control system and a ground remote control and remote measuring system, wherein the airborne control system acquires the flight data of a helicopter, controls the unmanned helicopter to fly in accordance with scheduled subjects according to a flight control algorithm, and sends the flight data and algorithm results to the ground remote control and remote measuring system through an airborne data transfer radio in the airborne control system; and the ground remote control and remote measuring system receives the data sent by the airborne control system, displays the data through a ground station so as to enable ground experimenters to know the flight and control states of the helicopter, and uploads a control instruction in real time through the ground station so as to adjust and change the flight subjects and control state of the helicopter. According to the invention, the autonomous capacity of small unmanned helicopters can be improved, and the reliability of the system can be increased; and especially, when a flight control computer has failures, the safety of a test platform can be ensured to the maximum extent.
Owner:BEIHANG UNIV

Control method and system of unmanned aerial vehicle group

The invention provides a control method and system of an unmanned aerial vehicle group. The method comprises the following steps that through data collecting equipment of each unmanned aerial vehicle, video images around each unmanned aerial vehicle are obtained, and the topological structure of the unmanned aerial vehicle group and environment point cloud distribution are obtained; according to the topological structure and flying missions, the flying path of each unmanned aerial vehicle is planned; through sensors, flying data of each unmanned aerial vehicle and the distance between adjacent unmanned aerial vehicles are obtained; and according to the flying paths, environment point cloud distribution, the flying data and the distance between adjacent unmanned aerial vehicles, a global map for flying of each unmanned aerial vehicle of the unmanned aerial vehicle group is established, and flying of the unmanned aerial vehicle group is controlled through the global map. According to the method, by generating the global map, the unmanned aerial vehicles are controlled based on obstacles and the flying data of the unmanned aerial vehicles, accordingly, the cooperative work capacity of the unmanned aerial vehicles is improved, and mission completing efficiency is guaranteed.
Owner:TSINGHUA UNIV
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