1079 results about "Cruise" patented technology

The invention belongs to the technical field of road deformation monitoring, and discloses a road slope deformation monitoring system and method, and the system comprises a fixed point monitoring mechanism which monitors the displacement, strain, underground water level and inclination parameters of a slope in real time at key points and key positions of the road slope; the route planning module plans the flight route of the unmanned aerial vehicle; the cruise monitoring mechanism is used for monitoring the side slope in all directions; the weather data acquisition module is used for acquiring local weather data; the three-dimensional laser scanner data analysis module is used for identifying abnormal conditions on the side slope; the image analysis module is used for identifying abnormal conditions on the slope; the comprehensive evaluation module is used for comprehensively evaluating the stability of the slope by utilizing a comprehensive evaluation model; and the alarm module comprises an alarm. According to the invention, the fixed-point monitoring mechanism and the cruise monitoring mechanism are combined to monitor the slope in all directions, the comprehensive evaluation module fuses data of various monitoring means, and the comprehensive evaluation model is utilized to comprehensively evaluate the slope stability.

The invention relates to the technical field of vehicle cruise control, and discloses a neural network driven vehicle adaptive cruise control method. Real-time driving data are collected through a multi-modal sensor, spatial-temporal feature fusion is carried out through a multi-layer convolutional neural network to generate dynamic environment sensing data, and a pre-trained adaptive decision model is input to obtain driving strategy parameters. And constructing a mixed integer programming model on the basis, globally planning a cruise path by adopting an incremental branch and bound algorithm integrating a dynamic relaxation threshold and a heuristic pruning strategy, and outputting optimal cruise trajectory data. A hierarchical control framework comprising a planning layer, a coordination layer and an execution layer is constructed, the planning layer generates a global trajectory sequence, the coordination layer dynamically corrects a local trajectory, and the execution layer achieves vehicle longitudinal acceleration and transverse steering angle tracking based on a robust sliding mode control algorithm and outputs a vehicle control instruction to complete self-adaptive cruise control. And the cruise control performance, safety and stability of the vehicle in a complex environment are improved.

The aircraft includes a fuselage, a front wing and a rear wing provided to extend laterally from the fuselage for generating lift during cruise, a boom extending in a front-back direction supported by these wings to be spaced apart from the fuselage, a VTOL rotor supported on the boom and having one or more blades for generating thrust in a vertical direction during take-off and landing, a cooling system for cooling the VTOL rotor by using a radiator arranged within the boom, and an airflow guide structure provided in a part of the boom for guiding airflow generated by rotation of the blades to the radiator, and having an inlet provided on a side that faces toward a rotational direction of the blades relative to a rotational axis of the VTOL rotor, of a surface of the boom positioned below a plane of rotation of the blades.

The invention provides a three-dimensional real scene reconstruction method based on autonomous cruise of a robot and related equipment, and the method comprises the steps: carrying out the primary collection of the data of an indoor environment through a plurality of sensors carried on the robot, and carrying out the time synchronization and calibration processing of the collected data, and obtaining a first multi-modal data set; according to the first multi-modal data set, an environment map is constructed, path planning is carried out, and a robot inspection path is obtained; controlling the robot to autonomously cruise in the indoor environment according to the inspection path, and performing secondary data acquisition on the indoor environment through multiple sensors in the cruising process to obtain a second multi-modal data set; and according to the second multi-modal data set, performing three-dimensional scene representation and rendering processing at the cloud through a 3D Gaussian splashing technology to obtain an indoor three-dimensional real scene model. According to the invention, high-precision three-dimensional reconstruction of the indoor environment is realized through autonomous cruise of the robot and by using an efficient 3D Gaussian splashing technology, and the data acquisition efficiency and the reconstruction precision are improved.

A method for selecting a cruise phase route for an aircraft is presented. The method comprises receiving sequences of multivariate flight data from at least one prior flight and receiving a set of candidate cruise phase routes. Upcoming atmospheric conditions including at least upcoming tail winds are received for each of the set of candidate cruise phase routes. For each candidate cruise phase route, a sequence of fuel burn quantities is predicted based on the sequences of multivariate flight data and the upcoming atmospheric data. The fuel burn quantities are summed over the candidate cruise phase route to obtain an estimated fuel burn. A preferred candidate cruise phase route having a lowest estimated fuel burn is indicated.

The invention discloses a decision-making method and decision-making system for low-power autonomous landing based on a vertical take-off and landing unmanned aerial vehicle, and relates to the technical field of unmanned aerial vehicle landing decision-making. Comprising the following steps: acquiring topographic point cloud data, establishing a neural network model, and extracting and predicting topographic feature parameters including obstacle density and maximum height; calculating an obstruction influence index and a vertical energy consumption influence index in combination with cruise area point cloud data and real-time environment parameters including environment temperature, wind speed and the like, and correcting a return electric quantity threshold value; dynamically correcting the return electric quantity threshold value by further combining the health parameters of the battery, including storage time, cycle charging times and environment temperature; and comparing the dynamic homeward voyage electric quantity threshold with the real-time electric quantity, and generating a landing or homeward voyage decision instruction. The horizontal flight and vertical take-off and landing energy consumption of the unmanned aerial vehicle under different topographic conditions is comprehensively considered, and correction is performed in combination with the battery performance, so that the electric quantity management strategy of the unmanned aerial vehicle is more intelligent and precise.

A flying vehicle with a flight part connected to a plurality of rotor wing parts and a main wing, wherein the main wing is configured such that the lift produced by the main wing during landing is reduced compared to the lift produced by the main wing during cruising. Furthermore, the main wing is fixed at a forward tilt with respect to the flight part. Furthermore, the rotor wing is connected at an angle that produces propulsion and lift during cruise. Furthermore, the rotor blades are connected at an angle that generates propulsive force during cruise.

The invention relates to an ADS-B (Automatic Dependent Surveillance-Broadcast)-based civil aviation flight pre-arrival data calculation method, which integrates ADS-B data, meteorological satellite data, airport runway state monitoring data and air traffic control real-time instruction data through multi-source data fusion, and dynamically adjusts the weight of each data source according to the flight stage of a flight. A dynamic adjustment time synchronization interval mechanism is adopted, a short synchronization interval is set in the take-off stage and the landing stage so as to capture rapidly-changed data, and the synchronization interval is prolonged in the cruise stage so as to optimize computing resources. Meanwhile, the deep learning model based on the Transform architecture utilizes a multi-head self-attention mechanism and position coding to enhance the feature capture capability, and reduces the calculation burden through a sparse activation strategy. The system is provided with a real-time monitoring layer, log records and visual analysis tools are integrated, and interpretability and traceability of the model are ensured. An efficient aviation management decision is supported, and the efficiency and safety of overall aviation traffic management are improved.

A vertical take-off or landing (VTOL) aircraft is disclosed that includes a propulsion system comprising at least four tilting propulsion assemblies and two or more lifting propulsion assemblies. Actuation of the tilting mechanisms can convert the aircraft from a hover configuration, in which all propellers produce thrust generally upward to counteract the aircraft's weight, to a forward flight configuration, in which the four or more tilting propellers produce thrust generally in a forward direction parallel to the fuselage to overcome drag in cruise flight and the lifting propellers produce no thrust or a level of thrust generally less than that required in the hover configuration.

The invention belongs to the technical field of satellite positioning, and discloses an unmanned aerial vehicle positioning cruise method and system based on satellite-based enhancement, and the method comprises the steps: setting an unmanned aerial vehicle cruise region range, a high-coverage cruise route and flight time; and checking software and hardware equipment of the unmanned aerial vehicle, taking off from a safe area, and starting automatic cruise. Observation data, broadcast ephemeris and Beidou B2b and Galileo HAS products are obtained through an unmanned aerial vehicle receiver. Carrying out decoding and correction number matching on the B2b and the HAS messages; correcting the satellite orbit, the clock error and the code and phase deviation according to the correction number provided by the B2b and the HAS; performing gross error elimination, clock jump repair and cycle slip detection on the data; and performing parameter estimation by using Kalman filtering to obtain high-precision position coordinates. If an emergency occurs, an operator can send a return instruction to the unmanned aerial vehicle through a Beidou short message. And after the cruise task is finished or a return instruction is received, the unmanned aerial vehicle completes safe landing at the planned return point.

The invention relates to the field of unmanned ships, and discloses an intelligent cruise and collaborative operation method for a multifunctional unmanned ship, which comprises the following steps: debugging preparation: selecting a functional module according to an operation demand, installing the functional module on an unmanned ship modular platform through a standardized interface, completing initialization and establishing a data transmission link with a cloud; and cruise planning: acquiring environmental data in real time, planning an initial cruise path by using a self-adaptive algorithm in combination with position information acquired by Beidou or GPS navigation in real time, and monitoring environmental changes in real time, dynamically optimizing the path and adjusting a route and a speed to cover a task area during navigation. By collecting environmental data in real time and planning and optimizing a cruise path by using an adaptive algorithm, the unmanned ship can accurately cover a task area, does not depend on a fixed route any more, dynamically adjusts the route and speed according to the actual situation of a water area, quickly reaches a key monitoring point, and reduces unnecessary sailing time.

The invention is suitable for the technical field of unmanned aerial vehicles, and provides an unmanned aerial vehicle cruise detection method and device, electronic equipment and a storage medium, and the method comprises the steps: carrying out the global path planning through employing an improved fast extension random tree algorithm; when a conflict risk is detected, a dynamic reward function is designed with returning to a global flight path after obstacle avoidance as a target, and a deep reinforcement learning model is adopted to realize control of actions of the unmanned aerial vehicle; and controlling the unmanned aerial vehicle to fly along the global aircraft path and the local obstacle avoidance path, and executing a target detection task based on the target detection model in the flight process until the task is completed and / or a target position is reached. According to the invention, global path planning is carried out by adopting the improved fast extended random tree algorithm, a local obstacle avoidance path is obtained in combination with the deep reinforcement learning model when facing an emergent obstacle, the autonomous cruising ability of the unmanned aerial vehicle is improved, real-time target detection is realized based on the target detection model in the flight process, and the task execution efficiency of the unmanned aerial vehicle is improved.

The invention discloses an oblique photography method for real-time target identification and route generation of an unmanned aerial vehicle, and relates to the technical field of identification and tracking, and the method comprises the following steps: unmanned aerial vehicle high-altitude cruise, unmanned aerial vehicle target identification and tracking, unmanned aerial vehicle target positioning, route flight range adaptive generation, and low-altitude unmanned aerial vehicle automatic cruise. According to the invention, the unmanned aerial vehicle can have the capabilities of cruising, identifying and tracking the target in a large-range and long-distance scene, on-site investigation of a worker is not needed, the situation that the unmanned aerial vehicle searches the moving target in a large-range cruising manner and moves the moving target for a long time is effectively reduced, time and labor are saved, and the unmanned aerial vehicle is used for identifying and tracking the moving target.

The invention discloses an aircraft landing guiding method, a display system and an aircraft, and relates to the technical field of flight control. The aircraft landing guiding method comprises the steps that under the condition that it is detected that an aircraft meets tilting guiding conditions, a flight boundary indication image of the aircraft is generated, and the flight boundary indication image is used for reflecting a tilting transition flight corridor when the aircraft safely flies to a reference hovering point from a current air position; the aircraft comprises an aircraft body and a tilt rotor assembly, the tilt rotor assembly is arranged on the aircraft body and can rotate between a cruise position and a vertical take-off and landing position, and the reference hovering point is located above a landing destination; and displaying the flight boundary indication image on a display system of the aircraft. According to the invention, a pilot can control the aircraft in real time according to the flight boundary indication image, and the aircraft can be safely transited from a cruise flight stage to a vertical landing stage.

The invention relates to the technical field of unmanned aerial vehicle path planning methods, in particular to an unmanned aerial vehicle path planning method based on an improved leapfrog algorithm. According to the method, dynamic weight adjustment information is obtained by carrying out dynamic adaptation matching analysis on flight stage information and environment threat information, a flight stage weight mapping matrix is established, and fitness function weights are dynamically adjusted according to core targets in take-off, cruise and landing stages; weight correction is carried out in combination with environmental data such as obstacle grid density and a meteorological threat coefficient, so that the algorithm focuses on core constraints in the current stage, and target conflicts caused by global unified weight are avoided; according to the method, environmental threats are sensed in real time by means of multi-sensor fusion, when abnormal states such as over-high obstacle density and strong wind are detected, an algorithm is triggered to be suddenly stopped and restarted, a population is reconstructed according to the current position, threat avoidance weight is enhanced, the defect that an existing mechanism can be updated only after the current iteration period is completed is overcome, and the method is suitable for large-scale popularization and application. And the response time to an abnormal environment is shortened.

The invention provides an unmanned aerial vehicle visual inspection and AIS data association method and device, and the method comprises the steps: carrying out the target detection of an image photographed by an airborne image sensor on an unmanned aerial vehicle in maritime cruise, obtaining the azimuth features of a ship in the image, and enabling the azimuth features to comprise the position information and the course information; according to a ship automatic identification system installed on each ship, acquiring AIS data of each ship; and matching the azimuth features of the ships in the image with the azimuth features in the AIS data of each ship, obtaining the AIS data corresponding to the image, and associating the image with the AIS data corresponding to the image. Visual inspection and AIS data association are realized, course information is additionally introduced on the basis of position feature matching, and the accuracy of visual inspection and AIS data association is improved.

The invention discloses an aircraft landing guiding method, a display system and an aircraft, and relates to the technical field of flight control. The aircraft landing guiding method comprises the steps that under the condition that it is detected that an aircraft meets tilting guiding conditions, a flight boundary indication image of the aircraft is generated, and the flight boundary indication image is used for reflecting a tilting transition flight corridor when the aircraft safely flies to a reference hovering point from a current air position; the aircraft comprises an aircraft body and a tilt rotor assembly, the tilt rotor assembly is arranged on the aircraft body and can rotate between a cruise position and a vertical take-off and landing position, and the reference hovering point is located above a landing destination; and displaying the flight boundary indication image on a display system of the aircraft. According to the invention, a pilot can control the aircraft in real time according to the flight boundary indication image, and the aircraft can be safely transited from a cruise flight stage to a vertical landing stage.

The invention relates to the technical field of flight control, in particular to an unmanned aerial vehicle single-shot failure control method, system and device and a medium, and the method comprises the steps: single-shot failure control in the take-off stage of an unmanned aerial vehicle, namely, taking-off is interrupted, an engine on the other side is closed, a brake is used, and a rudder and a front wheel are used for carrying out deviation correction control on the unmanned aerial vehicle; single-engine failure control in the air cruise stage of the unmanned aerial vehicle: compensating additional yaw moment brought by a single-side engine through a transverse heading automatic compensation controller and a flight control system together to enable the aircraft to reach a balanced state, and adjusting the heading of the unmanned aerial vehicle to a designed emergency course to complete recovery; the single-shot failure control in the landing stage of the unmanned aerial vehicle comprises the following steps of: keeping the balance of the unmanned aerial vehicle by utilizing a transverse heading automatic compensation controller before landing, immediately closing an engine on the other side after touching the ground, and adopting a rudder and a front wheel to rectify deviation to control and track a ground route. The flight safety of the unmanned aerial vehicle is guaranteed, and the single-shot failure emergency processing capacity of the unmanned aerial vehicle is improved.

The invention relates to a multi-task-point cruise path planning method and device for an unmanned aerial vehicle. The method comprises the following steps: acquiring flight data of the unmanned aerial vehicle in multiple flight stages; the flight data comprises corner data when the flight stage is a corner stage; constructing a flight energy consumption model according to the undirected graph, the flight data and the rotation angle data; the energy consumption of each task point in the cruising process of the unmanned aerial vehicle is obtained; performing iterative optimization on the energy consumption of the plurality of task points based on a wild dog optimization algorithm to obtain a path planning result, and controlling the unmanned aerial vehicle to fly according to the path planning result; energy consumption of different flight stages is quantified by constructing a flight energy consumption model, including energy consumption of rotation angle data in a rotation angle stage, so that the complex environment adaptability is improved, iterative optimization is performed on a path in combination with a wild dog optimization algorithm, the problems of inaccurate energy consumption modeling and easy falling into local optimum are solved, and the energy consumption modeling efficiency is improved. The method has the advantages that the energy consumption optimization efficiency and accuracy of path planning are improved, and the local optimum problem is avoided.

A method of operating an aircraft gas turbine engine including: a core including a turbine, a compressor, a combustor, and a core shaft connecting the turbine to the compressor; a fan upstream of the core; a fan shaft; at least one bearing supporting the fan shaft; at least one auxiliary system using some of the fuel; an oil loop system to supply oil to the bearing; and a heat exchange system including: a primary fuel-oil heat exchanger through which oil in the oil loop system and substantially all the fuel flow to transfer heat between the oil and the fuel; and a secondary fuel-oil heat exchanger through which oil in the oil loop system and a portion of the fuel flow, to transfer heat between the oil and the fuel; and a fuel pump; wherein, under cruise conditions, fuel temperature on leaving the second heat exchanger is 120° C. to 200° C.

The invention discloses an automatic control method of a four-power-source tiltable aircraft, relates to the technical field of flight control of tiltable aircrafts, is realized based on a PX4 flight control system, and is suitable for a tiltable aircraft provided with four independent tiltable power sources and corresponding tilting execution mechanisms. According to the method, through configuration of a tilting angle control module, a power distribution module and a full-stage flight logic scheduling module, full-stage automatic control of vertical take-off and landing, suspension, horizontal take-off, fixed-point horizontal flight, automatic cruise, one-key return flight, fixed-angle flight, power source fault handling and the like is achieved. Smooth transition of all flight modes is achieved, the stability of the attitude, the height and the position of the tiltable aircraft in different flight stages is maintained, meanwhile, the functions of automatic obstacle avoidance, fault emergency and the like are integrated, flight safety is guaranteed, flight stability and applicability are improved, and the method can be widely applied to various tiltable aircraft operation scenes.

The invention discloses an air-ground collaborative observation unmanned system key target intelligent search method, which comprises the following steps that: an unmanned aerial vehicle carries a positioning module to provide a positioning coordinate, and executes a preset fixed-point cruise task; the unmanned aerial vehicle performs data acquisition on the environment of the cruising area; a height self-adaptive target detection module is adopted to carry out target detection on image data collected by the unmanned aerial vehicle, a rescue target and temporary obstacles generated after a disaster are recognized, coordinate transformation is carried out on the obstacles and target points, and a detection result is mapped to a position under a global coordinate system; transmitting the recognized target point and obstacle coordinates to a ground mechanical dog in real time through a communication module; the ground mechanical dog updates a dynamic cost map according to the received environment information to realize real-time perception of the environment; and the ground mechanical dog performs path planning based on the environment map. According to the method, efficient perception and rapid rescue of the target point can be realized, and the task execution efficiency and the system robustness in the post-disaster complex environment are remarkably improved.

The invention belongs to the field of aircraft design and control, and particularly relates to a control method of a combined type unmanned aerial vehicle based on passive hinge tilting. The composite unmanned aerial vehicle carries a tilting device and a fixed wing, the tilting of the tilting device is controlled by differential speed of motors at the two ends of the tilting device, and vertical take-off and landing and tilting transition of the unmanned aerial vehicle are controlled by adopting a PID control law. The main control board controls the main power motor and provides main power for the vertical take-off and landing stage and the horizontal cruise stage of the unmanned aerial vehicle. The sub-control board controls tilting motors at the two ends of the tilting device and provides power for enabling the tilting device to tilt. When the unmanned aerial vehicle takes off and lands, the tilting device is in a locked state, and after the unmanned aerial vehicle reaches a cruise height, the unmanned aerial vehicle is controlled to fly horizontally through the tilting device to complete a cruise task; and after the cruise is finished, the unmanned aerial vehicle is controlled to enter a hovering state through the tilting device. According to the invention, decoupling of forward flight and pitch angle attitude is realized, multiple purposes are realized, and flight tasks can be completed in a complex environment.

The invention discloses an intelligent driving control method and system for an unmanned ship, and belongs to the field of unmanned driving control. Firstly, the position and speed of the unmanned ship and the positions and speeds of surrounding obstacles are obtained through a sensor and a positioning device, then dynamic path tracking is carried out in combination with global path planning and local path planning, and finally the unmanned ship is driven to sail along an optimized path by controlling the course and an accelerator. Local path planning adopts an improved dynamic window method, and an unmanned ship trajectory prediction evaluation function is modified by introducing a dynamic risk evaluation layer and a rule compliance layer; the dynamic risk evaluation layer is used for designing a collision risk evaluation function to dynamically screen a speed sampling space and rejecting a speed vector conflicting with a predicted trajectory of a moving obstacle; and the rule compliance layer classifies the meeting situation, introduces a rule evaluation function to perform weight correction on the candidate velocity vector, and drives the unmanned ship to generate a course adjustment strategy conforming to the collision avoidance rule. The unmanned ship realizes full-autonomous cruise, high-precision obstacle avoidance and path tracking in a complex marine environment.

The invention discloses an unmanned ship automatic cruise control system and a control method thereof, and particularly relates to the field of unmanned ship automatic cruise, and the unmanned ship automatic cruise control system comprises a cruise area division module, a cruise data acquisition module, a cruise data analysis module and a control module. According to the method, a self-adaptive control system is constructed through a four-dimensional linkage mechanism of the course deviation correction value, the environmental disturbance force, the control efficiency index and the path tracking deviation rate, a water flow and wind power square term modeling and steerage coefficient dynamic conversion mechanism is adopted, the transient disturbance suppression effect is remarkably improved, and the control efficiency is improved. By monitoring the nonlinear relation between the product of the accelerator and the rudder angle and the attitude of the ship body in real time, dynamically constraining the output of the actuator, avoiding attitude instability and ensuring the safety under the four-level sea condition, the system improves the course correction weight at the end point stage and starts waypoint preview and smoothing coefficient adjustment at the long leg based on the conjoint analysis of the deviation ratio threshold and the residual distance, and the ship body attitude is optimized. And the full-voyage tracking precision is optimized.

The invention relates to the technical field of labeling equipment control, in particular to a PLC labeling machine control method and system based on fitting site cruising. The pose time sequence state variable corresponding to the tracking pose change of the industrial vision camera is described on the basis of the pre-integration relativity of the inertia measurement data to the continuous image data, and the ideal cruise pose of the labeling mechanism in cruise attachment relative to the optimal attachment site on the target machined object is obtained; if the PLC labeling machine is incompatible with automatic cruise planning on the special-shaped surface on the control premise of an ideal cruise pose, mapping a cruise mapping distance matrix from labeling to a specified labeling processing area when the ideal cruise pose is reached in a space coordinate domain based on an operation transformation track; a labeling mechanism is controlled according to semi-variance Gaussian model identification solution of the cruise mapping distance matrix; according to the invention, accurate label lamination control can be carried out on the PLC labeling machine based on the lamination site cruise of the special-shaped surface, so that the labeling quality of the PLC labeling machine on the special-shaped surface processed object is improved.

The invention is suitable for the technical field of land area measurement, and particularly relates to a land area measurement method and system for space planning, and the method comprises the steps: obtaining a basic aerial image, and determining a to-be-measured region based on the basic aerial image; the unmanned aerial vehicle is controlled to fly along the cruise measurement path, and real-time depth data and real-time image data are obtained through measurement; a corresponding contrast image is extracted from the basic aerial image according to the real-time image data, and the measurement position of the unmanned aerial vehicle is determined; and extracting corresponding real-time depth data based on the measurement position, constructing a three-dimensional coordinate system according to the real-time depth data, constructing a measurement curved surface of the region to be measured in the three-dimensional coordinate system, and calculating the area of the measurement curved surface of the region to be measured. According to the method, the positions of the sampling points are positioned based on the matching relation between the images, positioning is achieved without depending on a positioning system, the positioning accuracy is greatly improved, the three-dimensional plane is constructed based on the measurement data, and the area measurement accuracy is improved.

The invention discloses a remote electric power cruise unmanned aerial vehicle control system, and relates to the technical field of unmanned aerial vehicle control, and the system comprises the following components: a data collection module, a data transmission and storage module, an intelligent data analysis and prediction module, and a fault early warning and maintenance decision module. By integrating the functions of data acquisition, transmission, intelligent analysis and fault early warning, real-time monitoring and accurate prediction of the operation state of key components of the unmanned aerial vehicle are realized, the system can find and early warn potential faults in time, and unmanned aerial vehicle shutdown or accidents caused by the faults are avoided, so that the efficiency and safety of electric power cruise are remarkably improved, and the safety of electric power cruise is improved. Meanwhile, the system can also automatically adjust the flight state or task scheduling of the unmanned aerial vehicle according to a fault prediction result, thereby ensuring the continuity and accuracy of an electric power inspection task.

The invention belongs to the technical field of numerical simulation and analysis of unmanned aerial vehicles, and relates to a rigid-flexible coupled variable-camber-range deformable wing optimization design method, which comprises the following steps of: obtaining working conditions of an aircraft, determining wing types and basic parameters of wings of the aircraft, and establishing a three-dimensional aerodynamic model of the wings; variable-attack-angle pneumatic simulation is carried out on working conditions of the aircraft in take-off and cruise, optimal camber values and corresponding pneumatic loads of wings under multiple working conditions are determined, and the positions of rotating joints of the deformed wing ribs are adjusted to obtain the deformed wing ribs after primary optimization; dividing the optimization range of the deformed wing rib after primary optimization into a fixed area and an optimizable area, loading an aerodynamic load under the optimal camber value in the optimizable area to perform aerodynamic simulation to obtain a deformed wing rib after secondary optimization, and optimizing the structure; and a deformed wing rib sample is made, performance testing is conducted, and the optimizable area is adjusted till the wing performance meets the preset requirement. The aerodynamic efficiency of the full flight envelope can be improved.

The invention belongs to the field of track planning and intelligent control of a reusable vehicle, and relates to an intelligent track planning method for a cruise section of the reusable vehicle. The method comprises the following steps: constructing a three-degree-of-freedom centroid motion dynamics model of a cruise section vehicle, generating an offline optimal trajectory sample library covering wide working conditions based on a Gaussian pseudo-spectral method, designing a mapping relation between deep neural network learning task parameters and trajectory features, and outputting a high-quality trajectory planning initial value online. The distribution of collocation points is dynamically adjusted in combination with a self-adaptive collocation point method, a nonlinear programming problem is iteratively solved with a high-quality initial value as a starting point, and efficient and accurate optimization of the trajectory is achieved. Simulation results show that the method significantly reduces the sensitivity of online optimization to initial guess, still has fast response ability and high robustness under complex constraint and uncertainty working conditions, effectively improves the autonomous trajectory planning ability of the cruise section of the reusable vehicle, and ensures flight reliability and control precision.