141 results about "Vertical velocity" patented technology

Collective control using vertical velocity is provided. A system can include a data processing system comprising one or more processors, coupled with memory. The data processing system can receive, from a sensor, a velocity of an aerial vehicle along a vertical axis of a body of the aerial vehicle. The data processing system can generate a command for collective control of a pitch of blades of a rotor of the aerial vehicle based on a comparison of the velocity with a reference. The data processing system can control, via an actuator, the pitch of the blades of the rotor in accordance with the command.

The invention discloses a ground vehicle inertial positioning enhancement method considering motion constraints. The method comprises the following steps: carrying out ground vehicle pose recursion calculation based on acceleration and angular velocity measured by a micro-electro-mechanical inertial measurement unit (MEMS-IMU); the method comprises the following steps: training a deep neural network by using data under two driving working conditions of straight running and turning of a vehicle, so that the deep neural network can predict the transverse and vertical speeds of the vehicle in real time according to MEMS-IMU measurement, wheel speed meter measurement and angle sensor measurement, and give the prediction confidence in the form of variance; and the transverse and vertical speeds predicted by the deep neural network, the rotating speed of the rear axle wheel of the vehicle and the rotating angle of the front wheel of the vehicle jointly form motion constraint, and an accumulated error of MEMS-IMU pose calculation is corrected through an error state Kalman filtering algorithm to obtain an accurate vehicle pose. According to the invention, the accumulated positioning error of ground vehicle inertial positioning can be corrected, and the precision of ground vehicle inertial positioning is improved.

The invention discloses an obstacle avoidance method and system for an unmanned aerial vehicle, and the method comprises the steps: collecting the three-dimensional point cloud and image information of a laser radar, binocular vision and a millimeter-wave radar, and obtaining an obstacle comprehensive parameter set; carrying out dimensionless processing on the obstacle avoidance feature vector to obtain an obstacle avoidance feature vector; inputting the obstacle avoidance feature vector into a discrimination model constructed based on a double-membership adaptive fuzzy decision tree, and outputting an obstacle avoidance action type according to an obstacle avoidance rule; and calling a corresponding trajectory generator to calculate the vertical speed, the lateral speed and the course instruction of the target in real time, driving a propulsion motor to complete maneuvering, and when the vertical clearance coefficient, the horizontal clearance coefficient and the distance safety margin all exceed preset exit thresholds again, automatically terminating the obstacle avoidance mode and restoring to the original planned route. According to the invention, the problems of low precision and insufficient stability of real-time obstacle avoidance decision making of the unmanned aerial vehicle in a complex environment are effectively solved.

The embodiment of the invention discloses a carrier integrated navigation method, device and equipment and a medium, and relates to the technical field of intelligent driving navigation, the method comprises the following steps: acquiring wheel speed data of a current epoch output by a wheel speed measurement unit, and acquiring inertia measurement data of the current epoch output by an inertia measurement unit; inputting a non-integrity constraint prediction model to obtain a non-integrity constraint component of the current epoch; and constructing a three-dimensional motion constraint observation value based on the non-integrity constraint component and the wheel speed data, performing measurement updating on a kinematics observation equation of the Kalman filter, obtaining a state estimation result obtained by updating, and outputting a positioning result in the current epoch. According to the method, the lateral and vertical velocity components are dynamically predicted through the non-integrity constraint prediction model, the three-dimensional motion constraint observation value is constructed, and the state estimation of the Kalman filter is optimized, so that the problem of carrier motion constraint performance degradation under a complex motion condition can be effectively relieved, and the integrated navigation precision can be further improved.

The invention relates to the technical field of civil aircraft automatic flight intelligent control, in particular to an intelligent control method and system in the flight process of a civil aircraft, and the method comprises the steps: collecting related data of the civil aircraft in the flight process of historical preset times; determining a vertical speed control stage of the civil aircraft in each historical flight process; each stage in the flight process is re-divided; constructing influence factors of various environments on the vertical speed; constructing a weight factor when the current flight process is predicted in each historical flight process, and predicting the target vertical speed in the current flight process of the civil aircraft; and adaptively adjusting the gain value through the deviation between the predicted target vertical speed and the actual vertical speed. The invention aims to improve the control efficiency and precision of the vertical speed in the flight process of the civil aircraft by analyzing the related data in the flight process of the civil aircraft.

The invention discloses a shock absorber control method and device based on a single sensor, and the method comprises the steps: detecting the vertical acceleration of a vehicle body at the mass center of a whole vehicle, and obtaining the vertical jerk and vertical speed of the vehicle body according to the vertical acceleration; obtaining a vehicle driving speed and a driving mode of vehicle driving, and obtaining an influence factor influencing the vertical speed amplitude according to the vehicle driving speed and the driving mode; according to fusion calculation of the vertical jerk, the influence factor and the vertical speed, whether the damping force needed by the shock absorber is the maximum damping force or the minimum damping force is determined; upper point speeds and lower point speeds of the four shock absorbers are obtained through calculation according to rigid body dynamics, and the speeds of the shock absorbers are obtained by calculating the difference between the upper point speeds and the lower point speeds; according to the shock absorber speed of each shock absorber and the damping force needed by the shock absorber, the control current needed by each shock absorber is obtained so as to control the semi-active shock absorber; only acceleration sensor signals at the mass center of the whole vehicle are used for controlling the semi-active suspension, the suspension control effect is guaranteed, meanwhile, the system installation and arrangement difficulty is lowered, and the system cost is reduced.

The invention discloses a scraper conveyor conveying capacity calculation method and a scraper conveyor conveying capacity testing device, and relates to the technical field of coal mine conveying system optimization. Vertical speed distribution data of materials in a conveying groove are collected, and vertical speed distribution characteristics of different heights of a material layer in a scraper conveyor are obtained; dividing the cross section of the conveying groove into a plurality of speed layers according to the speed distribution characteristics, and setting a speed coefficient for each layer; and measuring and recording the material cross sectional area corresponding to each speed layer. According to the method, vertical speed distribution data of materials in a conveying groove are collected, speed characteristics of different height layers are recognized, speed layers are divided, speed coefficients are set, the cross sectional area of each layer is measured in combination with an image recognition or three-dimensional modeling technology, a correction calculation model is constructed, and the actual situation that the internal speed distribution of the materials is not uniform is considered; the idealized hypothesis that materials are regarded as overall uniform-speed motion in a traditional method is broken through, and therefore the accuracy of conveying capacity calculation is remarkably improved.

The invention discloses a rocket sublevel active rotor pneumatic deceleration recovery system and a control method, and aims to solve the problems of low recovery precision, large fuel consumption, large landing impact and the like. The recovery process is divided into five stages of reentry, rotor wing unfolding, main pneumatic deceleration, accurate approaching and soft landing. Fine adjustment of the descending speed and the horizontal position is achieved through cooperative control of aerodynamic resistance of the body and the rotor wing system. And a multi-source sensor and a trajectory tracking algorithm are fused, so that stable soft landing at the sub-level zero horizontal speed and the minimum vertical speed is finally ensured. According to the invention, the recovery precision is obviously improved, the fuel consumption is reduced and the landing impact is reduced.

The invention discloses an attitude control method, system, equipment and medium for an aircraft model full-aircraft wind tunnel test based on incremental nonlinear dynamic inverse, and the control method comprises the steps: building a nonlinear dynamic system according to an aircraft physical model of a wind tunnel test platform, model parameters and CFD pneumatic simulation data, the aircraft height, the vertical speed, the pitch angle and the pitch angle speed are in a system state, and the aircraft height is output of the system; a pitch angle in the system is used as an intermediate variable, the structure of the nonlinear dynamic system is simplified by ignoring a secondary item, and the processed nonlinear dynamic system is obtained; designing an INDI control algorithm, enabling the incremental system to be closed-loop, converting the incremental system into an error tracking system, configuring a pole of the error tracking system, and realizing trajectory tracking of the flight height; the system, the equipment and the medium are used for implementing the method. According to the invention, the control precision and robustness of the aircraft in a complex environment are effectively improved.

The invention discloses an automatic landing control method for a large fixed-wing unmanned aerial vehicle. The landing stage of the unmanned aerial vehicle is divided into an approach flat flight stage, an approach glide stage, a first landing leveling stage, a second landing leveling stage and a landing running stage. In the approaching level flight stage, the unmanned aerial vehicle is controlled to keep the target level flight speed, the target approaching level flight height, the lateral offset distance and the track angle aligned and track the runway extension line; in the approaching gliding stage, the unmanned aerial vehicle is controlled to keep the target gliding speed and the target gliding angle; in the first stage of landing leveling, the unmanned aerial vehicle is controlled to keep the target vertical speed and airspeed; in the second stage of landing leveling, the unmanned aerial vehicle is controlled to keep the target vertical speed and the air speed; in the landing and running stage, the speed of the unmanned aerial vehicle is controlled to be reduced to 0, and meanwhile the unmanned aerial vehicle is controlled to keep the target side offset distance and the course angle on the runway center line. Automatic landing of the unmanned aerial vehicle can be accurately controlled, and the robustness and safety of automatic landing of the unmanned aerial vehicle are greatly improved.

The invention discloses an ocean vertical buoyancy flux parameterization method and device based on radiation gathering and peak generation, terminal equipment and a storage medium. The method comprises the steps that grid point parameters are obtained through an ocean simulation system, the vertical speed and buoyancy are filtered, corresponding sub-mesoscale components are extracted, and the actual vertical buoyancy flux is calculated; determining a target empirical coefficient through iterative optimization, including calculating a horizontal divergence, a horizontal buoyancy gradient and a depth correlation value, and calculating a theoretical vertical buoyancy flux; when the correlation between the actual vertical buoyancy flux and the theoretical vertical buoyancy flux is greater than a preset correlation threshold, determining a target empirical coefficient, otherwise, updating the empirical coefficient and recalculating; and according to the theoretical vertical buoyancy flux corresponding to the target empirical coefficient, performing sub-mesoscale sub-grid parameterization representation. By implementing the method, the problem that traditional vertical buoyancy flux parameterization is based on a single mixed layer oblique pressure unstable process is solved, and the depicting capability of the ocean complex power process is improved.

The invention discloses an aircraft control method based on barometric altitude compensation and attitude calculation of dual-sensor fusion, and the method comprises the steps: carrying out the temperature compensation and attitude calculation through collecting the data of a barometric sensor and an inertial measurement unit, and obtaining an original altitude and an Euler angle; processing the original height based on an alpha-beta filter to obtain an air pressure estimation height, and calculating an inertial navigation height and a vertical speed through attitude conversion integral; a self-adaptive complementary filtering strategy is adopted, the fusion weight is dynamically adjusted according to the air pressure estimation height variance, the high-frequency inertial data and the low-frequency air pressure data are fused, and accurate fusion height and vertical speed are output; finally, constructing a cascade controller, and calculating a target vertical speed instruction by an outer ring according to the expected height deviation; the inner ring generates an actuator signal based on the deviation to drive a motor; height stable control is achieved, so that drifting is effectively restrained, the precision and the response speed are improved, and reliable height control of the aircraft under vibration or air pressure changes is achieved.

The invention provides a downburst maximum horizontal wind speed diagnosis method and system. The method comprises the steps that the vertical speed and the jet radius of downburst vertical jet airflow in a high-voltage transmission corridor area are obtained; constructing a downburst impingement jet model based on the Bernoulli principle, and obtaining a static pressure difference parameter; establishing a momentum equation based on a momentum conservation law and the static pressure difference parameter; a mass conservation equation is established based on the jet radius and the mass conservation law, and the horizontal flow thickness is obtained; obtaining a diagnosis model formula of the maximum horizontal wind speed according to the horizontal flow thickness and the momentum equation; and determining an efficiency coefficient according to the turbulence energy loss, correcting the diagnosis model formula based on the efficiency coefficient, and obtaining a corrected diagnosis formula of the maximum horizontal wind speed, thereby realizing accurate estimation of the downburst maximum horizontal wind speed, and providing key dynamic support for disaster prevention and reduction of power grid facilities.

This control system of a saddle-riding-type vehicle comprises: a first detection part that detects speed in a vehicle vertical direction and angular velocity in a pitch direction generated in a vehicle body of the saddle-riding-type vehicle; a second detection part that detects a state change of a front suspension mechanism for supporting a front wheel of the saddle-riding-type vehicle; and a control part that controls the saddle-riding-type vehicle on the basis of detection results of the first detection part and the second detection part.

The vertical speed control device for the aircraft test bench comprises an oil tank, a hydraulic cylinder and a hydraulic pump, the hydraulic cylinder is divided into a rod cavity and a rodless cavity by a piston, a piston rod of the hydraulic cylinder is connected with an aircraft tire, and the vertical speed control device further comprises a hydraulic energy accumulator, a first pilot electromagnetic valve, a first cartridge valve, a second pilot electromagnetic valve, a second cartridge valve and an electromagnetic reversing valve, the hydraulic energy accumulator is connected with the hydraulic pump and is arranged on a hydraulic oil circuit between the hydraulic pump and the hydraulic cylinder; control interfaces of the first pilot electromagnetic valve and the second pilot electromagnetic valve are respectively communicated with pressure oil of the hydraulic pump, the first cartridge valve is connected with the first pilot electromagnetic valve, the second cartridge valve is connected with the second pilot electromagnetic valve, the first cartridge valve and the second cartridge valve are respectively communicated with the rodless cavity of the hydraulic cylinder through hydraulic pipelines, and the electromagnetic reversing valve is provided with a main oil inlet P, a main oil return port T and two working oil ports, and the vertical speed control device can simulate the aircraft to provide a precise and adjustable vertical impact speed loading.

Embodiments of the present application provide a method and device for accompanying flight control of a UAV, a manned aircraft and a storage medium. The method comprises: determining accompanying flight positions of at least one UAV in response to a position locking instruction of the at least one UAV; receiving a flight control signal for the manned aircraft, converting the flight control signal to obtain a control signal for the UAV; performing corresponding flight control on the manned aircraft in response to the flight control signal, and performing corresponding control on the UAV in response to the control signal, so that each UAV located at each accompanying flight position performs accompanying flight control on the manned aircraft. Based on the conversion between the flight control signal of the manned aircraft and the control signal of the UAV, the manned aircraft and the UAV have corresponding instantaneous forward speed, corresponding instantaneous translation speed and corresponding instantaneous vertical speed, so that the UAV can keep synchronous relative static with the manned aircraft, and the accompanying flight control of the UAV on the manned aircraft is realized.

A method of controlling an aircraft includes receiving a pilot input command and determining which one of a plurality of aircraft flight parameters to hold constant. The aircraft flight parameters include an altitude of the aircraft, a vertical speed of the aircraft, and a flight path angle of the aircraft. The determination of which one of a plurality of aircraft flight parameters to hold constant is based on both a speed of the aircraft and the determination of whether the pilot input command is commanding an ascent or descent of the aircraft. The method of controlling ascent of an aircraft includes controlling the aircraft based on the pilot input command while holding the determined aircraft flight parameter constant.

Aircraft vertical speed control methods, systems, and storage media are disclosed. The aircraft vertical speed control method includes determining a vertical speed usable range for an aircraft, displaying an indication of the vertical speed usable range on a display, receiving a vertical speed target value selected by a pilot, and controlling a vertical speed of the aircraft based on the vertical speed usable range and the vertical speed target value to avoid triggering a speed protection.

The invention discloses a leg identification and vertical speed stable switching correction method, and belongs to the technical field of aerospace flight control. The method comprises the following steps of: firstly, judging a current flight segment of an airplane and a flight segment switching opportunity in real time by integrating multiple criteria such as on-way projection, semi-plane, flight path angle consistency and a remaining time threshold; then, the vertical speed of the target is dynamically calculated based on the real-time height difference and the remaining flight time, amplitude limiting and rate smoothing are conducted on the vertical speed of the target, and continuous transition of the vertical speed in the flight segment switching process is achieved; and finally, dynamically correcting the vertical speed of the target according to the real-time flight state, so that the aircraft accurately meets the height requirement at the target waypoint. The method has the advantages of being high in leg recognition precision, stable in vertical speed switching, high in dynamic correction capacity, simple in algorithm, easy to implement and the like, and the flight safety and comfort can be effectively improved.

The application provides a TAWS running stage judgment method suitable for eVTOL, belongs to the technical field of electric vertical take-off and landing aircraft, and specifically comprises the following steps: calculating elevation data ASL above sea level and elevation data AGL above ground by combining a barometric height value, a GNSS elevation value, radio altitude, and a runway / terrain / obstacle database; calculating the vertical speed of an aircraft climbing rate by fusing an inertial navigation system IRS, an atmospheric data computer ADC and a global satellite navigation system GNSS; comprehensively judging the stage of the current aircraft by referring to a flight stage state machine, improving the multi-scene availability of the algorithm, containing data loss, data calculation offset and the like, increasing the redundancy of data, and thus improving the operation logic confidence of the equipment.

A wind flow sensing system is provided for determining wind flow at a set of different elevations above a terrain. The wind flow sensing system includes: an input interface configured to receive a set of measurements of radial velocity at in-situ line points above the terrain for each elevation; and a processor configured to estimate the velocity field for each elevation based on data assimilation of the velocity field above an approximation of the shape of the terrain using a set of one or more convex shapes to fit the measurements of the radial velocity, and to estimate the horizontal velocity at each elevation as the horizontal projection of the corresponding radial velocity corrected by the corresponding horizontal derivative of the vertical velocity of the estimated velocity field. The wind flow sensing system further includes an output interface configured to render the estimated horizontal velocity at each elevation.

The application provides a kind of unmanned aerial vehicle endurance enhancement control system and method based on dual energy collaborative power generation, belongs to unmanned aerial vehicle endurance enhancement control technical field;To solve the technical problems of poor endurance, low energy utilization efficiency, poor scene adaptability and complex endurance control algorithm of existing unmanned aerial vehicle, each sensor arranged on unmanned aerial vehicle real-time acquisition environment wind speed, solar irradiance, vertical speed, horizontal speed, attitude angle, each motor speed and battery state parameter of unmanned aerial vehicle flight;According to the data collected, based on the wind power generation power model, solar power generation power model and flight power consumption grading model built in energy management module, the current total wind power generation power, solar power generation power and flight total power consumption are calculated respectively;Based on the energy self-sustaining coefficient decision model built in energy management module, the energy self-sustaining coefficient is calculated, and its belonging interval is judged;The application is applied to unmanned aerial vehicle strong endurance operation site.

The present invention relates to a method for depth migration while drilling based on a horizontal well trajectory, belonging to the field of seismic velocity modeling and imaging technology. The specific steps are as follows: determining two control points on the well trajectory, namely the first control point and the second control point; loading the well information of the first control point and the second control point; calculating the well-seismic difference at each control point and obtaining the anisotropy parameter δ; interpolating and extrapolating the δ values ​​of the first control point and the second control point to the entire target area; setting the anisotropy parameter ε; and calculating the vertical velocity V. an ; Update the model depth according to the "travel time remains unchanged" principle; Generate anisotropy field; Input δ, ε and V into GeoEast software an Perform anisotropic prestack depth migration processing and check whether the anisotropic prestack depth migration profile meets the requirements of horizontal well drilling. This solves the problem of low imaging accuracy at the boundaries of the seismic work area and significantly improves the well-seismic consistency rate at the boundaries.

The present invention provides a simulation model and simulation method for a superconducting electric suspension system damper, wherein the simulation model includes: a simulation circuit and a damping coil equivalent load; the simulation circuit includes: a damping coil module, a control module and an inverter circuit; wherein the damping coil module is used to provide a vertical speed to the control module; the vertical speed represents the speed of the damper in the vertical direction; the control module is used to generate a first switching signal according to the vertical speed to control the inverter circuit; the inverter circuit is used to output a corresponding input current to the damping coil module and the damping coil equivalent load according to the first switching signal; the damping coil module is used to generate a damping force according to the input current; the damping coil equivalent load is used to simulate the electrical characteristics of the damper according to the input current. The above-mentioned simulation model can control the current flowing through the damping coil module in combination with relevant control strategies, and provide support for the design of active dampers.

A method (200) for assessing the condition of a road (120) comprises steps of periodically acquiring (205) vertical velocity data on board a vehicle (105) traveling on the road (120); generating (215) several overlapping data series (405-450) of predetermined length from the acquired data; recreating (220) each data series (405-450) using a capsule autoencoder (138); determining (225) a mean absolute error between each data series (405-450) and its corresponding newly created data series (405-450); and detecting (230) an anomaly on the road (120) when the mean absolute error exceeds a predetermined threshold.

The embodiment of the invention relates to the technical field of vehicles, and discloses a pit identification method and device, and the method comprises the steps: obtaining the vertical speed information of the sprung mass and the vertical speed information of the unsprung mass of each wheel of a vehicle; determining speed characteristic information of each wheel according to the vertical speed information of the sprung mass and the vertical speed information of the unsprung mass of each wheel; and according to the speed characteristic information of each wheel, determining a pit identification result of the vehicle. By applying the technical scheme of the invention, the problem of poor accuracy of pit identification in the prior art can be solved.

This invention discloses a method, system, electronic device, and medium for controlling the roof and ground of a vehicle's semi-active suspension. The method includes: determining the roof control damping force based on the sprung vertical velocity, the unsprung vertical velocity, and the roof damping coefficient; determining the ground control damping force based on the sprung vertical velocity, the unsprung vertical velocity, and the ground damping coefficient; determining the road roughness based on the vehicle's pitch angular velocity, vehicle roll angular velocity, unsprung vertical acceleration, and unsprung vertical velocity; determining the shock absorber operating mode based on the driving mode; determining the roof and ground distribution coefficient based on the road roughness and the shock absorber operating mode; determining the target damping force based on the roof control damping force, the ground control damping force, and the roof and ground distribution coefficient; and then controlling the vehicle's vibration based on the target damping force. This invention improves the accuracy of semi-active suspension control, thereby improving vehicle ride comfort, handling stability, and driving safety, and can be applied to the field of vehicle control technology.

A shockload limiting system for limiting a shockload on a hoisting device during an installation procedure of an offshore load, the hoisting device comprising a hoisting device tip and a hoisting device line configured to be connected with a free end thereof to the load for hoisting the load, the shockload limiting system comprising: a motion compensation system for compensating vertical motions between the load and the hoisting device tip, the motion compensation system providing a first resilient connection between the hoisting device and the load, wherein the motion compensation system comprises a pre-tension device configured to provide a relatively low first stiffness to the first resilient connection; a sensor system configured to acquire first parameter data indicative of a vertical acceleration and / or vertical velocity of the load, the sensor system being configured to be operatively coupled to a control system configured for comparing the first parameter data to a predetermined first threshold value, and for generating a control command when an acquired first parameter value exceeds the predetermined first threshold value, wherein the shockload limiting system is configured to control the pre-tension device based on the control command.

This invention discloses a method, apparatus, terminal device, and storage medium for parameterizing marine vertical buoyancy flux based on convergence and frontogenesis. The method includes: acquiring grid point parameters through a marine simulation system; filtering vertical velocity and buoyancy to extract corresponding sub-mesoscale components and calculating the actual vertical buoyancy flux; determining target empirical coefficients through iterative optimization, including calculating horizontal divergence, horizontal buoyancy gradient, and depth correlation values, and calculating the theoretical vertical buoyancy flux; determining the target empirical coefficients when the correlation between the actual and theoretical vertical buoyancy fluxes is greater than a preset correlation threshold; otherwise, updating the empirical coefficients and recalculating; and performing sub-mesoscale sub-grid parameterization based on the theoretical vertical buoyancy flux corresponding to the target empirical coefficients. By implementing this invention, the problem of traditional vertical buoyancy flux parameterization based on a single mixed-layer baroclinic instability process is solved, improving the ability to characterize complex marine dynamic processes.