72 results about "Cruise speed" patented technology

The invention relates to a foldable tilting four-rotor aircraft concept scheme design method based on task requirements. According to the method, task demand indexes such as voyage, cruising speed, task load, cruising height and hovering height are used as input, and the total design weight, power device parameters, rotor wing geometric parameters and fuselage and wing parameters of the aircraft are determined in sequence; and performance indexes such as hovering lift limit, level flight speed, climbing performance, practical lift limit, voyage and endurance in a helicopter mode and a fixed wing mode are calculated and analyzed respectively. And performing matching judgment on a performance calculation result and a task requirement, and performing iterative adjustment on key parameters such as a paddle disc load when the task requirement is not met, so as to form a closed-loop concept design process driven by the task requirement. According to the method, the vertical take-off and landing capacity and the fixed wing cruising performance can be systematically considered in the conceptual design stage, and systematicness, repeatability and engineering feasibility of scheme design of the folding type tilting four-rotor aircraft are improved.

The invention discloses a low-altitude flight path planning method based on grid coding, which relates to the technical field of path planning, and is characterized in that on the basis of space and time grid coding, an A * path planning algorithm is improved, a neighbor node range in a classical algorithm is expanded, pruning optimization for removing invalid neighbors is applied to the A * path planning algorithm, and the path planning efficiency is improved. Relatively fast searching and establishment of a smooth grid path meeting the motion constraint become possible; an algorithm for interpolating a track on a grid path at equal time intervals is introduced; comprising the following steps of: thinning and smoothing a grid path; carrying out mathematical modeling on a flight state of the unmanned aerial vehicle; calculating flight segment initial and final speeds and flight segment middle cruising speeds which meet the motion performance constraint of the unmanned aerial vehicle and the consistency between flight segments by a backtracking iteration method; and calculating specific flight path points by speed integration. And a relatively accurate unmanned aerial vehicle flight plan track prediction generation method is provided.

The invention relates to the technical field of robots and automatic control, and discloses a robot dog cruise speed control method based on self-adaptive PID (Proportion Integration Differentiation). According to the method, cross validation is carried out on local control parameters generated by the robot dog through the distributed consensus network, and effectiveness and credibility of the local control parameters are ensured. And after the verification is passed, the master control node collects all effective parameters, executes a multi-stage data fusion and global controller updating process, generates a new generation of global control parameters, and synchronously distributes the new generation of global control parameters to all robot dogs. According to the method, the reliability and the anti-interference capability of the control system are enhanced by using a distributed consensus mechanism, and the control precision of the cruise speed and the cluster adaptive learning efficiency are improved by intelligently fusing group experience.

A fan section of an aeronautical propulsion system includes a fan rotor including seventeen blades to twenty blades and having a solidity strictly less than 1.0. The solidity is equal to a ratio between a chord at the blade tip and an inter-blade pitch at the blade tip. The fan section has a hub-tip ratio greater than or equal to 0.22 and less than or equal to 0.32, a pressure ratio greater than or equal to 1.05 and less than or equal to 1.5, and a peripheral speed at the blade tip greater than or equal to 260 m / s and less than or equal to 400 m / s. The pressure ratio and the peripheral speed are measured at cruising speed.

The invention discloses a coaxial main rotor-tiltable multi-slave rotor heterogeneous vertical take-off and landing layout, and relates to the technical field of vertical take-off and landing aircrafts, the coaxial main rotor-tiltable multi-slave rotor heterogeneous vertical take-off and landing layout comprises a fuselage, a fixed wing surface, a coaxial main rotor system and a vector slave rotor system; the vector slave rotor systems are divided into a front group and a rear group in the longitudinal direction and have independent tilting capacity; the method is characterized in that in a helicopter mode, a large-size coaxial main rotor specially optimized for hovering provides main lift force, and a vector slave rotor provides attitude control through tilting and differential speed; in the fixed wing mode, the coaxial main rotor stops rotating and is locked as an auxiliary wing surface, the fixed wing surface in the middle of the auxiliary fuselage provides lift force, and a vector is converted into horizontal from a rotor system to provide forward flying thrust / pull force; transition between the two modes is achieved by controlling the front slave rotor wing set and the rear slave rotor wing set to execute different-direction tilting, the pitching moment can be naturally balanced in the process, and it is ensured that conversion is stable. Unification of high hovering efficiency, high cruising speed and high reliability of the aircraft is realized.

The application relates to a vehicle simulation test method and device, computer equipment, a storage medium and a computer program product. A first simulation model of a target vehicle is acquired, a simulation scene library is established, input signals and output signals of an adaptive cruise algorithm are determined in combination with a preset cruise speed, a second simulation model of the target vehicle is established, and simulation test of the target vehicle is performed according to the second simulation model of the target vehicle and the simulation scene library. The problems of high test cost, long test period and low test efficiency of the existing test method can be solved, and efficient and convenient test of the adaptive cruise function of a tractor is realized.

A method for providing a cruising speed recommendation to an operator of a vehicle includes determining a projected route; receiving route characteristic data including route elevation data; determining a sampling resolution; sampling the route elevation data at the sampling resolution to generate sampled route elevation data; determining at least one start of uphill position and at least one start of downhill position; determining at least one cruise speed route segment based at least in part on the at least one start of uphill position and the at least one start of downhill position; determining a corresponding cruising speed for the at least one cruise speed route segment based at least in part on one or more of the route elevation data and the sampled route elevation data; and communicating the corresponding cruising speed for the at least one cruise speed route segment.

The invention discloses an unmanned aerial vehicle conflict detection method based on a cruise speed range and a speed obstacle method, and relates to the technical field of unmanned aerial vehicle conflict detection, and the method comprises the steps: obtaining the telemetry data of at least two unmanned aerial vehicles, determining the cruise speed range of the corresponding model of the two unmanned aerial vehicles, and obtaining the set conflict prediction time window of the two unmanned aerial vehicles; and constructing a speed obstacle model containing a speed obstacle circle based on a speed obstacle method, and judging whether the two unmanned aerial vehicles conflict or not in combination with the telemetry data, the cruise speed range and the conflict prediction time window. A cruise speed range and a conflict prediction time window are introduced, and a speed obstacle circle combining a local vehicle and a conflict object speed range is designed for unmanned aerial vehicle conflict detection, so that the accuracy and reliability of unmanned aerial vehicle conflict detection can be improved. The improvements not only solve the limitation of the traditional speed obstacle method under the non-constant speed condition, but also provide a more flexible and efficient solution for practical application.

The invention discloses a vehicle cruise control method, device and equipment and a storage medium, and the method comprises the steps: obtaining the driving information of a target vehicle in a vehicle lane and an adjacent lane, and the driving information comprises the steering lamp state, the driving track, the position, the speed and the acceleration of the target vehicle; judging whether the target vehicle has a lane changing intention or not based on the driving information; and if the lane changing intention exists, the current cruising speed of the vehicle is controlled to approach the speed of the target vehicle in advance. According to the method, the lane changing intention of the target vehicle can be recognized in advance in the high-speed lane changing scene, so that the vehicle can start gentle deceleration control earlier, deceleration fluctuation and braking abrupt feeling are remarkably reduced, and the control comfort, smoothness and driving safety of the self-adaptive cruise system under the high-speed working condition are effectively improved.

1. The name of the design product: vehicle driving information display graphical user interface of electronic equipment. 2. The use of the design product: an electronic device. 3. The design points of the design product: the interface content of the graphical user interface in the electronic equipment. 4. The picture or photo that best indicates the design points: design 1 front view. 5. Design 1 is designated as the basic design. 6. The use of the graphical user interface: the graphical user interface is used to display the status information of the vehicle. 7. The human-computer interaction mode of the graphical user interface: design 1 front view is the interface of the normal driving mode of the vehicle, and the vehicle speed, navigation and lane environment information are displayed in the interface. Design 2 front view is the interface of the intelligent driving mode of the vehicle, and the vehicle speed, navigation and lane environment information are displayed in the interface. Design 3 front view is the speed limit reminder interface of the intelligent driving mode of the vehicle, and the speed limit information is displayed on the upper part of the vehicle speed value. Design 4 front view is the cruise speed adjustment interface of the intelligent driving mode of the vehicle, and the value of the set cruise speed is displayed on the lower part of the current vehicle speed value. Design 5 front view is the interface of the normal driving mode of the vehicle, and the vehicle speed, navigation and lane environment information are displayed in the interface, and after the user triggers the function button on the vehicle to start the intelligent driving function, the interface is switched to design 5 interface change state diagram.

This invention discloses an intelligent planning method and system for aircraft transportation missions based on real-time power prediction. The method includes: constructing a full-physics power model that couples the dynamic characteristics of the inertial measurement unit, the environmental wind field vector, and battery characteristics, and completing offline calibration; during mission execution, using an extended Kalman filter to jointly estimate the load mass and wind field vector in real time, and dynamically solving for the optimal cruise speed that minimizes energy consumption per unit distance; predicting the aircraft's remaining support distance based on the real-time calculated state and "energy bucket" model; and automatically triggering a hierarchical closed-loop strategy—prioritizing waypoint elimination, replanning the route, or immediate return—when energy is insufficient by continuously monitoring and comparing with mission requirements. This invention achieves accurate endurance prediction and autonomous mission adjustment under load changes and wind field disturbances, significantly improving the safety, adaptability, and completion efficiency of aircraft in multi-point transportation missions such as express delivery.

The application discloses a kind of multi-modal PI parameter regulation and control heavy commercial vehicle constant speed cruise control method, comprising: step one: based on vehicle signal, judge cruise state;Step two: obtain vehicle driving parameter, the vehicle driving parameter includes current speed, acceleration, current road slope;Step three: based on vehicle driving parameter, calculate constant speed cruise target torque;Step four: to constant speed cruise target torque is sequentially carried out threshold filtering, based on target speed and current speed difference dynamic adjustment first-order filtering.Step five: the target torque of vehicle control device calculated;Step six: according to target torque output control.Through three key dimensions of speed, acceleration, slope respectively design multiple PI parameters, so that control system can accurately match the control demand of vehicle in different dynamics state, significantly improve the control precision and stability of cruise speed, effectively suppresses speed fluctuation.

This application provides a method and apparatus for adjusting a vehicle's memory-based navigation speed. The method includes: in response to activating the memory-based navigation function, identifying the road type and number of lanes where the vehicle is located, and determining the road environment speed limit based on the road type, number of lanes, and memory-based speed data; in response to the vehicle reaching a continuous intersection section, determining the continuous intersection speed limit based on the vehicle's constant speed driving time and acceleration / deceleration time, as well as the continuous intersection speed limit range; in response to collecting speed limit sign information and / or electronic eye speed limit information, determining the speed limit sign speed limit and / or electronic eye speed limit; and determining a target cruise speed based on at least two of the following: the road environment speed limit, the continuous intersection speed limit, and the speed limit sign speed limit and / or electronic eye speed limit. Through this method, the system continuously adapts to changes in user driving habits and road conditions, improving user acceptance, stickiness, and satisfaction with the memory-based navigation function.

The application provides a kind of automatic regulation method of cruise vehicle speed, system, vehicle controller and electric vehicle.The method comprises: obtaining vehicle motion information, first preset acceleration threshold and second preset acceleration threshold, the first preset acceleration threshold is used to control cruise vehicle speed up, and the second preset acceleration threshold is used to control cruise vehicle speed down;When judging that the vehicle motion information meets the first jump condition;Control vehicle from current speed adjustment standby state to enter speed adjustment active state, while starting to adjust the current cruise vehicle speed of the vehicle;According to the current speed adjustment state of vehicle, output adjusted cruise vehicle speed.The method provided by the application can automatically adjust the cruise vehicle speed in advance, realize reasonable cruise vehicle speed adjustment process, and improve user comfort.

The invention belongs to the technical field of aircraft performance design, and particularly relates to a method and system for designing a maximum voyage cruise mode of a subsonic aircraft, and the method comprises the steps: firstly obtaining a lift coefficient of maximum voyage cruise based on the characteristics of cruise performance and a lift-drag ratio rule at a given speed; then, the Mach number of maximum-voyage cruise is obtained based on the law of aerodynamic characteristics and oil consumption characteristics; and finally, the cruise weight and the atmosphere model are introduced to obtain the optimal cruise height of the maximum voyage cruise, so that the change strategy of the cruise height of the aircraft under different weight conditions is obtained. According to the scheme, the cruise factor is used as an analysis tool, and the maximum voyage cruise modes, including the cruise height, the cruise speed and the lift coefficient, of the subsonic jet aircraft under different weight conditions are constructed. In the model construction process, the method fully considers the balance between the precision requirement of data and the calculation complexity, so that the accuracy of the result is ensured, and the excessive complex calculation process is avoided.

This invention relates to an adaptive coasting control method and apparatus in cruise mode, belonging to the field of assisted driving technology. The adaptive coasting control method in cruise mode includes: acquiring multiple downhill sections within a map data coverage area that meet preset conditions; determining the target downhill section the vehicle is about to reach based on the vehicle's current position; and determining the starting point position for coasting in neutral mode based on the starting point position of the target downhill section, the vehicle's current speed, the target cruise speed, the lower limit of cruise speed fluctuation, and the vehicle's running resistance. This invention reduces the complexity and cost of coasting in neutral mode during cruise through simplified control steps and is applicable to complex roads with multiple downhill sections, improving the flexibility of the coasting control strategy.

This application relates to a cruise control method, apparatus, computer equipment, and storage medium for a hybrid vehicle. The method includes: when the hybrid vehicle is in cruise mode, determining the battery adjustment power based on the target cruise speed and the current vehicle speed; determining the generator output torque and drive motor power based on the battery adjustment power and the current engine power; determining the vehicle's cruise torque based on the drive motor power and the generator output torque; and controlling the hybrid vehicle according to the vehicle's cruise torque. This method can improve the stability of the hybrid vehicle when cruising at a constant speed based on the target cruise speed.

The application discloses a vertical take-off and landing fixed-wing aircraft based on thrust vector nozzles, which comprises four engines, four thrust vector nozzles, a wing, a fuselage, a T-shaped tail wing and a support; four sets of power devices adopt a four-point isosceles trapezoidal symmetrical layout, and front and rear power devices are symmetrically arranged about the gravity center of the whole machine. The transverse spacing of the front power device is 2.5-3 times that of the rear power device, the spanwise projection is located at 40%-60% of the wing span length, and the height is matched with the wing leading edge to realize jet flow lift increase; the height and horizontal position of the rear power device are optimized to ensure stable air intake. The thrust vector nozzle takes the horizontal axis of the fuselage as the 0° reference, the vector angle adjustment range is not less than -95°-+15°, and the hovering, mode transition and steady switching of the flat flight are realized through differential adjustment. The application cancels the tilting mechanism, reduces the structural dead weight, reduces the aerodynamic interference, and improves the cruising speed and flight safety.

The application discloses a vehicle cruise speed control system and method, a storage medium and a vehicle, and relates to the technical field of intelligent driving, the vehicle cruise speed control system comprising: a road information automatic acquisition device, a manual input device, a main control module, a display module and a cruise control module; wherein the road information automatic acquisition device is used for collecting speed limit information of a road section where a target vehicle is currently located; the manual input device is used for manually setting speed control information; the main control module determines a cruise speed setting mode and a cruise speed setting value of the target vehicle according to the received speed limit information and / or speed control information; the main control module determines a cruise speed identifier according to the cruise speed setting mode and the cruise speed setting value, controls the display module to display the cruise speed identifier, and instructs the cruise control module to control the cruise speed of the target vehicle according to the cruise speed setting value, so as to distinguish the indication and control strategy of the automatic setting and manual setting of the cruise speed.

The embodiment of the invention provides a vehicle operation control method and system and a two-wheeled electric vehicle, and the method comprises the steps that under the condition that the two-wheeled electric vehicle is in a cruise mode, target environment data are obtained, a set of sensing equipment is arranged on the two-wheeled electric vehicle, and the target environment data are transmitted to the two-wheeled electric vehicle; the target environment data comprises environment data obtained by performing environment sensing by at least one sensing device in the group of sensing devices; performing target identification on the target environment data to obtain an environment target set; and cruise control is conducted on the two-wheeled electric vehicle based on the environment target set and vehicle cruise parameters corresponding to the cruise mode, and the vehicle cruise parameters comprise the preset cruise vehicle speed and the preset vehicle following distance. Through the vehicle operation control method and device, the technical problem that the vehicle operation safety is poor due to the fact that a vehicle operation control method in the related technology is single in control mode is solved, and the technical effect of improving the vehicle operation safety is achieved.

This invention discloses a cruise mode torque control method, device, vehicle, and storage medium. The cruise mode torque control method includes: acquiring the initial vehicle weight, initial road gradient, and initial required torque when the vehicle is in cruise mode; and acquiring the current vehicle speed, current vehicle weight, current road gradient, and theoretical required torque when the vehicle returns to cruise mode; determining a first required torque based on the initial vehicle weight, initial road gradient, initial required torque, current vehicle weight, current road gradient, and theoretical required torque; determining a second required torque based on the current vehicle speed; and determining a target required torque based on the first and second required torques, where the target required torque is the torque required to maintain the cruise set speed. This invention enables the immediate calculation of the torque required to maintain the cruise speed upon entering cruise mode, reducing speed adjustment time and minimizing excessive speed overshoot when entering cruise mode.

The embodiment of the invention provides an adaptive cruise control method, an adaptive cruise control device and an adaptive cruise system. During adaptive cruise control, a historical self-vehicle speed set of the self-vehicle is acquired, the acquired historical self-vehicle speed set comprises at least one historical self-vehicle speed continuously acquired immediately before the acquisition time of the current self-vehicle speed of the self-vehicle, and smoothing filtering processing is performed on the current self-vehicle speed based on the historical self-vehicle speed set. And then, according to a difference value between the current self-vehicle speed after smooth filtering processing and a set cruise vehicle speed, self-adaptive cruise control is carried out on the self-vehicle. By means of the self-adaptive cruise control method, the fluctuation of the vehicle speed used during self-adaptive cruise control can be eliminated, and therefore the control precision of self-adaptive cruise control is improved.

The invention provides a train control method and device and electronic equipment, and the method comprises the steps: obtaining the planned operation time of a front train from a turnout exit to a target parking point when the front train is driven out of the turnout exit in a marshalling interval; according to the planned operation time, the operation speed when the front vehicle drives out of the turnout exit, the position information of the turnout exit, the position information of the target parking point, the first acceleration and the second acceleration, the cruising speed and the constant-speed operation duration of the front vehicle are obtained; the first acceleration and the second acceleration are acceleration speeds of the front vehicle during accelerated operation and decelerated operation in the marshalling interval respectively; and according to the cruising speed, the constant-speed running duration, the first accelerated speed and the second accelerated speed, the front vehicle is controlled to run from the turnout exit to the target parking point. According to the method, the running curve of the front vehicle is dynamically planned based on the running diagram rigid constraint, so that dynamic marshalling control which not only meets the running diagram rigid time constraint, but also can ensure the running comfort is realized on an embedded hardware platform with limited computing power.

The invention discloses an incremental acceleration and deceleration acceleration and brake pedal control method and system, and belongs to the field of automobile driving auxiliary systems. In the cruise override state, according to the product of the stroke increment and a preset control coefficient, generating a change acceleration / deceleration, and according to the sum of the basic acceleration / deceleration and the change acceleration / deceleration, generating a target acceleration / deceleration; and in the override-to-override state, according to the product of the stroke increment and a preset control coefficient, generating a change acceleration / deceleration as a target acceleration / deceleration. The vehicle speed when the pedal has no stroke serves as the standard vehicle speed, and automatic setting of the cruising vehicle speed is achieved; in the cruise override state, according to the pedal stepping action of a driver, on the basis of intelligent driving acceleration or deceleration, change acceleration and deceleration related to the stroke increment are superposed, so that the vehicle responds to the acceleration and deceleration intention of a user in real time; in the override state, the target acceleration and deceleration are directly set according to the pedal stepping action of the driver, so that the vehicle more accurately responds to the acceleration and deceleration intention of the user.

The application aims to provide a metro logistics system vehicle speed energy-saving control method considering the loading conditions of goods, relates to the cross technical field of urban rail transit and intelligent logistics, and aims to simultaneously improve the safety and energy efficiency of freight metro vehicles when running on curves. First, based on the dynamics equation of the carrying vehicle, a multi-body dynamics model of B-type metro vehicles is established and verified through field tests on Chengdu Metro Line 1. The simulation results under different working conditions reveal the influence of the loading conditions of goods on the safety and energy efficiency of vehicle operation. Then, a surrogate model is developed using the random forest algorithm to predict the performance of vehicle operation under any working condition. Finally, a double-objective optimization model is established for a specific metro section, and the objective function is derived from the surrogate model. By applying the multi-objective evolutionary algorithm based on adaptive reference points, the optimal cruising speed of the vehicle is determined, which can greatly improve the safety and energy efficiency of metro vehicles.

The application discloses a cruise speed adjusting method and device, and relates to the technical field of vehicle control, which comprises the following steps: obtaining a target cruise speed of a vehicle; calculating a vehicle speed deviation change rate in a current period according to the target cruise speed and actual cruise speeds at different time nodes; determining a vehicle speed deviation disappearance time matched with a cruise speed control system of the vehicle according to the vehicle speed deviation change rate; obtaining an actual cruise speed of the vehicle in a next period corresponding to the current period, and performing vehicle speed compensation on the actual cruise speed in the next period based on the vehicle speed deviation change rate and the vehicle speed deviation disappearance time to obtain a compensated vehicle speed; and calculating a cruise speed control system input deviation based on the compensated vehicle speed and the target cruise speed, and performing closed-loop regulation and control on the cruise speed of the vehicle according to the cruise speed control system input deviation. By applying the technical scheme of the application, the response speed of the cruise speed control system can be ensured, and the overshoot of the cruise speed can be reduced.

A kind of test system of aircraft surface structure gap and seal piece flow-induced sound vibration, wherein the test system is substantially a longitudinally extending multi-pipe segment closed structure, the multi-pipe segment closed structure is mounted on a support, and includes gas supply section, noise elimination and flow stabilizing and pressure stabilizing section, test section and gas release section connected in sequence;Wherein the test section includes sample mounting part, the test sample container of the sample mounting part is detachably connected, the pressure and temperature in the test sample container are controlled;The test section further includes microphone and vibration meter.The system can simulate aircraft cruising speed flow field and can simulate temperature and pressure difference environment when aircraft is running, obtain flow-induced noise spectrum, flow-induced vibration spectrum and transfer characteristics of typical structure gap and seal piece in simulated aircraft working environment, and key data in the field of civil aircraft vibration reduction and noise reduction control technology.

The application discloses an electric two-wheeled vehicle and an adaptive cruise method thereof, and relates to the technical field of vehicles.The method comprises the following steps: when the electric two-wheeled vehicle is in an adaptive cruise mode, environment information and / or state information are received, and the road condition is judged and the torque request under the corresponding road condition is calculated according to the obtained environment information and / or state information; the environment information at least comprises road information, and the state information at least comprises pose state information; the road condition at least comprises a curve scene; and the controller calculates the torque request according to the road condition, can identify the curve and control the cruise speed, guarantees the safety when passing the curve, and can provide better curve passing body sensation.

The invention provides a vehicle self-adaptive cruise control method, device and equipment and a medium, and belongs to the technical field of intelligent drive.The method comprises the steps that a first vehicle distance between a target vehicle and a front vehicle and a second vehicle distance between the target vehicle and a rear vehicle are obtained; whether the first vehicle distance and the second vehicle distance meet a safe driving vehicle distance or not at the current driving speed is judged, and when the safe driving vehicle distance is not met, a corresponding personalized driving strategy and a target cruising speed are matched for the target vehicle; and based on the personalized driving strategy, controlling the current driving speed of the target vehicle to be adjusted to the target cruising speed. Through the technical scheme in the embodiment of the invention, the corresponding personalized driving strategy and the target cruise speed can be matched according to the distance between the target vehicle and the front and back vehicles, and self-adaptive cruise control is carried out.

The invention belongs to the technical field of aircraft target allocation and planning, and particularly relates to a heterogeneous fixed wing cluster target allocation and planning method oriented to flight time collaboration, which comprises the following steps: firstly, introducing a KMEANS method, and clustering targets based on target positions to form target clusters corresponding to unmanned aerial vehicles; then, initial planning of the route in each target cluster is realized based on an improved genetic algorithm; and finally, redistributing and replanning targets in each target cluster on the basis of target position characteristics aiming at the endurance constraint caused by mutual difference of the optimal cruise speeds, so as to realize further reduction of endurance and endurance collaboration. The time-of-flight cooperative target allocation and planning algorithm is low in time complexity, low in computing power requirement and easy to deploy, and can be widely applied to top task planning and target decision allocation tasks of various heterogeneous unmanned aerial vehicle clusters in the future.