187 results about "Guidance control" patented technology

An air guidance control unit having a frame, which surrounds at least one air opening for air flowing along an air flow direction to flow through, a closing device including adjustable flaps, which closing device can be adjusted by means of an adjusting element between an open position in which the air opening is exposed and a closed position in which the air opening is at least partly closed. The invention devises various solutions for especially compact and reliable flap arrangements.

The invention discloses a method and system for cooperatively opening a door by a front door lock and a rear door lock, and the method comprises the following steps: front door linkage trigger processing: carrying out entrance record generation processing according to a complete behavior sequence detected by the front door lock to obtain a linkage trigger signal; back door safety decision processing: performing back door state detection and personnel identity multi-level verification processing according to a door opening request message received by a back door lock to obtain an unlocking decision result; reverse guide control processing: according to the doorbell event which is not responded by the front door lock, cross-door lock audio and video channel establishment processing is carried out, and a reverse unlocking instruction is obtained; schedule comparison guide processing: comparing visitor visiting schedule information when the front door lock rings, automatically unlocking and carrying out space guide; and dynamic addressing co-processing: according to the position information of the mobile terminal intercepted by the door lock in the multicast network, carrying out target rear door lock positioning processing to obtain a directional notification strategy. By utilizing the embodiment of the invention, the collaborative response efficiency and the user experience of the intelligent door lock can be improved.

A power equipment machine with operator selectable autonomous mode and manual mode is provided. By way of example, the power equipment device can provide user-assisted semi-autonomous steering along user-defined paths of a geographic area. Manual steering controls and autonomous guidance controls can be positioned on one or more movable armrests to enhance comfort and minimize operator fatigue. The manual steering controls can include a jog wheel and encoder mechanism located on a first armrest, eliminating conventional mechanical shaft and wheel steering devices and dual lap bar steering devices. Guidance and computer settings can be accessed through a touchscreen display mounted in front of an operator position on the power equipment device.

The invention relates to a robot advancing method and system based on an inertial sensor, and belongs to the technical field of robot autonomous navigation and inertial guidance control. The method comprises the following steps: acquiring advancing parameter data of a robot, and analyzing a track generation mode in the advancing process of the robot to obtain autonomous advancing track data; constructing a marching analysis model, inputting the robot marching parameter data into the marching analysis model to analyze inertial navigation information, and outputting a robot marching instruction; the stability of the posture state in the advancing process is verified, a robot advancing instruction is optimized through a path optimization protocol, and an instruction optimization set of an advancing path is generated; and constructing an offset compensation mechanism, selecting an instruction optimization parameter according to the advancing path when the advancing path is detected to deviate, re-inputting the instruction optimization parameter into the advancing analysis model, and re-matching a newly selected advancing path.

Air flow control insertable into an air opening for controlling air flowing along an air flow direction, with a closure device including a cloth or fabric adjustable between an opening position releasing the air opening and a closing position at least partially closing the air opening by means of an adjustment device for selectively releasing and closing the air opening to change the air resistance and / or for thermal management of a downstream unit in the air flow direction. Various solutions are proposed to integrate the air control system in or behind an air grille, especially in very limited installation space.

An autonomous vehicle control system includes one or more sensors configured for coupling with an agricultural vehicle, the one or more sensors configured to determine kinematics of the agricultural vehicle relative to a crop row. The system includes a guidance control module configured to coordinate steering of one or more steering mechanisms of the agricultural vehicle. The guidance control module includes a sensor input configured to receive kinematics of the agricultural vehicle, a vehicle kinematics comparator configured to determine one or more error values using the received vehicle kinematics, a crop curvature generator configured to determine crop row curvature using the one or more error values, and a steering interface configured to provide instructions to a vehicle steering controller to guide the agricultural vehicle using the crop row curvature.

The invention relates to a trajectory planning method based on improved sampling reinforcement learning. The method comprises the following steps: constructing a dynamic environment model; based on the dynamic environment model, defining a learning agent and a Markov decision process; performing algorithm parameter initialization based on the defined learning agent and a Markov decision process; based on the initialized algorithm, generating an original bulletproof trajectory through interaction between the intelligent agent and the environment; carrying out thinning processing on the original trajectory to generate a thinned trajectory; the thinning track is stored in an experience playback buffer pool, and strategy updating is carried out by using the thinning track; and based on the updated strategy, executing a defense penetration strike task. According to the method, the sampling precision and efficiency of deep reinforcement learning training in aerospace guidance control are effectively balanced, the strategy generalization ability and the training stability are improved, and a feasible scheme is provided for intelligent game strategy optimization in a complex dynamic scene; the method is especially suitable for engineering scenes with high requirements on real-time performance and reliability, such as missile penetration and target interception.

The application discloses a fixed-time convergence guidance control method with a landing angle constraint, and the method comprises the following steps: designing an approaching law based on a fixed-time convergence theory, obtaining a control instruction by using a sliding mode guidance law, and flying an aircraft according to the control instruction. The fixed-time convergence guidance control method with the landing angle constraint has a constant ratio of an upper limit of a convergence time of a system state to a whole guidance time, and the upper limit of the convergence time is irrelevant to an initial value of the system state, so that the problems of excessively long or excessively short convergence time and sensitivity to the initial value of the system state are effectively solved.

The present application discloses an information display method, method comprises: when a video display page is being displayed on the electronic device, and the video display page is used to display multiple candidate video data corresponding to the video display page, if the target video data in these candidate video data is being played on the video display page, then when it is determined that a preset guidance condition corresponding to the target video data is reached, a guidance control corresponding to the target video data and guidance prompt text corresponding to the guidance control are added on the video display page, so that after receiving a trigger operation for the guidance control, jumping directly from the video display page to the object aggregation page, so that it is possible to achieve the purpose of directly entering the object aggregation page from a piece of video data.

The invention discloses a spacecraft approaching rendezvous guidance method based on limited thrust, and belongs to the technical field of spacecraft guidance. The invention aims to solve the problem that fuel consumption and hardware cost cannot be taken into consideration at the same time in an existing spacecraft short-distance guide section autonomous approaching method. Comprising the steps of calculating a theoretical speed increment of a current task stage; in the execution process of the task stage, the state of the propeller is judged according to a preset period; if the propeller is in the propelling process, the remaining speed increment is calculated by combining the theoretical speed increment and the single-cycle speed increment of the propeller; determining that the propeller is in a non-propelling state until the current residual speed increment is smaller than a set threshold value; the theoretical speed increment is calculated again and compared with a track safety belt threshold value to judge whether the tracking spacecraft exceeds the safety belt range or not, and if yes, the task state is updated, and the propeller is controlled to conduct propelling so as to correct the transfer orbit until the task stage is finished. According to the invention, high-precision guidance control is realized.

The present application relates to the technical field of intelligent interaction, in particular to an interactive behavior guidance control method and system based on execution feedback data, the present application constructs a personalized baseline model containing spatial pressure distribution, fluctuation characteristics and action timing characteristics by collecting pressure distribution data of a user contact interface; on this basis, the spatial feature deviation degree and the time feature consistency of the current pressure distribution relative to the baseline model are calculated, the current state of the user is determined and the ergonomic constraint violation degree is evaluated; the feasible target point closest to the current state in the feasible region satisfying the constraint condition is searched, the corresponding guidance vector is generated, and the directional haptic guidance signal is output according to the user personalized parameters; at the same time, based on the execution feedback of the user to the guidance signal, the response characteristics of the user are modeled online and the response state of the user is inferred, and then the guidance parameters are adaptively adjusted, so as to realize accurate, comfortable and learning-capable interactive behavior guidance control.

This invention provides a parking guidance control method and system for electric vehicle charging stations, belonging to the field of parking guidance control technology. It achieves deep integration of parking and charging, unified resource scheduling, and connects the entire chain of perception, guidance, control, and billing through a central management platform. It abandons the isolated model of separate parking and charging, realizing collaborative management of parking spaces, charging piles, vehicles, and users, making resource scheduling more scientific and precise. Full-domain license plate recognition prevents misuse and abuse at the source. Dual protection through entrance recognition and secondary verification of parking spaces ensures that only compliant new energy vehicles are allowed to enter and use corresponding charging spaces. Problems such as fuel vehicles occupying spaces, unreserved occupancy, and incorrect charging are fundamentally solved, significantly improving the purity of charging resources.

The application discloses a tracking differential control guidance method applied to a high-dynamic aircraft, which is guided and controlled by a three-dimensional guidance model considering the dynamic characteristics of an autopilot, can optimize the "differential expansion" problem generated in a traditional backstepping control process, and compared with a dynamic surface guidance law applying a first-order low-pass filter to solve the problem, the guidance control method adopts a tracking differentiator to perform differential processing on a virtual control variable generated in a backstepping design process, so that the obtained result has higher precision, thereby generating higher control precision, and realizing the guidance control with higher precision.

The application provides a missile body and seeker installation error compensation method and system, comprising: obtaining a first angle value between a missile body and a target source by using a satellite navigation receiver and a strapdown inertial navigation system, the target source being at a preset distance from a launching frame on which the missile is placed and being within a field of view range of the seeker; obtaining an installation error angle value between the missile body and the seeker according to a rotation angle value of a frame of the seeker and the first angle value; and performing error compensation on an installation error of the missile body and the seeker according to the installation error angle value. Compared with the prior art, the first angle value between the missile body and the target source is obtained, the rotation angle value of the frame of the seeker is compared with the first angle value to obtain the installation error angle value, the installation error is reduced by software compensation according to the obtained installation error angle value, the precision of a line-of-sight angle measured by the seeker is effectively improved, and the precision of a missile guidance control system is improved.

The present application relates to a kind of water surface robot safety guidance control method based on dynamics constraint, comprising the following steps: S1, based on the construction of candidate control space of propulsion angle and rotating speed, generate multiple candidate control quantity combinations;S2, according to dynamics model, trajectory prediction is carried out to each candidate control quantity combination, and obtain feasible trajectory that satisfies dynamics constraint within preset prediction period;S3, collision risk assessment is carried out using closest approach point method, determine whether there is collision risk;S4, construct safety guidance control evaluation function, and select optimal control quantity combination from candidate control quantity combination by normalization weighted sum;S5, when there is collision risk, encounter situation is judged, and corresponding rule constraint is applied to candidate control quantity combination, and the final safety guidance control instruction is generated.The present application can quickly identify potential encounter threat in real-time scene, improve overall guidance control success rate and operation reliability.

This invention discloses an angle-constrained guidance and control method for an aircraft, comprising the following steps: establishing a guidance system based on the relative motion equations between the aircraft and the target; setting up a timing disturbance observer for sub-estimation and feedforward compensation of the target's flight state; obtaining a timing sliding mode guidance law based on the timing disturbance observer and the guidance system; and controlling the aircraft's flight attitude through the timing guidance law. The angle-constrained guidance and control method disclosed in this invention can estimate and compensate for the target even without prior information, accurately acquiring target maneuvers and improving target strike accuracy.

The present application relates to a vision-based heterogeneous multi-copter unmanned aerial vehicle cluster cooperative guidance control method, which is divided into two stages. In the first stage, the multi-copter unmanned aerial vehicle without a vision sensor flies to a position that can be observed by the vision sensor of the multi-copter unmanned aerial vehicle with a vision sensor. In the second stage, the multi-copter unmanned aerial vehicle with a vision sensor guides the multi-copter unmanned aerial vehicle without a vision sensor to fly to a target of interest. The method solves the problem that part of the unmanned aerial vehicles without a vision sensor in the unmanned aerial vehicle cluster cannot perform a vision-based servo control task. The method enables part of the unmanned aerial vehicles without a vision sensor in the heterogeneous unmanned aerial vehicle cluster to also complete a task that relies on the vision sensor itself. By reducing the number of unmanned aerial vehicles with a vision sensor, the use cost of the unmanned aerial vehicle cluster is reduced, and at the same time, the weight of the unmanned aerial vehicle is reduced, and the endurance time of the unmanned aerial vehicle is improved.

A method for managing collaborative playlists is disclosed. The method includes providing, by a processing device, indication regarding one or more available collaborative guidance controls, receiving, by the processing device, first user selection regarding one or more of the collaborative guidance controls, receiving, at the processing device, second user suggestion regarding an additional content item for addition to the playlist, and responsive to determining that the second user suggestion satisfies the one or more collaborative guidance controls, adding the additional content item to the playlist for consumption by the first user and a plurality of second users via a plurality of user devices.

The application discloses a rocket powered landing section guidance control cooperation method and system based on reinforcement learning, and belongs to the technical field of guidance control.The application proposes a guidance control parameter adjustment method based on reinforcement learning, models a parameter adjustment process as a Markov decision process, trains a parameter adjustment strategy network of the parameter adjustment process by using a reinforcement learning method, realizes expected optimization of a guidance control comprehensive target under model uncertainty and disturbance, improves the precision of rocket powered landing section guidance control, and reduces landing loss.

This invention discloses an aerial traction propulsion system with beacon guidance function and its control method. The system includes a guidance control end carried by the towed object and a guided propulsion end serving as the aerial flight power source. The two ends are physically connected by a traction rope and transmit data through a communication link. The guidance control end generates guidance information and sends it to the guided propulsion end, which adjusts its flight state accordingly to maintain the traction configuration. The system has a manual mode and an automatic mode. In the automatic mode, the guided propulsion end performs a two-layer control of speed feedforward following and lateral deviation correction. The automatic mode includes two stages: heading hold and heading follow-up. Once heading follow-up is entered, it is irreversible. The system achieves safety protection through distance anomaly detection of the dual-end position data and communication disconnection timeout. This invention does not require complex sensors or dedicated thrust devices on the propulsion end and can be implemented using a general-purpose flight platform, making it suitable for various scenarios such as hang gliding, surfing, and skiing.

The invention discloses a speed-constrained optimal guidance method for convergence of average maneuvering targets, and in the method, a speed-ratio-constrained guidance control method is provided in the tangential direction of the speed of an unmanned aerial vehicle according to an optimal control principle for terminal guidance requirements under average overload constraints. The speed of the interceptor is greater than the target speed within a certain time, so that the speed advantage of the interceptor in the terminal guidance section is ensured, and necessary conditions are provided for realizing accurate interception under the condition of average maneuvering capability; and meanwhile, the method minimizes performance indexes related to control consumption, so that the aircraft has relatively high control efficiency.

The application discloses a kind of guiding control method and brain-like force sense glove based on speed map, the method includes constructing mixed vector field and virtual potential field;Combined with mixed vector field and virtual potential field, construct global convergent vector field as speed map;Obtain guide coordinates, and input speed map to obtain guide information;Based on guide information and the current speed of robot, obtain error information;Substitute it into controller to realize robot control.The application designs a global convergent vector as guide map in advance, guides system state to tend to be stable, so that robot is attracted to desired trajectory when there is disturbance, compensates the uncertainty and interference of control system with minimum calculation amount, significantly reduces the transient overshoot in flexible interaction process;Design three-dimensional force accurate estimation based on brain-like force sense glove, combined with guide control method and admittance relationship, realize flexible interaction of any type and any number of robots.

Providing technology that increases the possibility of rapidly performing the process of identifying reachable areas by tracing paths in any direction. [Solution] The reachable range guidance system comprises: a map information acquisition unit that acquires map information representing a road network expressed by links and nodes which are the endpoints of the links; a division unit that divides a predetermined area in which a plurality of the nodes exist into a plurality of cells which are areas with continuous links as boundary lines; a reachable node acquisition unit that acquires as reachable nodes the nodes that can be reached by following the links on the boundary lines from the current position using the remaining energy of the vehicle, and the nodes within the cells that can be reached by following the links on the boundary lines; and a guidance control unit that causes a guidance unit to guide the reachable range indicated by the reachable nodes.

This invention discloses an adaptive control method and system for continuous light carpet in dynamic scenes, relating to the field of vehicle lighting technology. The method includes: first, locking the unique identifier of the target lane to complete target locking; second, comparing the lane line list corresponding to each frame of the video stream with the target lane identifier in real time; third, in case of lane line data loss, activating a timing and fault-tolerance mechanism to freeze the control parameters of the previous frame of the light carpet; and fourth, executing light carpet safety shutdown and cooling control after a timeout. This method establishes a stable benchmark by locking the unique identifier of the target lane, avoiding target drift caused by perceived jitter; for temporary lane line loss, it adopts "timing + parameter freezing" to overcome the rigidity defects of traditional methods; and through timeout judgment and cooling period control, it forms a complete control closed loop of "locking-comparison-fault tolerance-stable output," significantly improving the continuity and anti-interference capability of the light carpet display, and is suitable for light carpet guidance control in dynamic driving scenarios.

The embodiments disclose an aerial drone navigation system including an aerial drone having a camera, LIDAR detection device, and autonomous navigation sensors, a computer vision system onboard the drone identifies human or animal targets using artificial intelligence, a mobile device wirelessly coupled to the drone receives live video, LIDAR data, and tracking information, communication module on the drone includes cellular and mesh hardware for transmitting sensor and location data to the mobile device or remote command nodes, a guidance control module autonomously directs the drone along a calculated path while avoiding static or dynamic obstacles detected by the LIDAR, a command interface receives mission parameters or rerouting instructions from an operator device, a wearable visual display device operable without a physical wired connection, configured to receive augmented or mixed reality overlays, interface with an AI engine for interpreting mission data, and accept voice input for authentication and control.

A guidance control device is provided with: an acquisition unit (72) that acquires a communication state between a guidance robot (20) that guides a person and a portable terminal (50) held by the person; a determination unit (73) that determines, on the basis of the communication state acquired by the acquisition unit, whether or not the person is out of the communication range of the guide robot; and an output unit (74) that outputs disengagement data when the determination unit determines that the person is disengaged from the communication range of the guide robot.

Provided is a method for autonomous unmanned aerial vehicle (UAV) landing, including: collecting an unmanned vehicle image dataset in advance, training an unmanned vehicle detection model by using the unmanned vehicle image dataset combined with a YOLOv5 neural network; collecting, by the UAV during a landing process, images of an area below the UAV at specified time intervals, inputting the collected images into the unmanned vehicle detection model for recognition and detection; if an unmanned vehicle is recognized, further determining position information of the unmanned vehicle, and outputting, by a control module, a long-range guidance control instruction, to instruct the UAV to fly to a specified distance position above the unmanned vehicle; collecting, by the UAV, an image of a target and determining position information of the target, and outputting, by the control module, a short-range guidance control instruction to instruct the UAV to land on an unmanned vehicle platform.

The application discloses a kind of time division multiplexing multi-core DSP program guiding and updating method, FPGA end, program guiding and updating control are carried out to multi-core DSP;Multi-core DSP end, under the guidance control of FPGA, first guiding is carried out using the bootstrap function after the reset of each DSP core, and the secondary boot program is moved from the BOOT space of the DSP core to the SRAM in the DSP core, and the application program of the DSP core is read from the FLASH and moved to the SRAM for running by running the secondary boot program, to complete secondary boot;After the secondary boot of main DSP is completed, the application program of main DSP is executed, handshake function is realized by establishing communication mechanism with external device, receives the instruction sent by external device, cooperates with FPGA update control, and the DSP core needing program updating is updated according to the instruction requirement.The application can realize multi-core DSP program guiding by only needing 1 piece of FLASH chip, can significantly reduce the area of layout, reduce cost, and the guiding of each core is independent and does not exist mutual influence.