2685 results about "Control logic" patented technology

A system and method is described for internationalization of web pages by extracting translatable content from extensible mark-up language (XML), or similar data-centric meta-language representations of web pages or data used to build web pages. The extracted translatable content is stored in a translation task repository (TTR) accessible by the web developer and the translator. The XML representation is then modified to include selection control logic to select the appropriate translations for insertion into the final web page. The translator accesses the TTR to translate the appropriate content and saves the translations back to the TTR associated with the original translatable data. The translations are obtained from the TTR as selection cases for the selection control logic of the XML representation. As the XML is converted into the web source code, the selection logic and translations are embedded therein facilitating building the web site in multiple different languages.

The invention discloses a modularized intelligent tubular column conveying system based on digital twinning and self-adaptive control, and belongs to the technical field of digital twinning. The modularized intelligent tubular column conveying system is characterized in that a digital twinning model integrating a mechanical structure, electrical control and hydraulic power attributes is constructed; acquiring multi-source sensing data including an image sequence, a three-dimensional point cloud and vibration acceleration in real time, driving the digital twin model to perform synchronous simulation, and calculating a deviation value between the digital twin model and internal simulation data; on the basis of the deviation value, a control logic parameter adjusting instruction is generated through a predefined mapping rule, then updated control logic parameters are executed, and a complete pipe column conveying process is simulated to generate a predictive system state sequence; and finally, the safety-related state subsets are issued to a field controller to guide and execute preventive actions. According to the invention, deep fusion and closed-loop control of digital twinning and physical entities are realized, and the debugging efficiency, the environmental adaptability and the operation safety of a tubular column conveying system are effectively improved.

The invention relates to the technical field of electric energy conversion control, and discloses a multi-source load auxiliary power supply power balance control system, which comprises a sampling module, a control module and a modulation module, the sampling module obtains parallel converter branch current and direct current bus voltage; the control module determines a weight by utilizing physical associated association of a bus voltage change gradient and branch current change polarity, corrects a dynamic slope factor determined by a current change rate according to the weight, and performs upper limit clamping on the dynamic slope factor according to a bus voltage margin; according to the invention, the rigid restriction of droop control logic is eliminated, the power deviation generated by asymmetry of feeder impedance is automatically offset while the bus voltage stabilization precision is maintained, and the convergence speed and the certainty of the system during violent load switching are improved.

The invention discloses a multi-precision matrix calculation unit and a use method thereof, and relates to the technical field of integrated circuits, the multi-precision matrix calculation unit comprises a control logic unit, a cache module and a calculation array; wherein the control logic unit is used for configuring a computing array and controlling the cache module to read in and read out data; the cache module comprises three first cache sub-modules and one second cache sub-module; wherein the three first cache sub-modules are respectively used for caching a first to-be-processed matrix, a second to-be-processed matrix and a third to-be-processed matrix, and the second cache sub-module is used for caching a result matrix; and the calculation array is used for carrying out multiplication and addition operation on different types of to-be-processed matrixes to obtain a result matrix and writing the result matrix back to the cache module. The method can serve as a basic operation core for integrated processing of large-scale matrix multiplication and can also be integrated in processors such as RISC-V for matrix operation, universality is higher, and the method can adapt to fast and efficient calculation scenes.

The invention discloses a novel precise ammonia spraying control system for an SNCR (selective non-catalytic reduction) denitration system. The system comprises an original pipeline, a newly added pipeline, a partitioned solution mother pipe, a first connecting pipe, a main stop valve, a first stop valve and partitioned solution branch mother pipes, a partition solution mother pipe is connected to the newly added pipeline, a main stop valve, a first stop valve and a second stop valve are arranged in the partition solution mother pipe, and the main stop valve is connected with the first stop valve and the second stop valve in parallel; according to the device, a modular design is adopted, dual improvement of denitration accuracy and stability is achieved through monitoring system reconstruction and control logic optimization, on one hand, a closed-loop control system with partition real-time monitoring, trend pre-judgment and hierarchical quantity control is constructed, flue gas analyzers and sampling point probes are arranged at inlets of the three types of cyclone separators respectively, and on the other hand, the flue gas analyzers and the sampling point probes are arranged on the other sides of the three types of cyclone separators respectively; the NOx concentration of the original flue gas of each partition is collected in real time and synchronously passes through a data collection chip arranged in the partition NOx storage early warning device.

The invention relates to the technical field of power equipment, and discloses a power electronic transformer redundant controller switching method, which comprises the following steps of: constructing a redundant control array to collect analog quantity data of a power electronic transformer in real time so as to obtain two groups of instantaneous interaction data; the master controller generates a control logic by any one group of instantaneous interaction data to control the operation state of the power electronic transformer, and sends the other group of instantaneous interaction data to the slave controller in a preset interruption period to dynamically update the data of the slave controller; through the redundancy design of the master controller and the slave controller, when the master controller breaks down, the master controller can be quickly switched to the slave controller in a control period, and the switched master controller continues the last updated instantaneous interaction data of the master controller before switching, so that the non-impact switching is realized, the fluctuation or shutdown risk of the system is avoided, and the reliability of the system is improved. The stable operation of the power electronic transformer is ensured, and the maintenance and shutdown loss caused by faults is reduced, so that the overall maintenance cost is reduced.

The invention relates to the technical field of sintered ore production, in particular to a multi-process cooperative control method and system of a sintering process. The sintering production level is comprehensively improved. The control method comprises the following steps: uniformly-mixed material replacement control logic: establishing a feed-forward compensation model taking a material ferrous component and a burn-out rate as variables, and adjusting the ratio of fuel to a flux; solid waste circulation matching control logic: establishing an admission and substitution mechanism of gravitational dedusting ash and environmental dedusting ash; hydrothermal cooperative control logic: establishing a coupling regulation mechanism of temperature and moisture of the mixture; the ignition-sintering end point cooperative control logic is used for adjusting ignition parameters and the main fuel dosage in a linkage mode; according to return mine balance control logic, the sintering process is reversely diagnosed and adjusted through the physical state and flow feedback of return mines; and fuel and flux replacement control logic: executing accurate replacement calculation taking carbon balance or alkalinity conservation as a basic principle, and introducing a particle size or activity degree correction coefficient for optimization. The method is realized by a multi-process cooperative control system.

The invention provides a meter management method fusing remote parameter configuration and local response control, and the method comprises the steps: constructing a self-adaptive configuration parameter set comprising basic parameters, dynamic regulation factors and environment adaptation coefficients through a remote configuration center according to a diversified operation environment and equipment difference, and transmitting the self-adaptive configuration parameter set to a target meter; the meter completes parameter analysis and rule mapping fusion locally, a control instruction sequence containing control logic and threshold expression is generated, then real-time monitoring and control operation is executed, and a comprehensive operation data set is formed through collection; by analyzing operation data and an instruction response result, a control adaptation adjustment factor is calculated to reflect control deviation, local rule mapping is updated, a self-adaptation feedback data set is generated and transmitted back to a remote configuration center, and parameter configuration and closed-loop optimization of a control strategy are completed; the method improves configuration flexibility and local response precision, and is suitable for intelligent management of large-scale heterogeneous meters.

The invention provides an epitaxial wafer edge morphology compensation type wafer double-sided polishing device and method, and belongs to the technical field of semiconductor wafer ultra-precision machining. The polishing main machine comprises an upper fixed disc, a lower fixed disc and a wafer driving mechanism; the pressure loading system is used for applying adjustable pressure to the fixed disc; the polishing solution supply system is used for conveying a flow-adjustable polishing solution to the processing interface; the central control unit is in communication connection with the two systems and executes edge morphology compensation control logic, specifically, the machining pressure is adjusted in a segmented mode, and the flow of the polishing solution and the pressure are subjected to coupling change. According to the method, the atomic level flatness of the wafer surface is ensured, the edge morphology is accurately controlled, the edge thickening of the epitaxial layer is perfectly counteracted, and the photoetching yield of high-end chip manufacturing is remarkably improved.

The application discloses a multimodal interaction method, device, controller, system, automobile and storage medium. The method comprises the following steps: determining a current interaction dialogue according to a current interaction voice at an interaction time; determining a current scene image and current scene data corresponding to a current interaction interface corresponding to the interaction time; adopting a multimodal recognition model to perform multimodal recognition on the current interaction dialogue, the current scene image and the current scene data, and determining a target control instruction; and executing the target control instruction to complete a human-computer interaction operation. The method can guarantee the output efficiency and accuracy of the target control instruction, reduce the complexity of customizing templates, rules and associations and other complex control logics in the development process, and improve the adaptability and generalization ability of voice interaction.

The invention discloses a laser equipment fault prediction and maintenance method based on digital twinning, and the method comprises the following steps: S1, collecting structure parameters, control logic and historical data, and constructing a unified neural network digital twinning model; s2, collecting multi-source operation data in real time in an operation process, and constructing a standardized state data set; s3, mapping the data to a unified neural network digital twin model to realize state synchronization; s4, predicting a future key parameter trend by using an LSTM model; s5, a health score is calculated through an entropy weight method, and the equipment state is quantitatively evaluated; s6, triggering early warning based on the health threshold value, identifying abnormity and generating a maintenance strategy; s7, pushing the strategy to an operation and maintenance system for closed-loop execution; and S8, maintaining feedback for retraining and self-optimizing the unified neural network digital twin model. According to the method, high-fidelity digital twin modeling is realized, so that a prediction-maintenance-feedback-updating intelligent closed-loop system is formed, and the fault prediction accuracy and the maintenance response efficiency of the laser equipment are remarkably improved.

The invention discloses a high-precision face recognition method and system which are suitable for complex illumination and unconstrained position scenes. The method is realized through cooperation of a multi-modal acquisition guide strategy driven by a state machine and a self-adaptive fusion mechanism based on a physical multiplier array: the state machine controls logic to generate a position-attitude sequence instruction, and drives a user to synchronously provide RGB-NIR image pairs in upper, middle and lower screen areas and left and right side face attitudes; the double-flow convolutional neural network extracts an aligned bimodal feature map through shared weight constraint; the attention fusion module dynamically generates a space-channel joint attention weight based on a local signal-to-noise ratio difference through a multiplier array and a weight register realized by hardware, and performs pixel-by-pixel weighted fusion on the bimodal features. And a physical mapping relation between state machine position change and modal weight distribution is established through coupling training. According to the invention, through algorithm hardening and hardware cooperation, the accuracy and real-time performance of cross-illumination and cross-position unconstrained face recognition are significantly improved.

The invention discloses an intelligent control system and control method for a flue gas environment-friendly island, belongs to the technical field of flue gas treatment, and solves the problem of how to improve the working condition adaptability, response speed and prediction precision of the environment-friendly island. According to the technical scheme, through intelligent integrated control over a plurality of subsystems in the denitration, dust removal and desulfurization processes, the working condition adaptability, the response speed and the prediction precision of the environment-friendly island are improved, on the premise that standard emission of pollutants is guaranteed, the comprehensive operation efficiency of all the process links is remarkably improved, energy consumption, material consumption and equipment loss are reduced, and the economic benefit is improved. According to the invention, an edge computing device can be used as an external communication module of a DCS, online robust operation is realized, the method is especially suitable for an environmental protection island SCR system in various flue gas treatment fields, safe, efficient and economical intelligent operation of the flue gas environmental protection island system can be realized on the premise of not changing original control logic, and the system has a wide application prospect. And the method has a wide popularization prospect and a remarkable industrial practical value.

The invention relates to the technical field of injection pump calibration, in particular to an injection pump automatic calibration method and system based on flow velocity stability, and the method comprises the following steps: S1, collecting flow velocity data in the operation process of an injection pump, and recognizing a boundary section of stable-to-unstable conversion based on a dynamic window; constructing a boundary drift indication map reflecting response delay, amplitude fluctuation and a rate inflection point; s2, identifying a consistency offset error mode from the atlas in combination with a multi-cycle drift behavior, marking a start window, a transfer window and a peak window, and generating a historical drift memory sequence; and S3, constructing a cross-cycle inheritance type calibration parameter template based on the memory sequence, and adaptively adjusting key parameters in input control logic to realize pre-calibration response before the injection pump is unstable. According to the method, by constructing the boundary drift map, the inheritance type calibration template and the dynamic parameter fusion mechanism, accurate pre-adjustment calibration and self-adaptive compensation optimization of the injection pump before the injection pump is in the unstable state are achieved.

The invention discloses a multifunctional hydraulic system experiment table, which relates to the technical field of hydraulic system experiment tables and comprises a time base line synchronous control module, a phase lock correction stability control module, a false peak identification and correction module, a multi-dimensional fault-tolerant judgment control module and a reverse energy slow-release anti-reverse module. And the time base line synchronous control module is used for establishing a cross-sensor unified time base line control structure, generating a synchronous reference surface by using a high-stability crystal oscillator signal, and executing nanosecond phase calibration on sampling signals of the pressure sensor and the flow sensor by taking the synchronous reference surface as a unified time reference. According to the invention, high-precision synchronous acquisition of pressure and flow signals is realized through unified time base line and phase locking correction, and high-pressure transient test data is ensured to be real and stable; and meanwhile, control logic is reconstructed, and an energy slow release strategy is introduced, so that the pressure relief process is stable and controllable, pump reverse rotation and structural impact are avoided, and the safety, reliability and self-healing stability of the experiment table are remarkably improved.

The invention discloses a spare power automatic switching device test switch simulation test system, and belongs to the technical field of power grid simulation test. Probability distribution generated through kernel density estimation covers a fault scene of a 99% confidence interval, and the characterization capability of an extreme scene is enhanced; the time delay precision of a switch action sequence is controlled timely and reliably by combining the global search capability of quantum annealing and the local fine tuning of the particle swarm algorithm, and equipment damage caused by time sequence dislocation is avoided by combining the UWB technology and the phase compensation algorithm; through an objective function weight coefficient and a closed-loop feedback mechanism, an optimization objective can be dynamically adjusted according to a fault type, through real-time comparison of a physical device and digital twinning and through logic criterion goodness of fit analysis, control logic consistency can be guaranteed, and through loop response time difference analysis and two-dimensional index quantification, verification precision can be guaranteed. And the strict requirements of the power system on correct logic and quick action of the spare power automatic switching device are met.

The invention discloses an industrial PLC control system, and belongs to the technical field of PLC control systems, and the system comprises a function distribution module which divides the production process of each type of circuit board into a plurality of logic steps, the logic steps are packaged and converted into independent function module modules, and a multi-device cooperation module carries out the scheduling data interaction with each processing device in real time. The edge calculation module is used for acquiring operation parameters, performing multi-device cooperative adaptive control on each processing device in the circuit board production workshop, predicting a fault risk, judging a risk level and performing fault positioning when a fault occurs according to the operation parameters of the processing devices, and generating a fault self-healing strategy to perform fault repair. Meanwhile, personnel and equipment interaction logs are recorded, fault event reasons are traced, the control logic reconstruction time can be shortened, the production change adaptability and the production reliability are improved, the equipment cooperation precision and the stability of the circuit board production process are improved, the fault processing time is shortened, and the production shutdown loss is reduced.

The invention discloses a graphical interface automatic control code generation method based on a large model agent, which comprises the following steps of: firstly, generating a task execution track through interaction between a ReAct agent based on a large language model and a graphical interface environment, and translating a hard coding action in the track into a soft coding action based on a semantic positioning page element; constructing a track library of a tree structure; then, on the basis of information in the trajectory library, a retrieval enhancement mechanism is adopted to generate an RPA function capable of being independently executed, and the RPA function is synthesized on the basis of soft coding actions and is automatically injected into robustness control logic; then executing the RPA function, if execution fails, triggering breakpoint analysis, and optimizing the RPA function through a mixed trajectory; and finally, testing the generated RPA function, and selecting to execute the RPA code or back to the ReAct agent for execution according to a verification result. According to the method, an automatic generation process from an intelligent agent interaction track to a robust and reusable RPA function is realized.

The invention discloses an unmanned aerial vehicle formation flight control method and device, an unmanned aerial vehicle and a storage medium. The method comprises the steps that formation parameters, flight task instruction data and flight state data of other unmanned aerial vehicles in a formation are acquired or updated; judging a control mode according to the flight task instruction data, wherein the control mode comprises at least one of the following modes: a normal control enabling and conventional flight mode, a calculation mode, a suspended hovering mode or a disintegration mode; according to the judgment result of the control mode, based on an L1 guide algorithm of self-adaptive track tracking, fusing unmanned aerial vehicle spacing control logic and / or formation control logic of formation dynamic adjustment to obtain a control instruction of an expected track and / or attitude, and executing the control instruction; and circularly executing the steps to ensure the continuity and dynamic adaptability of the unmanned aerial vehicle and the formation flight thereof. According to the scheme, a completely decentralized distributed control architecture is adopted, and a fault-tolerant mechanism is matched, so that the reliability and survivability of the formation system are remarkably improved.

The invention relates to the technical field of industrial digital twinning control, and discloses an optical fiber connector production line monitoring system based on digital twinning, and the system comprises a curing unit which generates a digital accompanying bill representing the hardness trend of a product based on thermal energy integration; the grinding unit reconstructs a targeted pressure and duration process formula according to the bill before the product arrives; according to the system and the method, cross-process feed-forward control logic is constructed, mandatory constraint is carried out on machining parameters by utilizing thermal historical data, error transmission caused by dispersion of a previous process is eliminated, and the system stability is improved.

The invention relates to a logistics robot system capable of sorting steel body material defects, which builds a sorting-logistics-endurance integrated whole-course autonomous system architecture, and integrates a heterogeneous dual-core processor architecture with deep hardware. The two key technologies of a YOLOv11-SG lightweight defect detection model and a lightweight LCC-LCC topology wireless charging system are organically combined, a state machine driven full-process cooperative control logic is matched, a complete autonomous sorting logistics solution is formed, the lightweight defect detection model guarantees independent perception of a terminal, the endurance problem is solved through the wireless charging technology, and the system is simple in structure and convenient to operate. And by combining the multi-module collaborative hardware and process design, the robot can autonomously operate in narrow and small scenes such as a 400mm narrow channel, the dependence on cloud computing and manual intervention is thoroughly eliminated, and a low-cost intelligent upgrading path is provided for medium and small-scale logistics scenes.

The invention relates to the technical field of electric digital data processing security, and discloses a solid state disk data encryption method and a solid state disk. According to the method, a national cryptographic algorithm hardware encryption and decryption co-processing module is serially arranged on a data bus between a main control chip and a flash memory particle array, so that transparent encryption of write-in data and transparent decryption of read-out data are realized; the module performs encryption and decryption based on an SM4 algorithm and an XTS advanced encryption standard mode in combination with a logic address as an adjustment value, and securely injects a root key through an out-of-band interface to derive a data key. The system comprises a main control chip, a flash memory array and the co-processing module, wherein the co-processing module is integrated with a hardware encryption and decryption engine, a key management unit and data flow control logic. On the premise that a general main control chip is not changed, high-performance, high-compatibility and high-security national cryptographic hardware-level full-disk encryption is realized.

The invention discloses a composite board production quality management and control system, and relates to the technical field of composite board production. The multi-modal sensing fusion module is used for performing weighted fusion on detection data output by the geometric detection unit, the interlayer and defect detection unit and the process parameter detection unit, and dynamically adjusting weights of various data according to the production line speed, the environment temperature and the sensor noise level so as to improve the accuracy of defect identification and process abnormality judgment; and the core algorithm and control logic layer is used for analyzing and processing detection data in the production process of the composite board and outputting a control instruction. The multi-modal sensing fusion module is arranged to carry out centralized processing on data of various types of detection units, so that multi-source information is coordinated and cross-modal data fusion is carried out, the recognition precision of complex defects is improved, and the detection stability is ensured.

The invention discloses a system for generating structured data based on natural language processing to drive UI dynamic rendering. The system comprises a voice acquisition and recognition module, a natural language processing module, a UI dynamic rendering driving module, a control logic automatic binding module and a rendering execution module. User voice or text instructions are automatically analyzed into structured JSON data through natural language processing, Jetpack Compose is driven to dynamically generate UI components, service logic is bound, zero-code interface construction is achieved, in addition, the system is combined with a local AI model, a factory mode and a reflection mechanism, multi-end adaptation, bidirectional data binding and event automatic processing are supported, and the system is suitable for large-scale popularization and application. According to the method, the development threshold is remarkably reduced, the iteration efficiency is improved, the method is particularly suitable for scenes such as smart homes and vehicle-mounted central control which need to quickly customize UIs, and meanwhile offline availability and cross-device consistency are guaranteed.

The invention relates to the technical field of industrial control, and provides an industrial control logic intelligent generation system and method. The multi-modal input module is used for acquiring multi-modal data for a to-be-controlled process; the domain knowledge graph module is used for storing a pre-constructed knowledge graph; the preprocessing module is used for preprocessing the multi-modal data based on a pre-constructed knowledge graph; the controlled logic generation module is used for generating a logic control intermediate representation for a to-be-controlled process through a large language model according to the preprocessed multi-modal data; the formalized verification and interaction module is used for carrying out formalized verification on the logic control intermediate representation; and the target file generation and output module is used for compiling the logic control intermediate representation which is qualified through formalization verification into a control logic file aiming at the target platform. Under the constraint of the domain knowledge graph, the large language model can generate flexible and high-adaptability industrial control logic according to background knowledge to accurately adapt to different process requirements.

The invention provides an ozone dissolved air flotation system and a dissolved air release control method thereof. The system comprises a gas dissolving unit, an ozone floatation unit, a detection module, a control module and an adjusting module, the gas dissolving unit is used for transmitting generated data to the detection module; the ozone air floatation unit transmits the generated flow, pressure and water quality parameter data of an air floatation tank to the detection module; the detection module monitors the running states of the air dissolving process and the air floatation process in real time, and transmits the collected real-time data to the control module; the control module performs comprehensive judgment on the data through the core algorithm unit according to the sewage treatment mechanism model, the LSTM neural network and the fuzzy control logic, and generates a corresponding control instruction; and after receiving the instruction of the control module, the adjusting module adjusts the corresponding equipment through an execution element. According to the invention, multi-parameter dynamic coordinated regulation and control of the ozone dosage and the dissolved gas pressure can be realized, and the ozone utilization rate and the system response speed are obviously improved.

The invention relates to a laser automatic frequency locking control system and method based on cold atom feedback and a matched spectrum, the system comprises a laser module, a spectrum module, a photoelectric detector, a modulation-demodulation module, a digital PID controller and a data acquisition and operation platform, and the output end of the laser is connected with the spectrum module; the detection light output by the spectrum module enters the modulation-demodulation module after passing through the photoelectric detector; an output signal of the modulation-demodulation module enters a digital PID controller, and the digital PID controller is connected with a laser for frequency scanning control and is in two-way communication with a data acquisition and operation platform through a data interface; the data acquisition and operation platform comprises a cross-correlation algorithm processing module, a frequency control logic module, a cold atom feedback processing module and an abnormity management module, and is used for calculating, feeding back, controlling and monitoring the system operation state in real time and completing the automatic frequency locking process. According to the invention, the accuracy of frequency locking point identification and the frequency locking efficiency are improved; and automatic relocking can be achieved, and long-term stable frequency locking operation is guaranteed.

The invention defines an Internet of Things containerization virtual PLC system based on star flash. The system comprises a cloud server, at least one fog end node, a star flash wireless communication module and field end equipment, two normal forms are converted: 1, a dynamic migration normal form of control logic is realized, and a PLC is not a static entity bound to specific hardware but a control unit capable of flexibly scheduling and seamlessly migrating among computing power nodes through containerization and thermal migration technologies, so that the system availability and the resource utilization rate are fundamentally improved; and 2, a wireless normal form of field communication initiatively establishes a star flash technology as a core communication link of a virtual PLC and field equipment, and a deterministic wireless link provided by the wireless normal form effectively solves the core bottleneck of uncontrollable time delay and reliability of the traditional wireless technology, so that industrial-grade control is possible to get rid of wired constraint. Through the synergistic effect of the two normal forms, the containerized virtual control system which is high in toughness and flexibility and extremely flexible in deployment, operation and maintenance is jointly formed.

A direct memory access controller (DMAC) includes a virtual channel, a physical channel, and a context manager. The virtual channel is configured to generate a flow control signal for executing a direct memory access (DMA) command. The physical channel includes read and write control logic to initiate data transmission from the source device to the destination device in accordance with the DMA command in response to the flow control signal. In one embodiment, a context manager includes: allocation logic configured to arbitrate between allocation requests from virtual channels and to allocate physical channels to selected virtual channels; and routing logic configured to route a flow control signal from the selected virtual channel to the allocated physical channel, and to route a status signal between the allocated physical channel and the selected virtual channel.

The invention discloses a multi-mode nonlinear model predictive control method and system for a visual servo-driven arm-carrying unmanned aerial vehicle, and belongs to the technical field of intelligent control of arm-carrying unmanned aerial vehicles. The objective of the invention is to solve the problems of unstable control mode switching and difficulty in unified control modeling of different target structures in existing unmanned aerial vehicle grabbing control. According to the technical scheme, a task-driven modal judgment mechanism is introduced, the current task modal can be judged in real time based on the target type, the image features and the flight state information, control strategy self-adaptive switching between a rod-shaped target and a plane target is achieved, and continuity and stability of control logic are guaranteed. For a rod-shaped structure target, a remote approaching, servo adjustment and compliant contact three-stage control strategy is designed, and a dynamic weight adjustment mechanism is introduced into NMPC control solution, so that smooth transition of control performance from quick response to fine compliant is realized, and the control precision and compliance of the arm-carrying unmanned aerial vehicle in different operation stages are remarkably improved. For a plane structure target, the invention provides an adsorption control strategy based on impact time prediction and angle feedforward compensation, the contact time can be accurately estimated, the attitude of the aircraft can be adjusted in advance, the adsorption stability is effectively improved, and the contact failure probability caused by inclination of a target surface is reduced.