31results about How to "Achieve compensation" patented technology

The invention provides a thermal infrared imager dark current compensation method and device, and the method comprises the steps: obtaining the change data of a target parameter of each pixel in a detector of a thermal infrared imager along with the change of the temperature, and generating a target corresponding relation table containing the target parameter-temperature corresponding relation of each pixel based on the change data, the target parameter-temperature corresponding relation is matched with the dark current-temperature corresponding relation; when the thermal infrared imager measures the temperature, a first target parameter generated by the dark pixel is obtained; determining the temperature corresponding to the current dark pixel in a target corresponding relation table based on the first target parameter; determining the temperature distribution of all the pixels on the detector by combining the current temperature of the dark pixel and the heat transfer characteristics of the detector and the pixels; determining a second target parameter representing the current generation of each pixel in a target corresponding relation table according to the temperature distribution; and correcting the current temperature measurement result of the pixel according to the second target parameter of each pixel.

The invention discloses an RSVP normal form electroencephalogram electrode offset self-adaptive compensation method for an autonomous motion scene, is suitable for an electroencephalogram signal decoding task in a motion state, and belongs to the crossing field of computers and biomedical engineering. For the problem of artifact interference in a motion state, positive and negative sample pairs obtained by sampling in an anchoring feature space without artifacts and a feature space to be compensated with artifacts are introduced through supervised contrast learning based on a decoupling training strategy, and the compensation capability of a feature extractor is trained by applying InfoNCE loss. Meanwhile, on the basis of small-batch sample data characteristics, a lightweight feature extractor is designed, and the EEG signals are downsampled into spatiotemporal features based on spatiotemporal convolution for subsequent comparative learning. Compared with a complex feature extractor using a self-attention mechanism, a multi-scale feature extraction module and the like, the lightweight design has the advantages that classification indexes such as BA and RECALL are obviously improved, and the calculation cost is greatly reduced.

The invention discloses a photoelectric turret visual axis stability control method based on self-adaptive disturbance prediction compensation and a computer product, and the method comprises the following steps: S1, establishing a gyro speed loop discrete model, calculating the deviation between the output of the model and the angular velocity of a visual axis measured by a gyro, and obtaining a disturbance estimation value through an inverse model and a low-pass filter; s2, constructing a mathematical model of disturbance based on a recursive least square method, and performing multi-step forward prediction on equivalent disturbance by using the model; and S3, carrying out weighted fusion on the predicted equivalent disturbance and the real-time disturbance estimation value, and finally feeding a fused compensation signal forward to the input end of the control system to counteract the influence of the actual disturbance on the system. According to the method, real-time estimation and dynamic prediction are fused, the learning-prediction capacity is added on the basis of perception-compensation of a traditional DOB, the method is suitable for a photoelectric turret control system which is remarkable in periodic disturbance or sensitive to delay, phase lag of the traditional DOB is reduced, and the stable control bandwidth and disturbance rejection capacity of a visual axis are greatly improved.

A rotating magnet magnetic field vector interference compensation method based on adaptive spectrum tracking, comprising: establishing a reference digital model of a rotating magnetic component, obtaining a raw magnetic measurement vector signal sequence of a three-component magnetic sensor at a preset observation point, and constructing a time-domain observation vector; establishing a finite harmonic model of each axial component; establishing a spatial modulation function; combining the finite harmonic model with the spatial modulation function to obtain a modulated time-domain signal; performing fast Fourier transform on the modulated time-domain signal, adaptively updating second-order IIR notch filter parameters under candidate frequency point set constraints, and then performing inverse fast Fourier transform to obtain a noise-reduced time-domain magnetic field signal; obtaining a non-stationary magnetic field signal across rotating speeds based on the noise-reduced time-domain magnetic field signal; performing vector fusion and coordinate unification on the non-stationary magnetic field signal to output a final dynamic magnetic vector signal mapping after interference compensation. The present application can improve the filtering effect on noise frequency points and improve the interference compensation effect.

The application discloses a shrinkage-compensating concrete containing acid-free weak base expandable graphite and a preparation method thereof. The concrete comprises cement 200-500 parts, mineral admixtures 50-200 parts, fine aggregate 600-800 parts, coarse aggregate 1000-1300 parts, water 120-200 parts, additive 5-15 parts and acid-free weak base low-temperature expandable graphite 15-75 parts. The expansion trigger temperature of the graphite is 90-100 DEG C, and the pH value is 6.0-8.0. The method comprises the following steps: firstly, uniformly mixing and stirring cement, mineral admixtures, fine aggregate, coarse aggregate and acid-free weak base low-temperature expandable graphite to obtain dry mixture B; secondly, mixing water and additive and adding the mixture into the dry mixture B to uniformly stir to obtain a concrete mixture; and thirdly, forming the concrete mixture, carrying out steam curing after final setting, naturally cooling to room temperature and obtaining the shrinkage-compensating concrete. Therefore, the concrete self-shrinkage can be precisely and efficiently compensated in the steam curing process of the concrete.

The invention discloses a workpiece attitude error compensation method and system based on a space angle and a TCSTRANS. According to the method, automatic sensing, seamless compensation and efficient machining of workpiece attitudes are achieved through the synergistic effect of three core technologies including automatic fitting of a space angle aligned by a laser plane, workpiece coordinate system correction of kernel translation and TCSTRANS characteristic coordinate system transformation supporting five-axis RTCP programming. An original machining program does not need to be modified, the operation complexity and the technical threshold are reduced, the machining precision, efficiency and process reliability are greatly improved, the method is particularly suitable for machining of a five-axis numerical control machine tool on precise workpieces, and the problems that in the prior art, manual experience is relied on, program management is disordered, and post-processing is complex are solved.

The application provides a constant stability control system for a numerical control machining center, which comprises a constant stability control unit, a multi-dimensional sensor group, a data storage module and a compensation execution module, the system takes the constant stability control unit as an execution main body, and the control method of the constant stability control unit comprises the following steps: step one, the constant stability control unit collects tool wear data, load fluctuation data and material hardness data in a machining process of the numerical control machining center in real time through the preset multi-dimensional sensor group, and the collection frequency is 99 Hz. Through high-frequency collection of working condition data by the multi-dimensional sensor group, a multi-dimensional perception model is constructed in combination with a fuzzy control algorithm, comprehensive compensation under the multi-factor coupling of tool wear, load fluctuation and material hardness is realized, the limitation of existing fixed parameter compensation is broken, the compensation range is expanded from plus or minus 5% to plus or minus 20%, and the adaptability is significantly improved.

The application discloses a CNN-LSTM-based phase calibration method for mode division multiplexing optical fiber communication and belongs to the technical field of optical fiber communication. By constructing a double-input CNN-LSTM hybrid neural network architecture, MIMO input signals and original target signals of mode division multiplexing optical fiber communication are acquired, data preprocessing is carried out, the spatial feature extraction capability of a convolutional neural network and the time series modeling capability of a long short-term memory network are combined, effective compensation of phase noise in long-distance strong coupling mode division multiplexing optical fiber communication is realized, complex MIMO signals are separated into real and imaginary parts and sliding window training samples are generated, and a double-branch network containing an image input layer, a convolutional layer, an LSTM layer, a deep connection layer and a self-defined phase calibration layer is constructed. The problems that the phase noise compensation capability of a traditional algorithm is limited and the convergence performance is poor under a strong coupling condition are effectively solved, and the equalization performance and transmission quality of a mode division multiplexing optical fiber communication system are significantly improved.

The invention provides an automatic position compensation system and method in the TGV machining process, and the system comprises an XYZ movement module, an adsorption platform, at least two mask mark points, a cutting head, a laser system, a visual camera, a plurality of temperature sensing units and a computer control system. Acquiring and storing reference coordinates of each mask mark point; in the laser machining process, machining is suspended according to a preset machining interval, the visual camera is controlled to shoot the mask mark point again, and the current coordinate of the mask mark point is obtained; comparing the current coordinate with a coordinate recorded last time, and calculating a position offset compensation value and a rotation angle compensation value for compensating a subsequent processing path; controlling the XYZ motion module to move according to the position offset compensation value and the rotation angle compensation value; the method has the beneficial effects that online, automatic and global closed-loop compensation of machining position errors is realized.

The application discloses a bridge operation modal analysis method based on structural dynamics and Gaussian process fusion, and can be used for bridge structure health monitoring. Acceleration sensors are arranged at key positions of the bridge to collect vibration responses in an operation state; mode force power spectral densities of each mode are extracted through frequency domain analysis as external excitation strength indexes. The indexes are taken as Gaussian process inputs and hidden variables are introduced to quantize influences of excitation changes on natural frequencies, damping ratios and vibration modes; an expectation-maximization algorithm is used to iteratively identify structural dynamics parameters and Gaussian process hyperparameters. Finally, the bridge modal parameters after excitation disturbances such as wind and vehicle flow are removed and the hyperparameters representing working conditions are obtained, and long-term tracking, evaluation and prediction of the bridge structure health are realized.

The application discloses a kind of sonar image classification methods of combined SLIC superpixel and graph attention network.It includes the following steps: according to the imaging principle of two-dimensional forward-looking sonar and side scan sonar respectively and prior information when imaging: the sonar image after correction is based on the image pre-segmentation of improved DeepLabV3+ network, SLIC superpixel algorithm is used to construct Graph (graph) structure data: construct the sonar image classification model based on GAT (graph attention network), the sonar graph structure data built is sent into network to complete the training and test of model;Verify the importance of pixel feature and spatial position feature.The application discloses a kind of sonar image classification methods of combined SLIC superpixel and graph attention network, which fully utilizes the space position relationship of acoustic shadow area, target area and shadow area by SLIC superpixel method and graph attention network, so as to realize higher accuracy of sonar image classification identification of sonar image by combining pixel feature and spatial geometric feature.

The invention provides a steering difference compensation method and system for an atom magnetometer, and the method comprises the steps: constructing a stable magnetic field space, enabling a three-axis magnetometer to be in rigid connection with the atom magnetometer, and calibrating the rotation angle of the atom magnetometer relative to the magnetic field direction through the three-axis magnetometer; performing spatial 360-degree rotation in a stable magnetic field space, recording a magnetic field value corresponding to each angle, totally obtaining a 360-degree steering difference distribution curve of the atom magnetometer, and burning the curve into a signal processor; in actual use, according to the real-time included angle between the atom magnetometer and the magnetic field and the actual magnetic field value corresponding to the included angle, the signal processor calls the steering difference distribution curve, obtains the steering difference under the included angle, processes the steering difference of the compensation atom magnetometer, and obtains the magnetic field value after the steering difference is compensated. According to the technical scheme, the technical problems that in the prior art, an atom magnetometer is high in production cost and large in assembly difficulty are solved.

The present application relates to a kind of temperature compensation digital passive phase shifter, including phase shift unit, two controlled switch units and temperature control unit, wherein the input end of first controlled switch unit is connected with radio frequency input port, the output end is connected with the input port of phase shift unit, the output port of phase shift unit is connected with the input end of second controlled switch unit, the output end of second controlled switch unit is connected with radio frequency output port, digital control signal Ctrl is connected to temperature control unit, the output port of temperature control unit is connected with the controlled port of two controlled switch units, temperature control unit outputs temperature control signal to controlled switch unit, and the characteristics of controlled switch unit are temperature compensated.The passive phase shifter of the present application does not increase system insertion loss, does not affect input and output matching, and does not additionally increase control interface.

The utility model belongs to the field of atom inertia measurement, and particularly discloses an auxiliary device for evaluating the Coriolis force of an atom interferometer, the auxiliary device comprises a lifting rotation supporting module and an inclination detection adjusting module, and the inclination detection adjusting module comprises an inclination detection unit and an inclination adjusting unit; the inclination detection unit is used for detecting the inclination of the vacuum container; the inclination adjusting unit is located at the bottom of the vacuum container and used for supporting the vacuum container and adjusting the vacuum container to be horizontal according to the inclination. The lifting rotation supporting module can be coaxially arranged under a vacuum container of the atom interferometer and can drive the vacuum container to rotate so as to modulate the Coriolis force. According to the invention, the effect of rotating the vacuum container in the atom interferometer with high efficiency and high precision can be realized.

The application discloses a voltage division offset compensation control circuit and a voltage division offset compensation method. The voltage division offset compensation control circuit comprises: a voltage stabilizing circuit, which is used for sampling an output voltage VO to form a feedback voltage signal, comparing the feedback voltage signal with a reference voltage VREF, and generating an adjustment control signal to adjust the output voltage VO. A compensation circuit is connected with a feedback node of the voltage stabilizing circuit, used for generating a compensation current IX based on the change of the output voltage VO, and injecting the compensation current IX into the feedback node of the voltage stabilizing circuit to offset the voltage division offset caused by the change of the output voltage VO, so that the feedback signal maintains a constant voltage division ratio under different output voltages. The application can eliminate the resistance voltage division error caused by the change of the output voltage in the voltage stabilizing circuit, and ensure the high-precision output of the voltage stabilizing circuit.

This application relates to the field of oscillators and discloses a microcontroller clock device and electronic device based on precision compensation. The device generates and replicates two sets of charging current, compensation current, and bias current through a current mirror unit. The charging current charges the capacitor of the charge-discharge oscillation unit, and the bias current powers the comparator unit. The comparator unit generates a complementary clock signal, which is then processed by a logic control unit to generate a charging control signal and a compensation control signal. The charge-discharge oscillation unit controls the charging and discharging of the capacitor according to the charging control signal, thereby oscillating and generating a clock signal. Based on the compensation control signal, the clock signal is precision compensated using the compensation current. This application's embodiment uses a complementary clock signal to generate the charging control signal and the compensation control signal, thereby achieving compensation control of the clock signal and improving its accuracy.

This invention discloses a bonding and positioning system for irregularly shaped products based on customized Mark points, comprising: a marking production unit for processing at least two identifiable Mark points on the surface of the irregularly shaped product to be bonded; a vision acquisition unit for acquiring image information data and spatial position data of the irregularly shaped product with identifiable Mark points; and a control unit, communicatively connected to the vision acquisition unit, calculating the pose deviation of the irregularly shaped product to be bonded based on the image information data and spatial position data, and generating compensation commands. This invention customizes and processes high-precision Mark points on the product body, providing a stable and dedicated recognition benchmark for the vision system, fundamentally overcoming the positioning difficulties caused by the irregular shape and weak contour features of irregularly shaped products.

The frequency adjustment circuit and method for a voltage-controlled oscillator (VCO) with temperature compensation function according to this application embodiment first generates a voltage signal through a control voltage generation branch and transmits it to the second signal control terminal of the VCO. The output signal of the VCO is divided by a phase-locked loop (PLL) branch and input to the frequency calibration branch along with a reference clock. A temperature sensor collects temperature data from the chip and sends the temperature data to the frequency calibration branch. The frequency calibration branch outputs a control signal to the first control signal terminal of the VCO based on the divided clock of the VCO's output signal, the reference clock, and the temperature data, so that the operating frequency of the VCO is the target frequency. The PLL branch locks the VCO operating at the target frequency. This solution avoids the PTAT voltage generation circuit and corresponding varactor diodes involved in traditional temperature compensation circuits, reduces phase noise, effectively achieves temperature compensation adjustment of the VCO, and realizes frequency locking.

This invention belongs to the field of robot motion control technology and discloses a global finite-time motion control method for robots based on an adaptive composite observer. The method includes: Step 1: Designing an adaptive composite observer based on finite-time sliding mode manifolds to comprehensively compensate for uncertainties in robot kinematics and dynamics; Step 2: Then, designing a non-singular end-effector sliding mode motion controller based on an adaptive neural network and a preset performance error affine design to directly stabilize motion errors in the task space; Step 3: Finally, achieving global finite-time stability of the entire observer-control system using the Lyapunov design method, ensuring that observer errors and motion control errors converge rapidly to zero within a finite time, while satisfying the system's preset transient and steady-state response characteristics. This invention can rapidly converge robot end-effector motion errors to zero within a finite time, effectively improving robot efficiency and execution accuracy.

The application discloses a PE signal compensation method and system in an ATE device, and relates to the technical field of ATE devices.The cable length is calculated through the wire delay, the compiler module identifies the waveform selection configuration item corresponding to each test pattern, the minimum period is screened out, the maximum frequency is calculated, and the intersection point of the maximum frequency and the cable length on a two-dimensional matrix is used to obtain a signal compensation gear parameter, so that the compensation of the signal is realized, manual calculation or configuration is not needed, the grade corresponding to the maximum frequency and the grade corresponding to the cable length are substituted into the two-dimensional matrix, the corresponding compensation gear parameter can be directly located, the cumbersome process of manually debugging parameters one by one in the traditional scheme is replaced, the compensation parameters under all scenes are pre-solidified in the matrix, a unified configuration standard is formed, the problem of unstable compensation accuracy caused by manual operation differences is avoided, and the consistency of the compensation effect under different test scenes is ensured.

The application discloses a time delay interference laser phase noise compensation method and device for optical frequency domain reflection, and comprises the following steps: obtaining a linear sweep signal light based on a signal source; obtaining a first heterodyne signal through a measurement interferometer, and obtaining a second heterodyne signal through a reference interferometer; and processing the first heterodyne signal and the second heterodyne signal by using a time delay interference algorithm, so that direct compensation of laser phase noise is realized; and obtaining a strain signal based on the direct compensation of the laser phase noise. Through compensation of the laser phase noise, high-precision measurement of the strain signal can be realized at a distance far beyond the coherence length of the light source.

The utility model discloses a high pressure type integrated temperature and pressure compensation horizontal type metal pipe float flowmeter which comprises a measuring assembly, a converter assembly, a long neck flange and a sensor assembly, the measuring assembly comprises a vertical pipe, a measuring pipe and a floater, the lower end of the vertical pipe is provided with a medium inlet and a medium outlet, and the measuring pipe is fixed in the vertical pipe; the floater is slidably connected in the measuring tube; the converter assembly is connected to the upper end of the vertical pipe. An indicator of the converter assembly is magnetically connected with the floater; the necks of the two long-neck flanges are respectively fixed on the peripheral sides, corresponding to the medium inlet and the medium outlet, of the vertical pipe; the sensor assembly comprises a pressure sensor and a temperature sensor; and the pressure sensor and the temperature sensor are respectively fixed on the outer walls of the two long-neck flanges and are electrically connected with the indicator. According to the utility model, when a process medium suddenly changes due to high temperature or high pressure, the pressure sensor and the temperature sensor can be operated to compensate measurement data or distortion data, so that the measurement accuracy is ensured.

This invention discloses a device for applying sudden unbalanced loads to a simulated rotor, comprising a wheel, a high-temperature ceramic heating element, a strong magnetic block, an unbalanced mass block, an unbalanced mass compensation block, a strong magnetic block fixing screw, a conductive slip ring, a support frame, a rotating shaft, and bearings. The high-temperature ceramic heating element, the strong magnetic block, and the unbalanced mass block (or unbalanced mass compensation block) are sequentially installed radially from the inside out in a rectangular groove on the wheel, and the high-temperature ceramic heating element is powered through a conductive slip ring mounted on the rotating shaft. By controlling the temperature of the strong magnetic block, the magnetic attraction force on the unbalanced mass block or the unbalanced mass compensation block is indirectly controlled, thereby achieving the sudden application or compensation of unbalanced loads on the rotor. This invention makes the application of unbalanced loads highly accurate and wide-range, allows for compensation of residual unbalance after application, and makes the repeated testing process more convenient and faster.

The invention provides a consumer financial sales clue network construction method based on a large language model, which belongs to the technical field of data processing, and specifically comprises the following steps: a data access module reads associated data to obtain unstructured text data; the feature enhancement module performs deep analysis on unstructured text data by using a semantic network construction strategy and a large language model, performs intention recognition, sentiment analysis and topic extraction, and generates semantic feature tags, and the network dynamic construction module is responsible for forming a dynamic and multi-dimensional relationship network. The reasoning module generates operable sales clues described by natural languages, and the touch strategy generation module automatically generates or recommends personalized communication verbal skills on the basis of the generated sales clues and constructs strategies and recommendation matching conditions of different marketing activities on the basis of a semantic network. And the user portrait group needing to be optimized in the semantic network construction strategy is determined, so that the matching degree of recommendation processing is improved.

The present application belongs to the technical field of car coupler uncoupling, and in particular to a car coupler uncoupling robot operation adaptive control method under multiple working conditions, which comprises obtaining a car coupler uncoupling original data set in time dimension and action stage dimension and performing standardization processing; performing multi-modal analysis on the standardized data set, constructing an execution parameter feature set of trajectory response parameters, force feedback parameters and visual recognition parameters; integrating and aligning the execution parameter feature set based on time and action stage dimension, generating an execution action feature set; comparing the execution action feature set with a preset ideal strategy parameter set to obtain a simulation deviation data set, and generating a compensation strategy based on deviation degree and deviation direction data; adjusting the execution action feature set through parameter compensation to form an adjusted action parameter set; generating a driving instruction using the adjusted action parameter set, driving the robot to perform the uncoupling action according to the updated trajectory, force control and visual following strategy, and realizing adaptive adjustment and control precision improvement under multiple working conditions.

The application relates to a low-voltage flexible DC power quality optimization method and system based on big data, and relates to the technical field of power control, and comprises the following steps: acquiring a DC bus voltage fluctuation sequence and an output current distortion rate sequence; calculating a light-load oscillation risk coefficient according to the distortion rate and the load rate, and calculating a heavy-load voltage drop depth according to the integral of the deviation of the voltage from the rated voltage; when the light-load risk exceeds a first threshold value, extracting a damping ratio decay trajectory of the same frequency from historical big data, and calculating a dynamic compensation coefficient; when the heavy-load drop exceeds a second threshold value, matching a recovery time constant according to the ratio of the current change rate to the voltage recovery speed, and generating a correction amount; nonlinearly fusing the compensation coefficient and the correction amount to obtain an adaptive virtual impedance, replacing a fixed impedance value and issuing the adaptive virtual impedance to a pulse width modulator. The application solves the technical problems that the traditional method cannot simultaneously consider light-load oscillation and heavy-load drop, cannot adapt to working condition changes in real time, and is prone to causing system instability.

The application discloses a method for improving the determination accuracy of multiple harmful residual substances, relates to the technical field of residual substance determination, and can solve the technical problem of how to effectively overcome the influence of baseline drift and noise interference in chromatographic analysis on the determination accuracy of multiple harmful residual substances at the present stage, and comprises the following steps: obtaining chromatogram data of a sample to be detected, wherein the chromatogram is used for representing the composition and content information of harmful residual substances in the sample to be detected; performing baseline correction on the chromatogram data to obtain a baseline corrected chromatogram; determining the abnormal characteristics of multiple spectral peaks in the chromatogram according to the baseline corrected chromatogram, and calculating a comprehensive disturbance coefficient of the chromatogram according to the abnormal characteristics of the multiple spectral peaks; performing denoising processing on the baseline corrected chromatogram according to the comprehensive disturbance coefficient to obtain a denoised chromatogram; calculating the peak area of the spectral peak corresponding to each harmful residual substance according to the denoised chromatogram, and determining the concentration of the harmful residual substance according to a preset standard curve.

The application provides a polarization tailing error estimation method based on meta-learning in a high dynamic environment, and belongs to the field of bionic polarization navigation, and comprises the following steps: a polarization angle error database caused by tailing interference under different rotating speeds is established; in an offline stage, a rotating speed related network and a rotating speed independent network are trained based on a meta-learning strategy, polarization angle errors are decoupled into rotating speed related features and rotating speed independent features; in an online stage, when performing linear motion, a polarization / inertial navigation correction dynamic model three-dimensional attitude error is used; in turning motion, the rotating speed related features are taken as states, the polarization angle inverted by a carrier dynamic model is taken as a measurement, the rotating speed independent features are taken as a measurement matrix, the rotating speed related features are estimated, the rotating speed related features and the rotating speed independent features are fused, and the estimation of the polarization tailing error is completed. The application combines offline and online learning to complete adaptive estimation and compensation of the polarization tailing error under different rotating speeds in a high dynamic environment, and improves the navigation performance of a bionic polarization integrated navigation system.

The invention provides an aircraft, cable and boat consistency cross-domain cooperative control method and system based on model prediction, and relates to the technical field of cross-domain unmanned system cooperative control, and the method comprises the steps: constructing an unmanned aerial vehicle-water supply cable-unmanned boat cross-domain cooperative prediction model; acquiring system operation state information; generating dynamic compensation information through a neural network to correct the prediction model; constructing a consistency error state; building a model prediction control optimization problem based on the corrected model and the error state, and solving the problem to obtain an optimal control instruction; and outputting an instruction to an execution mechanism to realize collaborative movement. According to the method, the neural network is introduced to carry out online compensation on uncertain items of the model, and rolling optimization is carried out under a multi-constraint condition by utilizing model prediction control, so that the technical problems of low cooperative consistency control precision and insufficient robustness of a cross-domain heterogeneous platform in a complex environment are solved; and the cooperative control precision and the operation safety of the cable boat system are obviously improved.

The present application belongs to the technical field of hydraulic control, and discloses a large-diameter high-pressure ball valve hydraulic torque feedback adaptive control system; comprising: a multi-modal sensing module: used for collecting the torque of the high-pressure ball valve stem, the position of the valve stem, the oil pollution degree and the oil temperature, and performing corresponding filter replacement warning and temperature warning; an adaptive control module: used for denoising the torque and the position, calculating the torque error and the position error, optimizing the PID parameters of the PID control algorithm, realizing the composite closed-loop control of the torque and the position, and obtaining the control instruction; obtaining the compensated control instruction through dynamic friction compensation; a hydraulic power module: used for adjusting the pump displacement and the overflow valve opening degree according to the compensated control instruction, and outputting the oil to the actuator module; an actuator module: used for receiving the oil to drive the hydraulic motor to operate; the present application guarantees the accuracy and stability of torque control.