12results about How to "Achieve compensation" patented technology

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 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 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 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.

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 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 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.

This invention belongs to the field of ecosystem models and is a method for constructing a forestry resource ecosystem model based on hyperspectral remote sensing monitoring. The method includes the following steps: S1: Acquire hyperspectral remote sensing images and combine them with GIS geographic system data to form layers; S2: Construct a two-type large-cycle ecosystem model of biological and abiotic resources based on the hyperspectral remote sensing images; S3: Calculate ecosystem parameter indicators using the two-type large-cycle ecosystem model of biological and abiotic resources; S4: Analyze and judge the ecological state and compare and adjust the ecosystem parameter indicators; S5: Establish a forestry resource prediction equation based on the parameter indicators in S4; S6: Input forestry production data into the prediction equation, adjust the ecosystem parameter indicators based on the results, and obtain the optimal prediction equation to guide forestry production.