29results about How to "Improve control stability" patented technology

This invention discloses a pneumatic hand rehabilitation system and method, comprising: in a model calibration phase, collecting multi-channel surface electromyography (EMG) signals generated by the forearm of the target patient when performing different hand gestures, and constructing coarse and fine classifier training sets; training multiple heterogeneous classification models using the coarse and fine classifier training sets respectively, and selecting the optimal coarse and fine classifiers; in a rehabilitation training phase, collecting multi-channel EMG signals generated by the forearm of the target patient in real time, calling the trained coarse and fine classifiers for two-stage hierarchical decoding, and outputting motion control commands; a pneumatic execution module parsing the motion control commands and driving the air bladder deformation of the pneumatic rehabilitation glove to drive the patient's hand to complete the corresponding rehabilitation movements. This invention can significantly improve individual adaptability, multi-finger recognition accuracy, and control stability under different physiological characteristics of patients and complex fine motor scenarios.

The application discloses a clutch torque characteristic curve generation method, medium, device and vehicle, wherein the generation method comprises the following steps: acquiring measured torque data, and generating a required breakpoint torque characteristic curve according to the measured torque data; and correcting the required breakpoint torque characteristic curve to obtain a linear soft area torque characteristic curve; acquiring software bottom layer parameters, and calculating a corresponding rapid change area characteristic curve according to the software bottom layer parameters and the linear soft area torque characteristic curve; and generating a clutch torque characteristic curve according to the linear soft area torque characteristic curve and the rapid change area characteristic curve. The application can effectively improve the accuracy of clutch torque value, and make the torque of the clutch torque characteristic curve meet the full torque stage of the clutch, thereby improving the control stability of the clutch.

The utility model discloses a kind of heating disc vacuum force balancing device and semiconductor thin film deposition equipment, the semiconductor thin film deposition equipment includes cavity, heating disc, bellows and heating disc vacuum force balancing device, the heating disc vacuum force balancing device includes lifting assembly and energy storage piece, the heating disc is located in the cavity, the bottom of the cavity and lifting assembly are connected respectively in the upper and lower ends of the bellows, the heating disc passes through the bellows and is connected with the lifting assembly, the energy storage piece is connected with the lifting assembly;Wherein, the lifting assembly drives the heating disc to rise to predetermined position when driving the energy storage piece energy storage, the energy storage piece generates reset force of driving the lifting assembly to drop.The utility model automatically offsets vacuum force by mechanical energy storage mode, significantly reduces servo motor load, improves system operation stability, effectively prevents the risk of equipment collision caused by motor failure at the same time, improves equipment reliability and security.

This utility model discloses a control circuit for driving a mobile robot, including a charger module, a power supply module, a communication module, a control module, an IMU module, and an interface module. The power supply module includes a power switching module, a power filtering and voltage regulation module, a power management module, a power monitoring module, and a key switch for a host computer. The power management module includes a power control module and a power distribution module. The power control module receives voltage requirements from different circuit components and transmits them to the power distribution module. The power distribution module converts the input voltage into a specific output voltage to meet the needs of different circuit components. Through high-speed data transmission, coordinated and precise control, and real-time status feedback between the power supply module, control module, and communication module, the dynamic stability of the mobile robot's drive control, the response speed of the mobile robot, and its endurance are improved.

This invention discloses an intelligent projection positioning and drilling accuracy control system for blast holes at tunnel faces, belonging to the field of tunnel drilling and blasting construction technology. It aims to solve the technical problems of inaccurate blast hole positioning and large drilling direction deviations in existing tunnel face systems, leading to low construction efficiency. The key technical points are: the control system includes a structured light projector mounted on a tunnel drilling and blasting trolley, at least two industrial cameras, a fiber optic shape demodulation module, and a controller. A fiber optic shape sensing unit is installed inside the drill rod at the end of the drill arm of the drilling and blasting trolley; the structured light projector projects structured light, the industrial cameras acquire binocular images, the fiber optic shape demodulation module calculates the curvature and torsion angle sequence of the sensing unit, and the controller controls the drill arm drive mechanism to correct the drill bit position and direction through 3D reconstruction, coordinate comparison, and real-time deviation adjustment. This invention achieves intelligent positioning and drilling accuracy control of blast holes at tunnel faces, improving the accuracy and efficiency of tunnel drilling and blasting construction.

The utility model discloses a kind of hard alloy tool bit and tooth body continuous brazing equipment, it is related to brazing technical field, including mounting block, the both sides of mounting block are fixedly connected with heater, the opposite side of heater is provided with tooth body, a plurality of notches for tool bit body brazing are set on the tooth body, the top of mounting block is rotatably connected with support block, and the top of support block is fixedly connected with supporting block.The utility model is equipped with limiting component, by cylinder two, slider can be controlled to slide along the bottom of supporting block, so as to drive connecting rod rotation, so that moving frame is mutually close, until driving limiting rod is attached to the side of tooth body, at the same time, the bottom side of moving frame is attached to the side of tool bit body, it is favorable to position correction to tool bit body, so that supporting block moves always keep and notch alignment direction advance, so as to not need manual calibration, improve the matching efficiency and precision of tool bit body and notch.

This invention provides a control method and system for a five-degree-of-freedom marine crane in a non-inertial frame, relating to the field of crane automatic control technology. The method includes: acquiring the real-time state variables of the crane in a non-inertial frame; inputting the state variables into an adaptive radial basis function neural network to obtain a lumped disturbance estimate, the neural network being designed based on a five-degree-of-freedom dynamic model established in the ship's coordinate system using the Lagrange equations and the principle of virtual work, considering the ship's six-degree-of-freedom motion and installation position offset; calculating a tracking error function based on the state variables and the desired trajectory; inputting the disturbance estimate and the error function into a feedback controller to calculate and generate a control torque, which is then output to the actuator to drive the crane to track the desired trajectory and suppress load sway. This invention achieves direct modeling and control in a non-inertial frame, solving the coordinate transformation disturbance and singularity problems caused by inertial frame modeling, and improving trajectory tracking accuracy and disturbance rejection robustness.

This invention relates to the field of robot remote control technology, specifically to a remote-controlled robot system and control method under high-latency intercontinental networks. The system includes: acquiring operator input to generate remote control command data packets and writing them into operator-side perception data to form perception-marked command data packets; receiving the perception-marked command data packets and acquiring robot-side execution data and safety boundary data; calculating the state offset between the operator-side perception data and the robot-side execution data to generate command verification results, and converting them into local control commands according to control reconstruction rules; after executing the local control commands, verifying the consistency between the robot-side feedback data and the operator-side displayed update data, and adjusting the execution permission level of subsequent remote control command data packets accordingly. This invention achieves a technical method for matching remote control commands with the current execution state of the robot in a high-latency intercontinental network environment.

The application discloses a cooling system liquid supplement tool, which is suitable for supplementing cooling liquid for a cooling system by a cooling liquid tank. The cooling system liquid supplement tool comprises a liquid supplement pump, a pipeline set, a sub-pump and a current controller. The liquid supplement pump has a liquid inlet. The pipeline set comprises a first pipeline and a second pipeline. The first pipeline is suitable for connecting the liquid inlet of the liquid supplement pump and the cooling liquid tank. The second pipeline is suitable for connecting the first pipeline and the cooling liquid tank. The sub-pump is arranged in the second pipeline and is suitable for driving the fluid in the second pipeline to flow. The current controller is electrically connected with the sub-pump and is used for providing operating power for the sub-pump and controlling the operating time of the sub-pump. The application can automatically supplement the cooling liquid without human intervention or additional controller intervention. In addition, most of the air in the pipeline set can be discharged before entering the inside of the cooling system, so that the subsequent pumping and flowing efficiency of the cooling liquid is improved.

This application discloses a method, apparatus, equipment, storage medium, and product for balancing energy consumption in a pumping unit well group, relating to the fields of industrial automation and energy efficiency optimization technology. The method includes: acquiring pumping unit electrical parameter data based on IoT devices and an oilfield database; calculating the power parameters and system efficiency data of each pumping unit based on the electrical parameter data; and accurately reflecting the operating status and power consumption of each pumping unit through real-time electrical parameter data acquired from IoT devices and the oilfield database. By inputting the power parameters and system efficiency data of each pumping unit into a pre-constructed pumping unit well system model, the corresponding target motor frequency is obtained. The pumping unit power is adjusted in real-time according to the target motor frequency, enabling dynamic calculation and optimization of the motor frequency, thereby achieving energy balance in the well group. By adjusting the motor frequency in real-time, it is ensured that the pumping units always operate at their optimal operating points, improving the control stability of the well group.

The application relates to the technical field of temperature control, and particularly discloses a medicament reaction monitoring method and system based on constant-temperature control, which comprises the following steps: generating a temperature change rate distribution gradient field in the interior of a reaction container and predicting a thermal diffusion trend vector diagram of a next control period according to a detection point data set with space-time characteristics; determining a feedforward decoupling control component based on local extreme points in the thermal diffusion trend vector diagram and real-time temperature values, and taking a difference between a global average temperature and a set target temperature as a main deviation; integrating and adaptively coupling the main deviation to generate a feedback adjustment reference quantity according to a temperature field uniformity index, and preventing overshoot fusion of the feedforward decoupling control component and the feedback adjustment reference quantity to generate a comprehensive driving instruction; and the application effectively solves the problems of temperature response lag, overshoot oscillation and poor adaptability to temperature field distribution changes, and improves the temperature control precision and stability of a medicament reaction process.

The application discloses a sintering endpoint advanced prediction and intelligent regulation method based on mixture characteristics and ignition initial state. The method belongs to the technical field of steel metallurgy automatic control. The technical scheme firstly collects physical and chemical characteristic data of the mixture and initial state parameters of the mixture surface ignition, and constructs a multi-dimensional feature data set; then, a sintering endpoint advanced prediction model is trained and established by using historical production data, so that the sintering endpoint position is predicted in advance; when the prediction result deviates from the set target value, the optimal control parameter adjustment amount is calculated by an intelligent algorithm, and instructions are automatically issued to adjust the sintering machine speed and the main exhaust speed. By introducing the mixture characteristics and the mixture surface ignition state as feedforward variables, the sintering endpoint advanced prediction and closed-loop control are realized, the problem of large hysteresis and poor stability of the traditional control method is effectively solved, and the yield and energy utilization rate of the sintered ore are significantly improved.

This invention provides a method and apparatus for hail cloud attenuation based on lidar detection feedback, belonging to the field of meteorological control technology. The method includes: registering and correcting joint detection data from weather radar and optical lidar; identifying the spatial distribution characteristics of hail-containing layers based on the registered and corrected joint detection data to generate spatial positioning data for laser control; acquiring the charge density distribution of the target cloud, establishing a safety window constraint matrix corresponding to the charge density gradient, and defining the laser path and laser power parameters; performing laser irradiation operation according to the laser path and laser power parameters, and updating the echo time difference compensation model and the safety window constraint matrix based on the lidar feedback signal. This invention achieves adaptive adjustment of laser irradiation parameters according to changes in cloud particle size and charge, thereby safely and accurately attenuating hail layers.

This invention relates to the field of polyether material preparation, and provides a low-foaming block copolymer ether and its preparation method. The method involves reacting a hydroxyl-terminated polyoxyethylene-polyoxypropylene block copolymer with propyltriethoxysilane isocyanate, followed by hydrolysis-condensation to construct a block copolymer ether with siloxane-containing nanoclusters at the end groups. By controlling the number-average molecular weight of the polyether backbone, the content of ethylene glycol oxy units, the content of propylene glycol oxy units, the amount of silane introduced, the degree of hydrolysis-condensation, and the average particle size of the siloxane nanoclusters, low initial foam height, low 5-minute foam height, suitable cloud point, and low residue are achieved. This solves the problem of simultaneously achieving persistent low foaming with low viscosity, a wide processing window, structural uniformity, water solubility, and compatibility stability, and has good industrial application value.

This invention provides a method and system for controlling the liquid level in penicillin fermentation based on visual recognition. By introducing visual AI detection technology into the field of penicillin fermentation production and combining it with the characteristics of fermentation liquid level, a complete set of reference standard selection schemes is innovatively constructed. It also proposes key indicators with specificity and innovation, such as "liquid level value", "rate value" and "fuzzy value", to provide quantitative basis for accurate identification and control of penicillin fermentation liquid level. It is linked with the control system to achieve automatic control, realizing accurate, stable and automated closed-loop control of penicillin fermentation liquid level.

The present disclosure relates to a signal processing method and device for vector control, electronic equipment and storage medium. The method comprises the following steps: obtaining an analog current signal; performing analog-digital conversion on the analog current signal to obtain a digital signal; passing the digital signal through an average filter to obtain an input signal; performing filter processing on the input signal based on a target filter corresponding to a target transfer function to obtain an output signal; and using the output signal for vector control. The embodiments of the present disclosure can improve control accuracy and stability on the basis of improving current sampling accuracy, and avoid the risk of motor out of control and other problems.

The application belongs to the technical field of fuel cells, and particularly relates to a mechanism constraint double-time-domain self-evolution optimization control method for an air compressor, obtaining multi-working-condition operation data, establishing a coupling simulation model of the compressor, the motor, the air pipeline and the load end, generating a sample data set and constructing a mechanism constraint set, determining a control action feasible region, fusing current state, historical state sequence and mechanism constraint information, extracting mechanism consistent state features, establishing a control model, generating a candidate control action and projecting it to the feasible region to obtain a control instruction, constructing a comprehensive evaluation model combining a short-time domain and a long-time domain based on the control instruction, and updating and adaptively correcting the control model in combination with long-term operation data, outputting a final control instruction and sending it to a high-speed driving motor and variable-geometry adjusting mechanisms at all levels to control the operation of the multi-stage centrifugal air compressor. The application improves the dynamic response performance, operation stability, gas supply matching capability and long-term robustness of the air compressor under wide working conditions.

This invention relates to the field of power grid resource regulation technology, and particularly to a collaborative regulation method and platform based on virtual power plant resources. The method constructs a comprehensive transient power support index to accurately quantify the reactive power support and voltage stabilization capabilities, active power ramp-up voltage reduction impact, and capacity decay effect of a single node. This fundamentally resolves the coupling contradiction between active power ramp-up and voltage stability at a single node, achieving precise adaptation between the active power ramp-up rate and voltage safety. This ensures the local operational stability of the distribution network while fully leveraging the power regulation potential of a single node. A pure node-level decoupled control architecture is adopted, with all regulation calculations based on locally collected electrical quantities, inherent node parameters, and platform preset parameters. This eliminates the need for inter-node communication and collaboration, and avoids reliance on global cluster data. It features low computational complexity, fast response speed, and adaptability to the rapid control requirements of voltage transient fluctuations in the distribution network, while also avoiding the communication costs and data dependencies associated with inter-node collaboration.

The application discloses a tension adjustment control method in a metal wire rod reducing process, and comprises the following steps: S1, obtaining multi-dimensional real-time operation data in the metal wire rod reducing process, and realizing tension-reducing coupling separation control based on plastic work difference value decoupling; S2, identifying yield drift characteristics of metal materials in the continuous reducing process, and realizing adaptive tension prediction control based on the yield drift characteristics, and the application relates to the technical field of metal wire rod processing. The tension adjustment control method in the metal wire rod reducing process fuses adjustment parameters of coupling separation control, adaptive prediction control and hierarchical suppression control by constructing a multi-parameter fusion weight model, and dynamically allocates control weights according to wire diameter precision deviation, tension fluctuation amplitude and disturbance source type, so as to realize collaborative optimization of various control strategies and improve overall control performance of the system.

This invention discloses a robust control method and system for brain-controlled unmanned aerial vehicles (UAVs) based on a large model, belonging to the field of brain-computer interface and UAV control technology. Specifically, it includes: acquiring EEG signals and identifying discrete brain-controlled event commands; inputting these commands into a large model intent reconstruction module after sliding window serialization encoding; outputting action candidates with multiple risk levels; performing parsing verification, risk assessment, and motion feasibility checks on the action candidates; selecting the final action and mapping it to parameterized motion skill atoms; having a state machine manage the execution of the skill atoms; implementing closed-loop execution via the flight control interface and monitoring safety boundaries; and triggering hovering and return-to-home actions in case of anomalies. This invention achieves intent reconstruction and risk-layered decision-making for brain-controlled commands, constructing a full-link safety closed-loop control system. It significantly improves the control stability, safety, and system resilience of brain-controlled UAVs under uncertain command conditions, reduces the risk of false triggering, and increases the mission success rate.

This invention discloses a method and system for precise control of the coffee roasting process based on digital twins, specifically relating to the fields of industrial process control and digital twin technology. It addresses the problem of inaccurate control decisions caused by model prediction errors during nonlinear dynamic abrupt changes in the process, as seen in existing digital twin-based control methods. This invention identifies in real-time whether the coffee roasting process has entered a nonlinear dynamic abrupt change stage. Within this stage, it simultaneously quantifies the prediction reliability of the digital twin model and analyzes the strength of path dependence effects generated by its historical predictions. Based on the quantification results, it dynamically adjusts the model prediction weights. Finally, based on the adjusted weights, it fuses the prediction results of the digital twin model to generate precise control commands, thereby achieving stable and precise control of the coffee roasting process.

The application discloses a kind of control method of rotating member, system and the control method of bearing, wherein, the control method of rotating member includes: obtaining rotating member identification information and rotating state information;When rotating member identification information and the current response rotating member identification information do not match, the initial value of Proportional-Integral-Derivative neural network model is updated according to the obtained rotating member identification information;The control parameter of Proportional-Integral-Derivative controller is calculated using rotating state information and the updated Proportional-Integral-Derivative neural network model;The rotating control value is obtained by processing rotating state information using Proportional-Integral-Derivative controller, to control rotating member.By updating initial value, control parameter is recalculated, and targeted control of different rotating members is realized.The control stability and program universality of rotating member control system are improved.The application solves the technical problem of the decline of rotating member control system stability caused by unreasonable selection of control parameter.

This invention relates to the field of unmanned aerial vehicle (UAV) technology, specifically disclosing a four-way traction-type UAV takeoff assistance device to improve the takeoff stability and safety of UAVs under conditions of high turbulent airflow and continuous water spray interference within a well shaft. The device includes UAV body components, a universal pulley assembly below the UAV's center of gravity, four traction ropes, ground pulleys at the four corners of the takeoff platform, four cable reeling / releasing drive mechanisms, a tension sensor, a rotary encoder, a flight controller, and a synchronization control module. This invention adaptively updates high and medium disturbance thresholds by statically calibrating initial thresholds and using real-time monitoring of wind speed shear coefficients, peak wind speeds, and water spray intensity. After iterative optimization through residual feedback, it combines LSTM residual cascade decoding under high disturbance levels, MLP nonlinear mapping decoding under medium disturbance levels, and sliding window linear interpolation decoding strategies under low disturbance levels to generate a driving voltage signal for adjusting the damping loop. This process iterates until the flight controller terminates the traction.

The application discloses a laser coarse-precision integrated tracking control method and system, and belongs to the technical field of laser communication control and adjustment. A light beam direction vector is constructed in a three-dimensional space, and inverse rotation operation is carried out in combination with a current turntable attitude, so that camera errors can be uniformly returned to an initial base coordinate system in any attitude, thereby realizing geometric consistency calculation and dynamic decoupling control of coarse tracking and precision tracking. The coarse tracking and the precision tracking adopt the same line-of-sight vector modeling method, the algorithm structure is unified, through the inverse rotation operation, the errors are always returned to the initial base coordinate system, the coupling influence caused by the change of the turntable attitude is eliminated, the mirror compensation angle is directly deducted on the line-of-sight angle level, the control superposition conflict in the traditional double-loop structure is avoided, under the small-angle approximation, only matrix multiplication and arctangent operation are needed, and the application is suitable for embedded high-speed control systems, and the turntable only tracks low-frequency residual errors, and high-frequency jitter of the mirror is avoided from being transmitted to the mechanical structure.

This invention belongs to the field of industrial control technology and discloses a rotary valve control method, device, and equipment for a polyvinyl chloride (PVC) feeding and conveying production line. The method includes: real-time acquisition of sensor data to obtain material characteristic data, which at least includes flow rate data; calculating a flow rate deviation based on the flow rate data and a target flow rate; when the flow rate deviation is less than a preset threshold, adjusting the PID parameters of an adaptive PID controller based on the flow rate deviation, calculating a first opening value based on the adjusted PID parameters, and adjusting the opening of the rotary valve based on the first opening value; otherwise, inputting the material characteristic data into a pre-constructed nonlinear model to obtain a second opening value, and adjusting the opening of the rotary valve based on the second opening value. The nonlinear model characterizes the nonlinear relationship between the material characteristic data and the opening of the rotary valve. This method enables timely and precise control of material flow rate, adapting to complex production requirements.

The application relates to the technical field of paperboard processing equipment automatic control, and discloses a paperboard digital slotting machine automatic control method and system. The method comprises the following steps: through synchronous acquisition of a tool vibration signal and cutting force data, a tool wear characteristic vector is obtained through processing and frequency domain analysis; if a wear condition is met, a depth compensation amount is extracted, a servo motor position instruction is generated in combination with a proportional integral differential control algorithm, a Z-axis executing mechanism is driven to dynamically correct a cutting depth; a parameter is optimized through a depth residual feedback, a compensation gain is dynamically calibrated and iteratively corrected until the residual converges to a preset precision. The method realizes real-time perception of a tool wear state and accurate compensation of a depth, solves the problem of unstable slotting depth in traditional control, improves processing precision, product consistency and production efficiency, and provides technical support for high-precision automatic production of paperboard slotting.

This invention discloses an automatic control method and apparatus for ship speed and heading based on a dynamic model. It includes: estimating the longitudinal motion state and heading motion state at a first moment, obtaining estimated values ​​for the longitudinal motion state and heading motion state at the first moment; calculating the longitudinal wind load and heading wind load at the first moment based on real-time data collected by a wind sensor, and determining the target heading and target speed at the first moment; calculating the target rudder angle and target propeller speed at the first moment based on the estimated values ​​for the longitudinal motion state, heading motion state, longitudinal wind load, heading wind load, target heading, and target speed, and generating control signals for the ship's heading and speed at the first moment based on the target rudder angle and target propeller speed. Using the above technical solution, environmental force factors can be considered in controlling the ship's speed and heading, improving control accuracy and stability.

The invention relates to the field of electric appliances, and provides a control method and device of a double-pipe air conditioner and the air conditioner. The method comprises the steps that after the double-pipe air conditioner operates in a heating mode for preset time, the indoor temperature, the target temperature and the indoor relative humidity are obtained; according to the indoor temperature and the target temperature, the type of a dehumidification mode allowed to enter is determined; determining a target dehumidification mode according to the indoor relative humidity and the type of the dehumidification mode allowed to enter; based on the target dehumidification mode, working parameters of the double-pipe air conditioner are controlled and adjusted; the working parameters at least comprise the conduction states of the three-way valve, the four-way valve and the electromagnetic valve. According to the control logic with the temperature and humidity double-parameter criterion as the basis and the multi-valve cooperation as the means, on the premise that the operation mode of the whole machine is not changed, dynamic decoupling and precise cooperation of the heating function and the dehumidification function are achieved, and the constant-temperature dehumidification performance and the user experience under the high-humidity and cold working condition are remarkably improved.