19012 results about "Servo" patented technology

The invention discloses a wind turbine generator hoisting construction tower drum operation system and a construction method thereof, and relates to the technical field of intelligent control. The problems that in the prior art, a static tension balance mechanism cannot restrain bending moment abrupt change, steel-concrete interface stress concentration causes microcrack propagation, the wave dynamic load compensation capacity is insufficient, and dynamic rigidity attenuation early warning is lacked are solved. Comprising a dynamic load prediction module, a multi-mode vibration suppression module, an offset compensation module and a digital twinborn decision module, a hoisting load is solved in real time through a multi-physics field coupling model and an improved time sequence deep learning algorithm, and interface crack propagation is suppressed in combination with traveling wave offset control and sweep frequency vibration. An improved Morison equation is adopted to drive a two-stage hydraulic servo to compensate a wave dynamic load, and a digital twin closed-loop correction mechanism is constructed based on a 5G URLLC protocol; the tower drum hoisting precision, the structural safety and the operation reliability under the complex working condition are remarkably improved.

The invention provides a color steel plate coating flatness evaluation method and system based on artificial intelligence. According to the method, the three-dimensional point cloud data is generated by collecting the interference fringe image, and the surface fluctuation characteristics are quantified; capturing a multi-dimensional vibration spectrum of the transmission roller shaft, generating a servo motor compensation control signal, driving a multispectral scanning head to perform reverse displacement compensation, and generating real-time compensation data; inputting the surface topography features in the three-dimensional point cloud and the real-time compensation data into a lightweight convolutional neural network, and outputting fusion features; and dynamically classifying and identifying surface defects and uneven areas based on the fusion result, adjusting a classification threshold in combination with the speed of the production line, outputting a flatness evaluation result, and synchronizing the flatness evaluation result to a speed regulation system of the production line to realize closed-loop optimization. According to the method, laser interference, vibration compensation and lightweight AI technologies are fused, dynamic high-precision evaluation of the surface flatness of the color steel plate of the high-speed production line is achieved, and the problems of defect misjudgment and measurement distortion caused by vibration interference are solved.

The invention relates to the technical field of program control, in particular to a servo position control method and system applied to an engraving and milling machine. The method comprises the following steps that real-time temperature data and real-time load data of lead screws of all shafts in the engraving and milling machine are obtained; collecting multi-node temperature distribution data of the engraving and milling machine; obtaining cutting force data and resonant frequency characteristic values in the engraving and milling machine; constructing a screw rod reverse clearance prediction model based on the real-time temperature data and the real-time load data of the screw rod, and generating a clearance compensation value; performing pre-compensation control before the servo position direction of each axis is changed based on the clearance compensation value to obtain a correction position instruction; and performing thermal deformation simulation on the engraving and milling machine based on the multi-node temperature distribution data to generate thermal deformation compensation amounts of all shafts. Through multi-source data fusion and intelligent control, comprehensive optimization of the servo position system of the engraving and milling machine is achieved, the machining precision, dynamic response and stability are effectively improved, and efficient and reliable operation of high-speed and high-precision machining is guaranteed.

The invention relates to the technical field of body-equipped intelligent robots, in particular to a multi-mode body-equipped intelligent robot control method and device, and the method comprises the steps: synchronously collecting visual, auditory, tactile, force sense and body perception information, and unifying the information to the same time-space reference through a cross-mode time-space stamp alignment mechanism; hierarchical feature extraction and fusion are carried out on the multi-modal information, and unified multi-modal scene state representation is generated; reasoning a decision based on the representation by using a body agent framework, and outputting a control instruction; motion planning and control, visual servo tracking in a non-contact stage and dynamic parameter correction in a contact stage are executed according to instructions; optimizing the multi-modal strategy network through an incremental strategy distillation mechanism based on the interactive data flow; the problem of space-time asynchronization of multi-modal sensing information is solved through a cross-modal space-time stamp alignment mechanism.

The invention relates to the technical field of industrial automation control, and discloses a change gear assembly processing technological parameter intelligent optimization system, which comprises a multi-dimensional data synchronous acquisition unit, an angular domain static map construction unit, a phase lead constraint control unit and an angle trigger execution unit, according to the method, a static angle-load topological graph with a main shaft angle as an index is established, a phase lead angle is calculated by combining inherent physical response lag time of a servo system, and a parameter adjustment instruction sequence is directly injected into a servo current loop at a preset angle window before physical load impact occurs; according to the feed-forward control mechanism based on angular domain reconstruction and phase lead constraint, the problem of physical lag of traditional time domain feedback control in response to high-frequency intermittent cutting is avoided, and zero time difference of periodic load impact and even pre-judgment torque compensation are achieved.

The invention discloses a servo motor dynamic overload detection and protection method based on a heat accumulation model, which relates to the technical field of servo system fault protection application, and comprises the steps of constructing a heat accumulation equivalent model, dynamically detecting an overload state, executing a heat dissipation recovery strategy, implementing a multi-stage protection mechanism, self-adaptive environment compensation and a historical data learning function. Through discretization processing of overload curve data and a nonlinear acceleration calculation strategy, the problems of protection lag and false triggering caused by traditional single-parameter detection are avoided, it is ensured that the motor can respond in time in light load, heavy load and load fluctuation scenes, the burn-out risk of the motor is reduced, and through integration of an environment temperature sensor and a heat dissipation condition evaluation unit, the reliability of the motor is improved. The heat accumulation coefficient and the heat dissipation attenuation parameter are dynamically adjusted, the problem of model deviation caused by environment interference is solved, when heat dissipation deterioration and temperature feedback abnormity are detected, the heat dissipation recovery period is automatically prolonged, calculation logic is corrected, and the continuous operation reliability of the system is improved.

The invention relates to a dynamic cooperative path planning and autonomous landing control method for an unmanned aerial vehicle and an unmanned ship, and the method comprises the following steps: collecting the state data of the unmanned ship and the unmanned aerial vehicle and the high sea condition environment data, and carrying out the data fusion processing; an improved fast extended random tree algorithm is adopted to plan a safe navigation path for the unmanned ship, the generated path of the unmanned ship is optimized based on an unmanned ship motion model considering environmental interference, and a model prediction control algorithm is adopted to plan a path for the unmanned ship to fly to a predicted landing point of the unmanned ship. Dynamic cooperation between the unmanned ship and the unmanned aerial vehicle is realized through information interaction between the unmanned ship and the unmanned aerial vehicle; the unmanned aerial vehicle recognizes an unmanned ship landing identifier through a visual servo guide system, calculates the position and attitude deviation relative to a landing point, adjusts flight control parameters according to interference conditions by using an adaptive control algorithm, and performs trajectory prediction compensation in combination with an unmanned ship motion model to realize autonomous landing. Compared with the prior art, safe landing of the unmanned aerial vehicle on the unmanned ship under the high sea condition is achieved.

Disclosed in the present invention is an output feedback control method for a pilot-operated electro-hydraulic proportional servo valve considering disturbance suppression. According to the control method, a nonlinear active disturbance rejection controller with both disturbance suppression and unknown state estimation is designed on the basis of a constructed disturbance observer in combination with an extended state observer. To address the problem of a valve core position control system of the pilot-operated electro-hydraulic proportional servo valve, the present invention not only ensures suppression of matched interference in the system, but also compensates for mismatched interference in the system, and utilizes a state observer to estimate unmeasurable state variables, so as to construct full-state feedback control, thereby ultimately achieving high-precision tracking control of the valve core position.

The invention provides an intelligent control method and system based on electro-hydraulic linkage. The method comprises the steps that multi-mode environment parameters are collected, a digital twin environment model is constructed, and data are synchronized with an electro-hydraulic servo system in real time. And establishing a nonlinear model, identifying parameters by using a least square method and a recursive least square method, verifying the precision through a step response test, and updating. And constructing an adaptive LSTM neural network inverse model to output a control voltage signal. And the signal is subjected to weighted fusion with the output of a PID controller, and the PID controller dynamically adjusts a gain parameter according to an error integral term to generate a control instruction to drive the system. According to the invention, the LSTM inverse model provides feed-forward compensation, the PID controller realizes feedback correction, and the LSTM inverse model and the PID controller are complementary. Meanwhile, based on a related nonlinear model and a parameter self-adaptive updating mechanism, the influence of working condition change is accurately described, and high-precision control of the electro-hydraulic servo system under the complex working condition is achieved.

The invention relates to the technical field of robot control, in particular to a robot motion control method, a robot and a system. The method comprises the following steps: acquiring depth information and color information of a current scene and visual textures and geometric features of a target object through an RGB-D camera, and generating a local environment map; introducing a motor current sampling value, correcting the material category of the target object, and determining an initial set value of the clamping force; the corrected joint torque estimated value is converted into a tail end force corrected value through a mechanical arm jacobian matrix; and on the basis of the force control weight and the position control weight, position control output and impedance force control output are calculated respectively, and a final control instruction is generated in combination with the clamping force initial set value and the tooth space compensation item. A harmonic compensation function based on the joint position, the speed and the current is constructed, periodic torque disturbance caused by the cogging effect of the servo motor is effectively restrained, the tail end force estimation is closer to the real acting force, and the clamping control stability is improved.

The invention provides a dynamic control method and system for hot-pressing plugging process parameters of a network cable end electronic wire, which realizes real-time optimization of the process parameters through a dynamic compensation technology, dynamically calculates an initial heating temperature and a riveting depth based on a wire diameter, an insulating layer thickness, a copper alloy hardness and an environment temperature, and realizes the hot-pressing plugging process parameters of the network cable end electronic wire. A compensation formula is combined with a conductor diameter compensation coefficient, a hardness compensation coefficient and an environment temperature compensation coefficient, heating temperature fluctuation and riveting pressure displacement deviation are monitored in real time, Z-axis displacement is adjusted by controlling a servo motor, a temperature-pressure coupling compensation model is established, and heating power and riveting pressure are dynamically corrected. And the online quality detection module corrects subsequent batch parameters in a self-adaptive manner at a learning rate eta = 0.2 through continuous five batches of data, so that the riveting depth precision and the connection strength are ensured to reach the standard, intelligent dynamic control of the hot-pressing plugging process is realized, and the product percent of pass and the production efficiency are improved.

The invention discloses a radial forging machine chuck rotation oscillation braking electro-hydraulic control system and method, and the control system comprises a position detection encoder installed on a hammer head of a forging main machine, a hydraulic servo motion controller, a high-frequency servo valve, an oscillation braking oil cylinder with the same area as an A cavity and a B cavity, and an oscillation braking device with a worm gear and a worm. The pressure sensor and the displacement sensor are integrated on the oil cylinder to form a closed-loop control loop; the control method comprises the following steps: activating an oscillation braking function and collecting hammer phase, oil cylinder pressure and displacement signals in real time; a sine control signal synchronous with the forging frequency is generated based on the brake phase of 270-360 degrees; a brake oil cylinder is driven to push the worm to axially move, and the rotating speed of the chuck is modulated through the helix angle characteristic; and the amplitude is dynamically adjusted through a displacement-pressure feedback signal, and 25MPa overrun protection is executed. The purposes of reducing the brake response delay rate, the forge piece distortion rate and the equipment impact load are achieved, and 90-620 times / min wide-frequency-domain forging is supported.

The invention relates to a course axis drift suppression method and device, a holder and a medium, and the method comprises the steps: receiving original data of a current course, the original data comprising an absolute angle outputted by a course encoder, and an acceleration and an angular velocity outputted by an IMU module; the original data are converted into a unified coordinate system through a rotation matrix, and mechanical installation deviation is compensated; performing data fusion on the compensated original data through a preset fusion algorithm; and outputting the fused absolute angle to a servo mechanism of the holder, and by adopting the method, through real-time sensor data alignment, a dynamic compensation algorithm and a fusion algorithm, a course drift suppression mechanism which is resistant to dynamic interference and low in cost is constructed, and static drift lt can be realized; the dynamic tracking error is 1t, 0.01 degree / h and 1t; and the technical index is 0.05 degree.

The invention discloses an air-ground multi-mode cross-domain robot system with a clutch structure and a control method. The air-ground multi-mode cross-domain robot system comprises a machine body, wings, clutch assemblies and rotor assemblies. The aircraft body drives the connecting rod mechanism through the steering engine to control the bilateral wings to move. Rotor driving motors, wheels and transmission gear sets are integrated on the wings, and motor power can be distributed to wheel driving shafts and propeller shafts. The clutch assembly is connected with a motor and a propeller shaft through a ratchet wheel meshing mechanism, and power on-off control is achieved, in the ground running process, a clutch is separated to stop rotation of a propeller, power is fully output to wheels to serve as driving wheels, and in the flight mode, the clutch is meshed to synchronously drive rotors and the wheels. According to the system, bimodal power distribution is achieved through a single motor, a driving wheel motor does not need to be additionally arranged, the structural complexity is effectively reduced, the moving speed and controllability are remarkably improved through the ground mode propeller static design, the advantage of cross-domain operation is achieved, and the system is suitable for complex task scenes.

The invention relates to the technical field of orchard automatic navigation deviation correction, in particular to an automatic navigation deviation correction system for an orchard track power platform. Comprising a chassis, a vehicle control unit, a navigation system vehicle-mounted computer, a laser radar, a navigation control box, a navigation antenna, a steering motor, a differential planetary mechanism, a rotating speed sensor, an edge architecture control box, a driving wheel assembly, a servo valve and a steering pump. The mode that the whole vehicle controller regulates and controls the servo valve to conduct deviation rectification is adopted, the deviation rectification response speed is high, the control precision is high, the high-speed operation working condition of the orchard power platform can be adapted, and the operation efficiency is improved; the swash plate plunger steering pump is adopted to drive the steering motor, the driving power is small, the heat balance stability is good, and the cost is low; the differential steering mechanism is adopted as a deviation rectifying executing mechanism, the transmission efficiency of the power platform is not affected, the steering line type is controllable, steering is stable, the overcorrection phenomenon is effectively avoided, the automatic navigation operation precision is effectively improved, and the automatic navigation deviation rectifying stability of the orchard power platform is improved.

The invention relates to the technical field of intelligent forming, in particular to an intelligent adjusting type medical cotton ball forming method and system.The intelligent adjusting type medical cotton ball forming method comprises the following steps that pressure data are collected through a distributed pressure sensor array, pressure feature vectors are generated through Gaussian filtering denoising, a pressure change trend is analyzed based on the feature vectors, and a gradient adjusting instruction is output; and controlling the valve to adjust air pressure to obtain compensation parameters, driving the servo motor to adjust a mold gap, collecting offset data to generate a feedback signal, and inputting a neural network to evaluate a forming result in combination with feedback and adjustment instructions. According to the method, a distributed sensor array collects data, multi-dimensional denoising improves feature extraction, a dynamic function analyzes a pressure trend, an offset adjustment parameter is identified, closed-loop compensation is realized through cooperative control, a displacement sensor feeds back gap change, parameter modeling optimizes precision consistency, a convolutional network extracts time sequence features, and a self-adaptive system is constructed through fusion analysis. And intelligent prediction and optimization of the forming quality are realized.

The invention provides a magnesium alloy electric drive main shell mold machining precision control method and system, and belongs to the field of precision numerical control machining. The method comprises the steps that dynamic milling force, key point temperature and position signals of all shafts are synchronously collected through a multi-source sensor; a recursive least square method is adopted to identify the dynamic rigidity and damping coefficient of the tool-workpiece system on line, and the thermal deformation drift distance is calculated in combination with a temperature signal; predicting a three-dimensional deformation error vector in real time based on the dynamic model, thermal deformation and geometric errors, and constructing a space compensation field; macro motion compensation is achieved by modifying numerical control program coordinate points, and meanwhile high-frequency micro-amplitude compensation is conducted through a spindle tail end fast tool servo system. And establishing an adaptive disturbance observer to perform online estimation on unmodeled disturbance and feed-forward compensation, and realizing online self-tuning of model parameters in combination with in-situ measurement feedback. Real-time sensing, full-band dynamic compensation and closed-loop self-adaptive control of multi-source errors are achieved, and the machining precision and long-term stability of the mold are remarkably improved.

The invention relates to the technical field of underground engineering groove wall stability physical simulation, and discloses a model test device and method for stratum excavation and grouting reinforcement, and the model test device comprises a grooving construction module, a grouting support module and a dynamic monitoring module. The device adopts a pressing plate method to simulate a grooving excavation process, so that the device conforms to an actual excavation working condition from top to bottom; a servo motor drives a power lead screw to drive a model groove to move downwards, so that a free face is formed in a sand layer, and the actual excavation working condition is simulated; a water tank for storing fresh slurry is pressurized by using an air compressor, so that the slurry overflows from the hollow model groove section, and the permeation and invasion process of the slurry is simulated; and a water and soil pressure gauge and a matched acquisition device are arranged in the sand layer, and a soil displacement field is obtained by utilizing a particle image velocity measurement system, so that the visualization of the whole process of excavation-grouting-invasion is realized. It is ensured that simulation results are highly matched with actual working conditions, and accuracy and reliability are improved.

The invention relates to the technical field of unmanned aerial vehicle control, and discloses a high-precision hovering system and method for an omni-directional flying robot, and the method comprises the steps: collecting the connection state of a module assembly, and allowing a flying action when the connection state is judged to be normal; collecting GNSS signal intensity of the positioning sensor, determining a positioning decision mode according to the GNSS signal intensity, and generating flight attitude control data according to the positioning decision mode; according to the flight attitude control data, the flight attitude of the flying robot is adjusted based on closed-loop PID control of a harmonic reducer and a servo motor; obtaining predicted wind speed data, determining disturbance torque, and performing feed-forward compensation on the flight attitude according to the disturbance torque; and controlling the central double rotors of the flying robot to continuously operate, and controlling the outer side rotors in the flying robot to start and stop based on Q-learning. According to the invention, the anti-wind hovering performance is guaranteed, the energy utilization rate is improved, and the environmental adaptability, the anti-wind stability and the cruising ability of the aircraft are enhanced.

The invention provides an exoskeleton man-machine motion intention cooperative control method and device and a storage medium, and relates to the technical field of robot motion control signal processing. According to the method, signal phase differences are acquired through energy buttons at human joints, and an original phase difference sequence is formed and preprocessed; calculating a cross correlation coefficient of the target and the associated joint based on the preprocessed sequence, and constructing a motion feature set in combination with the joint speed and acceleration; constructing a prediction model by using a long-short-term memory network, and outputting motion intention and joint position prediction information through multi-feature fusion training; and analyzing the prediction information by adopting a second-order linear impedance model, generating a driving torque instruction and sending the driving torque instruction to the servo motor for execution. According to the method, signal phase difference analysis, LSTM prediction and impedance control are fused, the problems of response lag and poor adaptability of a traditional exoskeleton are solved, the control real-time performance, accuracy and cooperative fluency are improved, and the use requirements of different users in different scenes are met.

The invention relates to the technical field of automatic control, and discloses a control method and system for an injection molding process of automotive trim. The method comprises the following steps: synchronously acquiring a pressure pulsation signal, flow velocity distribution data and flow front position information of a plastic melt through a high-frequency pressure pulsation sensor array and a melt flow velocity sensor, and performing fast Fourier transform processing on the pressure pulsation signal to obtain a characteristic frequency component; a flow impedance coefficient and a shear stress distribution parameter are calculated in combination with flow velocity data, the impedance coefficient is compared with a reference value to identify an abnormal type, a pressure compensation amount is calculated through a classification compensation algorithm, and finally a servo hydraulic execution system carries out rapid pressure adjustment. The technical problem that the flow impedance characteristic change of the plastic melt cannot be recognized in real time and the injection pressure cannot be dynamically compensated in the existing automotive trim injection molding process is solved.

The invention relates to the technical field of intelligent oil injection control, in particular to a limited slip differential gear oil performance directional optimization method and system.The limited slip differential gear oil performance directional optimization method comprises the following steps that the temperature rise rate is collected through a temperature sensor to calculate the gear shaft elongation, and a meshing clearance trend vector is generated by combining differential temperature time sequence analysis; the stability correction is calculated by fusing oil film thickness data, the injection angle compensation driving servo motor is solved based on vector projection, the adhesion factor index is constructed by coupling the oil injection feedback and the oil film difference, the oil product meeting the tension condition is switched when the limit is exceeded, and the lubrication recovery performance is evaluated. According to the method, gear shaft temperature rise and differential mechanism temperature gradient data are collected in real time, meshing clearance accurate prediction is achieved by combining expansion coefficient analysis, stability judgment is improved by fusing oil film thickness data, jet precision is optimized based on a vector projection dynamic compensation jet angle, and an adhesion factor index containing a phase difference is constructed to achieve lubrication attenuation early warning. And oil products are accurately switched by dynamically matching tension and viscosity threshold values, so that friction loss is reduced.

The present application discloses a coaxially integrated servo motor pump with integrated drive control functions, comprising a motor pump housing, a controller housing, and an electrical connector. The motor pump housing is provided with a blind hole, a first cavity for accommodating a plunger pump assembly, and a second cavity for accommodating a servo motor assembly, wherein the plunger pump assembly and the servo motor assembly are connected via a rotating shaft. The controller housing is connected to one end of the motor pump housing, and a drive controller is provided within the controller housing. The blind hole communicates with the second cavity, and the electrical connector is sealed and connected to the blind hole, and the electrical connector is electrically connected to the servo motor assembly and the drive controller. The distribution plate and the sealing assembly are respectively sealed with both ends of the motor pump housing. Cooling is achieved through a cooling oil channel, which connects from one end of the motor pump housing near the plunger pump assembly to the second cavity and then divides into two paths, one path passing through the center of the rotating shaft, and the other path connecting to the first cavity and passing through the distribution plate. The coaxial integration of the drive control functions is achieved, and the cooling effect is good.

The invention relates to the technical field of motor control, in particular to a control and parameter intelligent optimization method for an anti-impact high-precision PMSM (permanent magnet synchronous motor) feeding servo system, which comprises the following steps of: S1, establishing a physical structure and a dynamic model of a PMSM driving feeding system; s2, designing a variable gain fractional order super-spiral sliding mode controller VGFSTSMC, realizing finite time convergence of position tracking errors by dynamically adjusting and controlling gain coefficients, and inhibiting system jitter; s3, designing an adaptive sliding mode disturbance observer ASMDO, and estimating and compensating unknown disturbance in real time through adaptive gain adjustment and an integral sliding mode surface; s4, identifying a system Stribeck friction model based on a least square method, and inputting the system Stribeck friction model as a friction feedforward compensation FFC to a current loop to reduce the disturbance uncertainty of the system; s5, dynamically adjusting and optimizing control parameters of the VGFSTSMC and the ASMDO by adopting an optimization algorithm so as to minimize a root-mean-square value RMSE of a position tracking error and a maximum instantaneous error; and S6, VGFSTSMC, ASMDO and FFC are combined with an optimization algorithm, and the PMSM is driven to realize high-precision position control.

The invention discloses a steering engine accurate control method and system based on an optimization control algorithm, and the system comprises a data collection module which collects key working parameters of a steering engine in real time through a plurality of sensors, and carries out the data processing, thereby forming a state vector; the self-adaptive filtering module is used for carrying out self-adaptive filtering fusion processing on the data acquired by the sensor and dynamically estimating the attitude angle and the corresponding angular velocity of the aircraft; the sliding mode control module constructs a sliding mode surface and a control rate of a steering engine system according to the dynamic error of the system, calculates control input of each axis of the aircraft according to the attitude angle real-time state error, and generates a sliding mode control signal; the driving execution module is used for converting the control signal into a voltage or PWM signal and inputting the voltage or PWM signal into a steering engine, so as to change thrust and realize adjustment and control of a posture or a position; and the real-time feedback module monitors the current state of the steering engine in real time to realize dynamic correction and real-time optimization. The adaptive filtering and sliding mode control method provided by the invention is higher in control precision, quicker in system response and higher in adaptability to complex environments, and can effectively improve the application performance and stability of a steering engine execution system in the fields of industrial automation, aerospace, intelligent manufacturing and the like.

The invention relates to the field of hydroelectric generation automation control, discloses an intelligent flow-pressure double closed-loop control method and system for a water inlet ball valve of a water turbine, and aims to solve the technical problems that flow stability and pressure fluctuation suppression are difficult to consider, dynamic response is delayed and working condition adaptability is poor in existing single-loop control. The method comprises the steps that inlet pressure and flow data are collected in real time through a pressure sensor and an ultrasonic flowmeter, a cascade structure of outer ring flow control and inner ring pressure control is constructed in combination with working condition parameters such as the rotating speed of a unit and the opening degree of a guide vane, and a working condition self-adaptive weight distribution module is introduced to dynamically adjust the double-ring gain coefficient; meanwhile, a feed-forward compensation mechanism and an optimal efficiency curve database are fused, and dynamic matching of set values and advanced response of load instructions are achieved. The system comprises a data acquisition unit, a double-closed-loop control unit, a weight distribution unit, an electro-hydraulic servo execution mechanism and a safety interlocking module, and supports microsecond-level gain updating and high-precision valve position control. According to the technical scheme, the adjusting precision and the response speed of the water turbine under the complex working condition are remarkably improved, the actual measurement efficiency is improved by 2.5%-4.8%, the adjusting time is shortened to be within 3 seconds, the positioning precision reaches + / -0.5 degree, and safe and stable operation of the system is guaranteed.

The invention relates to the field of servo motor parameter optimization, in particular to a magnetic field simulation and parameter optimization method and system for a permanent magnet servo motor rotor. The method comprises the following steps: acquiring a rotor global magnetic field monitoring curve in the operation process of a servo motor rotor, and constructing a global magnetic field accurate compensation model; performing regional magnetic circuit structure analysis on the global magnetic field accurate compensation model, performing dynamic magnetic field logic mapping modeling, and constructing a real-time regional magnetic field logic map; performing magnetic field state change analysis on the global magnetic field accurate compensation model, performing multi-node change track correlation analysis, and constructing a multi-node magnetic field coupling dependency network; and performing short-term magnetic field evolution prediction based on the multi-node magnetic field coupling dependency network, and performing comprehensive electromagnetic performance evaluation to obtain an electromagnetic performance evaluation report. According to the method, the sudden change of the magnetic field is accurately and quickly identified, so that the magnetic field parameters are iteratively adjusted and optimized, and the service life and the performance of the servo motor are improved.

The invention belongs to the technical field of intelligent control of electric submersible pumps, and discloses a ground control system and control method of an electric submersible pump. A sensor module of the system is used for collecting operation data of the electric submersible pump in real time; the intelligent calculation module is used for analyzing and calculating the collected real-time operation data of the electric submersible pump to obtain optimized control parameters; the control execution module is used for generating a corresponding instruction according to the optimized parameters and accurately adjusting the steering, rotating speed and stroke parameters of the servo motor; the real-time monitoring and feedback optimization module is used for monitoring the system state after execution of the control execution module in real time and judging whether system operation is abnormal or not according to a real-time monitoring result; and the alarm optimization adjustment module is used for dynamically optimizing the control strategy of the electric submersible pump based on the parameter abnormal condition fed back by the real-time monitoring module after the abnormal state of the system is detected. The control efficiency of the electric submersible pump is effectively improved, and the problem that in the prior art, a control method is low in efficiency is solved.

The utility model discloses an auxiliary tension bracket for slitting and cutting a silicon steel coiled material, which belongs to the technical field of slitting machine tension brackets, and comprises a slitting machine, a cutter arranged on the slitting machine, support frames arranged at one end of the slitting machine and oppositely distributed, and a support seat arranged between the two support frames, limiting rollers and positioning blocks used for supporting are distributed at the upper end of the supporting base at equal intervals, supporting plates are fixedly installed at the upper ends of the positioning blocks, and an adjusting mechanism is arranged between the two supporting frames. A metal plate is conveyed to the supporting plate through the slitting machine, the servo motor is started to drive the two-way lead screw to rotate, the oppositely-distributed movable plates are made to be close to each other till the limiting rollers are close to the side edge of the metal plate, and at the moment, the slitting machine continues to convey the metal plate. And the tension bracket is fast to adjust, manual approaching is not needed, and potential safety hazards caused by approaching of workers to mechanical equipment are avoided.

The invention relates to a method, a device and equipment for detecting surface defects of a die casting. The method comprises the following steps: controlling a servo motor to drive a rotating device according to a planned scanning path, and driving a scanning camera carried on the rotating device to rotate through the rotating device so as to carry out three-dimensional point cloud acquisition on the die casting to obtain a target point cloud of the die casting; the target point clouds are all or part of point clouds in a to-be-detected area of the die casting; calculating the curvature of each point in the target point cloud, and extracting points of which the curvatures are greater than or equal to a preset curvature threshold value from the target point cloud to obtain a set of high-curvature points; clustering the set of the high curvature points to obtain a defect point cluster; and determining the size of the defect area of the die casting according to the maximum value and the minimum value corresponding to the defect point cluster on the three coordinate axes in the three-dimensional coordinate system. According to the method, the accuracy of surface defect detection of the die casting can be improved.