2015 results about "Servo drive" patented technology

The invention relates to the technical field of intelligent control, provides a flow regulating valve servo force control method and system based on a force sensor, and aims to solve the technical problems of response delay, weak overshoot suppression capability and poor long-term operation stability. The method comprises the following steps: acquiring a servo driving current data set and a valve displacement track data set of a target regulating valve; performing pressure feature mapping processing on the servo driving current data set to generate a pressure fluctuation feature set corresponding to the driving current waveform data; the pressure fluctuation characteristic set and the valve displacement track data set are input into a preset force control decision model for dynamic matching processing, and a servo control instruction set is generated; executing multi-stage dynamic adjustment operation on a servo driving unit of the target adjusting valve according to the servo control instruction set, and generating real-time pressure balance state data; and iteratively updating the dynamic matching processing parameters of the force control decision model based on the deviation value of the real-time pressure balance state data and the preset pressure reference value.

The invention discloses an intelligent photoelectric theodolite aerial target positioning and tracking system, which relates to the technical field of photoelectric detection, and comprises a multi-mode photoelectric sensor module integrating visible light, infrared thermal imaging, a laser radar and a polarized light sensor and supporting spectrum adaptive switching; the dynamic noise suppression processing module is used for eliminating environmental interference based on a time-space domain hybrid filtering algorithm; the multi-target tracking control module adopts a time-sharing partition scanning strategy and a graph neural network data association algorithm; the anti-interference servo driving module is used for realizing stable tracking under strong disturbance through inertial navigation-visual fusion compensation; and the edge computing platform is used for deploying a lightweight deep learning model to complete target recognition and trajectory prediction. According to the invention, through interdisciplinary collaboration of quantum dot materials, graph neural networks and physical equation constraints, the bottleneck of a single technology is broken through; and through closed-loop optimization of dynamic anti-interference and edge intelligence, full-link enhancement of'perception-decision-execution 'is realized.

The invention provides a numerical control machine tool dynamic precision control method and system based on multi-axis linkage error compensation, and relates to the technical field of mechanical manufacturing, and the method comprises the steps: collecting shaft system motion parameters and real-time cutting load parameters of a multi-axis numerical control machine tool in a linkage machining process in real time; shafting motion parameters comprise displacement, speed and acceleration of each feed shaft, and cutting load parameters are obtained through inversion of main shaft current and servo driving torque; calculating a dynamic following error of each feed shaft in a linkage state based on the shaft system motion parameters; and carrying out load coupling correction on the dynamic following error by fusing real-time cutting load parameters to obtain an initial multi-axis linkage dynamic error. According to the invention, real-time precision control in the high-dynamic machining process can be realized.

The invention belongs to the technical field of automatic assembly, and discloses an automatic assembly system and method for a large nut of a water turbine ball valve, and the system comprises a mechanical arm, an end effector and an intelligent nut tightening control system. The end effector integrates an electromagnet adsorption mechanism, a servo drive rotating mechanism, a floating compensation mechanism and a visual recognition mechanism, nuts of different specifications are grabbed in a self-adaptive mode through an electromagnet, submillimeter-level accurate positioning is achieved through a laser galvanometer stereo camera, and the assembling posture is automatically adjusted in combination with the floating compensation mechanism. The intelligent control system adopts a staged tightening strategy, performs real-time monitoring through a torque sensor, and has a dual protection mechanism. The hydraulic turbine ball valve large nut assembling machine achieves full-automatic assembling of hydraulic turbine ball valve large nuts, has the advantages of being high in assembling efficiency, high in positioning precision, high in adaptability, reliable in quality and the like, solves the problems that manual assembling is large in labor intensity, many in potential safety hazards, poor in quality consistency and the like, and remarkably improves the assembling quality and efficiency of key parts of a hydropower station.

The invention discloses a calibration system and method for a point laser module pointing to a center, and relates to the technical field of optics. The system comprises a basic positioning unit, a sensing feedback unit, a motion control unit and an auxiliary positioning device. The basic positioning unit comprises a six-degree-of-freedom module carrying platform and a high-precision displacement platform; the sensing feedback unit comprises a multi-axis attitude sensor array and a contact type probe group; the motion control unit comprises a multi-axis motion controller and a servo driving module; the auxiliary positioning device comprises a reference calibration assembly and an environment compensation module. According to the method, the contact probe extends out to be in contact with the standard ball target, an initial coordinate system reference is established, the environment is monitored in real time, the three-dimensional attitude and environment parameters are synchronously input into the LSTM prediction model, the real-time compensation amount is generated, the measurement light path is constructed, sub-pixel-level center locking is achieved through moire fringe verification, and the calibration precision is improved.

The invention relates to the technical field of target tracking, in particular to a photoelectric tracking algorithm and system for self-adaptive target tracking, and the system comprises an image collection module, a cross-spectrum self-adaptive sensing module, an image processing and target recognition module, a self-adaptive tracking algorithm module and a servo control module, and constructs a closed-loop feedback link to achieve the synchronous optimization of parameters in a whole link. The algorithm comprises the steps of image acquisition and adjustment, target detection, parameter optimization, servo driving and feedback. The system can accurately estimate a high-speed turning target, is adaptive to complex environments such as low illumination / haze and the like, completes sheltered target recapture within 0.5 s, has servo compensation precision of + / -0.1 degree, is suitable for airport bird monitoring, port unmanned aerial vehicle tracking and highway vehicle monitoring scenes, and significantly improves tracking stability and practical value.

The invention discloses a servo control method and system based on a PLC. The method comprises the steps of track data acquisition, interpolation instruction generation, control instruction output, state information acquisition, synchronous error evaluation, error compensation, track continuity control and the like. Wherein the PLC generates a multi-axis interpolation control instruction according to trajectory data issued by the upper computer, periodically issues the multi-axis interpolation control instruction to each servo driver through a high-speed timed task, collects feedback information in real time, and evaluates multi-axis synchronous deviation. On the basis, the PLC constructs an error vector and dynamically corrects interpolation parameters of the next period to realize synchronous control. Meanwhile, a buffer transition area is arranged at the track section switching position, acceleration and speed changes are adjusted, and it is guaranteed that the motion track is continuous and smooth. The system comprises a PLC, a trajectory data input module, an interpolation generation module, an error evaluation and compensation module and the like, has high real-time performance and high synchronization precision, and can improve motion coordination and system stability in complex trajectory execution.

The invention relates to the technical field of direct current motor servo drive control, and provides a Zynq AXI4 bus-based real-time transmission system and a control method thereof, and the system comprises a Zynq system on chip, a DDR3 common data area, an AXI4 bus interconnection architecture and a dynamic partition manager. By implementing the scheme, firstly, the multi-channel characteristic of the AXI4 bus is utilized, special transmission channels are distributed for different types of data, and parallel data interaction is realized; secondly, a dynamic partition manager is deployed at a PL end, a DDR3 public data area is dynamically divided into a plurality of partitions in real time according to needs, multi-task parallel is achieved, and the real-time performance of the system is improved; thirdly, the read-write operation on the DDR3 in each control period is split into a plurality of state machines through precise scheduling of the state machines, the state machines are combined into a state loop to be mounted to an AXI4 bus, it is ensured that key tasks are completed on time, and the certainty of the system is improved; fourthly, the size and the number of partitions in the DDR3 are dynamically adjusted through a dynamic partition manager, and the storage efficiency is improved.

The invention provides a multi-mode adaptive control method and system for a low-voltage servo driving system, and the method comprises the steps: obtaining the state parameters of the low-voltage servo driving system, and analyzing the mode switching conditions of the low-voltage servo driving system based on the working condition monitoring parameters and system state monitoring parameters in the state parameters; the mode switching condition comprises an event triggering condition and / or a performance triggering condition, judging whether the low-voltage servo driving system meets the mode switching condition or not according to an analysis result of the mode switching condition, and when the low-voltage servo driving system meets the mode switching condition, switching the low-voltage servo driving system to the mode switching condition. Configuring a basic control mode and a self-adaptive control mode of the low-voltage servo driving system according to the state parameters, and dynamically configuring controller parameters of the low-voltage servo driving system on the basis of the configured basic control mode and the self-adaptive control mode, the requirements for precision and robustness can be met at the same time under different working conditions.

The invention discloses a truck hub maintenance-free bearing all-condition simulation testing machine, which comprises a tool table, a servo driving system, a servo hydraulic system and a temperature control simulation system, and is characterized in that the tool table is provided with a tool seat and a main shaft movably arranged on the tool seat, and a to-be-tested bearing is detachably connected between the main shaft and the tool seat; the servo driving system is in linkage fit with the main shaft to simulate the actual operation condition of the bearing, the tool table is provided with a special-shaped load plate and a mandrel, the special-shaped load plate is in linkage fit with the mandrel, and the mandrel is inserted into an inner ring shaft hole of the bearing to be tested and is detachably connected with the inner ring shaft hole of the bearing to be tested. The servo driving system is in linkage cooperation with the special-shaped load plate to simulate the load working condition of the bearing during actual operation, and the temperature control simulation system is in linkage cooperation with the bearing to be tested to simulate the actual temperature working condition of the bearing. According to the invention, the problem that a test device for carrying out a multi-working-condition simulation test on a truck hub bearing is lacked in the prior art is solved.

The invention relates to the technical field of mining permanent magnet synchronous motor sensorless control, and particularly discloses a composite sliding mode control and adaptive phase-locked loop collaborative optimization method. Aiming at the technical bottlenecks of a traditional control strategy in the aspects of rotating speed fluctuation suppression, load disturbance compensation and rotor position observation precision, a collaborative architecture of a time-varying integral terminal sliding mode control module, a sliding mode disturbance observation module and a self-adaptive phase-locked loop module is constructed, so that the dynamic performance optimization of the system is realized. According to the method, through the dynamic coupling design of the time-varying gain nonlinear reaching law and the fast integral terminal sliding mode surface, the convergence speed and the buffeting suppression requirement are balanced while the disturbance dynamic influence is eliminated; multi-dimensional decoupling observation of external load disturbance is realized based on a hierarchical disturbance observer architecture, and a disturbance real-time suppression path is established in combination with a feed-forward compensation strategy; and constructing an error self-adaptive correction mechanism of rotor position observation by dynamically adjusting a phase-locked loop proportionality coefficient and a phase compensation parameter. The limitation of parameter solidification and observation coupling in traditional control is broken through, the rotating speed tracking stability, the position observation precision and the anti-interference capability under complex working conditions are remarkably improved, and an innovative solution is provided for a high-precision servo driving system.

The invention discloses a message extraction method and device, a servo system, a storage medium and a computer program product, and the method comprises the steps: capturing an interaction message between a motion controller and a servo driver, and obtaining initial message data; screening the initial message data, and retaining a communication message between the motion controller and the servo driver; performing format conversion on the screened initial message data to obtain analyzable message data; extracting data fields from the analyzable message data, wherein the data fields reflect information of instruction transmission, operation feedback and fault states between the motion controller and the servo driver; and performing format processing on the data field, and displaying the data field after format processing in a visual form. According to the scheme, efficient extraction, presentation and real-time monitoring of the message are realized by capturing the interactive message and performing screening, format conversion, data field extraction, format processing and visual display, and the debugging efficiency and troubleshooting speed of the servo system are improved.

The invention relates to a mechanical arm control system and method, and belongs to the field of mechanical arm control, and the control system comprises a microkernel controller which calculates the joint angle of each joint of a mechanical arm according to the difference value between the current position and the target position of the tail end of the mechanical arm and sends the joint angle to a servo driver; the servo driver is responsible for closed-loop control of a current loop and a speed loop, accurately executes the position instruction sent by the microkernel controller and feeds back the actual state of each joint to the microkernel controller in real time; the multi-degree-of-freedom mechanical arm serves as an executing mechanism, receives the joint movement instruction from the servo driver, and drives an end effector to achieve any specified pose and complex track in a three-dimensional space through cooperative movement of a plurality of joints; and the instruction unit is used for communicating with the microkernel controller and issuing the target position information of the end effector of the multi-degree-of-freedom mechanical arm to the microkernel controller. By adopting the control method of the control system, the control precision and reliability of the mechanical arm can be improved.

The invention discloses a three-port soft switching optical storage servo all-in-one machine based on device multiplexing and a modulation method. The all-in-one machine comprises a DC-AC servo driver, a low-voltage DC energy storage module, an auxiliary unit, a bus capacitor and a photovoltaic module. The DC-AC servo driver comprises three bridge arms, and each bridge arm is provided with a bridge arm upper tube and a bridge arm lower tube; the low-voltage direct-current energy storage module comprises an energy storage battery, an energy storage switch tube S7 and a direct-current energy storage inductor; the photovoltaic module comprises a photovoltaic power generation panel, a photovoltaic inductor, a photovoltaic switch tube S8 and a diode D1; the auxiliary unit comprises an auxiliary switch tube Sa, an auxiliary resonant inductor Lr and an auxiliary capacitor Cr. According to the invention, an integrated resonant soft switching architecture is innovatively adopted, zero-voltage / zero-current switching of all power switching devices is realized, and the problem of loss caused by a traditional hard switch is thoroughly solved; and by optimizing a device multiplexing technology, the number of switching tubes is greatly reduced while the soft switching performance is ensured, so that the system efficiency is improved in a breakthrough manner.

The invention discloses a chamfering machine for machining mechanical parts, and belongs to the technical field of chamfering machines, the chamfering machine for machining the mechanical parts comprises a fixed rack, and a sliding limiting mechanism is fixedly mounted in the center of the top of the fixed rack; a rotary limiting mechanism is fixedly mounted at the center of the top of the sliding limiting mechanism, a rotary feeding mechanism matched with the rotary limiting mechanism is further fixedly mounted at the top of the fixed rack, and two sets of symmetrically-arranged turning and chamfering mechanisms are slidably mounted on the two sides of the top of the sliding limiting mechanism correspondingly; a servo driving mechanism used for driving the two turning and chamfering mechanisms is installed at the bottom of the sliding limiting mechanism. According to the rotary feeding mechanism simple in design, the left feeding disc and the right feeding disc are controlled by the first servo motor to move, so that the conveying, machining pause and conveying and discharging processes are smoother, the machining pause time is shortened, and meanwhile the overall machining efficiency is improved.

The invention relates to a servo driver parameter self-tuning oscillation suppression compensation method and related equipment, and the method comprises the following steps: carrying out the multi-channel synchronous collection of an operation state signal of a servo motor, and obtaining a real-time dynamic response data flow; performing time-frequency domain conjoint analysis on the servo motor based on the real-time dynamic response data flow to obtain an oscillation characteristic parameter matrix; performing oscillation source identification on the servo motor based on the oscillation characteristic parameter matrix to obtain an oscillation excitation source classification matrix; performing compensation parameter calculation on the oscillation excitation source classification matrix to obtain a multi-dimensional compensation coefficient set; and performing real-time parameter updating adjustment on the servo driver based on the multi-dimensional compensation coefficient set to obtain a servo control output signal after oscillation suppression, thereby solving the technical problem that a traditional servo driver depends on a fixed parameter setting method, is difficult to adapt to a complex and changeable working condition environment, and cannot effectively suppress an oscillation phenomenon.

The invention provides a heat dissipation method and system for a servo driver based on artificial intelligence, and relates to the technical field of equipment heat dissipation, and the method comprises the steps: determining a plurality of initial heat dissipation installation points based on an infrared working video of the servo driver; determining a heat dissipation effect score of each point based on the infrared working video after the initial installation point is installed; determining multiple sets of subsequent heat dissipation mounting point schemes based on the heat dissipation effect score of each point and the infrared working video after the initial mounting point is mounted; based on the infrared working video of the servo driver, the infrared working video after the initial mounting point is mounted and the multiple sets of subsequent heat dissipation mounting point schemes, using a generation model to generate multiple sets of subsequent simulated infrared working videos; determining a target installation point scheme based on the plurality of sets of subsequent simulated infrared working videos; the heat dissipation equipment is installed based on the target installation point scheme, heat dissipation control is carried out based on the installed heat dissipation equipment, and the method can quickly and accurately determine the target installation scheme of the heat dissipation equipment.

The invention relates to the technical field of servo drivers, in particular to a servo driver control method, and the technical scheme comprises the steps: carrying out the online identification of load inertia and external disturbance through a self-adaptive observer, generating a dynamic compensation parameter, constructing a multi-model parallel self-adaptive observer group, and carrying out the online identification of the load inertia and external disturbance through the self-adaptive observer group, a dynamic confidence evaluation mechanism is designed, disturbance dynamic compensation is realized, parameter sudden change and slow change scenes can be taken into consideration, the real-time performance of dynamic response can be ensured, compensation parameters are input into a fuzzy neural network controller, an optimal control quantity is generated in combination with a preset control target, a multi-source compensation parameter input channel is constructed, and the optimal control quantity is generated. A dynamic input weighting module is designed, fuzzy rule confidence is updated through an online strategy gradient algorithm to generate an optimized control quantity, the working condition adaptability can be enhanced, a dynamic target can be dealt with, finally, a sliding mode variable structure algorithm is adopted to carry out high-frequency buffeting suppression on the control quantity, and a final driving signal is output to a power module. And the control precision of the servo driver is improved.

The invention relates to the technical field of control systems, in particular to a servo driver control system based on multi-modal fusion, and adopts the technical scheme that motor current, rotating speed and load torque signals are acquired in real time through a dynamic parameter identification module, so that the dynamic response speed of the system is increased; an extended state observer (ESO) is adopted to estimate unmodeled dynamics and disturbance through the nonlinear observer module, the observation precision and the real-time performance and adaptability of the system are improved, a hybrid algorithm of fuzzy PID and model predictive control (MPC) is integrated through the adaptive control module, the control precision of the system is improved, and the control precision of the system is improved. The anti-interference compensation module generates a dynamic compensation amount according to the output of the observer, the dynamic compensation amount is injected into a control loop, the anti-interference capability of the system is enhanced, the energy consumption optimization unit adjusts a PWM modulation strategy through an online efficiency optimization algorithm, and the energy efficiency of the system is improved.

The invention provides an intelligent pairing system of a wind power tower drum. The system is applied to the technical field of intelligent processing of wind power towers and comprises a measuring module and a motor self-control module. The measurement module is used for cylinder real-time point cloud surveying and mapping; the motor self-control module is used for controlling the advancing distance of the roller carrier according to the output of the measuring module; the measurement module comprises a cylinder spacing measurement unit and a motor control signal output unit, the motor self-control module comprises a motor position acquisition unit and a three-phase asynchronous motor self-control unit, and the motor position acquisition unit outputs a motor self-control signal to the three-phase asynchronous motor self-control unit. The three-phase asynchronous motor self-control unit outputs a motor control signal to the three-phase asynchronous motor; the motor position acquisition unit comprises a three-phase asynchronous motor encoder and a first servo driver, the three-phase asynchronous motor encoder provides a current motor operation distance parameter, the first servo driver controls the input of a motor control signal according to the current motor operation distance parameter, and the assembly efficiency of the wind power tower drum can be improved.

The invention provides a PLC unmanned truss control method and system, and relates to the technical field of truss control, and the method comprises the steps: S1, an upper computer inputs a target coordinate, a PLC generates a three-axis motion track based on an interpolation algorithm, and dynamically adjusts the speed curve of each axis; s2, the upper computer reads real-time state data of the PLC and writes a control instruction into the PLC according to the real-time state data; s3, if the sudden stop signal is detected to be triggered, cutting off the power supply of the servo driver, recording the fault type and the triggering time, generating a log file, and otherwise, entering the next step; s4, the PLC receives a task instruction of the upper computer, and motion parameters are dynamically adjusted according to feedback of the sensor; and S5, controlling each axis to micro-move through the upper computer, and recording the coordinates of the teaching points to generate a reproducible motion sequence. Through cooperative control of the PLC and the upper computer, a centralized management and decentralized execution mode is realized, and the risk of single-point failure is reduced.

The invention provides a logic separation type multi-servo-motor electric control system. According to the logic separation type multi-servo-motor electric control system, collaborative operation of high-precision control and data transmission is achieved through three independent loops. The system comprises a PC end computer, a control unit, an industrial bus, a servo driving unit, a logic unit and a controlled object. Wherein the first loop is formed by a PC end computer through a control unit, an industrial bus and a servo driving unit, and is responsible for transmitting a real-time control signal and position updating data; the second loop is returned to the PC end computer by the servo driving unit through the logic unit and is used for feeding back execution state data of the servo driver; and in the third loop, the controlled object is transmitted to the PC end computer through the logic unit, and real-time position signals and mechanical state data of the controlled object are transmitted. Through the logic layering and loop separation design, the control real-time performance, the data transmission reliability and the system expansibility of the system are remarkably improved, meanwhile, the signal interference during multi-task processing is reduced, and the system is suitable for a high-precision industrial automation scene.

The invention relates to the technical field of satellite communication, and discloses a vehicle-mounted station satellite dynamic tracking device and method.The technical scheme is characterized in that the theoretical satellite alignment angle pointed by an antenna is calculated, the antenna is driven to rotate to the angle for coarse alignment, and picture frame searching is started when effective satellite signals are not captured; a main tracking mode and an auxiliary tracking mode are switched in a self-adaptive mode according to the real-time vehicle speed, and servo driving parameters are dynamically adjusted based on the processed tracking deviation to drive an antenna to track a satellite in real time; compensating the tracking angle of the antenna in real time; when it is judged that the satellite is lost, the current angle to which the antenna should point is predicted, and conical scanning is executed with the predicted angle as the center to recapture satellite signals. According to the invention, the adaptive hybrid tracking mode switching, multi-dimensional error real-time compensation and'inertial navigation prediction + conical scanning 'rapid recovery cooperation mechanism is adopted, and high-precision, high-stability and rapid-recovery satellite dynamic tracking under complex road conditions and high-speed movement is realized.

The invention provides an optical silica gel part liquid forming automatic production taking-out device which comprises an injection molding machine rack, a three-plate mold set, a first material taking assembly, a second material taking assembly, a water gap taking and placing assembly, a master control system, a servo drive translation mechanism and a control screen. The three-plate mold set is correspondingly installed in the middle of the injection molding machine rack, and a truss is installed on the injection molding machine rack; the first material taking assembly and the second material taking assembly are installed on the truss and located on the two opposite sides of the three-plate mold set correspondingly, and the water gap taking and placing assembly is installed on the side, close to the first material taking assembly, of the truss. The control screen is installed on the portion, close to one side of the second material taking assembly, of the truss. A servo drive translation mechanism matched with the first material taking assembly and the second material taking assembly is installed above the injection molding machine rack in the length direction of the injection molding machine rack. The production efficiency is improved.

The invention relates to the technical field of soft package power batteries, and discloses a soft package module tab automatic bending and leveling device and method.The soft package module tab automatic bending and leveling device comprises a main body support serving as a device bearing framework; the bending assembly comprises a shifting piece, a servo driving unit and a first visual detection unit, the shifting piece is in transmission connection with the servo driving unit, and the signal output end of the first visual detection unit is in communication connection with the control end of the servo driving unit; the leveling assembly comprises a transverse rolling wheel and a longitudinal rolling wheel which are sequentially arranged in the flowing direction of the tabs, and the transverse rolling wheel and the longitudinal rolling wheel are each provided with an elastic pressing unit; and the second visual detection unit is arranged at the downstream station of the longitudinal roller, and the detection area of the second visual detection unit corresponds to the lap joint area of the tab. The defect that the bending effect is influenced due to product difference is compensated according to visual compensation, the tab is prevented from being pressed and deformed in the stretching and retracting process of the shifting piece, the tab is leveled in the transverse direction and the longitudinal direction, the tab is prevented from rebounding after being bent, and therefore it is guaranteed that the tab can achieve the smoother effect.

A symmetrical link servo driving device, relating to the technical field of servo motors. The symmetrical link servo driving device comprises a driving mechanism, an electric motor, a gear reduction mechanism and a servo shaft rocker arm mechanism, wherein the gear reduction mechanism is in transmission connection with an output shaft of the electric motor, a servo shaft rocker arm mechanism is provided on the side of the gear reduction mechanism facing away from the electric motor, the servo shaft rocker arm mechanism comprises a base body, a servo shaft is rotationally connected to an inner cavity of the base body, and a crank is provided at a shaft body of the servo shaft; a self-locking mechanism capable of locking the servo shaft is provided at the bottom of the inner cavity of the base body; and a driving mechanism is provided on one side of the electric motor, the driving mechanism comprises a housing, a lead screw is rotationally connected in the housing, and the lead screw is correspondingly in transmission connection with an output gear of the gear reduction mechanism. The present invention has a simple structure, and the electric motor and the driving mechanism are arranged in parallel to effectively reduce the overall volume, such that the whole device is compact and small. The self-locking mechanism capable of locking the servo shaft is provided at the bottom of the inner cavity of the base body, that is, when the servo shaft stops rotating, the servo shaft can be locked by means of the self-locking mechanism, thereby preventing an external force from being transmitted to the driving mechanism by means of the servo shaft.

The invention relates to the technical field of printing, in particular to a flexo printing machine control method and system based on machine vision. The method comprises the following steps: collecting surface image data of a printed matter in a motion state in real time, separating and identifying a preset printing feature region from the image data, and obtaining geometric feature parameters of the region relative to a reference position; generating a multi-axis cooperative position compensation instruction of the printing unit according to the deviation value of the geometrical characteristic parameter and a preset target characteristic; converting the position compensation instruction into an adjusting parameter of a servo driving system in real time, and dynamically adjusting the pressure of a printing roller of a printing unit and the displacement of a registration mechanism; and synchronously outputting a defect type judgment signal and correlating the adjustment parameter correction value based on the form change of the printing feature region in the updated image data. According to the method, the stability and the adjusting efficiency of the printing quality are improved, and the defects that a traditional method is lagged in response and inaccurate in adjustment are overcome.

The invention discloses an intelligent servo system control method for a double-spindle double-stand-column machining center, which comprises the following steps: step 1, acquiring operation state data of the double-spindle double-stand-column machining center, step 2, performing decoupling processing on double-spindle cooperative motion based on a multi-dimensional dynamic decoupling algorithm, and decomposing an independent control path of motion of each spindle; 3, through a self-adaptive interference compensation mechanism, a mathematical model of external interference factors is constructed, and a compensation signal is generated to compensate the influence of the external interference factors on the machining precision in real time; 4, dynamically adjusting control parameters of the servo system in combination with a parameter optimization strategy so as to adapt to different processing task requirements; 5, the optimized control signals are input into a servo driver, and accurate control over the double-spindle and double-stand-column machining center is completed. According to the invention, high-precision cooperative control, self-adaptive adjustment and intelligent optimized servo system control can be realized, and the processing performance of the double-spindle double-column processing center can be improved.

The invention relates to the technical field of suspension conveying systems, in particular to a servo-driven intelligent suspension conveying system, and solves the problems that when a servo motor suspension conveying system accelerates or decelerates, due to inertia of goods at the bottom, the power output power of a suspension system of a servo motor and the burden of a brake system are heavy, and the service life is short. And the service life of a servo motor and a brake system is shortened after long-time work. A servo-driven intelligent suspension conveying system comprises a conveying guide rail module, a guide rail sliding block, a sliding block driving module, a conveying suspension module and a control module, and the sliding block driving module is located on the outer side of the guide rail sliding block. When the guide rail sliding block is started, magnetic repulsion of the electromagnet to the guide rail sliding block is adjusted, the output torque of the double-shaft servo motor and the rotating load of the driving shaft are reduced, the situation that the double-shaft servo motor is damaged or breaks down due to high torque and high load when the double-shaft servo motor is started is avoided, and the service life of the double-shaft servo motor is prolonged.

The invention relates to the field of homogenizer intelligence, and discloses a homogenizer intelligent pressure increasing and reducing control system based on servo synchronous transmission, which comprises the following steps: extracting the operation inertia difference of each plunger mechanism under a multi-pump parallel structure, generating a synchronous offset vector map, and calculating the pressure increasing and reducing of the homogenizer based on the synchronous offset vector map. Calling a slip registration algorithm and an inertia field decoupling network, extracting reconstructed plunger stroke and pressure response mapping data, constructing a three-dimensional flow-path-stress tensor model, judging whether fluctuation-wear coupling sensitive points exist or not, activating a frequency conversion regulation and control strategy set of a servo driving layer based on a disturbance window and the coupling sensitive points, and carrying out the control of the servo driving layer. And judging whether structural thermal drift feedback unbalance exists or not, dynamically adjusting servo redundancy and a buffer response strategy in combination with a preset life curve and an abnormal response backtracking channel, and outputting a synchronous regulation and control instruction set. The method has the advantage of improving the long-term operation reliability of the homogenizer.