13858 results about "Servo" patented technology

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 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 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 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 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 provides an aluminum material shearing machine pressure self-adjusting feeding system based on synchronous rollers, relates to the technical field of aluminum material shearing machines, and adopts three synchronous rollers to be mounted in a mounting groove in the surface of a turntable through a movable block, a pneumatic telescopic rod and a pressure sensor in a combined manner to form multi-point support and tension control on an aluminum material. The console collects an extrusion force signal output by the pressure sensor in real time, calculates an actual pressure value in the horizontal direction through a pressure decomposition algorithm in combination with a turntable angle output by the angle sensor, compares the actual pressure value with a preset tension threshold value to generate an error signal, and drives the pneumatic telescopic rod to dynamically adjust the position of the synchronous roller; and when the error exceeds a set range, the servo motor can be controlled to adjust the angle of the turntable, and the wrapping angle of the synchronous roller is changed to realize tension compensation. The conveying tension of the aluminum material under the complex working condition is kept stable, the conditions of loosening, wrinkling, deviation and too tight snapping are avoided, and therefore the stability of the aluminum material in the conveying process and the follow-up shearing precision are improved.

The invention discloses a numerical control machine tool vibration suppression self-adaptive control system and method, and relates to the technical field of intelligent vibration control, and the method comprises the steps: building a current-modal dynamic mapping relation between an electrical drive characteristic and a mechanical structure modal response based on a vibration state feature vector; real-time machine tool modal state vectors are obtained through online recursive estimation; the machine tool modal state vector is used as a boundary condition to be injected into the virtual prediction model; solving to obtain an optimal control parameter sequence and a corresponding vibration prediction result in a future time domain by taking multi-performance index collaborative optimization as a target through a rolling optimization control strategy; translating the control parameter sequence into a specific execution instruction and issuing the specific execution instruction; monitoring an execution process in real time and recording actual response data; according to the method, the accuracy of vibration prediction and the real-time performance of control response are improved by establishing the dynamic mapping relation from the electromagnetic driving characteristics of the servo main shaft and the feed motor to the dynamic response of the machine tool structure.

The invention relates to a multi-phase reluctance type micro servo motor parameter design method, system and device, and the method comprises the steps: obtaining excitation magnetic field characteristics and target performance demands of a servo motor, and carrying out the structure differentiation configuration, and obtaining mechanical structure parameters; performing multi-phase excitation electromagnetic performance calculation on the mechanical structure parameters according to motor thermal boundary conditions of the servo motor to generate an electromagnetic performance index set; performing integrated heat dissipation structure design based on the electromagnetic performance index set and the mechanical structure parameters to obtain heat dissipation structure data; and iteratively integrating the mechanical structure parameters, the electromagnetic performance index set and the heat dissipation structure data to obtain a motor structure design scheme. By integrating an electromagnetic performance index set and mechanical structure parameters in integrated heat dissipation construction, collaborative optimization of a heat dissipation network and an electromagnetic core is realized.

The invention discloses a scanning electrochemical microscope in-situ stress corrosion testing device and method, and belongs to the technical field of material stress corrosion testing, and the device comprises a base, a power transmission module, a clamping module, a corrosion module, a signal acquisition module and a scanning electrochemical microscope module. Slow strain rate stretching of a sample is achieved through a servo motor, a planetary gear speed reducer and a transmission mechanism, the clamping module is integrated with a force sensor to monitor loads in real time, the corrosion module provides a temperature-controllable corrosion environment, and the scanning electrochemical microscope module achieves electrochemical scanning of the surface of the sample. The device can synchronously obtain a load-deformation curve, corrosion morphology and microcell electrochemical information under stress-corrosion-temperature multi-field coupling, and provides an effective technical means for deeply researching a stress corrosion mechanism of a material. The method comprises the steps of sample installation, corrosion solution preparation, electrode arrangement, tensile test, electrochemical scanning and the like, and has the advantages of simplicity and convenience in operation, comprehensive data, high precision and the like.

The invention discloses a motion precision compensation system and method of a numerical control precision automatic lathe, and aims to solve the problems that an existing precision compensation method depends on external calibration, production is interrupted, dynamic errors cannot be responded in real time, and the self-learning closed-loop capability is lacked. The method comprises the steps that servo current, spindle vibration and tool turret position signals are collected in real time; extracting signal features and inputting the signal features into a pre-training model to evaluate a rigidity degradation degree and predict a position deviation; querying a compensation parameter library according to an evaluation result; and injecting the compensation offset into a subsequent numerical control instruction in real time. The system comprises a multi-source signal acquisition module, an edge AI inference engine, a precision state evaluation model, a self-adaptive compensation parameter library and a CNC instruction injection interface. By the adoption of the technical scheme, online real-time precision sensing and self-adaptive compensation without external high-precision equipment and production interruption can be achieved, and machining size consistency and long-term stability are remarkably improved.

The utility model discloses a brushless servo motor easy to install and debug, which comprises a shell, a rotor, a stator and an encoder assembly, and is characterized in that the rotor comprises a rotating shaft and a magnetic ring; the shell comprises a shell and a first end cover; the stator comprises a stator core and a winding; the magnetic ring is an M-pole magnetic ring; the encoder assembly comprises a PCB and a magnetic induction device, the magnetic induction device comprises N groups of Hall sensors, and N is 1 or 2; each group of Hall sensors comprises two Hall sensors, and one Hall sensor rotates 90 degrees around the center line of the rotating shaft to reach the position of the other Hall sensor; each Hall sensor is eccentrically arranged relative to the center line of the rotating shaft, and a gap is formed between each Hall sensor and the magnetic ring in the axial direction of the rotating shaft. According to the utility model, the Hall sensor directly senses the magnetic field of the magnetic ring of the rotor to determine the angular position of the rotor, an independent sensing magnet does not need to be arranged on the rotor, the structure is simple, and the installation process is simplified.

The invention belongs to the technical field of parameter identification, and provides a thermal power generating unit electro-hydraulic servo system PID parameter identification method and system, and the method comprises the steps: obtaining the historical operation data of a steam turbine, carrying out the preliminary screening of the data, and constructing a parameter identification data set; according to the mean square error between the actual value and the calculated value of the opening degree of the valve, an objective function of PID parameter identification of the DEH electro-hydraulic servo system is established; setting population initial parameters, and generating a chaotic initial population; based on a parameter identification data set and a target function, introducing an initial population value of the generated chaotic initial population into an improved Bayesian optimization model, and obtaining a preliminary optimization result through Gaussian modeling and kernel function prediction; and taking the preliminary optimization result as input, and utilizing a whale optimization algorithm introducing a Levy flight disturbance mechanism to carry out iterative search for multiple times to obtain a final optimization result. According to the invention, the parameter identification precision and robustness are improved.

The invention relates to the technical field of intelligent control of injection molding machines, in particular to an injection molding machine closed-loop mold adjustment control system and method based on multi-sensor fusion and a self-adaptive algorithm, and the system comprises a sensing layer which adopts a multi-sensor fusion closed-loop feedback architecture and comprises a pressure sensing array, a displacement sensing unit and a temperature sensing array. The data acquisition module is used for synchronously acquiring mold clamping force, position and temperature data of a mold, constructing a three-dimensional error compensation model and realizing dynamic correction of the parallelism of the mold through space force field analysis; the execution layer comprises a servo motor, a belt wheel and a ball screw and is used for adjusting the position of the template; a double-closed-loop control module is arranged in the control layer, the double-closed-loop control module comprises outer ring mold clamping force control and inner ring position control, mold clamping force deviation serves as input of an outer ring, position correction is generated through a self-adaptive PID algorithm, the inner ring converts the position correction into a servo motor rotation angle instruction, and therefore precise control over the mold clamping force is achieved.

The invention discloses a mobile robot accurate docking method based on edge calculation, and aims to solve the problems that the dynamic docking precision is reduced and the collision risk is increased due to micro-motion or drifting of a target station. According to the method, unified time reference alignment is carried out on data of a camera, a laser radar, an inertial measurement unit, an ultra-wideband range finder, a station encoder and a programmable logic controller at an edge node, and a three-dimensional special Euclidean group equivariant multi-source fusion network is used for outputting relative pose estimation and covariance; the estimation in the time window is further used as a condition to be input into a conditional diffusion short-time prediction model to obtain a time-varying mean value and a time-varying covariance, an anisotropic probability tube is constructed, and prediction-measurement joint correction is carried out based on a score function; scenarized opportunity constraints are constructed under correction probability tube constraints, a tubular nonlinear model is adopted to predict, control and solve a reference trajectory, an actuator command is generated in combination with depth visual servo and compliance control, and the technical effects of high precision, robustness and safe docking under the station dynamic disturbance condition are achieved.

The invention discloses an integrated fan pneumatic-hydrodynamic-servo-elastic-plastic coupling analysis system and method, and belongs to the technical field of offshore fan numerical simulation calculation. According to the method, a coupling model of an offshore wind turbine under the environment load effect is established, a rotor cabin assembly is simulated through a multi-body dynamics method, and interaction of a supporting structure and pile soil is simulated through a finite element method. By introducing a prediction correction loose coupling algorithm, joint simulation between a multi-body system and a finite element system is realized. The method is not only suitable for coupling dynamic response analysis of the offshore wind turbine under the action of conventional wind wave load, but also suitable for elastic-plastic coupling analysis of the offshore wind turbine under the action of extreme typhoon load or earthquake load. In addition, the method not only can be used for coupling analysis of the offshore wind turbine of a traditional steel supporting structure, but also is suitable for integrated coupling analysis of the wind turbine of a novel steel-concrete structure on land or on the sea.

The invention relates to an automatic test method and system for the zero offset of a hemispherical resonator gyroscope. The automatic test system composed of a double-shaft servo turntable control module, a gyroscope control module and a PC (Personal Computer) upper computer is built; a servo turntable control instruction and a gyroscope control instruction are sent through a serial port according to a certain program through an automatic test logic built in a PC upper computer, a gyroscope vibration mode angle is controlled to be automatically switched from 0 degree to 360 degrees (the step length can be set), and turntable angle and gyroscope vibration mode angle data under each vibration mode angle are synchronously collected; and substituting the acquired data into the error model, completing zero offset error parameter identification by adopting a nonlinear least square method, generating an error compensation formula, and writing the error compensation formula into a gyroscope control unit in real time to realize compensation.

The invention relates to the field of robot additional shafts, in particular to an additional shaft servo motor type selection method for a robot, which comprises the following specific steps of: S1, determining a transmission system structure at a load end of an additional shaft motor; s2, determining a mechanical structure and motion characteristic parameters of the transmission system; s3, importing into a motor library; s4, performing calculation; s5, judging and checking; s6, model selection is completed; for three mainstream transmission systems of a gear rack, a ball screw and a belt at a load end of a robot additional shaft motor, calculation and accurate model selection are performed on parameters of the motor, and the dynamic response characteristic of the motor and the system compatibility of the model selection method are improved; the model selection tool can support a user to import and modify a motor database by himself / herself, and quickly and conveniently recommend an accurate model selection result from the motor database according to the rotation speed, torque, power and load inertia ratio judgment and check conditions of the motor, thereby improving the model selection efficiency of the servo motor and improving the user experience. And resource redundancy and manufacturing cost caused by a traditional empirical selection method are reduced.

The invention relates to the technical field of electronic component rain test, and discloses electronic product waterproof test equipment, which comprises a test box body, a cylinder and a water pipe, a turntable is arranged in the test box body, a rotating shaft is mounted on the turntable, a cavity is formed in the test box body, and a servo motor is fixedly mounted in the cavity. An electric push rod is fixedly mounted at the output end of the servo motor, and an electronic component is further arranged on the turntable; a support is fixedly installed in the test box body, a water storage frame rotationally connected with the support is installed on the support, and a wave making mechanism is further arranged in the water storage frame. According to the electronic product waterproof test equipment, through the collaborative design of a triangular arc-shaped protruding block and a wave making floating body, a soaking test is upgraded from static water level simulation to dynamic wave impact; the arc-shaped protruding blocks intermittently impact the rolling wheels, rapid resetting of the floating body is achieved through the spring mechanism, the dynamic hydraulic action of water fluctuation on electronic components in the natural environment can be reproduced, and the limitation that traditional equipment can only achieve static soaking is overcome.

The invention discloses a robot system with tactile perception, and belongs to the technical field of tactile robots. The problem that an existing robot is poor in environment pressure sensing capacity is solved. Comprising a head module, an integrated vision-inertial navigation sensing module and a head controller, two side surfaces are provided with a pair of rotatable connecting ends, and the outer surface is provided with a tactile sensor; the head controller transmits data to the upper computer through the communication module; the driving body module comprises a plurality of modularized joints which are connected end to end, touch sensors are arranged on the two side faces of each modularized joint, and the adjacent modularized joints are orthogonally connected; the modularized joint is integrated with a joint controller and a joint steering engine; the tail module integrates a tail controller and a tail steering engine, and tactile sensors are arranged on the two side faces of the tail module. The tail controller carries out data transmission with the head controller through the adjacent previous joint controller in sequence, and the head controller receives a control instruction of the upper computer and carries out data transmission with all other controllers. According to the invention, the environmental pressure can be sensed in all directions.

The invention discloses an anti-settlement method and system for a conjoined building with asynchronous foundation construction. The method comprises the following steps: step 1, establishing a multi-stage coupling settlement prediction finite element model of the conjoined building; 2, a settlement active control system composed of a central control unit, a distributed sensor network and a servo hydraulic actuator array is arranged at the structure connection interface of the asynchronous construction areas of the connected building; 3, in the whole construction process, relative settlement data of all the areas are continuously monitored in real time; 4, comparing the real-time settlement data with the prediction model data, and calculating a deviation value; and 5, according to the deviation value, the needed active supporting force is calculated, the servo hydraulic actuator array is instructed to adjust the output force of the servo hydraulic actuator array in real time, and therefore differential settlement in the construction process is actively controlled within the preset minimum threshold value range. According to the invention, the internal stress of the structure is greatly reduced, and a long waiting period required by technologies such as post-cast strips is canceled.

The invention relates to the field of electrical measurement and testing, in particular to a fault monitoring method and early warning system for a bottom loading and unloading crane pipe, and the method comprises the steps: obtaining and preprocessing the current, voltage and vibration sequence of a servo motor, and obtaining a corresponding IMF component and an energy spectrum; and in combination with historical normal operation data and to-be-monitored data, the importance degree of the IMF component is evaluated, and the time domain anomaly degree is obtained based on the standard deviation of the sliding window variance and the DTW distance. Odd harmonic information is extracted from the energy spectrum, and the time domain anomaly degree is combined to obtain the comprehensive anomaly degree. And obtaining a fault degree through weighted integration, and inputting the fault degree into a control system to judge a fault. According to the method, the energy spectrum difference of the IMF components, the first-order difference sequence difference and the time-frequency domain abnormal degree are comprehensively analyzed, the operation state of the servo motor is comprehensively evaluated, key fault information loss and single time domain feature monitoring limitation caused by elimination of high noise components in a traditional method are avoided, and the accuracy and sensitivity of fault monitoring are remarkably improved.

The invention relates to the technical field of space life science, in particular to a multi-axis control and acoustic levitation combined microgravity environment simulation closed cultivation device and a control system.The multi-axis control and acoustic levitation combined microgravity environment simulation closed cultivation device comprises two vertical sliding rail mechanisms, a first rotating servo motor is arranged on each vertical sliding rail mechanism in a sliding mode, and an outer rotating frame is driven to rotate in the first direction; the second rotating servo motor is fixed to the outer rotating frame and drives the cultivation chamber connected with the inner rotating frame to rotate in the second direction, and the acoustic levitation device is installed in the cultivation chamber. According to the invention, random gravity disturbance is introduced through random sliding on the sliding rail, and a microgravity environment with coupled random gravity and rotating speed double factors is constructed in combination with random rotation of double shafts; according to the method, the influence of microgravity on plant leaf respiration under the condition of no heat convection and air shear force can be deeply researched, the influence of air heat convection and shear force can be inhibited, the space microgravity cultivation condition can be truly simulated, and a reliable platform is provided for ground plant space cultivation research.

The invention discloses a real-time feedback method and system for a hydrogen peroxide production process, and relates to the technical field of intelligent feedback. The real-time feedback method and system for the hydrogen peroxide production process comprises the following steps: S1, preprocessing production process data and historical process data; s2, self-adaptive time sequence prediction feedback regulation and control analysis is carried out, the rotating speed of a servo motor is adjusted, and a sampling flow error value is corrected; s3, performing regulation and control characteristic attribution analysis, and performing mixed solution transfer; s4, performing process equipment self-diagnosis for efficient emulsion separation and multi-parameter mahalanobis distance discrimination; and S5, carrying out process parameter optimization and risk early warning. The problems that an existing system is difficult to achieve automatic continuous sampling and flow self-adaptive regulation and control in the hydrogen peroxide production process, and high-precision real-time monitoring and intelligent early warning are difficult to achieve are solved.

The invention discloses an examination bed displacement precision measurement and control method and an examination bed, and relates to the field of medical equipment.The examination bed displacement precision measurement and control method comprises the steps that whether the examination bed slips or not is recognized based on the comparison result of a first difference value and a first threshold value of displacement measurement parameters of a servo motor encoder and a transmission device encoder in the current movement; when the slippage phenomenon exists, compensation movement control is conducted on the examining table at least based on the slippage distance estimated value and the first difference value, and under the conditions that slippage does not exist and the second difference value of displacement measurement parameters collected by a transmission device encoder and a displacement sensor is not smaller than a second threshold value, the displacement measurement parameters are calculated based on the slippage distance estimated value and all the displacement measurement parameters. And carrying out abnormity identification on the transmission device encoder and the displacement sensor, and outputting an abnormity identification result. On the basis of cross comparison of the displacement measurement parameters collected by the displacement measurement devices, slip detection and anomaly detection of the displacement measurement devices are achieved on the basis of the comparison result, and accurate detection of the displacement precision of the examination bed is achieved.

The invention discloses a numerical control machine tool dynamic error cooperative compensation control method adaptive to high-speed machining, and relates to the technical field of numerical control machine tool error control. According to the method, a multi-source dynamic error sensing system comprising a grating displacement sensor, a six-dimensional force sensor and the like is constructed to acquire data; after wavelet threshold denoising and Kalman filtering preprocessing, inputting a three-layer LSTM error coupling prediction model combined with an attention mechanism, embedding a servo motor load characteristic curve in the model, and outputting three types of error compensation amounts; through servo-level compensation and machining-level compensation, the position of a feed shaft, the rotating speed of a main shaft, the cutting feed rate and the behavior of a micro-displacement actuator are corrected, and machining errors caused by deflection and vibration conduction of the main shaft are counteracted. And iteratively updating model parameters by using a gradient descent algorithm. According to the method, through multi-source error synchronous sensing, error coupling modeling and hierarchical cooperative compensation, dynamic error cooperative control more adaptive to a high-speed processing scene is realized, and the method has a wide application value.

The invention belongs to the technical field of robot and intelligent equipment driving, and discloses an integrated servo push rod and a control method.A push rod module is integrally designed, and a high-density motor, a ball push rod and a band-type brake are arranged in the push rod module. The invention has the characteristics of high power density, small volume, high precision, high response speed, low noise, long service life, high reliability and the like. The inside of the push rod is contacted with the deep groove ball bearing at the tail end of the screw rod through the ball retainer, and the outside is contacted with the oil-free bushing, so that the lateral strength of the push rod is improved, friction is reduced, and operation efficiency is improved. A linear encoder is arranged at the end of the screw rod, accurate control of the tail end can be achieved, a magnetic encoder is arranged at the tail end of the motor, input and output end double-closed-loop can be achieved, precision can be improved, and errors of band-type brake in power-off response time can be compensated; the lead screw is connected with the motor through the diaphragm coupling in the motor, so that the axial space is saved, and the service life of the motor is prolonged.

The invention relates to the field of co-extrusion production control, and particularly discloses an efficient film bag feeding control system, which is applied to a multi-raw-material synchronous conveying device of a co-extrusion process, and comprises a full-link data acquisition module, a full-link data processing module and a full-link data processing module, the raw material characteristic parameters comprise a melting point T, a stacking density rho and a magnetic sensitive particle loading amount M; the instantaneous load pressure P of each raw material conveying channel, the temperature Tm of a co-extrusion die head melting area, the real-time thickness H of a co-extrusion film layer, stock bin liquid level data and motor rotating speed data are collected and integrated to obtain a full-link original data set; the single-drive linkage conveying mechanism comprises a main servo motor, a plurality of sets of electromagnetic clutches and a plurality of sets of spiral conveying assemblies, and the main servo motor drives a transmission shaft through a synchronous belt. According to the technical scheme, for the co-extrusion process, the multi-raw-material synchronous conveying precision can be matched, and the problems that parameter adjustment lags behind, adaptability is poor and a downstream process feedback closed loop is lacked are solved.

The invention discloses a synchronous adjustment control method and system for an upper roller and a lower roller of a leveler based on servo feedback, and relates to the technical field of leveler control and adjustment. The synchronous adjustment control method and system for the upper roller and the lower roller of the leveler based on servo feedback comprises the steps that S1, servo execution data, displacement feedback data and input data in the operation process of the leveler are collected and preprocessed, and a standardized servo state data set is constructed; s2, performing difference evaluation on time response and stress states of the upper roller and the lower roller, and executing differential adjustment of a lifting motor and displacement correction of a supporting screw rod; s3, performing stability analysis on synchronous execution consistency of the upper roller and the lower roller, and synchronously adjusting a driving signal; and S4, comprehensively evaluating the synchronous coordination degree of the leveling process, and dynamically adjusting the servo rotating speed pressing force and the signal triggering time sequence to keep synchronous and stable operation. The problems that in the high-frequency-rhythm feeding and leveling task, non-cooperative inertia exists in the action of the upper roller and the lower roller, and a stable closed loop cannot be formed through short-rhythm adjustment are solved.

The invention discloses a laser wireless energy transmission system based on a vertical tracking structure and double-stage global optimization and a control method, and belongs to the technical field of photoelectric energy conversion and intelligent control. Aiming at the technical bottlenecks of high reflection loss of a photovoltaic array and MPPT failure caused by multi-peak characteristics due to non-uniform irradiation in the existing laser wireless transmission system, the invention provides three innovations: (1) designing a two-degree-of-freedom vertical tracking type photovoltaic array, and adjusting the pitch angle and azimuth angle of a photovoltaic panel in real time through a servo motor driving holder; a silicon nitride anti-reflection coating (the refractive index is smaller than or equal to 1.8) and a laser positioning sensor are combined to construct an incident angle deviation dynamic compensation model, and the reflection loss rate is reduced to be lower than 5%; (2) putting forward a global MPPT dual-stage optimization algorithm, dividing a voltage interval based on irradiation non-uniformity in a coarse positioning stage and generating an optimal candidate solution, and adopting an improved particle swarm algorithm (introducing an inertia weight dynamic adjustment mechanism and a local extreme value escape strategy) in a fine search stage to realize that the global maximum power point tracking precision reaches 99.2% in a multi-peak scene; and (3) establishing a reflection loss-power coupling control model, and solving the problems of tracking delay and energy oscillation of a traditional system through angle adjustment of the photovoltaic panel and closed-loop feedback of MPPT (Maximum Power Point Tracking) output. Compared with the prior art, the comprehensive efficiency of the system is improved by 18.6% under the dynamic irradiation condition, and the system is suitable for space laser power supply and mobile equipment wireless charging scenes.