246 results about "Automatic tuning" patented technology

The invention relates to the technical field of injection molding machine temperature control, and particularly discloses a real-time temperature control method applied to an injection molding machine, which uses a PID (Proportion Integration Differentiation) controller to carry out temperature control in an injection molding process. Firstly, a target temperature value is set, an automatic tuning algorithm is used for determining a preliminary PI D parameter of a real-time temperature PID controller, then an artificial intelligence technology based on deep learning is used for carrying out time sequence analysis on real-time temperature data in the injection molding process so as to reveal the effectiveness of the current PID parameter on temperature control, and the accuracy of temperature control is improved. Therefore, the self-adaptive optimization of the initial PID parameters is carried out based on the time sequence change mode of the temperature, so that the accuracy and the response speed of temperature control are improved. According to the invention, the temperature change can be quickly responded, and more efficient and more stable temperature management is realized, so that overshoot and oscillation phenomena are reduced, and more stable and accurate temperature control in the injection molding process is ensured.

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 method for carrying out data cleaning decision making and automatic tuning by using AI workflow, and relates to the technical field of data processing, the method comprises the following steps: obtaining original data from various heterogeneous data sources, and generating a correlation table and a result through field extraction, structure analysis and language attribute recognition; based on this, storage and task generation are performed, and standardized data and task queue information are output; identifying a quality problem through feature analysis, defining a target and constructing a cleaning task atlas, and generating cleaning metadata through preliminary screening and marking; and an AI cleaning workflow containing multiple strategy paths is constructed and optimized, after execution, a downstream feedback evaluation effect is combined and adjustment is carried out, and finally a multi-version cleaning result is integrated and output. According to the method, the adaptation capability to different types of data sources is effectively improved, the dependence on a static preset strategy is reduced, the manual intervention requirement is reduced, the tuning efficiency is improved, and the systematicness and normalization of data cleaning are enhanced.

The invention relates to the technical field of communication routing, in particular to a network connection automatic tuning system and device based on an SRv6 protocol. According to the method, the state data of network equipment is collected in real time, key network indexes such as delay, bandwidth, packet loss rate and hardware performance are combined, the health condition of network connection is dynamically evaluated, and path optimization is carried out in combination with an SRv6 protocol. By automatically calculating a path scoring matrix, the system can automatically select an optimal network path according to the priority of network transmission tasks, and intelligent adjustment and optimization are realized under the conditions of dynamic traffic and complex tasks; the invention provides a path calculation and scheduling mechanism based on an SRv6 protocol, the priority of a network path is automatically adjusted according to different types of data transmission tasks, and the selection of an optimal path is ensured. Meanwhile, the system has an automatic switching mechanism, and can automatically switch to an alternative path when the network path has a fault, thereby improving the reliability and fault-tolerant capability of the network.

The invention discloses an earphone sound effect personalized balanced automatic tuning method and system, and particularly relates to the technical field of earphone tuning, and the method comprises the steps: collecting the hearing feature data of a user in an initialization stage, constructing an individual compensation baseline, and carrying out the self-tuning of the earphone sound effect; solidifying a safety boundary containing the maximum allowable gain, the maximum output, the compression parameter upper limit and the parameter change rate upper limit as a hard constraint; in daily use, multi-source data is collected by taking a wearing session as granularity, the comprehensive quantity of comfort evidence is calculated, and a comfort label sequence is generated; based on the scene feature sequence, the comfort level label and the current parameter, constructing an individualized discomfort risk model, performing multi-objective decision making by combining the definition income, the comfort level risk cost and the security boundary hard constraint, and outputting an updated parameter set; smooth taking-into-effect and safe output of parameters are achieved through gradual issuing and protection state control, and evolution updating and version backspacing are carried out based on long-term logs.

The invention discloses a self-adaptive tension regulation and control unreeling machine, and relates to the technical field of unreeling equipment, the self-adaptive tension regulation and control unreeling machine comprises a base, and the surface of the base is provided with a reeling mechanism and a tension regulation mechanism; the winding mechanism comprises two supporting frames fixed to the surface of the base, a winding roller is rotationally arranged between the two supporting frames, and a winding and unwinding motor is fixedly arranged on the surfaces of the supporting frames. The tension adjusting mechanism comprises a vertical plate. The unwinding machine has the self-adaptive tension adjusting function, through the synergistic effect of an induction roller, a pressure sensor, a supporting spring, an electric telescopic rod and other components in the tension adjusting mechanism, the unwinding machine can monitor and automatically adjust the tension of a material in real time, when the tension of the material changes, the induction roller can drive a limiting sliding rod and a movable ejector block to move, and the tension of the material is adjusted. The signal change of the pressure sensor is triggered, the telescopic length of the electric telescopic rod is adjusted through the control system, the position of the tensioning roller is changed, and therefore accurate regulation and control over the material tension are achieved.

The embodiment of the invention provides a header component adjustable automatic control method and device, electronic equipment and harvesting machinery, and relates to the technical field of agricultural machinery. The header part adjustable automatic control method comprises the steps that it is determined that an automatic control mode is in an activated state, and the working state of a header is determined according to the running driving mechanism state and the main clutch state of a machine where the header is located and the opening degree state of a handle for controlling the advancing direction; when the working state is a harvesting state, working parameters of an execution variable pump corresponding to all parts of the header are determined according to the harvesting speed and the harvesting working condition; and correcting the working parameters of the execution variable pump based on the detection signal of the header monitoring point position monitored in the harvesting state. According to the embodiment, the rotating speed and the rotating direction of the header part can be automatically adjusted, the working efficiency of the harvesting process is improved, meanwhile, abnormal blockage of the header can be automatically monitored and processed, and the operation quality is improved.

The invention discloses a spindle posture regulation and control method and system and a thinning machine. The main shaft attitude regulation and control method comprises the following steps of: obtaining fullness and concave-convex degree of a wafer to be reached; determining a first adjusting parameter of a posture adjusting mechanism connected to a first position of a supporting disc of the main shaft according to the concave-convex degree; adjusting a posture adjusting mechanism connected to the first position according to the first adjusting parameter; determining a second adjustment parameter of the posture adjustment mechanism connected to the second position of the supporting disc and a compensation parameter of the posture adjustment mechanism connected to the first position according to the plumpness; adjusting the posture adjusting mechanism connected to the second position according to the second adjusting parameter and adjusting the posture adjusting mechanism connected to the first position according to the compensation parameter. According to the method disclosed by the invention, the main shaft is connected with the plurality of posture adjusting mechanisms, so that the posture of the main shaft can be automatically adjusted through the posture adjusting mechanisms to meet the actual processing requirement when the wafer with specific fullness and concave-convex degree needs to be processed, and manual debugging is not needed.

The invention relates to a high-voltage transformer series resonance withstand voltage test system and an automatic tuning method, and relates to the technical field of high-voltage electrical equipment testing, and the system comprises a control module, a signal generator, a resonance circuit, a data acquisition module and a safety protection unit. The method comprises the following steps: initializing system parameters; automatically searching and locking an optimal resonant frequency point; executing a withstand voltage test at the resonance point and monitoring data; and automatically analyzing data and judging performance. According to the invention, through full-closed-loop automatic control, rapid and accurate locking of the resonant frequency and intellectualization of the test process are realized, and the problems of low efficiency, poor precision and insufficient safety of a traditional method are effectively solved. The device has the outstanding advantages of high adaptive capacity, reliable test result and safety and convenience in operation, and is particularly suitable for high-efficiency and accurate standardized test on the insulating properties of various high-voltage transformers in an electric power system.

The utility model provides a guitar plectrum module, which comprises a fixed shell, two remote sensing controllers, two plectrum rods respectively connected with the two remote sensing controllers, two plectrum pieces respectively connected with the two plectrum rods, and a pressure spring connected with the two plectrum rods, and is characterized in that two mounting cavities are arranged in the fixed shell; the two remote sensing controllers are arranged in the two mounting cavities respectively, one end of each shifting piece is rotationally connected with the fixing shell, the free end of each shifting piece is connected with the corresponding shifting rod, one end of each pressure spring is fixed to the side wall of the corresponding remote sensing controller, and the other end of each pressure spring is connected with the corresponding shifting rod. According to the plectrum module for the guitar, the remote sensing controller drives the poking rod to rotate, then the poking rod drives the corresponding plectrum to rotate, the pressure spring is pressed, the plectrum is automatically adjusted, when the plectrum needs to return, the remote sensing controller does not exert force, the poking rod can be reset through the pressure spring, then the plectrum is reset, and compared with a torsion spring, the pressure spring does not exert force, so that the plectrum is more flexible. The structure is simple and installation is convenient.

Automatic tuning systems and methods for vehicle charging parameters are described. According to one embodiment, a system comprises a vehicle charging module configured to perform charging of a vehicle according to parameter values set in symbols related to the charging and an external charger configured to communicate with the vehicle charging module to perform charging and to automatically tune the parameter values set in the symbols related to the charging.

The invention relates to a deep learning compiler automatic tuning method based on reinforcement learning. The method comprises the steps of comparing a scheduling task with a historical scheduling task in a multi-level offline database through a multi-level feature similarity matching strategy from top to bottom to determine a search starting point scheduling configuration; generating a feature matrix according to the feature vector corresponding to each type of scheduling task, and screening out a significant dimension reduction search space through a variance threshold selection method; based on a reinforcement learning method, selecting a DQN model, generating a random action through a Monte Carlo sampling strategy, and changing scheduling configuration according to the random action; and evaluating the changed scheduling configuration performance by using a cost model, and constructing a reward function based on an evaluation result to complete automatic tuning. By constructing a multi-level off-line database and utilizing feature similarity matching from top to bottom, starting point scheduling configuration can be quickly retrieved and determined; and a variance threshold selection method is adopted to carry out dimension reduction on feature dimension vectors, so that the retrieval efficiency is improved.

The invention discloses an automatic tuning and calibration method and system for a crystal resonator, and relates to the technical field of automatic control. Comprising the following steps: S1, generating a multi-physics field coupling matrix: constructing three-dimensional space distribution of an electromagnetic-mechanical-thermal coupling field through a quantum dot sensor array, and generating the multi-physics field coupling matrix; s2, determining a compensation amount: determining time-varying characteristic parameters in the magnetic component, the mechanical component and the thermal component, constructing a nonlinear multi-body coupling state equation, and determining the corresponding compensation amount; and S3, multi-dimensional cooperative compensation: respectively carrying out mechanical compensation, capacitance compensation and light-operated tuning, and carrying out cooperative compensation through multiple actuators. According to the method, modeling is performed through high-precision three-dimensional space distribution of multiple physical fields, and the interaction of electromagnetic coupling, mechanical coupling and thermal coupling is quantified through the obtained total coupling strength among the resonators, so that the defect that the multi-body effect is ignored in a traditional method is overcome.

The present invention relates to the field of intelligent regulation technology, and particularly to a constant temperature intelligent valve control system and its control method. The method includes the following steps: receiving the DDC analog control signal in real time through the constant temperature intelligent valve and performing vibration-free judgment in the standby mode and valve adjustment control analysis to generate a valve position opening adjustment control mode and a valve flow adjustment control mode; monitoring the supply and return water temperatures of the constant temperature intelligent valve in real time and calculating the valve temperature difference to obtain the measured temperature difference of the intelligent valve; performing valve adjustment control logic response analysis on the constant temperature intelligent valve to generate a basic regulation mode and a constant regulation mode of the intelligent valve; obtaining the set temperature difference of the intelligent valve and the set return water temperature of the intelligent valve and performing basic regulation processing and constant regulation processing on the constant temperature intelligent valve to execute the corresponding intelligent valve regulation control work. The present invention can automatically adjust the control mode according to actual needs, and has high adaptability, accuracy and energy saving performance.

The invention discloses a permanent magnet synchronous motor control method and system based on online parameter identification, and relates to the field of motor control, and the control method comprises the steps: building a motor mathematical model of a permanent magnet synchronous motor in a static coordinate system, and the mathematical model is used for describing the relation between stator voltage and current and rotor electrical angle and electrical angular velocity; constructing a flux linkage observer, estimating a rotor flux linkage by observing the stator voltage and current, and calculating the position and speed of the rotor based on the rotor flux linkage; a recursive least square method is adopted to carry out online parameter identification, and motor parameters are updated in real time to compensate the influence of parameter changes on the control precision. According to the position-sensorless control method provided by the invention, accurate rotor position and speed estimation can be realized, and efficient control is realized. In combination with a gain adjustment and compensation method, the system can automatically adjust a control strategy according to different working conditions during motor operation, and the stability, precision and robustness of the system are improved.

The invention aims to provide a Bayesian optimization-based EDA (Electronic Design Automation) tool parameter automatic tuning method and system. The method comprises the following steps of: setting a process library file, a hardware description language code of chip design and a constraint file, and configuring a parameter space formed by EDA tool parameters; inputting the process library file, the hardware description language code of the chip design, the constraint file and the parameter space into DGPSPMBO; and the DGPSPMBO outputs a chip layout design according to a diversity-guided multi-target Bayesian optimization framework. According to the method, important parameters are selected to ensure that optimization is concentrated on the most effective parameter dimension, and the search accuracy is improved. And meanwhile, a parallel optimization strategy considering parameter space and PPA index diversity is introduced, and exploration is guided by utilizing a batch selection mechanism and combining a hyper-volume improvement index, so that exploration is more sufficient, and a plurality of EDA tool parameter combinations capable of realizing high-quality chip design can be quickly and accurately found.

The invention discloses a turntable PID (Proportion Integration Differentiation) controller parameter self-tuning method and system based on multi-algorithm fusion, mainly relates to the technical field of turntable control, and comprises a plurality of specific tuning steps of data acquisition and preprocessing, model identification, PID controller parameter automatic calculation and parameter adjustment and verification, and is also matched with an automatic tuning system for specific implementation. The automatic setting system comprises a DSP board card upper computer software module and a PID self-setting software module, the DSP board card upper computer software module is used for setting communication parameters, sending and receiving data and generating a model identification file, and the PID self-setting software module comprises a plurality of program units and is used for further verifying the PID controller parameter self-setting method. The control precision and stability of the rotary table control system can be improved.

The present invention belongs to the field of motors, and particularly relates to a voice coil motor, comprising: a mounting housing; a permanent magnet structure, which is mounted on the mounting housing; a coil mounting structure, which is mounted on the mounting housing; a bearing structure, which is mounted on the mounting housing; an elastic structure, which is mounted on the mounting housing; a fixing structure; and a voice coil motor control system for controlling the parameters of the voice coil motor. By adjusting the fixing structure, the elastic structure can be fixed on the mounting housing after the elastic structure is placed. When the elastic structure needs to be replaced, the elastic structure can be taken out and replaced by adjusting the fixing structure again. Therefore, when the elastic structure is damaged, it is not necessary to replace the whole. Moreover, the bearing structure makes the movement of the coil mounting structure more stable. Through the voice coil motor control system, the control parameters can be automatically adjusted to adapt to the unknown environment and system nonlinearity, improving the system performance and robustness.

The invention relates to the technical field of system performance monitoring, and discloses an intelligent software system performance monitoring and automatic tuning method and system. The method comprises the steps of collecting performance data during operation, marking and preprocessing the performance data, and dividing the performance data into a training set and a real-time monitoring set; constructing a multi-dimensional state sequence by using the training set data, generating a dynamic mode fragment, and constructing a system behavior map and a mode transition probability matrix based on mode entropy clustering analysis; inputting the real-time monitoring set fragments into the map to calculate the matching degree, and outputting a real-time resource allocation scheme through a Markov decision process; system parameters are adjusted according to the scheme, and iterative optimization is carried out if the difference exceeds a threshold value. The system comprises a data acquisition and preprocessing module, a dynamic mode construction module, a mode optimization module, a real-time tuning decision module and an iterative optimization module. The system performance can be comprehensively monitored, intelligent automatic tuning is realized, the stability and performance of the system are improved, and the method is particularly suitable for a distributed system.

The invention relates to the field of automation, in particular to a sharp corner bending mechanism for adjusting the thickness of a metal plate. The sharp corner bending mechanism comprises a lathe bed, a servo adjusting assembly a, an R bending machine, an L bending machine and a PLC control module. The R bending machine and the L bending machine are mirror image parts of each other and are symmetrically arranged on the two sides of the lathe bed, and the servo adjusting assembly a drives the R bending machine and the L bending machine to do linear motion along the guide rail a. The PLC control module controls the servo adjusting assembly a, the R bending machine and the L bending machine to act. According to the automatic bending device, a fillet with a small bending angle R1 can be produced, the gap of the bending die can be automatically adjusted to adapt to stainless steel outer covers with different thicknesses, the design structure is exquisite, full-flexible production is achieved, and cost is saved.

The present invention discloses an intelligent human-machine interactive music treadmill control method, which relates to the field of treadmill control. The aim is to solve the problem in the prior art that the user frequently manually adjusts the speed of the running belt. The adopted technical solution is to collect the BPM value of the music, obtain the optimal SMF value and the current SMF value, and adjust the speed of the running belt of the treadmill so that the current SMF value is equal to the optimal SMF value. By obtaining the BPM value of the currently played music and the current step amplitude, combining the corresponding relationship between the BPM value and the SMF, as well as the relationship between the step amplitude, step frequency and the outer surface circumference of the belt drive roller and the motor speed, it is possible to adjust the motor speed to change the user's step frequency so that it corresponds to the BPM value. The present invention can automatically adjust the speed of the running belt according to the music, greatly improving the initiative and freedom of the user's movement and making it easier to obtain a free and relaxed movement as one wishes.

This invention provides an automatic tuner for a loop antenna used in shortwave communication, belonging to the field of shortwave communication technology. This tuner aims to solve the problems of existing automatic tuners for loop antennas, such as difficulty in balancing versatility and high power performance, and poor high-voltage withstand capability. The tuner includes: a matching circuit, which includes couplers for shunting forward and reverse radio frequency signals; a tuning actuator, which includes an oil-immersed variable capacitor and a drive mechanism; and a main control circuit. Based on the signal shunted by the coupler, the main control circuit autonomously calculates the standing wave ratio (VSWR) and generates a control signal to control the matching circuit and tuning actuator independently of the radio transceiver, thus completing automatic tuning. This invention improves voltage withstand and power handling capability by using an oil-immersed variable capacitor, and achieves universal tuning through the autonomous control of the main control circuit, overcoming the shortcomings of existing technologies and offering the advantages of high power, high reliability, and strong versatility.

In automatic tuning of a servo amplifier for servo control of a motor, the automatic tuning can be performed regardless of the size of a load connected to the motor, and control parameters of a position command filter can also be optimized. Before tuning of a gain of the servo amplifier is performed, the following processes are executed: a process (103) of estimating an inertia ratio related to the motor, based on a response of the motor when the motor is driven at a speed slower than a speed used at the time of the gain tuning; and an initial value decision process (104) of deciding initial values of the control parameters of the position command filter at the time of the automatic tuning, based on the inertia ratio.

1. Name of the Design Product: Intelligent Detection Test Machine for Air Control Valve. 2. Use of the Design Product: Used for performance test and detection of control valves in rail transit braking systems and automatic empty and load adjustment devices. 3. Design Key Points of the Design Product: Lies in the shape. 4. Picture or Photograph that Best Illustrates the Design Key Points: Stereogram.

The invention discloses a non-integer-order differential double-integral operator fusion parameter self-optimization control method, and relates to the technical field of servo drive control, and the method comprises the following steps: S1, constructing a non-integer-order differential double-integral operator sliding mode surface; s2, designing a parameter self-tuning method for parameter self-optimization based on a non-integer-order differential double-integral operator sliding mode surface; and S3, designing a non-integer order differential double-integral operator fusion parameter self-optimization control method based on the non-integer order differential double-integral operator sliding mode surface and a parameter self-tuning method of parameter self-optimization. According to the method, the running state and parameter change of the servo system can be sensed in real time, the data of the controlled system are analyzed and processed in real time by applying an algorithm, the non-integer order control parameters can be automatically adjusted based on the analysis result, online setting of the parameters is achieved, and the control precision is improved. The dynamic parameter adjusting mechanism enables the system to be always kept in the optimal working state, and the control precision and the system stability can be always ensured.

The application provides an automatic control method of an excavator, an excavator controller, an excavator and a medium, and relates to the technical field of excavator control. The method comprises the following steps: acquiring a current work track corresponding to a first work cycle of the excavator; determining a relative position and a relative height between a starting point and an ending point of the current work track; determining a target work track with the shortest distance between the starting point and the ending point according to the relative position and the relative height of the current work track; determining a target speed proportion relationship between a swing speed of a swing arm and a lifting speed of the swing arm according to the target work track; determining an actual handle opening degree of an operation handle according to the target speed proportion relationship, and automatically controlling the excavator according to the actual handle opening degree. According to the method, the handle opening degree can be automatically adjusted according to an actual working condition, so that different working conditions can be automatically adapted, the operation difficulty of the excavator is reduced, and the working efficiency is improved.

The present invention discloses an online automatic tuning and compilation system and method for large-scale model training, which belongs to the field of computing framework programming and compilers. The system includes an automatic tuning client, an automatic tuning server, a configuration manager, a Triton operator register, a communication manager, an automatic tuning scheduler, and a data collector. The present invention improves the computing performance of the fusion operator by searching online for the optimal hyperparameter configuration of the fusion operator during large-scale model training, thereby improving the efficiency of utilizing GPU hardware resources during large-scale model training. The online automatic tuning and compilation system of the present invention provides a search for a larger hyperparameter space, and quickly finds the optimal hyperparameter configuration of the fusion operator for end-to-end performance during large-scale model training.

The utility model provides an automatic tunable middle wave sky tuning system adapting to complex environment, including transmitting system, excitation source, signal switching system, radio frequency sampling system, impedance sampling system, middle wave sky tuning network, middle wave antenna and automatic tuning system. The utility model discloses an automatic tunable middle wave sky tuning system adapting to complex environment reduces the signal attenuation between the machine room and the sky tuning room, reduces the influence (such as electromagnetic interference, temperature and humidity change) of environmental factors to the tuning accuracy simultaneously, adapts to complex environment, and automatically tunes the out-of-tune middle wave sky tuning network under complex environment, realizes the sky tuning system adaptation again, reaches the reliability of middle wave sky tuning system power transmission, and ensures the reliable operation of transmitting system.

The utility model provides a rotary test fixture for a square electronic part, and relates to the technical field of tool fixtures, the rotary test fixture is characterized in that a positioning groove is formed in a first fixing piece, two vertical lateral positioning surfaces of the positioning groove are combined to form a V-shaped opening, and the V-shaped opening faces the circle center of a circular turntable and is used for positioning two side surfaces of the square electronic part; the bottom of the positioning groove is provided with a detection hole. The second fixing piece comprises a body part installed on the circular rotating disc and a pair of parallel supports extending out in the direction away from the circle center, and the first fixing piece is installed on the parallel supports. The guide rail of the clamping assembly faces the V-shaped opening, the push rod is slidably mounted on the guide rail, and the elastic part is used for applying thrust to the push rod to move towards the V-shaped opening along the push rod, so that the push rod abuts against the square electronic part in the positioning groove. The position of the square electronic part can be automatically adjusted in the rotating process of the circular rotating disc, and the positioning precision and the movement stability are improved.

Embodiments for automatically tuning a heterogeneous wireless network are disclosed herein. In one example, performance data is received for a plurality of wireless networks. The wireless network is based on multiple wireless technologies and the performance data is based on multiple layers of a wireless technology protocol stack. One or more configuration settings to be adjusted for the one or more wireless networks are determined using the performance data. The determined configuration setting (s) is then adjusted.