60 results about "Control vector" patented technology

This invention discloses a method for predicting and protecting the overheating risk of asynchronous motors, specifically relating to the field of motor control and protection technology. Based on an intelligent fusion model, it estimates temperature and thermal stress field, calculates the rate of change of thermal stress, non-uniformity, and hotspot trends, and calculates a dynamic health index using historical data. These parameters are then input into a multi-objective reinforcement learning controller to optimize long-term health and short-term performance, generating a thermal shaping control vector to regulate the motor. This invention combines physical mechanisms with data-driven approaches through an intelligent fusion model, utilizing a graph neural network to learn the structure of the heat conduction graph and verify physical laws, thereby improving the accuracy of thermal state estimation. It achieves a multi-dimensional risk characterization combining transient impact and cumulative effects through the rate of change of thermal stress, non-uniformity, hotspot trends, and dynamic health index. By optimizing long-term health and short-term performance losses, a thermal shaping control vector is generated to achieve regulation from passive protection to active prevention, extending the motor's service life.

The application belongs to the technical field of industrial control and relates to a purification plate glue brushing control method and system. The method comprises the following steps: obtaining an inlet plate state and corresponding nozzle channel execution state, conveying state and post-spraying pattern reading state; performing time delay compensation according to the conveying state to obtain a plate running coordinate and build a coordinate state chain; reading an effective source set and an effective state amount, generating a robust baseline residual in a neighboring stable window; generating a cross-source conflict degree, obtaining a quality gate confidence and determining a gate state; generating a control vector and outputting a control amount when the control condition is met, and writing a review-confirmed effective control result into a batch process archive. The technical scheme of the application realizes closed-loop control of the continuous glue brushing process of the purification plate through multi-source state alignment, robust residual analysis, cross-source conflict gating and result rewriting, can improve control basis consistency and control amount adjustment stability, and meets the reviewable regulation and control demand of continuous batch glue brushing.

The application discloses a motor driving control system, an electric driving joint and a control method thereof. The control system comprises a first control module and a second control unit. The first control module comprises a first control unit, a signal gating control unit and a motor unit connected in sequence. The first control unit is configured to generate a first control signal according to the operation feedback signal of the motor unit through a vector control algorithm. The second control unit is electrically connected with the signal gating control unit. The second control unit is configured to generate a second control signal according to the operation feedback signal of the motor unit through a reinforcement learning algorithm. The signal gating control unit is configured to select the first control signal or the second control signal as a target control signal to control the operation of the motor unit according to the operation feedback signal of the motor unit and the second control signal. The application can solve the problem that the electric driving joint cannot quickly and safely and reliably adapt to different humanoid robots and has poor adaptability.

This application provides a method, apparatus, electronic device, and storage medium for determining responses to questions, belonging to the technical field of question response determination, and applicable to scenarios in financial, medical, health, and elderly care insurance application systems. The method includes: responding to a question input by a user, performing semantic and compliance constraints on the question, and generating a structured control vector corresponding to the question; inputting the structured control vector into multiple perturbation decoding heads, and generating candidate response sequences corresponding to the business semantic distribution of the question and each perturbation decoding head based on the structured control vector; wherein the business semantic distributions of the multiple perturbation decoding heads are different; and determining the target response sequence for the question based on the candidate response sequences. This application improves the diversity and accuracy of responses by constructing a structured control vector through pre-generation semantic and compliance constraints, and by generating candidate responses in parallel using perturbation decoding heads with differentiated business semantic distributions.

The present application relates to a kind of permanent magnet shielding motor vector control energy efficiency optimization method considering magnetic field lagging phase angle, belong to permanent magnet shielding motor control field.It is characterized by: by analyzing shield sleeve eddy current effect, the analytical expression of magnetic field lagging phase angle is derived using electromagnetic field theory;The lagging phase angle is introduced into permanent magnet flux linkage term to be corrected, and the eddy current loss of shield sleeve and stator iron loss are combined into equivalent iron loss component, and a system controllable loss model is constructed;Under the constraint of constant torque, the analytical expression of total controllable loss about direct-axis current is derived and the optimal direct-axis current given value is solved.The actual application introduces angle compensation in the coordinate transformation link of vector control system, and the optimal direct-axis current given value is sent into current regulator, the accurate decoupling of dq axis current is realized, the total loss of motor is reduced, so as to improve the overall efficiency of motor control system.

A vector control method is disclosed in which currents of an electric multiphase machine (183) are represented in a dq-axis coordinate system, comprising the vector control method of injecting a d-axis current based on a q-axis request (140). Furthermore, a corresponding converter and a computer program product are disclosed.

This invention relates to the field of robot motion control technology, and more particularly to an obstacle avoidance adaptive dynamic control system, comprising a multimodal environment and physiological temporal perception module with communication connections, a photodynamic Riemannian metric tensor mapping module, a neural constant differential cognitive evolution prediction module, a robust forward invariant tube synthesis module, a Riemannian space barrier constraint solving module, and a differential manifold impedance execution module. The perception module extracts circadian rhythm representation data; the mapping module reconstructs Euclidean space into a Riemannian manifold space based on the photodynamic cost scalar field; the neural constant differential module calculates the cognitive delay evolution trajectory by combining multi-source features; the synthesis module synthesizes a robust forward invariant tube for envelope prediction error; a Riemannian control barrier function constraint proposition is constructed by combining geodesic distance; and the execution module solves for the optimal safe control vector and inversely maps it to impedance torque distribution. This invention achieves deep coupling between physiological rhythms and non-Euclidean geometric control, constructing a physically compliant obstacle avoidance safety defense line.

The application provides a dengue virus protection and mosquito vector control antigen composition and application thereof. The antigen composition comprises a combination of dengue virus type 1-4 envelope protein domain III polypeptide and Aedes aegypti midgut mucin AaMuc1 antigen polypeptide; the amino acid sequences of the dengue virus type 1-4 envelope protein domain III polypeptide are respectively shown as SEQ ID NO. 1, SEQ ID NO. 2, SEQ ID NO. 3 and SEQ ID NO. 4; and the amino acid sequence of the Aedes aegypti midgut mucin AaMuc1 antigen polypeptide is shown as SEQ ID NO. 5. The prepared vaccine can induce the body to produce neutralizing antibodies against dengue virus type 1-4, achieve the protection of human body from dengue virus infection, induce the production of active antibodies targeting Aedes aegypti midgut mucin 1, inhibit and kill the dengue virus transmission vector Aedes aegypti, and achieve the dual prevention and control of dengue fever from two dimensions of infection prevention and transmission interruption.

This invention belongs to the field of power electronics technology, and particularly relates to a motor control method, detection and conversion device, storage medium and controller; the first current detection step / module obtains or the third fault diagnosis step / module selects the first current sensor sequence (700), and based on its first phase current (810), the second current reconstruction step / module combines the phase and amplitude information of the rotor position of the motor (999) and the first phase current (810) to construct the second observation value sequence (070) corresponding to the first given current sequence (054) of the motor (999) vector control, and uses it as a feedback signal to realize the closed-loop control of the motor (999); the method and product disclosed in this invention only require one current sensor to realize the detection and control process of at least two signals required by related technologies, effectively improving the reliability of the whole machine and the system robustness when some components fail, and is especially suitable for the vector control of permanent magnet synchronous motor (PMSM).

The application provides a large language model reasoning rectification method and device, the method comprises the following steps: obtaining reasoning behavior information and corresponding hidden layer activation state information of a first reasoning step; classifying the reasoning behavior information, and calculating a deviation score of a word element deviating from a potential error behavior category by using a benchmark activation prototype and the hidden layer activation state information; extracting a candidate rectification control vector from a pre-set rectification control vector library in combination with the first reasoning behavior category information, and calculating a dynamic rectification vector by using the candidate rectification control vector and the real-time deviation score; finally, modifying the hidden layer activation state information by using the dynamic rectification vector, and inputting the modified hidden layer activation state information into the large language model. The method and device can block the spread of the error reasoning path without retraining the model, reduce the reasoning cost, and improve the model reasoning accuracy.

The utility model discloses disinfection and disease medium prevention and control equipment for a public washroom, and belongs to the technical field of disease medium prevention and control. The device comprises a shell which is composed of a killing inner cavity in the lower portion and a liquid storage cavity in the upper portion; the liquid medicine spraying module comprises a water pump arranged in the bottom of the liquid storage cavity and an atomizing nozzle connected with the water outlet end of the water pump; and the integrated mosquito eradication filtering module comprises a cylinder body fixed in the mounting channel hole. The killing and disinfection of the disease-borne organisms are integrated in one device, so that not only can the killing of the disease-borne organisms be completed, but also the dead bodies of the disease-borne organisms can be disinfected after the killing; the integrated mosquito eradication filter module is used for sucking and filtering nearby air, and the ultraviolet disinfection lamp tube is used for disinfecting flowing air and pathogen aerosol attached to the interior of the air filter cartridge, so that pathogens are prevented from overflowing through the air.

The application discloses a kind of linkage automation control systems for sewage treatment whole process, it is related to sewage treatment control technical field, sequentially include: acquisition online process variable, executor feedback, laboratory reference value and upstream event data, form state candidate set and credible evidence package;Based on credible evidence package, working condition identification, effective domain determination and candidate control generation;According to the risk level of execution object, the correlation of associated state variable Relevant credibility and model effective domain state, multi-level authority mapping and degradation are carried out to candidate control vector;Candidate set value with execution qualification is written into the shadow label area of existing PLC / SCADA, and according to the receipt execution rollback and event window update.The system can reduce the error writing under abnormal working condition while retaining the existing control system, can improve the continuity of control chain, execution robustness and operation adaptability and facilitate engineering implementation.

This invention belongs to the field of motor control technology and discloses a dual-motor cooperative control driver and control method based on vector control. Through a built-in parallel two-level cross-coupling synchronous control strategy, the speed loop and clamping force loop are set up in parallel. A cross-compensation algorithm is executed so that the control setpoint of each motor is simultaneously adjusted by its own and the other motor's speed and clamping force errors, achieving adaptive weight adjustment logic to achieve multi-variable cooperation. The driver integrates a force feedback interface, which can be directly connected to a force sensor to form a clamping force-torque composite closed-loop control mode, realizing high-quality closed-loop control from command to output, improving the system's intelligence and control accuracy. The modular hardware design, combined with CAN communication and analog signal acquisition, enhances configuration flexibility and system integration convenience. Precise feedback from the resolver decoding module and current sampling module, and the driving of the three-phase full-bridge drive module, ensure high efficiency from signal sensing to power output.

Vector control method for a synchronous machine, in particular a permanent magnet synchronous machine, in which Q-axis and D-axis setpoint currents (Iq, Id) are determined by respective assignments (5, 5A) that define a flux linkage torque (M&PSgr;) and a setpoint flux strength (&PSgr;Tgt_MTPL) with the Q-axis setpoint current and D-axis setpoint current, respectively.The D-axis target current (Iq, Id) is determined by linking the flux linkage torque (M) to a difference between a target torque (MTgt) and an iron loss torque (MIron), wherein the assignments (5, 5A) for determining the Q-axis target current (Iq) and the D-axis target current (Id) disregard a voltage variation of a voltage to be applied to the stator windings of the synchronous machine and the voltage variation is previously regulated or compensated by adjusting the target flux strength (Tgt_MTPL), characterized in that the voltage variation is regulated or compensated on the basis of a flux strength difference (Error) between a maximum flux strength (Max) and a current flux strength (ctrl_req).

This invention discloses a fault-tolerant control method for suppressing torque ripple in a dual three-phase permanent magnet motor, belonging to the field of multiphase motor control. The method includes: real-time calculation of the controller output, inverter output, and actual motor voltage; real-time calculation of voltage residuals, designing a cooperative voltage compensation form for the fundamental and harmonic planes, and generating a compensation voltage reference value; setting a voltage residual threshold, and dynamically limiting the residual within the threshold range by adjusting the compensation coefficient; and switching a fault-tolerant algorithm to complete fault-tolerant control. This invention maintains stable motor operation without waiting for fault diagnosis and location, providing a good environment for fault diagnosis. Switching to a normal decoupling fault-tolerant algorithm further suppresses torque ripple. This invention is applicable to open-circuit faults in any phase and two phases, without changing the original vector control structure, is easy to integrate, and significantly improves the overall operating performance and reliability of the system under fault transients and fault-tolerant steady states.

This invention belongs to the field of motor control technology and discloses a method, device, medium, equipment, and terminal for automatic code generation. It constructs a vector control model for a permanent magnet synchronous motor (PMSM) based on hybrid PWM using a hybrid frequency formula and optimizes the parameters of the PMSM vector control model. An automatic code generation model is built and used to automatically generate code files based on the hybrid frequency PWM PMSM vector control model. The code files are loaded into the control module, the control chip executes the code files, and the module communicates with a host computer via a communication interface, sending real-time status data of the PMSM to the host computer. The module receives control commands from the host computer to control the PMSM, while the host computer simultaneously receives and graphically displays the PMSM status data in real time. Compared to traditional periodic frequency modulation strategies, this invention offers better performance and greater convenience, effectively improving the work efficiency of developers.

This invention discloses a sensorless permanent magnet synchronous motor (PMSM) control method based on an adaptive phase-locked loop (PLL) and an anti-saturation controller, comprising the following steps: S1, injecting a high-frequency square wave voltage signal into the estimated synchronous rotating coordinate system; acquiring the stator current of the PMSM to obtain a high-frequency current deviation signal in a two-phase stationary coordinate system; S2, using an improved anti-integral saturation controller as the speed loop controller to receive the speed command and feedback speed error signal; simultaneously, calculating the rotor position error signal based on the high-frequency current signal; S3, inputting the rotor position error signal to the adaptive PLL, which adaptively adjusts its undamped oscillation frequency according to the motor's operating state to achieve dynamic adjustment of the observation bandwidth, and outputs rotor position and speed estimates; sensorless vector control of the PMSM is achieved through the estimates. This invention exhibits excellent stability and adaptability during low-speed motor operation.

The application provides a kind of pipe network engineering construction period intelligent remote monitoring method and system, related to underground space engineering safety technical field.The application obtains the transient dynamics parameters such as pipe network interface shear displacement, displacement rate and soil pore water pressure around pipe, and constructs system state vector and control vector by combining with construction machinery and grouting system operation boundary parameter, accurately reflects real-time dynamics state of pipe network;With pipe-soil coupling dynamics state evolution equation as constraint, with the minimum pipe network state deviation and control energy consumption as target to construct Hamilton function, and based on the pontryagin principle to solve the optimal control solution, realize the rapid deduction and global optimal control decision of pipe network deformation trend;Finally, the synchronous control instruction of mechanical frequency reduction and grouting pressurization is generated, which can complete active collaborative intervention in a very short time when high-frequency shear impact occurs, inhibit the transient shear deformation of pipe network interface, avoid interface shear separation damage, and reduce control energy consumption.

Based on Ts (=2×Tc=Th), a control cycle for performing sensor-less vector control-related process, an estimator applies synchronously with Ts and Tc, high-frequency voltage having cycle Th corresponding to frequency outside audible range on γ-axis of γδ semi-synchronous coordinate system, detects stator current including basic drive frequency component and high-frequency component at cycle Tc, time-differentiates two most recent detected values of stator current on γδ semi-synchronous coordinate system per cycle Ts, to generate either or both of γ-axis component signal cγ and δ-axis component signal sδ, generates positive correlation signal pc having positive correlation with deviation between the rotor phase and the γ-axis phase per cycle Ts by using the generated axis component signal, and performs signal processing of positive correlation signal pc such that positive correlation signal pc becomes zero, to generate estimated value of the phase or the speed of the rotor.

This invention relates to a grid-connected inverter control method based on improved evaluation functions and model predictive vector control, belonging to the power industry. Building upon SVPWM (Single Vector Width Modulation) grid-connected inverters, it employs a model predictive control (MPC) algorithm to provide reference values ​​for the switching arm port voltages. During the use of MPC, the original evaluation function is improved by proposing an algorithm for evaluating the DQ-axis current model error at eight time points within each sector cycle. This invention results in a higher degree of agreement between the predicted model and the actual controlled object, and a faster convergence rate.

The application discloses a permanent magnet synchronous motor direct drive control anti-interference torque method and electronic equipment, a control model without interference torque is established according to a vector control algorithm, when no interference torque is introduced, a current loop, a speed loop simulation model and a control flow are established, parameters of the current loop and the speed loop are adjusted, time domain waveforms are similar to simulation, and the purpose of permanent magnet synchronous motor direct drive is achieved. An interference source is introduced, an interference torque signal flow is established, an anti-interference torque simulation model is established on the basis of the interference torque, a transfer function of the anti-interference torque is derived, the purpose of permanent magnet synchronous motor direct drive control anti-interference torque is achieved, and the permanent magnet synchronous motor direct drive control anti-interference torque method is realized in a general electronic equipment.

The application is suitable for the technical field of motor control, and provides a PMSM sensorless control method based on ESMO and SPLL, comprising: establishing a foc vector control mathematical model of a permanent magnet synchronous motor; designing an extended sliding mode observer by regarding back electromotive force as a state variable, adopting a double power sliding mode surface and a high-order sliding mode control law with an adaptive variable speed approaching term to complete back electromotive force observation; connecting an improved SOGI module with a compensation link to filter and process the observation signal and cross-compensate two-phase back electromotive force errors, optimizing a phase discriminator and a loop filter of a phase-locked loop, and extracting rotor position and speed; connecting the outputs of the observer and the phase-locked loop to a FOC vector control system to complete sensorless control closed loop building. The application effectively suppresses the chattering problem of the traditional sliding mode observer, improves the phase discrimination accuracy and dynamic response speed under low-speed working conditions, and enhances the anti-interference ability under load mutation.

This invention provides a speed identification method for a three-phase asynchronous motor based on sensorless vector control, comprising: establishing a mathematical model of the three-phase asynchronous motor; determining the parameter matrix to be identified; defining the observation length, neuron factor, and initializing the model reference adaptive covariance matrix P(N); generating the observation matrix and its transpose matrix; calculating the current-time model reference adaptive covariance matrix P(N); using a fuzzy control algorithm to calculate the gain matrix K(N-1) of the previous time step; updating the estimated values ​​of the parameters to be identified; and updating the objective function value J. t (θ). This invention effectively reduces torque ripple, enabling a three-phase asynchronous motor to smoothly transition from low speed to high speed operation. Current ripple is significantly reduced, improving the system control performance of the three-phase asynchronous motor under varying load conditions. The technical solution of this invention addresses the technical problems of high parameter sensitivity and poor disturbance rejection capability in traditional model reference adaptive methods, as well as the difficulty in adjusting the parameters of traditional PID controllers for the speed loop.

To provide a power conversion device and a motor control system capable of implementing stable speed control even if a speed response is enhanced. Therefore, there are provided a power converter 2 that converts DC power into AC power and outputs the AC power to an induction motor based on AC voltage command values vu*, vv*, and vw* in stationary coordinates, and a controller CT that calculates the voltage command values in the stationary coordinates by vector control. The controller CT adds, to a steady-state value of a slip frequency determined by a d-axis current (id), a q-axis current (iq), and a secondary time constant (T2), a transient value determined by differential calculation using the d-axis current (id) and the q-axis current (iq) to calculate a slip frequency command value ωs**.

This invention relates to the field of motor control technology, specifically a sensorless control method for permanent magnet synchronous motors based on the robust fusion of EKF and H∞. The method includes: constructing a discrete-domain mathematical model of the permanent magnet synchronous motor; initializing the parameters of the fusion observation module; performing EKF time updates to obtain predicted state and covariance values; calculating the original residuals and constructing a weighted matrix using H∞ robustness parameters to obtain H∞ weighted residuals; adaptively adjusting the process noise covariance matrix and measurement noise covariance matrix of the EKF based on the H∞ weighted residuals; performing EKF measurement updates, calculating the fusion gain, and iteratively updating to obtain estimated rotor position and electrical angular velocity values; filtering and correcting outliers on the estimated electrical angular velocities, and applying them to the vector control of the permanent magnet synchronous motor. This invention significantly improves the accuracy and stability of sensorless control under complex operating conditions by dynamically fusing the high-precision estimation of EKF with the strong robustness of H∞.

This disclosure relates to a layout optimization method for a three-magnet rotary magnetic drive system, addressing the common problems of multi-degree-of-freedom magnetic drive systems that rely on multiple magnets to collaboratively generate magnetic fields for drive, including complex structures, prominent coupling between degrees of freedom, significant magnetic field crosstalk, poor output isotropy, and low space utilization. This solution systematically and multi-objectively optimizes the spatial position parameters and rotation axis pointing parameters of the three permanent magnets. Without increasing unnecessary structural complexity, it improves the minimum singular value of the control matrix, enhancing the system's effective controllability and operational stability in three-dimensional space. Simultaneously, it improves the directional uniformity of the magnetic field output and suppresses channel coupling and crosstalk, resulting in more balanced, predictable, and stable magnetic field vector control within the target area. This leads to a high-performance rotary magnetic field generator suitable for integration into the end effector of a robotic arm.

The present application discloses a flight control device, comprising: a processor; a first control stick communicatively coupled to the processor, the first control stick being configured to receive manipulation information inputted by a pilot and to provide a corresponding signal to the processor; and a second control stick communicatively coupled to the processor, the second control stick being configured to receive manipulation information inputted by the pilot and to provide a corresponding signal to the processor, wherein the processor is configured to use a signal corresponding to the manipulation information received from the first control stick and / or the second control stick in combination with a preset manipulation mapping relationship to generate a vector control command mapped from the manipulation information, and to control, on the basis of the vector control command, an aircraft to perform vector motion, and wherein when the vector control command is an aircraft heading control command, the processor is configured to control, on the basis of the aircraft heading control command and at least by means of tilt angle differential control and / or rotor rotational speed differential control and / or elevator-rudder deflection, the aircraft to perform yaw motion.

The utility model provides a kind of spray gun vector control device, it is related to environmental protection field of spraying dust suppression, including spray gun machine body, the spray gun machine body includes fixed frame, the side surface of fixed frame is connected with power output piece, the output end of power output piece is connected with spray bar, the outer surface of spray bar is equipped with a group of clamping grooves, the outer surface of spray bar is connected with fixed ring, one end of spray bar is communicated with mounting seat, the side surface of spray bar is communicated with guide pipe, the side surface of mounting seat is communicated with flange sheet, the side surface of flange sheet is equipped with a group of heat conduction grooves.The spray gun vector control device, by power output piece, can provide power for rotation, and cooperate with power output piece and clamping groove engagement, it can make spray bar rotate, and reduce the labor amount, simultaneously it is convenient to rotate, and cooperate with fixed ring, guide pipe and spray bar, can spray raw material to specified position, and improve the efficiency of spraying material, and save labor amount.

The present application relates to a kind of self-adaptive collaborative control method and system of intelligent integrated brushless vector stirrer, belong to industrial stirring control software technical field.The method uses the distributed architecture of "edge computing+cloud cooperation", and edge software is based on hierarchical modular design, and core includes multidimensional perception data preprocessing, multi-modal adaptive vector control, soft and hard collaborative drive control, hierarchical intelligent protection and fault diagnosis, cloud edge collaborative interaction management and other modules.It realizes the intelligent identification of three types of working conditions of low viscosity homogeneous phase, high viscosity heterogeneous phase and sediment suspension by support vector machine classifier, and dynamically switches magnetic field orientation control strategy;Adopt particle swarm optimization algorithm to online self-tuning PID parameter;Early warning is realized by constructing fault diagnosis model based on BP neural network;Adopt "early warning-current limiting-shutdown" three-level protection mechanism;Efficient cooperation between cloud and edge is realized by lightweight MQTT protocol;And plug-in architecture is used to support rapid adaptation and extension.