413 results about "Motor load" patented technology

The invention relates to the field of fault detection, and discloses a fault online diagnosis method for a low-speed large-torque motor control system, and the method comprises the steps: collecting the multi-dimensional parameters of the three-phase current of a motor, the voltage of a DC bus, the position of a motor rotor, the speed of the motor rotor, and the temperature of a radiator based on a sensor group; carrying out data preprocessing on the collected multi-dimensional parameters to remove noise interference; extracting fault features related to current, voltage, rotor motion and temperature from the preprocessed data; a dynamic threshold value is constructed based on fault features, non-fault parameter fluctuation and fault abnormity are distinguished through multi-feature correlation analysis, and online fault diagnosis is achieved; and finally, outputting a diagnosis result containing the fault type and the fault early warning information. Through multi-dimensional parameter acquisition and dynamic correlation diagnosis, the comprehensiveness and accuracy of fault diagnosis are improved, the false alarm rate is effectively reduced, and the method can adapt to the complex working conditions of load fluctuation and rotating speed switching of the low-speed large-torque motor.

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 discloses a variable frequency motor load testing device and method, and relates to the technical field of variable frequency motor testing, and the device comprises a motor testing installation platform, a fastening T-shaped bolt, two variable frequency speed regulation asynchronous motors of the same model, a drum-shaped coupler, two inverters, a rectifier, a three-phase voltage regulator, a frequency converter and an intermediate DC link. According to the invention, two frequency conversion speed regulation asynchronous motors of the same model are coaxially connected, and the power generation electric energy of the accompanying test motor is fed back to an intermediate direct current link through an inverter, so that the cyclic utilization of the electric energy and the dual-motor structural design are realized, complex load equipment does not need to be configured, and the fixed asset investment is reduced; for motors of different models, only corresponding accompanying test motors need to be replaced, the universality is improved, through voltage and current monitoring in an intermediate direct current link and motor rotating speed and torque parameter collection, and by combining a multi-dimensional performance evaluation model, precise evaluation of the motor load performance is achieved, the test efficiency is improved, and the strict test requirements are met.

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 relates to the technical field of gear detection, in particular to a gear wear detection method and system of a gear motor. According to the method, firstly, all fault characteristic frequencies are obtained based on historical vibration signals of a fault gear, then vibration signals of a to-be-detected gear are divided into a plurality of local impact sub-segments, and the local frequency spectrum of each local impact sub-segment and the kurtosis of each frequency in the local frequency spectrum are obtained; fitting a fuzzy estimation signal of the vibration signal in combination with power distribution under each fault characteristic frequency in the time-frequency spectrum, and then modulating the vibration signal in combination with a motor load condition; and finally analyzing a frequency spectrum signal of the modulation vibration signal, and evaluating the early wear type of the gear to be detected. According to the method, the vibration signal is modulated by analyzing the covering interference of noise and motor load on local wear impact, and the frequency modulation effect and the amplitude modulation effect are further analyzed in the frequency domain of the modulated vibration signal, so that the early wear type is accurately distinguished, and the gear wear detection effect is improved.

The invention relates to the technical field of hydraulic engineering control, and discloses a hoist opening degree stroke data processing method and system.The hoist opening degree stroke data processing method comprises the steps that in the valve closing process, two sets of real-time data of motor loads and valve displacement are continuously obtained; when continuous lifting exceeding background noise appears in the motor load data for the first time, marking the moment as an initial contact point; starting from the initial contact point, recording two groups of real-time data of motor load and valve displacement at a preset sampling frequency, and calculating a resistance change rate = delta load / delta displacement; the resistance change rate and a preset collision threshold value are compared to control opening and closing, motor load and valve displacement data are monitored in real time, and the resistance change rate is calculated, so that in the valve closing process, the contact point of the valve and a water seal or a foreign matter is accurately recognized, flexible compression and rigid collision are effectively distinguished according to the change trend of the resistance change rate, and the safety of the valve is improved. Misjudgment is avoided, and the safety and reliability of operation of the hoist are improved.

The invention relates to the technical field of electromechanical hydraulic systems, and particularly discloses a low-temperature cold start control method based on high-frequency injection, which comprises the following steps: analyzing a motor state, and carrying out observation and feed-forward compensation on disturbance caused by the motor state to a load torque and a viscosity coefficient through a sliding mode observer algorithm; according to the motor state, obtaining a state equation, constructing an extended sliding mode observer equation, deriving to obtain an observer error equation, and observing the load torque; analyzing the obtained load torque, wherein the motor load torque reflects the oil viscosity; high-frequency current injection, injection frequency control, skin effect enhancement and current amplitude control are carried out in a low-temperature state according to an oil viscosity result, copper loss and a high-frequency magnetic field eddy current effect are used for assisting heat generation, and according to a final oil viscosity result, when electromagnetic heat generation viscosity is reduced and a load is reduced, an injection voltage amplitude is gradually reduced. And after a normal starting condition is reached, switching to normal id = 0 control.

The invention discloses an electric control system of an electric workover rig, which comprises a control module, a driving module, an execution module, a data acquisition module and a monitoring module, and is characterized in that the control module is used for controlling the starting, stopping, up-down moving and rotating actions of the workover rig through a PLC, the driving module comprises a variable-frequency inverter and a bidirectional DC / DC converter, the variable-frequency inverter is used for driving a motor load to operate, and the bidirectional DC / DC converter is used for controlling the motor load to operate. The bidirectional DC / DC converter is used for carrying out charging and discharging management on the energy storage battery, and the execution module is used for completing the control action of the workover rig according to an instruction sent by the control module. According to the invention, the visual monitoring module, the fault detection and alarm module and the multi-modal data fusion analysis module are matched, and real-time data acquisition and image capture are carried out on key parts of the electric control system, so that real-time safety monitoring is carried out on the key parts; and key parts are monitored in real time, and the use condition can be checked at any time, so that the use safety of the electric workover rig is improved.

The invention relates to the technical field of voice recognition, and discloses a voice instruction recognition and cleaning control method for a sweeping robot, which comprises the following steps: synchronously reading a dust collection motor driving pulse width modulation value and a rolling brush motor load current value of the sweeping robot while acquiring an audio signal acquired by a microphone; retrieving and interpolating in a preset working condition noise spectrum mapping table according to the non-acoustic operation state data, determining a predicted mechanical noise power spectrum at the current moment, taking the predicted mechanical noise power spectrum as a priori reference, calculating an instantaneous signal-to-noise ratio of the predicted mechanical noise power spectrum and the frequency domain feature sequence, and constructing a frequency domain confidence mask; according to the method, a feedforward prediction mechanism is constructed by introducing non-acoustic prior information, and response lag of traditional acoustic posteriori estimation during sudden change of working conditions is avoided.

The invention discloses a fan coil abnormal state diagnosis method and system, and the method comprises the steps: obtaining a fan current waveform and a coil vibration signal, and building a heat exchange efficiency reference based on a motor load change characteristic and a heat exchange tube vibration mode; identifying an efficiency sudden drop area, positioning a heat exchange dead zone expansion range, generating heat transfer coefficient jump data, and determining a heat exchange abnormal position table; obtaining temperature difference of supply water and return water and opening change of a water valve, and forming waterway unbalance characteristics through coupling analysis of water flow pulse characteristics and flow state conversion points; identifying an airflow field offset based on the heat exchange abnormal position table and the waterway imbalance feature, determining a diagnosis focusing area and generating a layered detection sequence; carrying out active and passive damage classification, extracting a damage development rate, and generating a damage superposition coefficient; and a fault coupling amplification area is identified, damage synergistic effect data is generated through chain propagation analysis, comprehensive diagnosis of the abnormal state of the fan coil is completed, and accurate identification of multiple abnormalities and accurate positioning of fault root causes are realized.

A method for controlling a DC brush motor includes: determining a speed difference signal based on a difference between a speed command signal and a motor speed; determining an initial voltage command based on the speed difference signal; determining a final voltage command based on the initial voltage command; applying a DC voltage based on the final voltage command to cause the DC brush motor to rotate a lead screw and move a load along a path; determining a disturbance torque; and compensating for the disturbance torque by at least one of: determining a feedforward voltage command based on a position of the load along the path and determining the final voltage command as the sum of the initial voltage command and the feedforward voltage command;or determining a speed compensation signal based on the disturbance torque and determining the speed difference signal further based on the speed compensation signal.;

The invention discloses a self-adaptive steering control method and system for a heavy electric transmission tracked vehicle, and the method is realized through cooperation of two core modules: firstly, a motor load inertia identification module adopts an improved recursive least square method; a dual-mode covariance matrix updating mechanism is dynamically triggered based on state parameters such as vehicle yaw velocity and load inertia difference, system changes are sensed in real time, and load inertia identification convergence is accelerated; and secondly, the driving motor control module automatically adjusts proportional integral parameters according to an identification result and generates a self-adaptive inner and outer side steering torque instruction, so that the steering trajectory tracking precision is remarkably improved. Traditional parameter debugging limitation is broken through, the steering response speed is increased under the complex working condition, the manual debugging cost is reduced, meanwhile, driving safety is guaranteed through a fault degradation mechanism, and various transmission frameworks such as pure electric / hybrid power are compatible.

The invention requests to protect a multi-sensor fusion adaptive motion control system and method for a boat-type lotus root harvester, and the system comprises a multi-sensor array which is used for obtaining the position, posture, speed, inclination angle and motor load information of the lotus root harvester, and comprises a GPS, an IMU, a current sensor and an encoder; the microcontroller is used for running an extended Kalman filter (EKF) data fusion algorithm, a multi-mode PID self-adaptive control algorithm, a pure tracking path planning algorithm and a nonlinear model prediction control algorithm, and comprehensively considering path tracking precision, control smoothness and multiple constraint conditions in a prediction time domain through a rolling time domain optimization strategy; generating an optimal control instruction according to the state estimation; the executing mechanism comprises a walking motor and a steering engine and is used for responding to the control instruction and driving the lotus root harvester to move; the invention discloses a Simulink hardware-in-the-loop verification system.

The utility model discloses a brushless motor load detection device, and specifically relates to the motor load detection device technology field, the brushless motor load detection device comprises a control panel, a load assembly, a torque sensor and a limiting mechanism, the side surface of the control panel is provided with the load assembly, and one side of the load assembly far away from the control panel is provided with the torque sensor; a torque sensor is arranged on the load assembly, a limiting mechanism is placed on the side, away from the load assembly, of the torque sensor and comprises a clamping assembly, a moving assembly and a sliding assembly, the moving assembly is installed above the sliding assembly, the clamping assembly is installed above the moving assembly, and all the assemblies can be controlled and monitored in a centralized mode through a control panel; the automatic detection process and data recording are realized, and the working efficiency and the accuracy of measured data are improved.

The invention relates to the technical field of motor testing devices, and provides a propeller motor load characteristic simulation testing device, which comprises a bracket (10), a turntable (20), a plurality of electromagnets, a load motor (50) and a detector (40), the turntable (20) is arranged in the bracket (10), and the propeller motor (100) can drive the turntable (20) to rotate; the electromagnets are used for providing radial force load, axial force load and unbalanced bending moment load for the output shaft; the load motor (50) is used for applying torque to the output shaft; the detector (40) is used for detecting the radial force load, the axial force load, the unbalanced bending moment load and the torque of the output shaft. The propeller motor load characteristic simulation test device can simultaneously, independently or compositely test the radial force load, the axial force load, the unbalanced bending moment load and the torque of the output shaft of the propeller motor (100), and multi-dimensional simulation of the load of the propeller motor is realized.

The invention discloses a lifting type stirring reaction kettle which comprises a base, a stand column, a first moving assembly, a second moving assembly, a first fixing assembly, a second fixing assembly and a glaze spraying assembly, the bottom of the base is fixed to the ground, the stand column is vertically fixed to the top of the base, and the second moving assembly is arranged on the first moving assembly. The glaze spraying assembly is arranged on the second moving assembly, the first fixing assembly and the second fixing assembly are arranged in parallel and located on the two sides of the stand column, and the second moving assembly drives the glaze spraying assembly to move to the position above the first fixing assembly or the second fixing assembly. The first moving assembly drives the glaze spraying assembly to be close to the bottom of the first fixing assembly or the second fixing assembly. The lifting type stirring reaction kettle is high in stirring efficiency, small in motor load and simple and reliable in structure.

The invention relates to a multi-motor load balance control method based on a normalized current average value, and the method comprises the following steps: S1, collecting an actual torque current feedback value and a corresponding rated current value of each loop motor, S2, carrying out the normalization processing of the current feedback values according to the rated value, and calculating a normalized current average value, s4, an extreme value search control algorithm framework is established, and a gain coefficient is optimized by using the framework; S5, gain adjustment is carried out on a deviation value; and S6, respective speed compensation is superposed to an original speed instruction to form a new target speed instruction, and the new target speed instruction is sent to a frequency converter, so that real-time closed-loop adjustment of the multi-motor load is realized. According to the scheme, real-time closed-loop coordination of the power of each motor in the multi-motor driving system is realized, and the operation consistency and robustness of the system are enhanced.

The invention provides a self-adaptive control method and system for an extrusion screw of a plastic extruder, and relates to the technical field of plastic recovery and regeneration, and the method comprises the following steps: collecting operation data of the plastic extruder; calculating a change trend and an effective value according to the machine head melt pressure; a three-level partition model is constructed, a pressure deviation value is calculated based on the effective value and the target reference value, and a pressure control area is generated according to a comparison result of the pressure deviation value and a pressure threshold value; performing consistency judgment on the change trend and the pressure demand direction to generate an adjustment coefficient, and performing step length correction by combining a pressure control region and a motor load current to generate a rotating speed adjustment amount; the to-be-executed rotating speed of the screw is calculated in combination with the real-time rotating speed of the screw, acceleration limiting processing is carried out to generate the target rotating speed of the screw, and the target rotating speed is coded into a control instruction to be sent to the driving unit, so that the self-adaptive control effect of the extrusion screw can be achieved, and false pressure fluctuation caused by material hardness change is effectively prevented; the extrusion stability and the response speed are obviously improved.

The invention relates to the crossing field of mechanical engineering and automatic control, discloses a rapid and accurate prediction positioning method and system for a linear motion module of an industrial robot, and aims to solve the problem of dynamic positioning deviation caused by factors such as elastic deformation, a mechanical gap and a heat effect under high-speed motion. The method comprises the following steps: collecting vibration, strain, temperature and motor load data in real time through a multi-mode sensor array; constructing a space-time dynamic state encoder based on module physical topology, and fusing time sequence convolution and a graph neural network to generate system state representation; predicting a future positioning error of the end effector by using an attention mechanism in combination with a future motion instruction; and a feedforward compensation signal is generated through an inverse dynamic model, and is superposed with an original instruction to form a composite driving instruction. According to the method, control normal form transition from passive feedback to active prediction is realized, and the positioning precision and the movement efficiency under the high-speed working condition are remarkably improved.

The invention belongs to the technical field of motor detection, and discloses an industrial automatic motor detection method and system, and the method comprises the steps: obtaining motor mechanical performance data, motor electrical performance data and motor environment data; de-noising the motor mechanical performance data and the motor electrical performance data by adopting a dynamic error constraint recursive filtering method to obtain a filter output data set, and generating a pre-processing data set; aiming at the preprocessed data set, constructing a multi-modal driving enhanced regression technology, and predicting motor load data; performing space-time association based on the motor load data and the motor environment data, and constructing a space-time association diagram; the time-space association graph is embedded into a multi-criterion Gaussian detection method to calculate the comprehensive probability density of data points; a standard threshold value is set, and when the probability density of the real-time data points deviates from the standard threshold value, a grading early warning mechanism is triggered; the accuracy and reliability of motor detection can be improved, and an efficient solution is provided for real-time monitoring and maintenance of an industrial automatic motor.

The invention discloses a hardware-in-the-loop-based seat adjustment testing device and an automatic parameter calibration method. The device comprises an upper computer, a CAN board card, an HIL test platform, a seat VIU controller and a to-be-tested seat. According to the method, the whole travel of a seat is divided into non-uniform density position intervals, PID parameters of all the intervals are dynamically optimized based on a step response curve, and a calibration parameter MAP is generated after preset performance constraints are met. The core innovation lies in that the HIL platform simulates the motor load and mechanical resistance characteristics with high precision; an XCP protocol is adopted to realize uninterrupted online parameter refreshing; and a partition calibration strategy is combined with a dead point buffering mechanism to improve the control precision and safety. The seat calibration efficiency and precision are remarkably improved, and the method is suitable for development of an automobile seat control system.

The invention discloses a hybrid self-switching bidirectional wireless switched reluctance motor driving system provided and realized by the invention. An independent demagnetization loop is arranged on the motor side, rapid demagnetization is allowed, and energy recovery is achieved. The system wirelessly drives a multi-phase SRM through a single power transfer channel using a single resonant frequency to reduce coupling between multiple power channels. When the WPT system is in forward power, the LCC-S compensation network is adopted to drive the motor load, and the advantage of constant voltage gain when the load changes is achieved; the LCC-LCC / S hybrid self-switching compensation network is adopted to realize charging of a battery load, and has a constant voltage / constant current characteristic; and when the WPT system has negative power, the LCC-LCC compensation network is adopted to realize reverse recovery of energy, and energy interconnection between the motor and the power grid is realized. In addition, an SR motor does not need to be specially designed, and the system has the remarkable advantages of phase current balance, flexible transmission distance, high integration level, maintenance-free property and the like.

The invention discloses a pressure self-adaptive regulation and control method for an oil pressure driving honing head, and relates to the technical field of honing head pressure control evaluation, and the method comprises the steps: integrating multi-source sensor data, including honing head vibration amplitude, oil pressure system pressure fluctuation frequency and main shaft motor load current, and comprehensively calculating a honing state index; therefore, the processing state is accurately evaluated. The method has the technical effects that early-stage signs of abnormal machining can be automatically identified, for example, safety, early warning and abnormal states are distinguished through threshold interval division of honing state indexes, and corresponding pressure adjustment strategies are executed. The current pressure is maintained in the safe state, proportional regulation and control are carried out in the early warning state to slightly correct the pressure, and great adjustment or emergency shutdown measures are taken in the abnormal state, so that machining quality reduction or equipment damage caused by pressure inadaptation is effectively avoided. According to the method, continuous self-adaptive regulation and control in the machining process are achieved, the manual intervention requirement is reduced, the honing precision, the equipment reliability and the production efficiency are improved, meanwhile, the fault risk is reduced through the early warning and shutdown functions, and the method is suitable for high-requirement precision machining scenes. And monitoring and adjustment are executed circularly, so that the stability and consistency of the whole machining process are ensured.

This application discloses a drying control method, apparatus, dryer, and computer-readable storage medium, belonging to the field of dryer technology. The method includes: acquiring motor operation data and temperature and humidity data during the operation of the dryer; extracting features from the motor operation data to obtain motor load features, and extracting features from the temperature and humidity data to obtain temperature and humidity features; determining the load features of the clothing in the dryer based on the motor load features and the temperature and humidity features; determining target control parameters based on the load features; and controlling the operation of the dryer based on the target control parameters. In this way, accurate sensing and adaptive drying of different mixed clothing can be achieved without adding complex sensors, thereby effectively improving the drying effect.

The application relates to the technical field of robots, and discloses a kind of two-degree-of-freedom parallel ankle joint mechanism of humanoid robot and kinematics and mechanics solving method, including seven-link transmission structure, which is composed of two groups of closed-chain transmission of parallel four-bar linkages.Motor I and II are installed on the upper end of the lower leg, and the rotation drives link IV and III to move through link I, II, V and VI, and then coupled control ankle joint pitch and lateral freedom degree.The mechanism realizes load balancing of double motors through parallel transmission, improves equivalent torque, and can combine kinematics and mechanics solving method, so that precise control can be realized only by motor feedback, sensor cost is reduced, and is suitable for high stability motion demand of biped robot.

The application provides an engine aftertreatment temperature adjusting method, device and electronic equipment. The method comprises the following steps: obtaining a DOC upstream temperature, a current carbon deposition rate and a cumulative carbon load; determining a target temperature according to the DOC upstream temperature, the current carbon deposition rate and the cumulative carbon load, and obtaining a temperature difference between the target temperature and the DOC upstream temperature; obtaining a current battery actual power and an engine speed, and determining a motor set load according to the temperature difference, the current battery actual power and the engine speed; and controlling the motor to operate at the motor set load to adjust the engine load, so that the engine aftertreatment temperature is maintained within a preset range. According to the scheme, the engine load is adjusted by adjusting the motor load, so that the exhaust temperature is controlled within a reasonable range.

A motor drive device (1) comprises a control unit (20) that controls the operation of an inverter circuit (11), as well as a current sensor (22) and a bandpass filter (13), which together form a sensing unit for detecting a ripple current flowing to a smoothing capacitor (10). The control unit (20) comprises a current waveform sensing unit (12) that detects a current waveform and a current value of the ripple current based on a sensing value from the sensing unit.The control unit (20) performs a first determination operation to establish a threshold for the current value of the ripple current detected by the current waveform detection unit (12), using a first threshold value. It then performs a second determination operation to establish a threshold for a specific frequency component included in the current waveform of the ripple current, using a second threshold value. Based on the results of the first and second determination operations, the control unit (20) determines whether to decrease the degree of torque control to change a motor current in accordance with a change in the load torque of a motor (4a), or whether to decrease the motor speed of the motor (4a), and controls the torque control degree or the motor speed accordingly.

The invention discloses a high-performance motor driving method based on a motor control algorithm, and the method comprises the steps: carrying out the power connection, inputting a power supply, determining a current requirement according to a motor load, connecting a motor, accessing a communication interface, opening a project directory, entering a development environment, compiling a project, adding a motor control algorithm, burning a program, and carrying out the software burning and communication burning. LIN interface connection is carried out, correct connection is ensured, a corresponding control instruction is sent, instruction format description is carried out, a motor is controlled, electrical parameters during motor control are monitored in real time, and resistance, voltage and capacitance are monitored. According to the high-performance motor driving method based on the motor control algorithm, the MCU is matched with the direct-current brush motor, position detection is carried out through the Hall sensor, the motor control algorithm is input, burning is carried out through LIN communication, multiple working modes are supported, and the high-performance motor driving method has the advantages of being high in precision, high in efficiency and high in reliability.

This invention specifically relates to a drive device for controlling the swinging of a button clip in a button-attaching machine, belonging to the field of sewing machine technology. It includes a button clip, and the button clip and drive device transmit driving force through a clip holder. The drive device includes a swing arm with a rotating shaft supporting its swing. A motor is mounted at one end of the swing arm, driving the swing arm to swing back and forth. A connector is mounted at the other end of the swing arm, and the connector is movably connected to the clip holder. The connector transmits driving force to cause the clip holder to swing. The button clip is mounted on the clip holder, causing the clip holder to drive the button clip to swing. This device has a simple structure, saving internal structural space and reducing transmission components. It uses a direct-drive motor to the swing arm to drive the clip holder's swing, saving manufacturing costs. The simplified structure is more stable, with higher drive stability, reduced failure rate, reduced motor load, more efficient power output, and a longer overall service life.

The application relates to a single-current field-weakening trajectory control method for a permanent magnet synchronous motor of an electric vehicle, and belongs to the field of field-weakening control technology of the permanent magnet synchronous motor of the electric vehicle. The method solves the problems of the complicated double-current field-weakening control method and the incapability of deep field weakening in the prior art. The method comprises the following steps: collecting the mechanical angular velocity and the load torque of the permanent magnet synchronous motor in real time; when the mechanical angular velocity is within the base speed range, controlling the direct and quadrature axis currents of the permanent magnet synchronous motor to run on a first trajectory; when the mechanical angular velocity exceeds the base speed range, controlling the permanent magnet synchronous motor through single-current control; when the load torque is not increased, controlling the direct and quadrature axis currents to run on a second trajectory; when the direct and quadrature axis currents of the permanent magnet synchronous motor run on the second trajectory and the load torque is increased, controlling the direct and quadrature axis currents to run on a third trajectory; and when the load torque of the motor is stable, controlling the direct and quadrature axis currents to run on a fourth trajectory. The single-current field-weakening trajectory control of the permanent magnet synchronous motor of the electric vehicle is realized.