1882 results about "Motor torque" patented technology

The invention discloses a machine tool control method and system based on mechatronics, and the method comprises the steps: outputting an optimal cutting track sequence according to the three-dimensional model features and material attribute parameters of a machined workpiece; based on the optimal cutting track sequence, motion interference among shafts of the machine tool is eliminated through dynamic weight distribution, and an anti-interference optimization machining instruction is generated; constructing a nonlinear vibration wave propagation model according to the coupling relation between the spindle rotating speed and the feeding speed, and generating a steady speed regulation and control signal; generating an energy efficiency optimal parameter set including motor torque, cooling power and lubricating frequency based on the energy consumption efficiency constraint condition and the steady speed regulation and control signal; and outputting a closed-loop control signal and synchronously updating the three-dimensional machining precision thermodynamic diagram according to the real-time data in the machining process and the predicted deviation of the digital twin model. According to the embodiment of the invention, global optimization, dynamic adaptation and efficient operation of the machine tool can be realized, and technical support is provided for intelligent upgrading of the modern manufacturing industry.

A method for cooperative vehicle operation includes receiving a first target angle signal associated with a handwheel of a vehicle, receiving a second target angle signal associated with an autonomous steering system of the vehicle, and, in response to a determination that a handwheel angle error between the first target angle signal and the second target angle signal is less than a handwheel error threshold: generating a handwheel motor torque command based on a position control motor torque command and a torque control motor torque command; and controlling a position of the handwheel of the vehicle based on the handwheel motor torque command.

The invention relates to the technical field of automobile brake control, in particular to a self-adaptive brake kinetic energy recovery control method and system based on multi-sensor fusion. Tire wear and road surface feature data are collected through a multi-source sensing fusion unit, and a tire wear coefficient and a road surface friction coefficient are generated through an intelligent decision calculation unit; the method comprises the following steps of: integrating the nonlinear correlation of the multi-source sensing fusion unit and the self-adaptive control execution unit through a rule and data fusion algorithm, outputting a comprehensive friction coefficient, and dynamically adjusting the braking kinetic energy recovery force and response time by the self-adaptive control execution unit according to the comprehensive friction coefficient. The system comprises a multi-source sensing fusion unit, an intelligent decision calculation unit, the self-adaptive control execution unit and a closed-loop feedback calibration unit. The closed-loop unit corrects data deviation through cross validation of the laser radar and the motor torque inversion model, the problems of poor working condition adaptation and unreliable data are solved, and the kinetic energy recovery efficiency, the braking safety and the driving smoothness are improved.

A concrete mortar mixing and stirring system belongs to the technical field of concrete production equipment. Aiming at the problems that an existing stirring system is difficult to accurately judge the mixing uniformity of concrete mortar and the quality is easily influenced due to excessive stirring or insufficient stirring, the system comprises a stirring tank, a vibration signal acquisition unit, a torque monitoring unit and a control unit, stirring blades in a stirring tank are driven by a motor, a vibration signal acquisition unit captures a tank body vibration signal, a torque monitoring unit detects the torque change of the motor, and a control unit decomposes the tank body vibration signal into a frequency domain signal and extracts a preset aggregate collision vibration frequency band energy value to generate a vibration energy sequence; and analyzing the torque change fluctuation intensity to generate a torque variation coefficient sequence, calculating a correlation coefficient sequence of the two, generating an adaptive shutdown threshold by a sliding time window, and cutting off a motor power supply when the correlation coefficient sequence is continuously lower than the threshold for a preset number of times. The device is mainly used for automatic stirring control of concrete mortar, and precise starting and stopping of the stirring process are achieved.

The invention relates to the technical field of electric vehicles, in particular to an electric vehicle parking motor torque adjusting method. The problems that an existing electric automobile parking system is insufficient in parking force control precision, lagged in response and low in energy consumption efficiency under complex working conditions are solved. According to the method, a multi-dimensional vehicle running state, a driver instruction and environment sensing data are collected in real time, a vehicle-environment coupling dynamic model is established and updated in real time, then an adaptive model predictive control (AMPC) strategy is utilized, the future movement trend of a vehicle is predicted based on the dynamic model and a target parking demand, and the vehicle-environment coupling dynamic model is established and updated in real time. And the optimal torque instruction of the parking motor in the current control period is optimized and calculated, and the parking motor is driven to generate corresponding torque. High precision, high adaptability, high safety and high stability of parking torque adjustment can be achieved, the energy efficiency is effectively improved, the service life of parts is effectively prolonged, and the intelligent level is enhanced.

Systems and methods for clamping force estimation are provided. In one example, operations include generating a displacement-torque curve based on displacement data and motor torque data of an electric motor of the EMB system for a braking episode having a switchover time. The operations also include determining a high torque value and a low torque value at the switchover time from the displacement-torque curve. The operations further include calculating a friction coefficient based on the high torque value and the low torque value. The operations yet further include determining a non-linear coefficient from the displacement-torque curve. The operations include estimating a clamping force for a constant speed based on the friction coefficient and the non-linear coefficient.

A torque control apparatus in an electric vehicle includes a driving information detector that detects information indicating a vehicle driving state, a controller that generates a motor torque command for satisfying a demand torque based on vehicle driving information including the detected information, and a motor that is controlled according to the generated motor torque command. The controller determines whether there is a virtual shift demand according to the vehicle driving state in a drift mode, stops, when there is the virtual shift demand, determination and generation of a shift intervention torque for implementing a virtual shift feeling and determines a motor torque as a value that varies with a slope from a target torque before shift to a target torque after shift during virtual shifting in the drift mode, and generates the motor torque command using the determined motor torque as a command value.

The invention provides a new energy light truck energy distribution method and system, and the method comprises the steps: obtaining the position and track of a vehicle to obtain the road section data of a current driving road section, carrying out the data preprocessing of the road section data, and carrying out the fusion of the preprocessed data, so as to obtain the current load and driving state of the vehicle; inputting the preprocessed data into an initial energy consumption model, introducing a deep learning algorithm to dynamically adjust model parameters of the initial energy consumption model to obtain an iterated target energy consumption model, and obtaining energy consumption coefficient data according to the target energy consumption model; and a motor torque demand curve is generated in real time according to the current load, the road slope and the predicted endurance mileage, torque distribution data are adjusted in combination with an adaptive algorithm, the adjusted torque distribution data are transmitted into a vehicle power control system to obtain real-time operation data of the vehicle, and then energy distribution is conducted on the new energy light truck. According to the invention, the endurance prediction precision is improved, and the real-time adaptive optimization of torque distribution control is realized.

The invention discloses an electric locomotive three-dimensional digital-analog simulation teaching system constructed based on an unreal engine technology, and relates to the technical field of electric locomotive teaching. Comprising a three-dimensional model construction module which is used for generating a hierarchical three-dimensional model of electric locomotive equipment through combination of polygon modeling and parametric modeling; and the physical engine interaction module is integrated with an unreal engine physical system and is configured to process the real-time solution of the locomotive kinetic parameter equation set. According to the method, a highly accurate three-dimensional model is created by combining polygon modeling and parametric modeling on the complex equipment of the electric locomotive, the model can support detailed level-of-detail rendering so as to adapt to different observation distances, and in the physical engine interaction module, the model can be applied to the physical engine interaction module. Through the train longitudinal dynamics calculation unit, the traction transmission simulation unit and the braking system modeling unit, the system can simulate non-linear changes in the wheel-rail contact force, traction motor torque transmission and tread braking process in real time, so that various dynamic effects can be visually displayed in the teaching process.

The invention discloses an electro-magnetic doubly salient motor torque ripple suppression method based on harmonic double closed-loop control, and the method comprises the steps: constructing the harmonic double closed-loop control of a torque ripple outer ring and a current harmonic inner ring in an electro-magnetic doubly salient motor current source type drive system of a multiplexing excitation winding; a torque pulsation outer ring observes electromagnetic torque through a model reference adaptive method, pulsation components of the torque pulsation outer ring are extracted in combination with an adaptive notch filter, and a current harmonic inner ring given value is output through closed-loop regulation; the current harmonic inner ring extracts harmonic current by constructing a harmonic space decoupling transformation matrix and combining with a rotating coordinate system of corresponding subharmonics, current harmonics counteracting torque pulsation of the electro-magnetic doubly salient motor are generated through closed-loop adjustment, and the output characteristic of the motor is improved. According to the method provided by the invention, the torque ripple amplitude can be suppressed in a closed-loop manner, the given value of the harmonic current can be automatically adjusted, specific current harmonic injection is realized, the output torque ripple of the electro-magnetic doubly salient motor is eliminated, and the problems that a traditional harmonic injection method is not matched under different operation conditions of the motor and depends on motor parameters are solved.

The invention relates to the technical field of unmanned aerial vehicle control, and particularly provides a variable-load unmanned aerial vehicle control method and device, a medium and equipment, and the method can comprise the steps: carrying out the processing of an initial angular velocity parameter and an attitude angle parameter of an unmanned aerial vehicle through an outer ring observer, and obtaining an attitude angle estimation value and a first disturbance estimation value; determining target angular velocity data based on the attitude angle estimation value and the first disturbance estimation value; processing the system gain value, the angular velocity of the unmanned aerial vehicle and the motor torque by using an inner ring observer to obtain an angular velocity estimation value and a second disturbance estimation value; based on the angular velocity estimation value, the second disturbance estimation value and the system gain value, obtaining a flight control quantity; an unmanned aerial vehicle pulse signal is adjusted through the flight control quantity, and the unmanned aerial vehicle pulse signal is used for controlling the flight attitude of the unmanned aerial vehicle. According to the embodiment of the invention, effective control of the variable-load unmanned aerial vehicle can be realized.

The invention belongs to the technical field of cold-rolled strip steel shearing control, and provides a silicon steel shearing unit coiling tension automatic control method which comprises the steps that S1, a coiling tension preset value preset strategy is compiled for silicon steel according to the strip steel incoming material thickness and the finished product width, and an automatic tension matching model and a taper control model are established; s2, optimizing a current tension preset value by using an automatic tension matching model; s3, outputting a tension taper coefficient in real time according to the actual value of the coiling diameter of the steel coil by using the taper control model; s4, according to the real-time actual rolling diameter value, the tension taper coefficient and the tension preset value, a motor torque set value dynamically changing along with the actual rolling diameter value is output; strict execution of coiling tension technologies of different strip steel products is ensured, and the problems that the electromagnetic performance of a steel plate is degraded due to the fact that the coiling tension of the shearing procedure is too large, and coil collapse is caused due to insufficient tension are solved.

The invention relates to the technical field of vehicle control, and provides an ultralow-temperature power generation control method and system for an extended-range vehicle. Comprising the following steps: acquiring a driving power consumption predicted value, an accessory power consumption predicted value and a battery discharge power predicted value under the condition that the temperature of a power battery cell is lower than a preset temperature threshold value; performing a feedforward operation based on the driving power consumption prediction value, the accessory power consumption prediction value, and the battery discharge power prediction value to generate a first generator torque; the actual consumed power and the actual generated power of the vehicle are obtained; pID operation is carried out based on the difference value between the actual consumed power and the actual generated power, and a second generator torque is generated; superposing the first generator torque and the second generator torque to generate a generator target torque; and controlling the generator to execute the generator target torque. The generated power and the consumed power are dynamically balanced, and the rapid maneuvering capability of the vehicle under the ultralow temperature condition is achieved.

The invention discloses an embedded motor torque ripple real-time compensation system based on deep learning, and relates to the technical field of motor control and artificial intelligence crossing, the system comprises a hardware data acquisition module, a signal feature extraction module, a deep learning compensation model module, an embedded real-time compensation module and a compensation effect verification module; a motor position and a current signal are acquired in real time through the hardware data acquisition module, dynamic analysis and multi-dimensional feature construction are performed on torque ripple related features by combining the signal feature extraction module, and the deep learning compensation model module learns a fluctuation rule in historical data by using a space-time sequence model to generate a high-precision compensation current. The model adapts to an embedded environment through lightweight design, real-time deployment and dynamic optimization of a compensation algorithm are achieved, compared with traditional PID control, the scheme can adapt to changes of motor operation conditions, the influence of torque fluctuation on system stability is reduced, and the smoothness and efficiency of motor operation are improved.

The invention discloses a motor torque control method applied to a bilateral independent electrically-driven tracked vehicle. The method comprises the following steps: determining an instantaneous center position of a tracked vehicle during steering based on a kinematic model of the tracked vehicle independently driven by motors on two sides; determining a tracking position by searching a target point on a path, and calculating a current transverse deviation and a current course deviation in combination with the current position and course information of the tracked vehicle; the transverse deviation and the course deviation obtained through calculation serve as input, the yaw velocity of the vehicle during steering serves as output, and then the yaw velocity of the vehicle is obtained; then, the linear speeds of the two sides of the tracked vehicle are obtained through the established kinematics model of the tracked vehicle, and then the expected rotating speeds of motors on the two sides during steering are calculated; and finally, optimizing by adopting a fractional order PI lambda D mu controller and an improved particle swarm optimization algorithm, and calculating the optimal output torques of the motors on the left side and the right side of the tracked vehicle.

The invention relates to the technical field of driving control, and discloses a somatosensory driving control method and system of a scooter. The method comprises the following steps: acquiring an original somatosensory signal of the scooter; performing resonance amplification and multi-mode frequency mixing on the original somatosensory signal to obtain a somatosensory characteristic signal; establishing a scooter-rider coupling system dynamic model based on the somatosensory characteristic signal, and performing real-time state calculation to obtain a current state parameter and a state deviation value; performing motion sensing body weight distribution change mapping conversion on the current state parameter and the state deviation value to obtain a riding control demand parameter; and calculating a real-time driving control signal sequence according to the riding control demand parameters, and carrying out front and rear wheel motor torque dynamic distribution on the real-time driving control signal sequence to obtain a target motor driving execution instruction set. The problem of delay in traditional somatosensory control is eliminated, and safe and stable motor driving control is realized by combining dynamic torque distribution and a safety monitoring mechanism of road adhesion conditions.

A method of controlling motor torque in a vehicle comprises receiving torque requests; determining first upper and lower torque thresholds based on vehicle sensor information; determining second upper and lower torque thresholds; if consecutive torque requests are received that are between the first and the second upper torque threshold or between the first and the second lower torque threshold, summing up over time the consecutive torque requests between the first the second upper torque thresholds or between the first and the second lower torque thresholds to find a summed-up torque value; and if the summed-up torque value exceeds a summed-up torque limit, adjusting the second upper torque threshold and / or the second lower torque threshold. The first upper and torque thresholds are indicative of a range of allowable torque, and the second upper and lower torque thresholds set upper and lower limits which the motor torque cannot exceed.

The invention discloses a low-vibration permanent magnet motor for harmonic directional suppression rotor modification and a design method thereof. The structure and size of the permanent magnet motor are determined; analyzing the electromagnetic performance of the motor, and determining the harmonic order and phase of the radial permanent magnetic flux density; analyzing the vibration characteristics of the motor, and determining the main vibration frequency of the motor and the radial force order of dominant vibration so as to determine the order of the radial permanent magnetic flux density needing to be reduced; analyzing the relationship between the air gap magnetic conductance and the magnetic flux density, and determining the order and phase to which the air gap magnetic conductance needs to be added according to the distribution of the radial permanent magnet magnetic flux density to be reduced; a compensation function is established by adding air gap magnetic conductance which is opposite to the radial permanent magnetic flux density needing to be reduced, and the shaping position and shape are determined according to the period and shape of the compensation function; and considering the torque performance and stress of the motor, and determining the shaping depth. By adopting the method provided by the invention, the specific radial permanent magnetic flux density harmonic wave can be directly reduced, the vibration response can be effectively inhibited, and the torque performance of the motor can be ensured to be unchanged.

The invention relates to the technical field of new energy vehicles, and particularly discloses a control method, system and device for steep slope slow descent of an electric vehicle and a storage medium, and the method comprises the steps that a vehicle control unit calculates the required torque value of the vehicle at the actual vehicle speed based on the current gear, the actual vehicle speed, the slope, the vehicle mass and the state of a power battery; sending a negative torque request to the motor based on the demand torque value; the state of the vehicle is monitored, when it is monitored that the current state of the vehicle meets the preset abrupt slope slow descent function condition, according to the met abrupt slope slow descent function condition, the motor torque and air brake synergistic effect are dynamically adjusted based on the negative torque request, and the cruise switch of the abrupt slope slow descent function is controlled; therefore, the vehicle can run at a constant speed under the downhill road condition. According to the scheme, the abrupt slope slow descent function of the vehicle is controlled, potential safety hazards when the vehicle is driven on a high-speed downhill road section are avoided, and the safety of the whole vehicle is effectively improved.

The invention discloses a gear shifting control method and system for an electric vehicle, and the method comprises the steps: determining a gear adjustment type when a gear adjustment request is received in a driving process; according to the driving data and the gear adjustment type of the electric vehicle, the target torque of the motor is determined; determining a torque adjustment gradient according to the driving data of the electric vehicle, the current required torque of the driver, the required torque of the driver at the last moment and the gear adjustment type; and the motor control unit is called to adjust the motor torque of the electric vehicle according to the current torque, the target torque, the torque adjustment gradient and the gear adjustment type of the motor of the electric vehicle, so that gear shifting operation is completed, the impact feeling of the fuel vehicle during gear shifting can be simulated during gear shifting, and therefore the driving experience of a driver is improved.

The invention relates to the technical field of laboratory cabinet intelligent reconstruction, and discloses a low-voltage intelligent electric control titanium wire lock and a laboratory cabinet intelligent reconstruction system.The system is characterized in that an associated data space containing an environment sensing layer, a mechanical state layer and a safety evaluation layer is constructed through multi-sensor fusion, and multi-dimensional parameters such as temperature and humidity and vibration strength are integrated; feature sets are respectively obtained by using normal and abnormal feature extraction strategies, a common rule is extracted from different working condition strategies to construct a control strategy library so as to adapt to a new scene, abnormity is monitored in real time, and emergency strategies such as parameter adjustment and operation interruption are triggered. According to the low-voltage intelligent electric control titanium wire lock, titanium alloy wires are adopted to form multi-stage linkage spring bolt mechanisms such as a main spring bolt and an auxiliary spring bolt, an electric control driving unit executes a control instruction, and a state feedback unit uploads spring bolt positions and motor torque data in real time. According to the invention, intelligent monitoring, decision making and safety protection of the laboratory cabinet body are realized, and the management efficiency and safety are improved.

The invention belongs to the field of automobile electronic control, and provides an automobile part full-angle hovering control method and system and an automobile. The control method comprises the steps that the opening position of an automobile part is obtained, and the automobile part is an automobile door or an engine hood; determining a target motor torque of a support rod internal motor of a support rod group of the automobile part according to the opening position of the automobile part; wherein the supporting rod group comprises more than one supporting rod, and no damper is arranged in the supporting rod; calculating a target torque current of the motor in the stay bar based on the target motor torque; and according to the target torque current, a current loop closed-loop control mode is adopted to control the output torque of a motor in the supporting rod, so that hovering of the automobile part at the opening position of the automobile part is achieved. The invention further discloses an automobile part full-angle hovering control device, an automobile part control system and an automobile. According to the invention, rapid and accurate torque control of the motor in the stay bar is realized, and all-angle hovering of components under electronic control is realized.

The invention provides a vehicle slope sliding dynamic control method and system based on multiple modes. The method comprises the steps that running state parameters of a vehicle are obtained in real time, wherein the running state parameters comprise the actual rotating speed of a motor, the actual torque of the motor, gear information, the opening degree of an accelerator pedal, the opening degree of a brake pedal and vehicle fault information; on the basis of the running state parameters, the ramp sliding state of the vehicle is determined; according to the ramp sliding state, a parking control mode of the vehicle is dynamically selected, and the instantaneous motor actual torque of the vehicle at the corresponding moment is obtained and stored when the parking control mode is switched; and on the basis of the parking control mode, the actual torque of the motor, the vehicle load and operation of a driver, a motor control instruction used for adjusting the target torque of the motor or used for controlling and releasing the parking action is generated, so that anti-slip control in the vehicle starting process is achieved.

The invention discloses a permanent magnet synchronous motor joint simulation method, which comprises the following steps of: firstly, establishing a permanent magnet synchronous motor finite element model in Maxwell, and defining material nonlinear characteristics and motion boundary conditions; a motor drive control circuit is constructed in Simplorer, the finite element model is imported through a Twinbuild tool, and an electromagnetic-circuit joint simulation environment is established; creating a motor multi-body dynamic model and an external load model in Adams, and respectively exporting the motor multi-body dynamic model and the external load model into an FMU format and an Adamssub format; and finally, establishing an electromagnetic-circuit-mechanism joint simulation platform in the Simulink, and executing joint simulation. Compared with traditional joint simulation, according to the method, through electromagnetic-circuit-mechanism three-field real-time interaction, the motor can sense the load sudden change working condition, then the torque and current of the motor are rapidly adjusted through the PI controller, the problems that in engineering practice, the external load of the motor is not real, and the abnormal load is detected are solved, and the reliability of the motor is improved. And the crossing from an ideal load to an actual load is realized.

The invention provides a distributed driving vehicle preset performance fault-tolerant control method and system based on an adaptive neural network observer. The method comprises the following steps: constructing a vehicle dynamics model containing motor faults and unknown disturbance; in order to realize real-time estimation of faults and disturbance and break through the limitation on disturbance derivative boundaries, a self-adaptive neural network observer is designed; aiming at the problem that the control direction is uncertain, an upper-layer controller is designed based on a preset performance control theory, a Nussbaum function and an obstacle Lyapunov function are introduced, it is ensured that system dynamic errors meet preset performance constraints all the time, and accurate tracking control over the transverse force, the longitudinal force and the yawing moment of a vehicle is achieved; in order to improve the system coordination capability under the multi-motor fault working condition, an optimal torque distribution model fusing the motor torque constraint and the tire force limit is constructed, collaborative optimization control of the driving and steering system is realized through a quadratic programming algorithm, and the stability and safety of the whole vehicle in the fault state are improved.

The embodiment of the invention provides an assisting power output control method of an electric bicycle, the electric bicycle and a storage medium, and the method comprises the steps that the current motor rotating speed of the electric bicycle and the current torque value applied to pedals of the electric bicycle are collected; adjusting the cut-off frequency of a first low-pass filter based on the current motor rotating speed, and filtering the current motor rotating speed through the adjusted first low-pass filter to obtain a smooth rotating speed; determining a motor torque compensation value based on the motor rotating speed fluctuation quantity between the smooth rotating speed and the current motor rotating speed; and determining a motor torque output value based on the motor torque compensation value and the current torque value, and controlling the power output of the electric bicycle according to the motor torque output value. By means of the power assisting device, the technical problem that power assisting output of the electric bicycle is not smooth due to mechanical shaking or resonance is solved.

The present invention provides a rotor punching, a rotor core, a rotor, a motor, and a vehicle. The rotor punching is provided with a plurality of mounting slots for mounting permanent magnets. A pole arc region is defined between the portion of any mounting slot adapted for the permanent magnet and the outer periphery of the rotor punching. A magnetic isolation bridge is provided on both sides of any pole arc region along the circumferential direction of the rotor punching. A plurality of through holes are provided in any pole arc region, and the plurality of through holes are distributed at both ends of the pole arc region adjacent to the magnetic isolation bridge. The rotor punching provided by the present invention optimizes the rotor magnetic field distribution by providing through holes at the ends of the magnetic isolation bridges on both sides of the pole arc region, effectively weakening the quadrature-axis armature reaction, significantly improving the motor torque pulsation, and also enhancing the electromagnetic torque of the motor to a certain extent, thereby improving the motor's operating performance.

The invention belongs to the technical field of electric vehicles, and discloses a motor control method, device and equipment and a storage medium. The method comprises the steps of monitoring the demand torque and the running speed of a current vehicle; according to the driving speed, matching an expected zero-setting torque interval set to determine an expected zero-setting torque interval; and when the required torque is in the expected zero-setting torque interval, the torque of the motor is set to be zero. According to the scheme, on the premise that drivability and dynamic property of the vehicle are not affected, when the vehicle runs and the target driving force is smaller than or equal to the threshold value, the purposes of reducing power consumption, increasing endurance mileage and improving comfort can be achieved by reducing the torque output of the motor or setting the target driving force to be 0.

The invention provides an electromagnetic interference motor-driven frequency converter control method and system and a medium, and relates to the field of motor control, and the method comprises the steps: collecting an electromagnetic interference signal in real time during the operation of a motor-driven frequency converter, generating interference spectrum data, carrying out the dynamic switching adjustment of the frequency converter, and generating an anti-interference modulation instruction; reconstructing a pulse waveform according to the anti-interference modulation instruction to carry out harmonic compensation, carrying out feedback verification based on the optimized driving signal, carrying out electromagnetic interference judgment according to a motor torque fluctuation value, and generating a judgment result; and triggering a parameter updating instruction based on the judgment result, and driving a frequency converter to perform adaptive control through the parameter updating instruction to generate a frequency conversion control result. The technical problem that a frequency converter control method in the prior art is limited in resistance to electromagnetic interference and affects the running stability of a motor is solved. The technical effects of improving the electromagnetic interference suppression capability and ensuring the stable and reliable operation of the motor are achieved.

The invention discloses an electric inertia simulation braking power test bench and an electric inertia control method thereof, and relates to the technical field of electric transmission simulation of flywheels, the electric inertia simulation braking power test bench comprises a motor, an incremental encoder, a main shaft, a flywheel, a force arm frame, a mechanical friction braking torque sensor, an electric transmission control system and a brake disc; an incremental encoder is installed at the rear end of the motor, the transmission end of the motor is connected with the main shaft through a coupler, the flywheel is installed on the main shaft, a brake disc is installed on the force arm frame, and meanwhile the force arm frame is connected with a mechanical friction braking torque sensor. According to the invention, the angular speed, the angular displacement and the mechanical friction braking torque are synchronously collected, and the motor torque is calculated and given, so that the test bench operates in a state of approaching an equivalent flywheel and equivalently having no system resistance; the algorithm can control the total error within a very small range; accurate matching of rotational inertia is achieved, and the control precision can meet the high-precision test requirement. And investment and operation cost are saved.