1352 results about "Electromotive force" patented technology

The invention discloses a hybrid effective flux linkage observer and a permanent magnet synchronous motor control method, device and system. The method comprises the following steps: carrying out Clarke conversion on an obtained three-phase current of the permanent magnet synchronous motor to obtain a current in a static coordinate system, and carrying out park conversion based on rotor position information to obtain a current in a synchronous rotating coordinate system; the effective flux linkage of the permanent magnet synchronous motor is obtained through the hybrid effective flux linkage observer; on the basis of the obtained effective flux linkage of the permanent magnet synchronous motor, dead-zone compensation voltage is obtained through self-adaptive gain dead-zone compensation calculation based on back electromotive force reconstruction, and the rotating speed and the rotor position of the permanent magnet synchronous motor are obtained through phase-locked loop calculation; according to the rotating speed and the rotor position of the permanent magnet synchronous motor, the current under the synchronous rotating coordinate system, the dead zone compensation voltage and the obtained reference rotating speed and reference current, the reference voltage of the motor at the k moment is obtained through a rotating speed loop and a current loop and used for achieving low-speed position-sensorless control over the permanent magnet synchronous motor.

The invention discloses a stator double-permanent-magnet flux reverse motor, and belongs to the technical field of motors. The motor comprises a stator, a rotor, tangential permanent magnets, Halbach array permanent magnets and windings, the stator is of a double-salient-pole structure formed by combining T-shaped stator iron core blocks. The rotor and the stator are coaxially assembled, and an air gap is reserved between the rotor and the stator. The tangential permanent magnets are installed between the stator iron core blocks and magnetized in the tangential direction, and the adjacent directions are opposite. The Halbach permanent magnets are arranged at the openings of the stator slots, so that the Halbach permanent magnets have a magnetism gathering effect and can provide relatively high air gap flux density; the winding adopts a double-layer centralized design and is embedded into a stator slot; the tangential permanent magnets and the Halbach permanent magnets form a parallel magnetic circuit, and the air gap flux density and the torque density are improved through magnetic field superposition; the number of winding pole pairs meets a specific formula, and the motor structure can be optimized through a finite element method. Compared with a traditional motor, the motor has higher air gap flux density, no-load back electromotive force and torque, lower torque pulsation and a higher power factor, and the electromagnetic performance and the operation stability are remarkably improved.

The invention discloses a motor control method and device, a motor, an air compressor, a storage medium and a computer program product, and the method comprises the steps: carrying out the processing of the components of the stator voltage of the motor on the alpha and beta axes and the components of the stator current of the motor on the alpha and beta axes through a preset sliding mode observer module, and carrying out the control of the motor; the components of the counter electromotive force estimated value of the motor on the alpha and beta axes are obtained; based on the components of the back electromotive force estimation value of the motor on the alpha axis and the beta axis, after a preset phase-locked loop module and a preset staged angle compensation module are used for processing, a rotor electrical angular speed estimation value of the motor and a rotor electrical angular position estimation value of the motor are obtained, and control over the motor is achieved. According to the scheme, by combining the sliding mode observer module, the phase-locked loop module and the staged angle compensation module, the rotor electrical angular velocity estimation value and the rotor electrical angular position estimation value of the motor are determined, sensorless control over the motor is achieved, and the control performance of the motor is improved.

The invention discloses a time sequence fault current-limiting control method and system compatible with a grid-connected guide rule for a network construction type doubly-fed wind turbine generator, and the method comprises the following steps: freezing external power control when a low-voltage ride-through event of a power grid is detected at the initial stage of a fault, and suppressing transient overcurrent through dynamically adjusting the resistance component of virtual impedance; in the fault stable stage, an electromotive force compensation increment is calculated on the basis of grid-connected guide rule requirements at the moment 4 tau after the fault occurs; in the fault clearing stage, after it is detected that the fault is cleared, electromotive force compensation is stopped; gradually recovering the virtual impedance to a rated value through the dynamic coefficient A; in the fault recovery stage, active control and reactive control are recovered in sequence, power output is recovered to the level before the fault within one second, and meanwhile the virtual impedance amplitude is gradually recovered to the rated value along with the voltage phase difference; the voltage phase jump amplitude and the voltage drop amplitude determined by the method have high robustness.

The embodiment of the invention discloses an electromagnetic wave logging detection depth determination method and device, a medium and a program product. The method comprises the steps that a conductivity disturbance stratum model under the homogeneous medium background condition is established, a multi-component transmitting and receiving antenna combination mode is simulated, a lower step signal source serves as an excitation source of transient electromagnetic wave logging, and a homogeneous medium transient electromagnetic wave logging response model is determined; according to the electromagnetic wave logging response perturbation model and the uniform medium transient electromagnetic wave logging response model, a sensitivity function of induced electromotive force is determined; determining a radial integral sensitivity function under a cylindrical coordinate system according to the sensitivity function of the induced electromotive force; and determining the detection depth of transient electromagnetic wave logging in the target time range according to the radial integral sensitivity function. According to the scheme, specific analysis can be carried out in combination with instrument parameters and signal definition, the detection performance evaluation problem of time domain signals measured in a well is solved, and the detection depth of transient electromagnetic wave logging equipment is accurately determined.

The invention discloses a humanoid robot joint motor control method with model prediction control, and relates to the technical field of robot motion control. The method is used for solving the problems of control instruction infeasibility and model disturbance caused by voltage saturation during high-speed motion. An error state space model of a joint motor system is established, and non-linear terms such as gravity are used as nominal feed-forward quantities for stripping; then, the rotating speed of the motor and the bus voltage of the driver are collected in real time, the back electromotive force is calculated, and the voltage margin is mapped into a dynamic torque physical limit value at the current moment; and meanwhile, estimating an unmodeled lumped disturbance value of the model by using an extended state observer. And finally, taking the dynamic limit as a real-time inequality constraint, introducing a disturbance value correction prediction equation, constructing and solving a quadratic programming problem, extracting an optimal compensation torque, superposing the optimal compensation torque with an inverse dynamic feedforward torque, and converting the superposed torque into a current signal to drive a motor, thereby realizing high-dynamic and high-precision robust control under the physical boundary constraint.

The invention discloses a discrete modeling and position-free control method for a low-carrier-ratio long-cable permanent magnet motor, and belongs to the field of motors. In order to solve the problem that the precision of a conventional mean voltage model is reduced due to the remarkable resistance characteristic of a low-carrier-ratio long-cable permanent magnet synchronous motor, a switching period is decomposed into a plurality of zero-order holding voltage excitation sections according to the discrete characteristic of the output pulse width modulation voltage of a converter; a motor accurate discrete model considering resistance characteristics is established by solving accurate current response of the permanent magnet motor segment by segment, a dead-beat current controller and a motor back electromotive force observer are further established based on the discrete model, and sensorless operation of the low-carrier-ratio long-cable permanent magnet synchronous motor system is realized. The discrete modeling precision of the low-carrier-ratio long-cable permanent magnet synchronous motor is improved, and the position-free control performance of the permanent magnet synchronous motor system under the working condition is improved.

The invention discloses a multi-signal fusion permanent magnet motor turn-to-turn short circuit fault diagnosis method, which is used for solving the technical problem that turn short is diagnosed only from motor current in the prior art, especially for early turn short diagnosis, the probability of missing report is high, and belongs to the technical field of motor turn-to-turn short circuit fault diagnosis. The three-phase current, the three-phase line voltage and the radial vibration acceleration signal of the bearing area of the bearing end cover of the motor are collected in real time in the operation process of the motor. The method specifically comprises the following steps of 1, current fault feature extraction; step 2, vibration fault feature extraction; s21, vibration spectrum fault feature extraction; s22, vibration envelope spectrum fault feature extraction; s23, calculating a vibration fault feature mark; step 3, turn short online feature mark calculation; 4, judging whether back electromotive force characteristic calculation is started or not; step 5, back electromotive force fault feature extraction; and step 6, final diagnosis of the short turn of the motor.

The utility model provides a back electromotive force electric energy recovery circuit of an unmanned aerial vehicle and the unmanned aerial vehicle. The multiple battery voltages are combined through the combining output circuit to supply power to the load, when back electromotive force exists due to deceleration of the unmanned aerial vehicle, the multiple battery voltages are detected through the comparison circuit, and if the back electromotive force voltage is larger than the voltage of each battery, at least one reverse charging circuit is opened to charge the battery. According to the embodiment, when the multiple batteries supply power to the unmanned aerial vehicle, mutual charging between the batteries can be prevented, counter electromotive force electric energy generated when the motor slows down can be absorbed through the batteries, uninterruptible power supply of the unmanned aerial vehicle can be achieved through hot plugging of the batteries when the unmanned aerial vehicle is in a standby state, and the unmanned aerial vehicle is convenient to use. The time for starting up, shutdown and initialization of the unmanned aerial vehicle due to battery replacement is shortened, and the working efficiency of the unmanned aerial vehicle is improved.

The invention discloses a pumping unit disc type permanent magnet motor multi-objective parameter optimization method, which relates to the technical field of motor design and optimization, and comprises the following steps: pre-establishing a multi-physical field coupling simulation model, constructing a disc type permanent magnet motor electromagnetic and thermal performance simulation model based on Motor-CAD and Maxwell software, and completing no-load, load and thermal performance tests of the motor. According to the method, the multi-physical field coupling simulation model is established in advance, so that comprehensive coupling analysis of electromagnetic and thermal performance of the disc type permanent magnet motor is realized, and high-precision data support is provided for multi-objective optimization; key structure parameters such as air gap length, slot opening width and the like are scientifically selected as optimization objects, maximization of motor efficiency and minimization of cogging torque are taken as core targets, and meanwhile, constraint requirements of output torque, back electromotive force and structure size are strictly adherent to each other, so that the pain point that multiple performances are difficult to consider at the same time in traditional optimization is effectively solved.

The invention discloses a dual three-phase permanent magnet synchronous motor harmonic suppression method based on virtual back electromotive force identification, and the method comprises the following steps: S1, building a driving system model of a DTP-PMSM; s2, constructing a harmonic model of the DTP-PMSM, analytically decomposing the nonlinear characteristic and the non-sinusoidal counter electromotive force of the inverter into dq and dqz subspaces, introducing the concept of virtual harmonic counter electromotive force, and unifying the nonlinearity of the inverter, the space harmonic counter electromotive force and cross coupling terms related to harmonic current into a single expression form; and S3, developing an identification principle based on current mapping, including amplitude and phase estimation, gain design and delay compensation, so as to estimate the amplitude and phase deviation of the virtual harmonic back electromotive force on line to realize harmonic suppression and avoid a complex algorithm and a large amount of parameter adjustment. According to the method, the operation effect is good in a wide rotating speed range, and meanwhile complex algorithms and a large amount of parameter adjustment are avoided.

The invention discloses a dead-beat prediction control method for a dual three-phase permanent magnet synchronous motor with disturbance compensation. The method comprises the following steps: designing a generalized extended state observer; inputting the actual voltage and current of the motor system into the observer, and outputting estimated harmonic current and disturbance compensation; calculating a fundamental current and a harmonic current at the next moment; a voltage equation is established and discretized, a weight factor is introduced, the fundamental current, the harmonic current and disturbance compensation at the next moment are input into the voltage equation, and fundamental space and harmonic space reference voltage is calculated; the fundamental wave space reference voltage is subjected to coordinate transformation and then is input into SVPWM together with the harmonic wave space reference voltage, and output PWM waves are processed to obtain driving voltage to drive a motor to operate. According to the method, real-time observation of the system current of the dual three-phase motor under parameter change is realized, disturbance caused by counter electromotive force harmonic waves, parameter change and unmodeled dynamics is compensated, and the effect of effectively suppressing the harmonic current is achieved.

The invention discloses a self-energized magneto-rheological vibration reduction system and method suitable for transverse and vertical coupling vibration of a high-speed normal-conducting maglev train, and relates to the field of magnetic suspension. The suspension surface current collection coil and the guide surface current collection coil are used for inducing magnetic field changes and generating induced electromotive force; the energy management system is used for rectifying, boosting and stabilizing the induced electromotive force and storing electric energy; the acceleration detection system is used for detecting transverse and vertical vibration accelerations of the vehicle body; the control system is used for outputting control current according to the vibration signal; and the transverse magneto-rheological damper and the vertical magneto-rheological damper are used for outputting variable damping force according to the control current and restraining transverse and vertical vibration of the vehicle body. According to the method, effective suppression and energy recovery of transverse and vertical vibration are realized without depending on current frequency division processing, so that the decoupling control problem caused by active control noise in a normal-conducting magnetic levitation system is solved.

The present invention relates to a flexible thermoelectric device that may be combined and attached to a curved surface and generates an electromotive force based on a temperature difference between one surface and the other surface, and more particularly, to a flexible thermoelectric device having a radiative cooling part which improves power generation performance by increasing cooling efficiency of a cooling side through radiative cooling and minimizes a volume of a heat dissipating part, and a method of manufacturing a radiative cooling part.

An analysis device measures ion concentration in a sample to detect an abnormality using an ion selective electrode. The analysis device includes an ion selective electrode that obtains a potential based on the ion concentration, a reference electrode that obtains a potential based on a reference liquid, a measurement unit that measures an electromotive force between the ion selective electrode and the reference electrode, an analyzer that analyzes a potential change of the electromotive force in a certain time region, and a storage that stores abnormality analysis data indicating a relation between the potential change and an abnormality of the analysis device. The analyzer acquires a parameter for the potential change of the electromotive force measured by the measurement unit, and analyzes the abnormality of the analysis device based on the parameter and the abnormality analysis data stored in the storage.

The invention discloses an SMO-EKF brushless direct current motor position-free control method based on SBA-GWO double-layer optimization, SMO adopts sliding mode surface gradient-rotating speed double-factor segmented gain, and an improved SBA-GWO algorithm is combined with a global exploration mechanism of a stingless bee algorithm and a group cooperation characteristic of a grey wolf optimization algorithm. An elite initialization strategy and a dynamic search mode switching mechanism based on a grey wolf level are introduced, and an SBA-GWO algorithm is adopted for parameter optimization: in the first layer, SMO counter electromotive force THD is taken as fitness, and optimal gain is searched; in the second layer, the EKF estimation error quadratic sum is used as the fitness, and the Q / R adaptive residual noise time-varying property is optimized. And constructing an SMO-EKF cooperative control closed loop according to the optimized parameters to realize brushless direct current motor position-free control. Compared with the prior art, in the BLDC full-rotating-speed-domain position-free control, the dynamic response speed and the steady-state buffeting suppression effect are both considered, the robustness and the engineering realizability are remarkably improved, a physical sensor is not needed, and the engineering cost is low.

The invention discloses a motor permanent magnet health state online evaluation and residual life prediction method and system, and belongs to the technical field of motor state monitoring and fault prediction. The method comprises the following steps: state monitoring and signal acquisition working condition judgment; a back electromotive force signal and a d-axis injection optimization high-frequency signal are collected; performing FFT analysis, calculating THD, and identifying d-axis inductance Ld on line; fTHD and delta Ld are calculated; carrying out normalization on the characteristic quantity FTHD and the delta Ld, and carrying out cross validation; under the balance of the three-phase voltage, the health index HImagnet of the permanent magnet is calculated; and fitting the descending trend of the HImagnet, and predicting the remaining useful life RUL. According to the method, the evaluation precision and robustness can be remarkably improved by fusing the two strongly correlated and complementary characteristic quantities of the back electromotive force harmonic distortion FTHD and the d-axis inductance variation delta Ld, real-time early warning of the demagnetization fault of the permanent magnet is realized, and trend prediction of the residual life is realized.

The invention discloses a brushless motor rotor angle determination method and device, equipment and a storage medium. The method comprises the following steps: synchronously acquiring original angle data of a Hall sensor, an incremental encoder and a back electromotive force observation module; respectively determining confidence coefficients of the Hall sensor, the incremental encoder and the back electromotive force observation module according to the rotating speed of the rotor, and performing weighted fusion on the original angle data of the Hall sensor, the incremental encoder and the back electromotive force observation module to obtain an initial fusion angle; based on the motor temperature, the motor phase current and the rotor speed, calculating a temperature drift compensation angle through a segmented temperature drift coupling model, and compensating the initial fusion angle according to the temperature drift compensation angle to obtain a temperature drift compensated angle; and inputting the temperature drift compensated angle into an extended Kalman filter for state estimation and filtering to obtain a rotor angle estimation value at the current moment. By means of the method, high-precision real-time calculation of the rotor angle within the wide temperature range and the full rotating speed range can be achieved.

The invention discloses a quantitative test method and system for a peak locked-rotor torque of a robot joint module, and relates to the technical field of robot joint performance evaluation, and the method comprises the steps: extracting a torque time-calendar curve of the joint module, defining the peak locked-rotor torque as a controlled low-frequency fatigue loading process, and building a mapping model of a torque amplitude and a failure cycle index; constructing a test system, and performing torque-current static calibration; embedding a specific excitation function in a current loop of the servo driver; the bus voltage and rotating speed change rate is monitored in real time, and the voltage and current impact at the unloading moment is inhibited by adopting a back electromotive force compensation algorithm and combining an energy consumption discharge loop; and repeatedly loading until the structure is damaged, recording the number of cycles, and drawing a peak torque-life curve as a basis for predicting the life of the whole machine. According to the method, quantitative association of the peak locked-rotor torque and the fatigue life is realized, quantitative evaluation from a static index to a dynamic life is realized, a basis is provided for life prediction of the whole robot, and the test precision is improved.

The invention relates to the technical field of delivery testing of hybrid transmission products, in particular to a delivery testing method, system and equipment for hybrid transmission products and a medium, and the method comprises the steps: connecting a hybrid transmission assembly to a test bench, building a communication protocol with a motor controller, and confirming that electrical connection is normal; after the clutch is disconnected, the rotating speed change is controlled to obtain a motor resolver zero position angle and measure the electric reverse electromotive force, so that motor characteristic calibration is realized; the method comprises the following steps: testing a hybrid transmission under different mode working conditions to obtain target data; comparing the target data with a preset threshold value to obtain a target comparison result; and determining whether the current product is qualified according to the target comparison result. The beneficial effects of the invention are that a plurality of problems of an existing test method for the integrated hybrid transmission are solved, a powerful guarantee is provided for high-quality production of core parts of a hybrid electric vehicle, after-sales risks and maintenance cost are reduced, and the market competitiveness of products is improved.

The invention discloses a permanent magnet wheel hub motor demagnetization fault diagnosis method considering multi-source signal fusion, belongs to the technical field of motor fault diagnosis, and aims to perform permanent magnet wheel hub motor demagnetization fault diagnosis by using a multi-source heterogeneous signal feature fusion method and solve the problem of dependence on additional sensors. The method mainly comprises the following steps: collecting multi-source signals such as current, back electromotive force and vibration under different conditions; performing symmetric point mode processing on the multi-source signal preliminarily, performing adaptive optimization and fusion on SDP parameters according to image fitness, and performing imaging processing again; the image database of the multi-source signals is used for fault diagnosis model training, and the diagnosis accuracy of each signal is obtained; a dynamic decision-making environment is established by integrating environmental conditions, image fitness and fault diagnosis accuracy, and a model is trained to realize optimal selection of multi-source heterogeneous signals under different conditions. According to the invention, through signal selection and fusion under different conditions, the accuracy and efficiency of motor fault diagnosis are improved.

The invention relates to the field of permanent magnet motors, and particularly discloses a thickness-adjustable back electromotive force sinusoidal permanent magnet motor and a parameter optimization method thereof. The rotor comprises a rotating shaft, a rotor iron core and a combined magnetic pole, the outer layer is made of aluminum-nickel-cobalt, the thickness of the outer layer is high-low-high centrosymmetric along the magnetic pole, the inner layer is made of neodymium iron boron, the thickness of the inner layer is low-high-low centrosymmetric permanent magnets along the magnetic pole, adjacent magnetic poles are magnetized oppositely, and the stator comprises an iron core and an armature winding. The specific parameter optimization method comprises the following steps: S1, determining an optimization variable and a target function; s2, performing global optimization by using a lion group optimization algorithm to obtain an optimal parameter; and S3, substituting the optimal parameter into the finite element model for solving, and comparing with a motor air-gap magnetic field modeling result for verification. According to the method, the problems of back electromotive force parallel waves, large torque pulsation, complex optimization process, low calculation efficiency and the like of a traditional surface-mounted permanent magnet motor are effectively solved, and the back electromotive force sine degree, the motor stability and the optimization efficiency are improved.

The invention discloses a motor and a control method and device thereof, a storage medium and a computer program product, and the method comprises the steps: injecting a pulsating voltage with a preset frequency into a d-axis part outputted by a PI controller in a current loop at a zero-speed starting stage and a low-speed operation stage of the motor; in the whole stage of the motor, three-phase current of the motor is obtained; in the whole stage of the motor, in a current loop and a speed loop, according to the three-phase current of the motor, a full-order observation module, a phase locking module and a switching function module are utilized to obtain a rotor position estimation value and a rotating speed estimation value of the motor; and in the whole stage of the motor, starting and running of the motor are controlled according to the rotor position estimation value and the rotating speed estimation value of the motor. According to the scheme, the improved high-frequency injection algorithm is combined with the full-order observer based on the back electromotive force, and the exponential weighting function is adopted to smoothly switch the position and the speed of the motor rotor estimated by the high-frequency injection algorithm and the full-order observer, so that the complexity and the cost are reduced, and the reliability is improved.

The application relates to the technical field of motor control, and discloses a low-voltage motor based on segmented threshold PWM control, which comprises a motor shell, a motor tail cover arranged at the tail of the motor shell, a control circuit board arranged at the middle of the motor tail cover, a device assembly arranged on the surface of the control circuit board, wherein the device assembly comprises a microcontroller arranged on the surface of the control circuit board, the microcontroller is internally provided with a control system, and the device assembly further comprises a PWM signal input unit, a power input and filtering unit, a voltage reduction and stabilization unit, a reverse electromotive force and voltage sampling unit, a motor power driving unit, a current sampling unit and a temperature detection unit arranged on the surface of the control circuit board. The application utilizes segmented threshold control, closed-loop speed regulation architecture and dynamic threshold reconstruction logic to realize shielding of instruction jitter and accurate speed regulation, and the current determination boundary is reconstructed in real time through the speed deviation and the running state, so that the transient response capability of the motor and the hardware safety and reliability under all working conditions are considered.

The invention discloses a calcium hydroxide and industrial wastewater co-treatment method, and relates to the technical field of environmental engineering, and the method comprises the following steps: S100, adopting global dynamic light scattering and electromotive force imaging combined monitoring, and monitoring surface charge change and particle size evolution of nanoparticles in industrial wastewater in a calcium hydroxide adding process in real time, and extracting a dynamic threshold index of dispersion stability mutation. According to the invention, a dispersion stability threshold is extracted through dynamic light scattering and electromotive force imaging, a particle dispersion risk index is constructed, real-time evaluation of aggregation failure of nanoparticles and dynamic prediction of a feeding strategy are realized, linkage feeding of a chelating organic polyamine flocculant is combined, bridging and surface energy mutation are blocked, and stability of charges and particle sizes is maintained. By means of closed-loop feedback and on-line early warning, the adding proportion is optimized, the gathering and settling efficiency is improved, membrane pollution and filtering blockage are reduced, and the stability and economical efficiency of wastewater treatment are improved.

The invention discloses a hybrid magnetic barrier design method for improving the average torque of a permanent magnet generator, the motor type is a double permanent magnet vernier motor, a stator and a rotor are provided with permanent magnets, the stator is wound with an armature winding, and an air gap magnetic field is composed of a stator permanent magnet magnetic field, a rotor permanent magnet magnetic field and an armature magnetic field. The average torque is derived from the interaction of an armature magnetic field and stator and rotor permanent magnetic fields. The stator is composed of six E-shaped module units in space, non-air-gap magnetic barriers exist between the module units, air-gap magnetic barriers are added to the two sides of a permanent magnet of the stator and the two sides of a permanent magnet of the rotor respectively, and the average torque is improved by improving the working wave content of an armature magnetic field and the working wave content of a permanent magnet magnetic field through the two types of magnetic barrier structures respectively. The hybrid magnetic barrier is simple in structure, the average torque of the permanent magnet vernier motor can be improved by more than 30%, and meanwhile, the sine property of no-load back electromotive force is improved.

The application belongs to the technical field of low-voltage direct-current microgrid, and discloses a kind of overvoltage suppression system and method for solid-state protection of direct-current microgrid converter, which constructs a kind of system for inhibiting overvoltage of converter by connecting energy absorption path on solid-state switch device.When protection action triggers SSSD to shut down, the huge induced electromotive force generated by filter inductance due to sudden change of current path can drive current to divert to the parallel energy absorption path.Using the system eliminates the risk of high voltage breakdown of power devices caused by the release of electric energy in the original scheme, ensures that the protection action itself will not cause secondary voltage damage to the converter, while retaining the core protection capability of SSSD to quickly cut off fault current, thereby significantly improving the reliability and engineering practical value of the solid-state protection scheme.

The invention relates to a brushless direct current motor simulator system and method. The brushless direct current motor simulator system comprises a motor simulator unit and an energy feedback unit. In the motor simulator unit, a motor resolving model calculates and outputs three-phase current as instruction current based on an input line voltage and a load torque instruction; the motor simulator unit controller takes an interface input side phase current as a tracking current and adopts a current tracking control strategy based on dynamic current deviation compensation to obtain an instruction voltage so as to drive and control a motor simulation power converter; in the energy feedback unit, a phase-locked loop obtains a power grid phase angle based on alternating current side voltage and current; and the energy feedback unit controller generates instruction voltage by adopting a fixed direct current side voltage control strategy based on power grid voltage orientation so as to drive and control the energy feedback power converter. Compared with the prior art, the square wave current and the trapezoidal wave back electromotive force of the brushless direct current motor and the external port characteristics of the brushless direct current motor under normal operation and fault working conditions can be accurately simulated.