1344 results about "Counter-electromotive force" patented technology

The invention belongs to the technical field of permanent magnet synchronous motor position-sensorless control, and discloses a surface-mounted permanent magnet synchronous motor full-speed-domain position-sensorless control method and system. In a zero-low-speed area, a high-frequency square wave voltage injection method is adopted for motor rotor position identification, a simplified signal processing mode is adopted, use of a filter is omitted, and position estimation precision is improved; the improved sliding mode observer is adopted to identify the position of the motor rotor in a medium-high speed domain, and aiming at the problems of buffeting and phase delay of a traditional sliding mode observer, a piecewise square change switching function is adopted to replace a sign function to reduce system buffeting, and a synchronous reference system filter is adopted to replace a low-pass filter to reduce system buffeting. The problems of phase delay and amplitude attenuation caused by back electromotive force are avoided; and an improved weighted switching method with continuous and smooth proportionality coefficients is adopted in a switching speed domain to realize stable switching of the rotating speed. The method has the advantages of being capable of accurately estimating the motor rotating speed and the rotor position in the full-speed domain, fast in dynamic response and good in estimation precision.

The invention discloses a wide-speed-domain position-sensorless control method for a permanent magnet synchronous motor, and the method comprises the steps: building an extended state observer of the permanent magnet synchronous motor, and obtaining the counter electromotive force of the motor through the extended state observer; a self-adaptive vector filter is adopted to filter out higher harmonics in the back electromotive force obtained by the extended state observer, estimated back electromotive force is obtained, the obtained estimated back electromotive force serves as input, position information contained in the estimated back electromotive force is demodulated through a phase-locked loop position observer, and the rotating speed and the position angle of the motor are obtained; and controlling the permanent magnet synchronous motor according to the obtained rotating speed and position angle. The position observer is used for extracting position information from the rotor back electromotive force, a mechanical position sensor is omitted, the system structure is simplified, cost is reduced, the self-adaptive vector filter is used for filtering harmonic waves for estimating the back electromotive force, and estimation errors of the rotating speed and the position angle of the motor are reduced. And the high efficiency and the stability of position-sensorless control of the motor in a wide speed range are improved.

The invention discloses a high-precision position detection method for a permanent magnet motor system, and the method comprises the following steps: S1, building a harmonic counter electromotive force model of a permanent magnet motor, and analyzing the influence of the harmonic counter electromotive force on a position estimation error; s2, constructing an arcsine saturation function of which the boundary layer thickness is self-adjusted along with the error of the sliding mode surface as a switching function; s3, establishing a mathematical model of a sliding-mode observer based on an arcsine saturation function, and obtaining a parameter selection range by using a Lyapunov stability criterion; s4, carrying out Park conversion on the output value of the sliding-mode observer to obtain a direct current amount under a dq coordinate system; a first-order low-pass filter is used for filtering, fundamental wave counter electromotive force is reserved, and sine counter electromotive force is extracted from the fundamental wave counter electromotive force through Park inverse transformation; and S5, in combination with an orthogonal phase-locked loop, performing position estimation on the output sine counter electromotive force to obtain an estimated rotor position angle and an estimated rotor rotating speed. The precision and the dynamic performance of sensorless control of the permanent magnet motor can be improved.

The invention discloses a control method, device and equipment for a current loop of a permanent magnet synchronous motor and a storage medium, and relates to the technical field of electric vehicle driving motors, and the control method for the current loop of the permanent magnet synchronous motor comprises the steps: obtaining an input voltage; a current loop is controlled according to a target motor mathematical model and the input voltage, the target motor mathematical model is obtained by adjusting an initial model, and adjustment is based on the required torque, a rectangular axis open-loop transfer function and a zero-pole mutual elimination function. The initial model is constructed according to a target quadrature-axis voltage equation, a dynamic inductance parameter value, a locked-rotor test and a difference strategy, and the dynamic inductance parameter value and the target quadrature-axis voltage equation are at least calculated by three items of an initial quadrature-axis voltage equation, dynamic inductance, a quadrature-axis flux linkage equation and a back electromotive force-flux linkage relation. According to the invention, the control precision, efficiency and response speed of the permanent magnet synchronous motor are improved, and the robustness of the system is enhanced.

The invention discloses a five-phase permanent magnet motor multi-objective optimization method and a control system thereof, and belongs to the technical field of motor body design optimization and motor control. According to the multi-objective optimization method for the five-phase permanent magnet motor, the optimal optimization value of the motor parameters is obtained based on the genetic aggregation response surface and the multi-objective genetic algorithm, the design variables of the motor are comprehensively considered, and the optimization accuracy is improved; according to the control system of the five-phase permanent magnet fault-tolerant motor, iterative learning control serves as a current control technology and is used for recovering the performance of the five-phase permanent magnet motor under the fault condition, the advantages of iterative learning control and counter electromotive force control are combined, high-performance operation of the motor can be ensured under the fault condition, and the reliability of the five-phase permanent magnet fault-tolerant motor is improved. Ripple-free torque output is realized, and ohmic loss is minimized. The fault diagnosis module of the control system diagnoses short-circuit faults and open-circuit faults by using a time sequence neural network and a Kalman filter, and has real-time performance and strong adaptive ability.

The invention relates to the technical field of motor sliding mode control, in particular to a motor position sensorless control method based on a neural network sliding mode observer, which comprises the following steps of: tracking stator current of a permanent magnet synchronous motor by adopting the sliding mode observer under an alpha-beta axis static coordinate system to obtain an estimated current value, an actual current value and a current error value; a convolutional neural network is adopted, the actual current value and the current error value serve as input, the back electromotive force estimated value serves as output, and stator current is estimated and tracked through training optimization; entering a sliding mode surface and sliding on the sliding mode surface, converging sliding mode control to a balance point through a switching function, and obtaining a back electromotive force by adopting a back electromotive force expansion equation; and extracting rotor position and speed information in the back electromotive force based on a phase-locked loop. According to the invention, the buffeting phenomenon of the system is effectively improved, the observation precision of the rotor position is improved, and the speed regulation capability of sudden loading and unloading of the system can be remarkably improved.

The invention relates to the technical field of permanent magnet synchronous motor control. The invention provides a permanent magnet synchronous motor adaptive high-order terminal sliding mode observer control method. The method comprises the following steps: establishing an expansion equation of a motor under an alpha-beta two-phase static coordinate system; designing a high-order terminal sliding mode surface based on the extension equation; designing a self-adaptive gain; designing a current signal control law and a back electromotive force signal control rate of the high-order terminal sliding mode surface based on the adaptive gain, the expansion equation and the high-order terminal sliding mode surface; obtaining constraint conditions of the adaptive gain and the control gain k; defining an expression of the adaptive gain; designing an adaptive high-order terminal sliding mode observer based on a current signal control law and a back electromotive force signal control rate; acquiring an electrical angular speed and a rotor electrical angle based on an orthogonal component phase-locked loop method; and controlling the operation of the motor based on field-oriented control and space vector pulse width modulation. According to the invention, the control system can maintain robustness and high-precision output at the same time under the high dynamic response requirement.

The invention relates to the technical field of motor control, in particular to a speed sensorless control method of a long-stator linear motor for a maglev train in a full-speed domain range. According to the method, when the train runs at a low speed, the mechanical position sensor is adopted for control, and control precision is high; when the train runs at a high speed, speed sensorless control based on extended back electromotive force is adopted, so that control errors caused by data transmission delay can be avoided; and a weighted average switching algorithm is provided when switching is controlled by adopting a mechanical sensor at a low speed and adopting a speed-free sensor at a high speed, and the weighted average switching algorithm comprises motor rotating speed switching and motor angle switching, so that stable transition of the rotating speed and the angle of the motor during high and low speed switching is realized, and overcurrent of the motor is avoided. By adopting the method, stable operation of the long-stator linear motor in a full-speed domain range can be realized, and safe operation of a train is ensured.

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 relates to the field of intelligent control of electromagnetic appliances, and provides a control method and system for online fault diagnosis of a magnetic latching relay, and the method comprises the steps: responding to an external control instruction, collecting real-time bus voltage and real-time environment temperature data, constructing environment state characteristics through a magnetothermal coupling algorithm, and generating an initial PWM drive duty ratio; pulse modulation voltage is loaded, a current sampling sequence is collected, a current change rate sequence is obtained through moving average filtering and electromechanical coupling decoupling, extreme value searching is executed to extract counter electromotive force distortion characteristics, and a dynamic current sequential sequence is generated; a fusion input tensor is constructed, armature state probability distribution is output through a gating circulation unit, and a real-time energy compensation instruction is generated in a displacement interval before closing; and according to the real-time energy compensation instruction, respectively generating an enhanced driving waveform, a delayed driving waveform or a vibration driving waveform. According to the method, multi-mode physical characteristic perception and depth time sequence deduction are fused, and online fault diagnosis and active intervention closed loop of the magnetic latching relay are realized.

The invention discloses an iterative phase-locked limit cycle flux observer, a control method, a control device and a control system, and the control method comprises the following steps: collecting alpha-beta axis voltage and current signals of a motor, constructing an IPMSM mathematical model under an alpha-beta axis, and calculating to obtain a counter electromotive force vector of the motor; taking the motor back electromotive force vector as input, acquiring motor rotor flux linkage information through an iterative phase-locked limit loop flux linkage observer, and estimating a motor rotating speed and a position signal according to the motor rotor flux linkage information; and the rotating speed and the position signal of the motor are input into a motor closed-loop control system, so that position-sensorless closed-loop control of the permanent magnet synchronous motor is realized. According to the method provided by the invention, the problem of integral drift or phase lag of a traditional flux linkage observer can be avoided, the influence of direct current bias on flux linkage and position observation precision is effectively suppressed, the dynamic response capability of position sensorless control is remarkably improved, and a position estimation error generated in a dynamic process is suppressed.

The invention relates to the technical field of motor control technologies, and particularly provides a permanent magnet synchronous motor back electromotive force reconstruction and position speed extraction method, which comprises the following steps of: establishing a mathematical dynamic model of a permanent magnet synchronous motor under a static coordinate system, and designing an improved super-spiral observer according to the model, the reconstruction precision and the convergence speed of the back electromotive force are enhanced; and standardizing the reconstructed back electromotive force, and extracting the position and speed of the permanent magnet synchronous motor rotor through an integral compensation phase-locked loop. According to the invention, by improving the existing super-spiral observer and the phase-locked loop, the convergence speed and the position estimation precision of the system are obviously improved.

The invention discloses an axial winding complementary type hybrid excitation high-speed magnetic flux reverse motor, and belongs to the technical field of power generation, power transformation or power distribution. The motor comprises a six-slot stator iron core, a four-tooth rotor iron core, a set of annular winding serving as an excitation winding and a set of concentrated winding serving as an armature winding, permanent magnet groups are attached to the inner surface of the tooth part of the stator core, two groups of axial permanent magnets are opposite in polarity, and two groups of circumferential permanent magnets are opposite in polarity; and the rotor iron core is formed by laminating a plurality of rotor iron core sections which have a mechanical angle of 45 degrees in the axial direction. The motor has the magnetic field adjusting capacity and has the advantages of being small in flux linkage, counter electromotive force sine, cogging torque and torque fluctuation, extra rising voltage caused by strong armature reaction during high-speed operation can be reduced through flux weakening, torque during low-speed operation can be improved through flux increasing, and due to the fact that the number of poles is small, loss is small during high-speed and high-frequency operation, and the motor is high in reliability. Compared with other magnetic flux reverse motors, the magnetic flux reverse motor is more suitable for high-speed operation.

The invention relates to the technical field of power systems, in particular to a parameter prediction and control method and system of a sensorless motor. The method comprises the following steps: acquiring a sampling stator current and a sampling stator voltage of a motor and a motor rotating speed observation value obtained through an orthogonal phase-locked loop, and performing coordinate transformation on the sampling stator current to obtain a two-phase static coordinate system current; inputting the sampled stator voltage, the two-phase static coordinate system current and the motor rotating speed observation value into a sliding mode observer to obtain a back electromotive force observation value; inputting the back electromotive force observation value into a pre-constructed cross feedback frequency adaptive filter, eliminating harmonic waves and extracting a fundamental component to obtain a filtered fundamental wave back electromotive force observation value; and normalizing the fundamental wave back electromotive force observation value, and inputting the normalized fundamental wave back electromotive force observation value into an orthogonal phase-locked loop to obtain a motor rotor position prediction value and a rotating speed prediction value. By adopting the cross feedback frequency adaptive filter, the quality of the back electromotive force signal is improved, and the accuracy of rotor position and speed estimation is also remarkably improved.

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 relates to the technical field of wind generating set control, and discloses a three-order integral type wind generating set position and rotating speed estimation method and system. Three-phase power data is converted into rotating two-phase counter electromotive force under rotating coordinates through two times of coordinate conversion and a preset counter electromotive force observer; secondly, calculating error data of the wind generating set, and combining the error data with set operation data to serve as input of a preset third-order integral type position and rotating speed estimator to obtain more accurate target rotating speed data and target position data; the technical problem of how to accurately estimate the position and the rotating speed of the wind generating set is solved.

The invention discloses a motor belt speed restarting control method, device and equipment and a medium, and the method comprises the steps: obtaining the counter electromotive force of a motor; determining a motor rotating speed reference value corresponding to the counter electromotive force; the motor is controlled to be started based on the motor rotating speed reference value and preset exciting current, and the preset exciting current is larger than rated exciting current of the motor. According to the technical scheme, the preset exciting current larger than the rated exciting current of the motor is set for the motor, the motor is controlled to be started according to the preset exciting current and the motor rotating speed reference value, the motor is started through the preset exciting current larger than the rated exciting current, and therefore the rotor flux linkage can be rapidly established by the motor, and the efficiency of the motor is improved. The motor can quickly reach the optimal operation state after restarting, and the effect of improving the belt speed restarting success rate of the motor can be achieved.

A voice coil motor (VCM) in a hard disk drive is operated in a discontinuous mode with an alternation of on and off times. A drive current to the VCM is facilitated and countered with a variable voltage across the during the on-times and off-times. The intensity of the drive current is controlled as a function of a Back ElectroMotive Force (BEMF) of the VCM. A method includes sampling during the alternation of on-times and off-times first and second values of the voltage across the VCM. The first value is sampled at a first time in response to the end of the off-time. The second value is sampled at a second time in response to the drive current of the VCM zeroing following the supply of drive current to the VCM being countered during the off-time. The BEMF is calculated as a function of first and second values.

The invention discloses a permanent magnet synchronous motor non-inductive control method, and belongs to the field of permanent magnet synchronous motor control. Comprising the following steps: firstly, selecting stator current in the permanent magnet synchronous motor, defining a system state equation and a mechanical motion equation of the permanent magnet synchronous motor, then designing an exponential sliding mode speed controller, and finally designing a hyperbolic tangent function-based super-spiral sliding mode observer to observe counter electromotive force. And obtaining the rotating speed of the motor by using an arc tangent function. According to the hyperbolic tangent function-based super-spiral sliding mode observer, smooth transition can be provided near a sliding mode surface, high-frequency switching caused by small interference is avoided, system buffeting is obviously reduced, the designed speed controller can quickly respond under the condition that the rotating speed is quickly changed or load disturbance is relatively large, and the system stability is improved. And meanwhile, the problem of integral saturation in a PI speed controller is avoided, the robustness of the system is improved, and the buffeting effect is inhibited.

An electric power assist device for bicycles includes: a dynamic brake controller configured to stop supply of a current from a battery to an electric motor and bring a dynamic brake circuit to an ON state when a crank rotational angle is within one or more predetermined crank rotational angle ranges; a pedaling force estimator configured to estimate a pedaling force put on pedals of a bicycle on a value of reverse current caused by a counter electromotive force and detected by a current sensor when the dynamic brake circuit is in the ON state; and a motor drive controller configured to control the electric motor based on the pedaling force estimated by the pedaling force estimator.

The invention relates to the technical field of motor control, and particularly provides a permanent magnet synchronous motor sensorless control method, which comprises the following steps of: designing a front-stage non-smooth extended state observer according to a voltage equation of a permanent magnet synchronous motor, and estimating the back electromotive force of the motor by using the front-stage non-smooth extended state observer; calculating the position error of the motor rotor by using the back electromotive force estimated value; and designing a post-stage non-smooth extended state observer according to the dynamic model of the permanent magnet synchronous motor, taking the position error as an input quantity, and extracting and outputting motor rotor position estimation and electric angular velocity estimation through the post-stage non-smooth extended state observer. According to the invention, the two cascaded non-smooth expansion state observers replace a traditional sliding mode observer and an orthogonal phase-locked loop structure, so that the extraction precision of position and speed information is effectively improved, and the dynamic performance and the steady-state performance of the permanent magnet synchronous motor sensorless sensor are improved.

The invention relates to the technical field of wind generating set control, and discloses a three-order semi-tangent type wind generating set position and rotating speed estimation method and system, and the method comprises the steps: converting three-phase power data into rotating two-phase counter electromotive force under rotating coordinates through two times of coordinate transformation and a preset counter electromotive force observer; and then error data of the wind generating set is calculated based on a semi-tangent algorithm, the error data is combined with set operation data to serve as the input of an improved third-order loop filter, the precision of estimation information is improved, more accurate target rotating speed data is obtained, the accurate target rotating speed data serves as the input of a position estimator, and the accuracy of the position estimator is improved. Therefore, more accurate target position data can be obtained; the technical problem of how to accurately estimate the position and the rotating speed of the wind generating set is solved.

Various boost circuits that are used to improve or reduce the time needed to transition an electric machine from an off-state to an on-state at the start of a next pulse during pulsed controlled operation. With these various boost circuits, the naturally generated Back Electromotive Force or “BEMF” that is induced when an electrical machine transitions from the on state to the off state at the end of an on pulse is harvested, rectified, and stored on a storage device. The harvested energy is then made available to the electric machine as a “boost” voltage at the onset of the next on pulse, resulting in a reduced transition time from the off-state to the on-state.

The invention relates to the technical field of motor control, in particular to a permanent magnet synchronous motor sensorless control method based on an extended state observer. The sensorless control method for the permanent magnet synchronous motor is characterized by comprising the following steps: establishing a mathematical model of the permanent magnet synchronous motor under a static coordinate system; designing an improved extended state observer based on the mathematical model, and realizing the estimation of the back electromotive force with low phase lag; and processing the obtained low-phase-lag back electromotive force through a phase-locked loop, and extracting position information and rotating speed information of a rotor of the permanent magnet synchronous motor. Phase lag and amplitude attenuation during back electromotive force observation can be effectively compensated, and the estimation precision of the rotor position is improved.

The invention relates to an extended state type permanent magnet synchronous motor rotor position and speed estimation method. The invention relates to the technical field of motor control, and provides an extended state type counter electromotive force observer which takes alpha-beta axis current and alpha-beta axis total disturbance of a permanent magnet synchronous motor as system variables, alpha-beta axis actual current and action voltage as given values, and total disturbance of a system as observer output. And the back electromotive force of the permanent magnet synchronous motor is a main component for observing disturbance. The expansion state type phase-locked loop cancels a traditional PI regulator, the observed alpha-beta back electromotive force serves as phase-locked loop input, an observation angle error is obtained through calculation, and then the angle and speed of the motor are obtained and serve as output. In the angle compensation link, the phase difference between the observed counter electromotive force and the actual counter electromotive force is calculated according to the observer bandwidth and the motor rotating speed, a compensation angle is obtained through calculation, and accurate observation within the full-speed range is achieved.

The invention provides a braking method and device of a linear motor, electronic equipment and a storage medium. The method comprises the steps that if the driving voltage of the linear motor after the current moment is smaller than the preset driving voltage, the braking voltage of the linear motor in the second integer number of half cycles is calculated based on the driving voltage before the current moment and the back electromotive force of the linear motor in the first integer number of half cycles after the current moment, the time length of the second integer number of half cycles is the same as that of the first integer number of half cycles; and whether the maximum value of the back electromotive force of the linear motor in the third integer half cycle is larger than or equal to the preset back electromotive force is judged, and whether the linear motor is braked or not is determined based on the judgment result. In this way, efficient and accurate braking of the linear motor can be achieved.

The invention discloses an electromagnetically adjustable variable flux disc type motor, belongs to the technical field of motors, and aims to solve the problems of complex control and low safety when the rotating speed of the motor is increased in a weak magnetic intervention mode. A rotating magnetic field is generated when the first electromagnetic coil is powered on, the rotating magnetic field interacts with the permanent magnet, so that a torque is generated, the rotor starts to rotate, the position relation between the magnetic sensor and the rotor is read, and if the distance is judged to be incorrect, the motor is started to rotate. If the position of the rotor is adjusted through the neodymium-iron-boron magnetic ring by adjusting the current magnitude and direction of the electromagnetic ring, direct current is introduced into the electromagnetic ring during adjustment to generate upward or downward electromagnetic force, the neodymium-iron-boron magnetic ring is pushed upwards when the electromagnetic force repels the neodymium-iron-boron magnetic ring, and then the air gap between the rotor and the stator is adjusted. After the air gap is increased, flux leakage is increased, flux linkage is reduced, back electromotive force is reduced, the rotating speed of the motor is increased without flux weakening intervention, and the motor is high in efficiency and safety.

The invention discloses a BLDC (brushless direct current) driving parameter self-tuning embedded system and method for multiple equipment types, and the method comprises the steps: constructing a BLDC unified mathematical model containing an electromagnetic torque equation, a back electromotive force equation and a mechanical motion equation, and building a nonlinear mapping relation library of motor type identification codes and a key electrical parameter set; a predefined multi-mode excitation signal sequence is injected into the to-be-driven BLDC motor, dynamic response data are synchronously collected, and the dynamic response data are used for representing the characteristics of the key electrical parameter set; based on collected dynamic response data, equivalent inductance and equivalent resistance in a key electrical parameter set are decoupled and extracted through a frequency domain impedance analysis method, and meanwhile, a counter electromotive force coefficient and rotational inertia in the key electrical parameter set are identified by combining time domain counter electromotive force zero crossing point detection with rotating speed differential operation. Based on a motor fingerprint feature library and a fuzzy adaptive architecture, multi-model debugging-free plug-and-play is realized, and stable control performance is maintained under a dynamic working condition.

The invention discloses a brushless motor starting method and device, and the method comprises the steps: controlling a power controller to drive a rotor of a brushless motor to rotate to a starting position in response to a received starting signal; controlling a power supply controller to drive a rotor of the brushless motor to rotate through an open-loop control strategy, and detecting a back electromotive force signal on a stator of the brushless motor through a back electromotive force sensor; and determining an estimated rotating speed and an estimated position of the brushless motor according to the back electromotive force signal through a closed-loop control strategy, and controlling a power supply controller to drive the rotating speed of a rotor of the brushless motor to reach a preset target rotating speed according to the estimated rotating speed and the estimated position. The precision of rotating speed control of the brushless motor under the low-rotating-speed working condition is guaranteed, the dependence on a high-precision position sensor is reduced, the system cost is reduced, the dynamic response performance is improved, the special requirement of the starting stage can be met, and efficient dynamic adjustment can be achieved in the operation stage.