24 results about "Stator inductance" patented technology

The invention discloses a current harmonic disturbance suppression method and suppression system for a permanent magnet synchronous motor. The method comprises the following steps: acquiring voltage and current signals of an electrical loop phasor test in the operation of the motor; an inductance identification algorithm based on high-frequency response is adopted, high-frequency excitation signals are injected, current response is monitored, and stator inductance parameters are calculated; constructing a multi-synchronous rotating coordinate system based on the parameter, and decomposing the current signal to obtain each harmonic current component; building a fuzzy full-order sliding mode observer, inputting an inductance parameter, voltage data and a harmonic current component, and dynamically adjusting a sliding mode surface parameter to observe the position and the rotating speed of a rotor; independently controlling each harmonic current adjusting channel under a multi-coordinate system in combination with observation information, and generating a compensation control signal; and the synthesized master control signal is output to the driving circuit. The system comprises six units, and the method and the system can accurately obtain parameters, efficiently decompose harmonic waves, accurately observe states, realize multi-frequency harmonic disturbance suppression, and improve motor operation stability and efficiency.

The invention provides an MRAS permanent magnet synchronous motor parameter online identification method based on BP neural network optimization, and the method comprises the steps: constructing two BP neural network models, carrying out the offline training optimization of the two models, and obtaining an optimal neural network model which can accurately predict the flux linkage of a rotor and the inductance of a stator; based on an MRAS step-by-step identification strategy, two-stage motor parameter step-by-step identification units are built, the two optimal neural network models are embedded into the corresponding motor parameter step-by-step identification units, and based on the problem that the stator resistance identification effect of the BP neural network is poor, the two optimal neural network models are embedded into the corresponding motor parameter step-by-step identification units; according to the invention, the BP neural network and the adaptive rate unit are established in the second MRAS parameter identification unit, and the online dynamic identification of the stator resistance and the stator inductance is realized through the combination of the BP neural network and the adaptive rate unit. According to the method, an off-line training-on-line identification mode is adopted, the complex parameter setting process in a traditional method is avoided, the identification efficiency is remarkably improved, and the identification result is accurate.

The invention discloses a simulation modeling method and device for a permanent magnet synchronous motor. The simulation modeling method comprises the following steps: establishing a state equation of the permanent magnet synchronous motor; searching in a preformed first two-dimensional array by taking the stator current as an input quantity to obtain corresponding stator inductance; calculating a stator flux linkage differential value according to a state equation of the permanent magnet synchronous motor and the found stator inductance; integrating the stator flux linkage differential value to obtain a stator flux linkage; and obtaining the adjusted stator current according to the obtained stator flux linkage and the relational expression between the flux linkage and the current. According to the application, the MTPA function can be realized, the values of the inductance and the flux linkage are reduced along with the increase of the current, the MTPA state and the weak magnetic state working area of the real motor can be simulated, and the simulation motor is ensured to be close to the operation condition of the actual motor to the greatest extent.

A transmission characteristic parameter identification method for a ball screw feeding system comprises the following steps: in the normal operation process of the ball screw feeding system, acquiring voltage, current, rotating speed and other signals through a servo motor and a driving system thereof, and realizing online identification of key electromagnetic parameters and mechanical parameters in stages; under the static working condition of the motor, controlled voltage excitation is applied, stator current is measured, and identification of stator winding resistance and stator inductance is completed; under the steady-state operation condition, the flux linkage amplitude of the permanent magnet is calculated based on a q-axis voltage equation; under a dynamic operation condition, a friction torque model is established through segmented constant-speed operation, a rotor motion equation is combined, a recursive least square algorithm with a forgetting factor is introduced, and online identification of the equivalent rotational inertia of the system is realized; according to the method, complete and accurate transmission characteristic parameters can be obtained in the ball screw feeding system, the identification process is stable, the calculation complexity is low, and the method is suitable for being embedded into a servo control system.

The invention relates, in one aspect, to a synchronous electric machine (M1, M1 ', M1' ', M1' '', M2, M2 ', M20, M21, M20') comprising: a first claw-pole stator inductor (1, 1 ', 4, 4') comprising: a claw-pole ferromagnet (11, 41) comprising Pe poles; a first stator armature (2, 2 ', 2u, 5, 5', 5u), the number of poles Pa of which is different from the number of poles Pe; a ferromagnetic rotor (3, 6, 6 ') comprising: an axis of rotation (X); comprising Ns ferromagnetic elements uniformly distributed along the axis of rotation (X), the Ns being equal to the sum or difference between Pa / 2 and Pe / 2, the set of ferromagnetic elements (30, 30u, 60, 60u) being located between the first claw pole stator inductor (1, 1 ', 4, 4') and the first stator armature (2, 2 ', 2u, 5, 5', 5u).

The embodiment of the invention provides a rotor position determination method and device of a synchronous reluctance motor, equipment and a medium. The method comprises the following steps: acquiring stator data at the current moment; wherein the stator data comprises stator voltage and stator current; based on an equivalent transmission line model, according to the stator data at the current moment and the incident voltage at the previous moment, determining the back electromotive force at the current moment; wherein the equivalent transmission line model represents a physical model for enabling stator inductance to be equivalent to a short-circuit transmission line, the equivalent transmission line model is used for determining back electromotive force, the back electromotive force represents the magnetic resistance characteristic of a rotor of the synchronous reluctance motor, and the incident voltage represents the initial state of voltage waves propagating in the short-circuit transmission line; determining rotor position information at the current moment according to the back electromotive force at the current moment; wherein the rotor position information comprises a rotor electrical angle and a rotor electrical angular velocity. The method is used for achieving the effect of improving the adaptability and precision of determining the rotor position of the synchronous reluctance motor.

This application provides a method, system, device, and medium for designing output filter parameters for a frequency converter, relating to the field of frequency converter filtering technology. The method includes: obtaining target parameters of the frequency converter; determining a first resonant frequency constraint condition for the output filter in the frequency converter based on the rated fundamental frequency and pulse width modulation switching frequency; determining the total control delay based on the pulse width modulation switching frequency, and determining a second resonant frequency constraint condition for the output filter based on the total control delay and the controller parameters of the frequency converter, thereby determining the resonant frequency range of the output filter; determining the range of filter capacitor parameters for the output filter based on the rated voltage, rated current, and rated fundamental frequency; and determining the target resonant frequency, target filter capacitor parameters, and target filter inductance parameters for the output filter based on the resonant frequency range, the filter capacitor parameter range, and the motor stator inductance. This application can effectively suppress the resonance of the frequency converter output filter and effectively avoid the risk of instability.

The invention discloses an asymmetric half-bridge control method for a driving motor of an electric forklift, and the method comprises the steps: employing an asymmetric half-bridge as an inverter topology, and enabling the asymmetric half-bridge to comprise a left bridge arm and a right bridge arm; respectively constructing bridge arm models when the output ends of the left bridge arm and the right bridge arm are high levels, so as to obtain an expression of stator current of the driving motor; establishing a state equation taking the filter capacitor charge, the motor stator inductance magnetic flux and the filter inductance magnetic flux as state variables; and determining a stator current reference value according to the driving working condition of the forklift, setting a cost function, and selecting a switching control signal enabling the cost function to be minimum so as to control the switching action of the asymmetric half-bridge. According to the invention, the asymmetric half-bridge is used as the inverter topology to avoid the bridge arm direct connection problem, the state matrix of the electric drive system is obtained by carrying out overall modeling on the asymmetric half-bridge inverter, the torque ripple during the working of the motor can be effectively reduced, and the working stability of the motor is ensured.

The invention discloses a permanent magnet synchronous motor sensorless control parameter identification method, which comprises the following steps of: S1, acquiring a permanent magnet flux linkage error by utilizing a flux linkage observer, injecting a high-frequency sinusoidal signal on a d axis, and realizing identification of stator winding resistance and stator inductance of a permanent magnet synchronous motor based on the error; s2, the inductance identification value and the resistance identification value are substituted into a position-free observer and a current controller, so that high-precision control over the motor is achieved; and S3, when the q-axis current changes, inductance identification is executed again so as to compensate inductance parameter changes caused by factors such as magnetic saturation and the like, and the control precision is ensured. The permanent magnet synchronous motor driver can be applied to a general permanent magnet synchronous motor driver, and has high application value and economic value. According to the method, the under-rank problem of non-position parameter identification of the permanent magnet synchronous motor is solved, the estimation precision is improved, and reliable operation and higher-performance control of a permanent magnet synchronous motor driving system are realized.

This invention discloses an inductance estimation method, system, apparatus, computer device, and readable storage medium. The method includes calculating the permanent magnet linkages along the α-axis and β-axis of the compressor, and calculating the rotor position θ(n) based on the permanent magnet linkages; calculating the actual operating speed N(n) of the compressor based on a preset control cycle and the rotor position θ(n); and calculating the phase current magnitude I of the compressor based on a preset sub-current. s (n), based on the actual operating speed N(n) and the phase current magnitude I s (n) The compressor operating speed N when the phase current magnitude is maximized. s (n max The compressor operating speed N when the phase current modulus is extremely small. s (n min The compressor operating speed N is based on the maximum phase current magnitude. s (n max The compressor operating speed N when the phase current modulus is extremely small s (n min This method estimates the adjustment amount of the stator inductance at the current moment and estimates the inductance of the stator inductance at the next moment based on the current stator inductance and the adjustment amount. This method utilizes the physical quantities of vector control to improve the accuracy of stator inductance estimation.

This invention provides a method and control device for self-heating a lithium battery in an electric vehicle when stationary. The self-heating method includes the following steps: a motor controller uses a sinusoidal pulse width modulation method combined with a current closed-loop control strategy to control a three-phase inverter; by controlling the alternating switching of a pair of specific spatial switching vectors, the two-phase stator windings of the permanent magnet synchronous motor are connected in parallel and then in series with the third-phase stator winding, effectively reducing the three-phase inverter to a single-phase inverter at the hardware topology physical level; under this equivalent topology, the stator inductance of the permanent magnet synchronous motor is used as an energy storage element to achieve repeated charging and discharging with the lithium battery; simultaneously, the alternating switching of specific spatial switching vectors is controlled to physically fix the spatial direction of the stator's composite magnetomotive force, passively aligning the rotor's magnetomotive force with the stator's composite magnetomotive force, thereby keeping the motor stationary; the corresponding control device consists of the above-mentioned main circuit and the motor controller executing the control program, and the main circuit does not require additional power switching devices, achieving zero additional hardware cost and zero additional space occupation, eliminating dependence on rotor position sensors, reducing system complexity and improving safety during parking heating.

This invention provides a method for estimating the static initial position of a permanent magnet synchronous motor and a method for identifying the stator inductance. Rated positive and negative pulse voltages are sequentially injected into the windings of phases AB, BC, and CA of the motor. The response current values ​​of each phase under the rated positive and negative pulse voltages are recorded, and the current response difference ΔI between phases AB, BC, and CA in the three-phase stationary coordinate system is calculated. ab ΔI bc and ΔI ca The Clark transformation is performed on the current response difference between each phase to obtain the current response difference ΔI in the α-β axis two-phase stationary coordinate system. α and ΔI β Based on ΔI α and ΔI β Calculate the initial rotor position θ. Based on the calculated initial rotor position, calculate the stator inductance of the permanent magnet synchronous motor. This invention obtains the rotor position directly from the current pulse response through coordinate transformation and solution, eliminating intermediate conversion steps, reducing data loss, and ensuring data accuracy.

The embodiment of the invention relates to a non-intrusive method for identifying parameters of an induction motor and electronic equipment. The method comprises the following steps: acquiring a transient voltage, a transient current and a starting process duration of the starting process of the induction motor under a synchronous dq coordinate; obtaining a feasible region of an estimator of the resistance of the stator winding and an estimator of the leakage inductance of the stator winding, and generating a two-dimensional search grid; equivalent resistance and equivalent reactance of the induction motor at a real load operation point are obtained; constructing an induction motor impedance circle by using the feasible region and the equivalent resistance and the equivalent reactance at the real load operation point; and calculating an objective function of each grid point in the two-dimensional search grid, searching stator resistance and stator inductance of a global optimal grid point enabling the objective function value to be minimum, and obtaining an impedance parameter of the induction motor. According to the embodiment of the invention, the impedance circle diagram of the induction motor is adopted, the number of solving equations is increased, the difficulty of impedance parameter solving is reduced, and non-intrusive parameter identification is realized.

The invention relates to the technical field of motor manufacturing and power electronic driving control, in particular to a variable-frequency energy-saving motor and a braking system thereof, and the system comprises an integrated magnetic circuit transmission module, an impedance self-adaptive adjustment module and a high-frequency harmonic suppression module; wherein the impedance adjusting module adjusts topology according to the magnetic flux density; when the magnetic flux density is lower than a threshold value, a low-magnetic-resistance path is formed; when the voltage is higher than the threshold value, local magnetic saturation is utilized to block an original path, and magnetic flux is forced to migrate to a deep yoke part; the strategy of changing the space into the linearity effectively compensates magnetic conductivity reduction caused by material saturation, maintains the stator inductance in a linear range, solves the problem of brake failure caused by inductance collapse under high current, avoids over-current shutdown of a frequency converter, and remarkably improves the reliability of the motor under limit brake.

The invention discloses an asynchronous motor excitation inductance calibration system and method, and the method comprises the steps: measuring the leakage inductance value of a motor rotor according to the operation data of a motor in a locked-rotor operation state of the motor; the method comprises the following steps: determining motor stator inductance values under different direct-axis currents according to direct-axis currents and quadrature-axis voltages during operation of the motor at a fixed rotating speed of the motor, and calculating motor excitation inductance values under different direct-axis currents according to the motor stator inductance values under different direct-axis currents and the motor rotor leakage inductance values, making a mapping table of the direct-axis current and a motor mutual inductance parameter by using the direct-axis current and the corresponding motor rotor leakage inductance value, the motor stator inductance value and the motor excitation inductance value; and when the motor normally operates, calculating equivalent direct-axis current according to the direct-axis current and the quadrature-axis current when the motor operates, and querying a mapping table of the direct-axis current and the motor mutual inductance parameters according to the equivalent direct-axis current so as to obtain the real-time mutual inductance parameters of the motor under the current operation condition.

This invention discloses a control method for maximizing the voltage support capability of a doubly-fed induction generator (DFIG) wind turbine considering rotor-side constraints. First, an analytical model of the system's dual-sequence voltage and current, incorporating the stator inductance and magnetizing inductance of the DFIG, is established. Then, under the premise of strictly satisfying the overcurrent and overvoltage constraints of the rotor-side converter, the optimal positive-sequence and negative-sequence rotor current injection angles are analytically derived with the goal of maximizing positive-sequence voltage support and maximizing negative-sequence voltage suppression. The key innovation of this invention lies in revealing that the optimal injection angle depends not only on the grid impedance parameters but also significantly on the inherent inductance parameters of the DFIG. Simulation results show that the current command generated using this method can significantly improve the positive-sequence voltage at the point of common coupling during faults and reduce the negative-sequence voltage, thereby reducing voltage imbalance and achieving effective grid support.

The application discloses a permanent magnet synchronous motor flux linkage observer parameter compensation method based on an improved hybrid beluga optimization algorithm, proposes a customized improved HBWO algorithm for a flux linkage observation scene, and realizes 3-dimensional compensation factors through the algorithm. Firstly, the harmonic compensation factor is used for harmonic cancellation of the shaft voltage signal, and high-frequency interference in the electric signal is suppressed. Secondly, the resistance compensation factor is used for dynamic correction of the stator resistance parameter, and resistance drift caused by motor temperature change is adapted. Thirdly, the inductance compensation factor is used for real-time updating of the stator inductance parameter, and inductance change caused by load fluctuation is matched. The optimization factor is embedded into an error preprocessing link and a parameter correction link of the flux linkage observer, noise reduction of the observer input signal and adaptive updating of core parameters are realized. Compared with the prior art, the application effectively improves the precision and stability of the flux linkage observer, and is suitable for high-precision control scenes of the permanent magnet synchronous motor under the conditions of medium and high speed and variable load.

The application provides a motor control method and an electronic device. The method comprises the following steps: when a starting instruction of a motor is acquired, detecting a performance parameter of the motor, wherein the performance parameter comprises a stator inductance value of the motor; acquiring a preset motor starting condition; the motor starting condition comprises that the stator inductance value is within a reference inductance threshold range; and starting the motor according to the starting instruction when the performance parameter meets the motor starting condition. The application detects the performance parameter of the motor before starting the motor, and allows the motor to start only when the performance parameter meets the preset motor starting condition, thereby avoiding the situation that the motor is started in the case that the motor has a fault and the motor is damaged, and achieving the purpose of protecting the motor.

The invention provides a parameter design method, system and device for an output filter of a frequency converter and a medium, and relates to the technical field of frequency converter filtering, and the method comprises the steps: obtaining a target parameter of the frequency converter; determining a first resonant frequency constraint condition of an output filter in the frequency converter according to the rated fundamental frequency and the pulse width modulation switching frequency; determining total control delay according to the pulse width modulation switching frequency, determining a second resonant frequency constraint condition of the output filter based on the total control delay and controller parameters of the frequency converter, and further determining a resonant frequency range of the output filter; determining a filter capacitance parameter range of an output filter according to the rated voltage, the rated current and the rated fundamental wave frequency; and according to the resonant frequency range, the filter capacitance parameter range and the motor stator inductance, determining a target resonant frequency, a target filter capacitance parameter and a target filter inductance parameter of the output filter. Resonance of the output filter of the frequency converter can be effectively suppressed, and the risk of instability is effectively avoided.

The application discloses a permanent magnet synchronous motor multi-parameter online identification method based on a double sampling principle and belongs to the technical field of parameter identification. First, twice current sampling is carried out in a single SVPWM control period of the permanent magnet synchronous motor to obtain two groups of discrete current data. Second, a motor mathematical model is constructed according to the two groups of current data and corresponding voltage signals to form a full rank equation set. Finally, recursive least square method is adopted to perform parameter iterative calculation on the mathematical model to identify the stator resistance, stator inductance and rotor flux linkage parameters of the permanent magnet synchronous motor in real time. The application realizes the expansion of the permanent magnet synchronous motor model equation without additional injection signals, realizes the online simultaneous identification of the motor multi-parameters including the motor stator resistance, stator inductance and permanent magnet flux linkage, and is helpful to the design and implementation of the permanent magnet motor control strategy.

The invention provides an inductance determination method of a permanent magnet synchronous motor and a related device, and relates to the technical field of permanent magnet synchronous motors. In the application, when the operation condition of the permanent magnet synchronous motor changes, the iron loss of the permanent magnet synchronous motor can be influenced, and the influence of the iron loss on the inductance determination of the permanent magnet synchronous motor is considered in the application, so that the operation of motor parameter immobilization, disturbance addition and augmented state variable construction can be carried out based on the stator torque current differential model; the method comprises the following steps: obtaining a state space expression, carrying out error correction operation on the state space expression to obtain an estimated value of the ferroelectric current, an estimated value of the torque current and an estimated value of the total disturbance of the system, and calculating the total disturbance of the system by utilizing the estimated value of the ferroelectric current, the estimated value of the torque current and the estimated value of the total disturbance of the system. And a more accurate stator inductance value of the permanent magnet synchronous motor can be obtained under different operation conditions.

This invention provides a chassis control method for an amphibious humanoid welding robot based on magnetic wheel drive, employing a zero-delay, rapid calculation three-vector model for predictive control of the motor; the input of the zero-delay, rapid calculation three-vector model is the target current; the current parameter Pr(k) in the zero-delay, rapid calculation three-vector model is [RL]. s ψ f ] T The parameters are estimated in real time using a forgetting factor recursive least squares method parameter identification algorithm; where R is the stator resistance of the motor; L s For the stator inductance of the motor; ψ f The rotor flux linkage of the motor is used. The forgetting factor recursive least squares parameter identification algorithm is implemented based on a q-axis discretized mathematical model and a least squares recursive formula with a forgetting factor. This method can effectively reduce current harmonic distortion rate, improve torque stability, and suppress the influence of external environmental changes such as temperature on motor parameters, achieving accurate parameter identification. The model predictive control algorithm can then better control the robot chassis, making its movement smoother and ensuring welding stability.

The invention relates to a permanent magnet synchronous motor and control thereof, in particular to a permanent magnet synchronous motor resistance and inductance identification method applied to the parameter identification technology of the permanent magnet synchronous motor. The invention discloses a permanent magnet synchronous motor resistance and inductance identification method based on a current closed-loop mode. The method comprises the following measurement and identification methods: setting a working point for measuring an inverter switching device to avoid a non-linear region; measuring a stator resistance value of the permanent magnet synchronous motor at a working point, and setting a direct-axis reference current value of the permanent magnet synchronous motor as a low-frequency periodic square wave signal with direct-current bias for measurement; measuring the direct-axis inductance value of the permanent magnet synchronous motor stator at the working point, and measuring the inductance of the permanent magnet synchronous motor stator by setting the direct-axis reference current of the permanent magnet synchronous motor as a high-frequency periodic sine wave with direct-current bias; the quadrature-axis inductance value of the stator of the permanent magnet synchronous motor is measured at a working point, and the quadrature-axis inductance of the stator of the permanent magnet synchronous motor is measured by setting the direct-axis reference current of the permanent magnet synchronous motor as direct current and the quadrature-axis reference current of the permanent magnet synchronous motor as high-frequency periodic sine waves with direct-current bias. The stator resistance and the quadrature-direct axis inductance value of the servo motor are accurately measured through the inverter, and the measurement stability and accuracy are improved.

The present application relates to a magnetic flux control method, a garden device that applies the magnetic flux control method, an electronic device, and a storage medium. The magnetic flux control method includes: assessing whether the motor is running. If the motor is running, a magnetic flux observer is introduced to monitor the rotor angle, and a parameter identification formula is used to identify the parameters in order to determine the latest identified resistance value R. S and a latest identified stator inductance value L S to obtain. The magnetic flux observer uses the latest identified resistance value R. S and the latest identified stator inductance value L STo derive an observation angle, an I / F-forced towing operation is introduced, in which the motor runs at a preset forced towing angle based on a forced towing current. The absolute value θ of the angular difference between the observation angle and the forced towing angle is calculated. The absolute value θ is compared to a preset threshold. If the absolute value θ is not greater than the preset threshold, closed-loop control is initiated and the I / F-forced towing operation is terminated. If the absolute value θ is greater than the preset threshold, the I / F-forced towing operation continues. Parameter identification is performed concurrently during the forced towing operation.This allows the observer to capture a more accurate angle, leads to greater stability after the transition to sensorless operation, and improves the robustness of the system.