568 results about "Flux linkage" patented technology

The invention relates to the field of motor control, and discloses a permanent magnet synchronous motor enhanced active-disturbance-rejection control method based on a superhelix control law, which comprises the following steps of: firstly, establishing a permanent magnet synchronous motor mathematical model by considering load disturbance, current sampling disturbance and flux linkage parameter change disturbance in actual motor operation; according to the mathematical model of the permanent magnet synchronous motor and the mathematical characteristics of the active disturbance rejection controller, constructing an observer equation by using a differential relationship, and solving the problem of observation error accumulation through the differential relationship; a lumped disturbance compensation function is introduced into the observer, the anti-interference capacity of the control system is enhanced, and decoupling of steady-state and dynamic performance control parameters is achieved; and finally, designing a state error feedback control law by adopting a super-spiral sliding mode control law, so that the anti-interference capability of the active-disturbance-rejection controller is further improved, and the inherent buffeting of the system is weakened. A simulation result shows that compared with a traditional PI control method, the control method has better dynamic response performance and anti-interference performance.

The invention relates to the technical field of motor control, and discloses a low-noise flux linkage adaptive feedback control system of a high-speed motor. The system comprises an acquisition module used for acquiring current, voltage and vibration data of a high-speed motor at various operation rotating speeds to obtain operation parameters and noise characteristic data of the high-speed motor; the transformation processing module is used for performing frequency domain orthogonal transformation processing on the operation parameters and the noise characteristic data of the high-speed motor to obtain flux linkage real-time observation data; the self-adaptive analysis module is used for executing multi-mode working condition self-adaptive analysis according to the flux linkage real-time observation data and generating flux linkage control reference values of different rotating speed intervals; and the output module is used for inputting the flux linkage control reference values of different rotating speed intervals into a magnetic-machine coupling control algorithm, and calculating and outputting a motor low-noise driving control signal. According to the method, the problem of magnetic flux path distortion under high-speed operation is effectively solved, and downtime and efficiency loss caused by a traditional off-line calibration method can be avoided.

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 an adaptive current decoupling control method for a sliding mode of a permanent magnet synchronous motor, and the method comprises the steps: designing an extended state observer to observe a d-q axis current and a voltage disturbance term, carrying out the difference between a current observation value and a reference current, and inputting the difference into a non-singular integral terminal sliding mode controller, thereby obtaining a d-q axis voltage; and then the observed d-q axis voltage disturbance term is superposed to form a total d-q axis voltage. And then identifying the d-q axis inductance and permanent magnet flux linkage of the permanent magnet synchronous motor by using a recursive least square method with dynamic forgetting and adaptive regularization factors, and sending the d-q axis inductance into the extended state observer to realize a closed-loop adaptive extended state observer. And after coordinate transformation and space vector pulse width modulation are carried out on the d-q axis total voltage, the d-q axis total voltage is used for driving an inverter to control the permanent magnet synchronous motor. The method improves the current decoupling effect and anti-disturbance capability of the permanent magnet synchronous motor, adaptively adjusts the parameters of the controller according to the change of working conditions, and improves the robustness of the system.

The invention discloses an AC excitation system rotor initial position on-line identification method and system, and the method comprises the steps: collecting a stator three-phase voltage signal when a stator is no-load, carrying out the Clarke conversion of the signal, obtaining a voltage component under a static coordinate system, and carrying out the low-pass filtering processing; calculating a stator flux linkage based on the stator current and the processed voltage component, and calculating a rotor flux linkage based on the rotor current; the rotor initial position offset is continuously accumulated through closed-loop adjustment by calculating the stator and rotor flux linkage angle and the phase difference until the phase difference approaches zero, and the accumulated rotor initial position offset is output; and combining the mechanical angle output by the encoder with the accumulated rotor initial position offset to obtain a corrected rotor position angle, and updating the corrected rotor position angle to an excitation system. According to the method, the in-phase characteristics of stator and rotor flux linkages are utilized, and the optimally designed low-pass filter is combined, so that the identification precision of the initial position of the rotor is remarkably improved, and the zero offset of the encoder is effectively compensated.

The invention discloses a neural network enhanced active-disturbance-rejection current control method for a flux-adjustable permanent magnet synchronous motor, belongs to the technical field of motor control, and aims to solve the problem of current loop performance deterioration caused by dramatic change of motor parameters in the flux adjusting process of the flux-adjustable permanent magnet synchronous motor. The method comprises the following steps: acquiring the current magnetization state and direct-axis current of the motor; based on the magnetization state and the direct-axis current, time-varying parameters of the motor are predicted online in real time through a neural network, and the predicted time-varying parameters comprise direct-axis inductance, quadrature-axis inductance and permanent magnet flux linkage; calculating a feed-forward compensation voltage based on the predicted time-varying parameter; generating a current instruction value by using the predicted time-varying parameter and the feed-forward compensation voltage; generating an active-disturbance-rejection feedback control voltage based on the predicted time-varying parameter and the current command value; and superposing the feed-forward compensation voltage and the active-disturbance-rejection feedback control voltage to obtain a final voltage given value for driving the motor.

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 embodiment of the invention provides a sensorless control method, device and equipment for a permanent magnet synchronous motor, and belongs to the technical field of motor control. The method comprises the following steps: obtaining an initial flux linkage observation change model; performing error determination on the initial flux linkage observation change model to obtain a flux linkage observation error model; performing rotor position calculation through the initial flux linkage observation change model to obtain the rotor position of the target motor, and performing variable quantity analysis on the rotor position to obtain the motor rotating speed of the target motor; updating initial model parameters in the initial flux linkage observation change model through the flux linkage observation error model to obtain a target flux linkage observation change model; obtaining a target observation flux linkage and a target two-phase static coordinate system current of the target motor; and performing rotor position calculation on the target observation flux linkage and the target two-phase current through the target flux linkage observation change model to obtain a target rotor position. According to the embodiment of the invention, the rotor position can be calculated for the motor in different operation stages.

The invention relates to a doubly-fed variable-speed pumped storage unit fractional order PID additional frequency control method and system, and the method comprises the steps: building an electrical mathematical model of a doubly-fed induction motor based on a synchronous rotating coordinate system, enabling a stator flux linkage to be aligned with the d-axis direction through employing a stator flux linkage directional control strategy, and enabling the stator flux linkage to be aligned with the d-axis direction; therefore, decoupling adjustment of active power and reactive power output by the unit is realized. The frequency deviation between the power grid common connection point frequency and the rated frequency is obtained and serves as an input signal of the fractional order PID additional controller, the frequency deviation can be effectively restrained under various working conditions, the system stability and the inertia supporting capacity are enhanced, and the method is suitable for auxiliary frequency control of a variable speed pumped storage unit in a high-proportion new energy power grid.

The invention discloses a flux linkage tracking full-speed-domain high-precision predictive current control method for a permanent magnet synchronous motor, and the method comprises the steps: sampling a phase current signal, a position signal and a speed signal of the permanent magnet synchronous motor, and obtaining a dq sampling current through coordinate transformation; calculating a predicted current according to the established tracking discrete model; the sinusoidal variation characteristic and the dynamic transient characteristic of the resistance voltage drop are accurately considered in the current prediction and reference voltage calculation stage, and the resistance voltage drop is accurately represented through accurate feed-forward compensation of predicted current and reference voltage; a driving signal of the inverter is obtained through coordinate transformation and space vector modulation, and full-speed-domain high-precision fast-response current prediction control over the permanent magnet motor is achieved. According to the method, the current flow steady state control error caused by the model error is reduced, the current control precision and the dynamic response performance of the permanent magnet synchronous motor in the full-speed domain are effectively improved, and a high-precision model basis is provided for high-precision position-free control and parameter online identification.

The invention discloses a complex wave-based permanent magnet synchronous motor all-electrical parameter online identification method and device. The method comprises the following steps: analyzing the influence of a voltage error caused by dead zone time on parameter identification, and performing corresponding dead zone compensation; a bias complex wave with a certain amplitude and frequency is injected into the d-axis current, so that the d-axis current meets a parameter identification continuous excitation condition; constructing three groups of effective current slopes through four groups of different input data stored in the steady state of the motor, and identifying three groups of parameters of resistance, direct-axis inductance and quadrature-axis inductance by referring to a d-axis voltage equation and adopting a least square method with a forgetting factor; and finally, updating the identified three groups of parameters as known quantities in a q-axis voltage equation in real time, storing two groups of different input data to construct a group of effective current slopes, and identifying flux linkage parameters by adopting a least square method with a forgetting factor. According to the method, the under-rank problem of all-electrical parameter identification of the motor is solved, the identification precision is high, and the identification error of each parameter is about 3%.

The invention relates to the technical field of torque control, in particular to a motor torque control method, system, equipment and medium, and the method comprises the following steps: obtaining a winding temperature rise and rotating speed signal through a temperature and rotating speed sensor, calculating the resistance and flux linkage offset, and filtering to obtain a torque evaluation parameter; the acceleration and inertia reference are compared to obtain inertia disturbance, a least square method is combined to calculate a compensation coefficient, a current component is corrected to synthesize an expected torque, a torque error is calculated to judge whether the torque reaches the standard or not, and a torque control result is output and optimized. Load changes are quickly responded through filtering and inertia disturbance recognition, differential calculation is conducted on the relation between acceleration and a correction coefficient to act on a current component, torque output is stable, coefficient iterative optimization is promoted through error comparison, fluctuation is reduced, efficiency is improved, and reliable control over the motor under the complex working condition is kept.

The invention discloses a torque ripple suppression method and control device based on permanent magnet flux linkage harmonic identification, and the method comprises an online identification process and a torque ripple suppression process, and is used for suppressing the torque ripple of a built-in permanent magnet synchronous motor. The online identification process comprises a permanent magnet flux linkage harmonic identification step, a dead zone voltage harmonic compensation step and a harmonic component extraction step; the torque ripple suppression process comprises the steps of inputting a pre-recognized flux linkage harmonic lookup table to obtain fifth and seventh permanent magnet flux linkage harmonics, predicting torque ripple according to a magnetic co-energy model, outputting an optimal stator current reference value, obtaining sixth harmonic voltage for suppressing the torque ripple, and driving the motor by using an SVPWM strategy after a fundamental component and a harmonic component are superposed.

The invention provides a motor detection method and device, electronic equipment and a storage medium, and the method comprises the steps: controlling a motor to operate under a first identification parameter, and calculating a phase resistance value of the motor under the first identification parameter; controlling the motor to operate under a second identification parameter, and collecting a sinusoidal current response signal of the motor under the second identification parameter; calculating a d-axis inductance value and a q-axis inductance value based on the sinusoidal voltage excitation signal, the sinusoidal current response signal and the phase resistance value; the motor is forcibly dragged in a current-frequency ratio control mode, so that the rotating speed of the motor is increased to the target rotating speed; and calculating the flux linkage coefficient by combining the steady-state voltage and the current value of the motor at the target rotating speed with the d-axis inductance and the q-axis inductance. According to the method, the detection precision of the motor parameters can be improved.

The invention discloses a control method for a network-forming type modular multilevel converter and related equipment. Under the condition of not changing a control system of the network construction type modular multilevel converter, the synchronization stability of the network construction type modular multilevel converter in a strong power grid can be greatly improved only by subtracting a three-phase flux linkage per unit value at an outlet of a grid-connected point filter from a three-phase reference voltage per unit value generated by the control system. A three-phase flux linkage calculation mode at an outlet of a filter of the modular multilevel converter is that an average value is subtracted from an integral of a per-unit value of a three-phase voltage instantaneous value. The method can be realized only by subtracting the three-phase flux linkage value from the three-phase voltage reference value generated by the control system and feeding the calculation result into the modulation link, the implementation mode is simple, and the method is suitable for all existing modularized multi-level converter network tracking and network construction control systems. After the flux linkage feedback control provided by the invention is applied, the synchronous stability of the converter can be greatly improved, and the flux linkage feedback control method can be widely applied to the technical field of power system automation.

The invention discloses a synchronous motor sensorless control method based on a Newton-Raphson predictive phase-locked loop, and relates to the technical field of motor control. The invention aims to solve the problems that an existing position-sensorless control method is limited by extra loss and noise caused by high-frequency signal injection in the aspect of position signal extraction and poor dynamic performance caused by a traditional phase-locked loop technology, and a prediction phase-locked loop technology needs a large amount of iterative operation for solving a cost function. According to the method, the flux linkage estimation value of the alpha-beta coordinate system is observed, the filtered flux linkage estimation value of the alpha-beta coordinate system is reconstructed, and then a cost function is constructed; when the number of iterations in the current motor control period does not reach the maximum, updating a rotor position angle by using a Newton method, and further updating a cost function; and when the number of iterations in the current motor control period reaches the maximum, calculating a convergence angle in the current motor control period by using an improved Newton method, and calculating an angular velocity estimated value, thereby realizing position-sensorless control of the synchronous motor.

The invention discloses an LC filtering type permanent magnet motor system prediction flux linkage control method and system and a medium, and belongs to the field of power electronics and power transmission. State variables of an LC filtering type permanent magnet motor system at the k moment are sampled, a discrete state-space equation of the system is established by adopting a zero-order retainer method, and a stator flux linkage vector prediction model is established; obtaining a stator flux linkage vector reference by using the electromagnetic torque reference and the parameters of the permanent magnet motor; constructing a loss function, and solving an inverter optimal control vector reference considering the system voltage constraint; park inverse transformation is referred to for the optimal control vector of the inverter, control pulses are generated through space vector modulation and act on an inverter switching tube, and LC filtering type permanent magnet motor system predictive flux linkage control is completed. According to the method, common control of the torque and the flux linkage can be realized only by controlling the stator flux linkage vector, and excellent torque flux linkage control performance can be obtained without any design parameter.

An offline flux-linkage and moment-of-inertia identification method for a permanent magnet synchronous motor, the method comprising: on the premise that a pole-pair number Pn, a stator resistance Rs, and a stator inductance Ls of a motor are known, tuning PI parameters of a current loop and a speed loop; in a dual closed-loop mode for current and speed, identifying the flux linkage of the motor by using a recursive least squares method with a forgetting factor; in a current closed-loop mode, injecting a low-frequency current signal having progressively increasing amplitude and frequency, and determining a current magnitude required to start the motor and rotate same to a preset rotation speed threshold; and using acceleration / deceleration methods to identify the moment of inertia of the motor, wherein the motor is rotated forward and backward and identification is performed multiple times, and a median value is obtained by ranking to improve identification accuracy. The flux-linkage and moment-of-inertia identification processes are simple, stable, and reliable, the accuracy of identification results is high, one-click parameter identification can be achieved, and the method has a wide range of applications and is applicable to permanent magnet synchronous motors with various parameters.

The invention relates to a transverse magnetic circuit module complementary magnetic flux reverse motor, comprising: a stator assembly comprising a plurality of U-shaped stator cores arranged circumferentially, a front module permanent magnet, a rear module permanent magnet, a front module armature winding and a rear module armature winding; and the rotor assembly comprises a front rotor module and a rear rotor module which are axially distributed and have the same structure, rotor salient pole teeth are respectively arranged on the inner side surfaces of the front rotor module and the rear rotor module along the circumferential direction, and the rotor salient pole teeth on the front rotor module and the rotor salient pole teeth on the rear rotor module are arranged in a staggered manner along the circumferential angle. The electromagnetic torque density is remarkably improved through magnetic circuit topology optimization, more excellent power output characteristics are achieved, meanwhile, armature winding turn chain magnetic flux directions of the front module and the rear module are opposite, the phase difference is 180 deg electrical angle, magnetic linkages of the two modules are complementary, even harmonics of the magnetic linkages are counteracted after synthesis, in addition, the unique stator structure improves the air gap magnetic density of the motor, and the motor efficiency is improved. And the motor power density is improved, and the application and popularization value is extremely high.

The invention discloses an induction motor model predictive current control method based on a generalized flux linkage error and a closed-loop flux weakening strategy, and belongs to the field of induction motor speed regulation control. According to the method, the problem that the existing control method cannot simultaneously meet the requirements of not adding extra flux weakening weight factors in a value function, not depending on motor parameters, carrying out closed-loop control and not causing current following error increase under single-vector model predictive current control is solved. The method specifically comprises the steps of 1, defining a generalized flux linkage vector reference value and a generalized flux linkage predicted value, and obtaining a relation between a basic generalized flux linkage vector and a basic voltage vector according to the generalized flux linkage predicted value; step 2, obtaining a value function of single vector model predictive current control of the induction motor according to a result of the step 1; and step 3, obtaining an optimal voltage vector according to the value function, and generating a flux weakening current component for compensation according to the basic generalized flux linkage vector corresponding to the optimal voltage vector. The method can be applied to model predictive current control of the induction motor.

The invention discloses a rotating speed loop control method for stable magnetic adjustment of a magnetic flux adjustable permanent magnet synchronous motor, belongs to the field of motor control, and aims to solve the problem that reluctance torque changes drastically during online magnetic adjustment of the magnetic flux adjustable permanent magnet synchronous motor. The method comprises the following steps of: 1, training a neural network model by taking an inductance parameter and a permanent magnet flux linkage which change along with a magnetization state and a direct-axis current as a data set; step 2, obtaining motor quadrature-direct axis current according to the collected stator current and rotor position information, and obtaining prediction values of motor inductance parameters and permanent magnet flux linkage through the trained model; 3, inputting the motor quadrature-direct axis current, the inductance parameter prediction value and the permanent magnet flux linkage prediction value into a torque-current gain adjuster to obtain a reluctance torque corresponding component prediction value and an adjusted torque-current gain; 4, obtaining a given value of quadrature-axis current, and further obtaining a driving signal of the inverter; and repeating the steps 2-4, and suppressing the torque rotating speed pulsation during the magnetic adjusting period.

The invention provides a surface-mounted permanent magnet synchronous motor full-rank online parameter identification method and system, and relates to the technical field of synchronous motors. According to the method, firstly, low-frequency small current is injected into a d axis, deformation is carried out on a voltage equation of the d axis of the motor under the condition, decoupling of the resistance Rs of a stator and other parameters is achieved, on this basis, the resistance Rs serves as a known quantity, decoupling psi f of inductance Ls and flux linkage is achieved through other voltage equations, and finally an identification model of the three parameters is obtained; and finally, a forgetting factor least square recursion formula is combined with an identification model of the three parameters to realize online dynamic identification of the motor parameters. According to the method, the three parameters of the resistance Rs, the inductance Ls and the flux linkage psi f can be identified on line, parameter identification does not depend on the working state of the motor, and real-time identification of the dynamically changing motor parameters in the working process of the motor is achieved.

The invention discloses a permanent magnet synchronous motor temperature monitoring and demagnetization early warning method based on chaotic signal injection and multi-parameter fusion. Comprising the steps of 1, generating a wide-spectrum chaotic signal based on a Lorenz chaotic system, and injecting the wide-spectrum chaotic signal into a d-axis voltage channel of a d-q-axis mathematical model of the permanent magnet synchronous motor; 2, identifying stator resistance RS and d-axis inductance Ld by using a least square method; 3, a Kalman state space model with the winding temperature Tw and the magnetic steel temperature Tm as state variables is constructed, the resistance Rs and the inductance Ld which are measured in real time are fused, the observation noise covariance R is adjusted in a self-adaptive mode, and the winding temperature Tw and the magnetic steel temperature Tm are output in a decoupling mode; step 4, establishing a motor back electromotive force model to calculate a real-time flux linkage psi f, and calculating a motor temperature rise rate # imgabs0 # through a sliding window weighted average method; and step 5, performing demagnetization risk grading early warning according to the flux linkage and the temperature rise rate of the motor.

The present invention relates to the technical field of intelligent control of reluctance motors, and discloses an intelligent control system and method for a switched reluctance motor, comprising an acquisition module for acquiring the inductance, magnetic flux and winding current of a magnetic circuit, a data processing module for processing the acquired data and calculating the rotor angular position and outputting the electromagnetic torque, a torque monitoring unit for monitoring the electromagnetic torque of the switched reluctance motor, a control module for controlling the operation of the motor, a fault monitoring module for monitoring abnormal conditions, and an energy recovery module for recovering energy generated during motor braking. The intelligent control system and method integrate control strategies and algorithms, and can dynamically adjust parameters such as motor torque and angle according to the operating status of the motor, thereby improving the operating efficiency and response speed of the motor.

The invention relates to a DSVM-based SMPMSM driving system simplified two-stage model prediction torque control method, and solves the defect that in the DSVM-based permanent magnet synchronous motor driving system FCS-MPTC technology, it is difficult to realize collaborative optimization control of three control targets including motor torque, stator flux linkage and inverter switching frequency. The method comprises the following steps: generating a first-stage candidate voltage vector set; generating a motor torque and a stator flux linkage global optimal voltage vector; generating a stage II candidate voltage vector set; and generating an optimal voltage vector of the inverter. According to the method, the real-time calculation burden of the algorithm is reduced, and meanwhile, the weight-factor-free model prediction torque multi-target optimization control of the motor torque, the stator flux linkage control performance and the inverter switching frequency is realized.

The invention discloses an on-line multi-parameter identification method and system for a permanent magnet synchronous motor, and the method comprises the steps: injecting a high-frequency sinusoidal voltage signal into a given voltage outputted by a d-axis and a q-axis during the operation of the permanent magnet synchronous motor, enabling the given voltage to serve as the input of a PWM module, and outputting a PWM signal to drive the permanent magnet synchronous motor; reconstructing a three-phase step voltage of an actual motor port as a voltage signal of a parameter identification strategy; converting the reconstructed three-phase step voltage of the motor port and the three-phase current measured by a sensor into reconstruction voltage and measurement current under d and q axes through coordinates, and then extracting amplitudes and phases of a high-frequency voltage signal and a high-frequency current signal in the reconstruction voltage and the measurement current; substituting into a high-frequency impedance model to obtain d-axis and q-axis inductances at the moment; and in combination with the voltage, current and rotating speed information at the moment, resistance and flux linkage parameters are solved by adopting a least square method with a forgetting factor, finally four parameters of the permanent magnet synchronous motor are obtained, and online multi-parameter identification is realized.

The invention discloses a suspension flux linkage repetitive control method for a single-winding bearingless flux switching motor. A rotor dynamic eccentric suspension flux linkage model is established according to a magnetic suspension rotor system of the single-winding bearingless flux switching motor; a model compensation repetitive controller with an integral element, a model compensator and a same-frequency phase shift notch filter is arranged in the magnetic suspension rotor system; the integration element is used for eliminating steady-state errors, the model compensator is used for obtaining inverse system output signals so as to obtain accurate displacement control signals, and the notch filter is used for reducing same-frequency pulsation of rotor radial displacement; an expected suspension flux linkage is obtained through calculation of the model compensation repetitive controller, the expected suspension flux linkage is compared with an actual flux linkage obtained by the flux linkage observer to obtain a flux linkage error, expected voltage is obtained through calculation of the flux linkage error, and therefore an inverter switching signal is obtained. According to the method, the radial displacement pulsation of the rotor under the steady-state working condition and the displacement sudden change phenomenon under the dynamic working condition are effectively treated, and good control is achieved.

The invention discloses a stepless magnetic control system for an intelligent crown block, which belongs to the technical field of electromagnetic control, and comprises a vibration signal acquisition module for acquiring an iron core micro-vibration signal of an electromagnet iron core; the dynamic flux linkage compensation module generates a magnetic flux compensation signal; the inertia trend prediction module generates load inertia change trend information; the multi-dimensional attitude sensing module obtains inclination angle data and tension data; the space-time collaborative decision control module performs space-time weighted fusion on the magnetic flux compensation signal, the load inertia change trend information, the inclination angle data and the tension data to generate collaborative control parameters; the instruction generation module analyzes the cooperative control parameters to generate a magnetic field intensity adjustment instruction; and the cooperative execution module executes the magnetic field intensity adjustment instruction to cooperatively adjust the electromagnetic force. A control strategy of multi-dimensional sensing data fusion and space-time collaborative decision is adopted, magnetic field fluctuation can be effectively compensated, and load swing is actively inhibited.

The invention discloses an SMPMSM driving system direct torque cooperative control method for realizing stator flux linkage observation based on an improved voltage model. Compared with the prior art, the SMPMSM driving system direct torque cooperative control method solves the defects of poor stator flux linkage observation precision and torque control performance in direct torque control of a permanent magnet synchronous motor system. The method comprises the following steps: establishing an SMPMSM dynamic equation based on stator field orientation; designing a stator flux linkage observer based on an improved voltage model; sMPMSM direct torque cooperative control is realized based on an improved flux observer; and generating an inverter reference voltage meeting the voltage constraint condition. According to the method, the influence of a direct-current component inevitably introduced in the current sampling process on the stator flux linkage observation precision is overcome, and the stator flux linkage observation precision and the torque control precision are improved at the same time.

The invention discloses a double-fed asynchronous motor synchronous phase locking control method and device. The method comprises the steps that stator three-phase voltage, stator three-phase current instantaneous values and rotor three-phase current instantaneous values of a double-fed asynchronous motor are collected; acquiring a power grid voltage synchronous phase through a phase-locked loop; performing coordinate transformation on the stator three-phase current instantaneous value, the rotor three-phase current instantaneous value and the stator three-phase voltage based on the power grid voltage synchronous phase to obtain a coordinate transformation result; performing flux linkage calculation according to the coordinate transformation result to obtain a flux linkage calculation result; calculating a rotor voltage dynamic compensation item according to a coordinate transformation result and a flux linkage calculation result; performing power calculation according to a coordinate transformation result, and introducing a rotor voltage dynamic compensation item and a flux linkage calculation result according to a power calculation result to calculate and obtain a rotor target voltage reference value of the doubly-fed asynchronous motor; and generating a control signal according to the rotor target voltage reference value to control the doubly-fed asynchronous motor.