35 results about "Motor model" patented technology

This invention discloses a dynamic weighted adaptive predictive control method and apparatus based on twin model fidelity feedback. The method includes: establishing a digital twin model of the motor to obtain the predicted current of the motor's future state, addressing the impact of motor model uncertainty and time-varying parameters on control performance; calculating the prediction fidelity of the motor's digital twin model in real time based on the predicted current and the measured current of the motor; dynamically adjusting weight factors using a fuzzy logic decision system based on the motor's real-time operating conditions and the prediction fidelity to achieve switching of the control objective; calculating the optimal voltage vector corresponding to minimizing the cost function using model predictive control theory based on the predicted current and the dynamically adjusted weight factors; and achieving operation of the permanent magnet synchronous motor at low switching frequencies based on the optimal voltage vector. This invention can effectively compensate for control delay and model uncertainty at low switching frequencies, significantly improving the high dynamic response performance and robustness of the permanent magnet synchronous motor.

The application discloses an improved flux linkage observer position sensor observation method and system, comprising the following steps: constructing a motor model, and estimating a flux linkage vector; performing amplitude normalization processing on the flux linkage vector, and constructing a quadrature error signal; inputting a phase-locked loop, and obtaining a motor angle and a motor estimated rotating speed. The application has high adaptability, is small in system dependence degree, and is convenient to transplant in different systems.

The application belongs to the technical field of motor control, and discloses a motor model prediction control method based on asymmetric hybrid vector pulse width modulation. Six sectors of a space voltage vector are divided into odd sectors and even sectors. In the odd sectors, only zero vectors and corresponding non-zero effective vectors are used for two-stage asymmetric synthesis, so that switching state changes only occur once in a period. In the even sectors, three-stage asymmetric synthesis is performed on non-zero effective vectors in the sector, non-zero effective vectors in adjacent odd sectors selected by a cost function and zero vectors, so that current tracking performance is ensured while unnecessary switching actions are avoided. Through the above manner, targeted control of switching times in different sectors is realized, and the average switching frequency is reduced. In the even sectors, optimization is performed between non-zero effective vectors in adjacent odd sectors, so that current prediction errors are further optimized without significantly increasing switching times, and current performance is ensured.

This utility model discloses a motor housing explosion-proof pressure-resistant testing device, including a base and two mounting mechanisms mounted on the base. Each mounting mechanism includes a transverse groove vertically extending along the length of the base on one side of its upper surface. A threaded rod is laterally rotatably connected to the middle of the inner surface of the groove, and a threaded sleeve is threadedly connected to the outer surface of the threaded rod. A slider adapted to the length of the groove is slidably connected inside the transverse groove. A through groove adapted to the threaded sleeve is laterally extended through the middle of the side surface of the slider, and the threaded sleeve is vertically slidably connected inside the through groove. Bolt slots extending along the length of the base are vertically extended through the upper surface of the slider and at both ends of the threaded rod. This device features two mounting mechanisms on the base, with elongated bolt slots on the sliders of both mechanisms, and both sliders are capable of lateral movement. This allows the device to adapt to various motor models, thereby improving its versatility.

This invention relates to a drive control method and system for a micro motor, belonging to the field of intelligent control. The method includes: acquiring real-time sound signals and the motor model during micro motor operation; obtaining a reference sound signal based on the motor model; comparing the real-time sound signal with the reference sound signal to determine if there is a sound anomaly in the micro motor; if a sound anomaly is determined, obtaining abnormal acoustic signature features and sound acquisition location information based on the real-time sound signal; combining the abnormal acoustic signature features and sound acquisition location information to locate the specific anomaly location; matching the anomaly handling method according to the specific anomaly location and abnormal acoustic signature features, and controlling a preset actuator to perform the corresponding processing operation according to the anomaly handling method, while simultaneously reporting a sound anomaly handling prompt. This application has the effect of improving the timeliness of fault early warning.

The application discloses a full-order terminal sliding mode control method for a brushless doubly-fed motor independent power generation system, and belongs to the field of motor control. The application solves the problem that the traditional full-order terminal sliding mode control algorithm does not simultaneously consider the matching and non-matching uncertainty caused by motor parameter perturbation in the motor model, resulting in low system output voltage precision, poor system anti-interference ability and control effect. According to the brushless doubly-fed motor mathematical model, the application considers the matching and non-matching uncertainty caused by brushless doubly-fed motor parameter perturbation, determines the voltage loop state equation of the non-matching power winding outer ring voltage subsystem and the current loop state equation of the matching control winding inner ring current subsystem, and designs corresponding inner and outer loop full-order terminal sliding mode controllers for the subsystems to compensate the uncertainty, so that the tracking error of the power winding voltage amplitude converges to zero, and the tracking error of the control winding current amplitude converges to zero. The application is mainly suitable for independent power generation control when the brushless doubly-fed motor is connected to a balanced load.

This invention provides a model-free predictive current control (MFPCC) method for permanent magnet synchronous motors (PMSMs) with vector preselection, based on a hyperlocal model. Based on the hyperlocal model, this invention proposes a low-complexity multi-vector MFPCC. First, a hyperlocal model is used to replace the motor model in traditional MPC, reducing the impact of motor parameter mismatch. Then, to estimate the disturbance term in the hyperlocal model, a sliding diaphragm observer based on a variable-gain reaching law is designed. Finally, a three-vector algorithm with vector preselection is proposed. This preselection scheme evaluates the vector position based on the voltage gradient concept, directly obtaining the optimal voltage vector without traversing vectors and evaluating cost functions, thus reducing computation time.

The application discloses a PMSM-FOC motor model heterogeneous simulation method and device, equipment, storage medium and product, relates to the motor simulation technical field, the PMSM-FOC motor model heterogeneous simulation method, including: obtaining the PMSM-FOC motor model to be simulated;According to the preset performance characteristic rule, the PMSM-FOC motor model is heterogeneous and is divided into a first sub-model and a second sub-model;Code conversion is carried out on the first sub-model to obtain initial code, and the initial code is optimized, and the optimized initial code is deployed to a first hardware unit;The second sub-model is deployed to a second hardware unit, and simulation data of the first hardware unit is received through a preset communication protocol to carry out heterogeneous collaborative simulation.The application solves the technical problem of insufficient real-time performance of software and hardware collaboration of conventional heterogeneous simulation methods.

This invention discloses a DC motor speed control identification method and system based on an improved quasi-Newton method, belonging to the technical field of DC motor speed control system modeling. First, a time-varying nonlinear DC motor speed control system is constructed, and an identification model of this system is obtained. Then, an identification method flow based on the quasi-Newton method under step-size line search is constructed. The optimal step size is obtained through step-size line search for parameter estimation, and a correction strategy is designed to ensure the positive definiteness of the approximation of the Hessian matrix inverse. This invention avoids the oscillation or slow convergence problems caused by a fixed step size by dynamically adjusting the step-size factor, and simultaneously introduces a correction strategy to forcibly guarantee the positive definiteness of the approximation of the Hessian matrix inverse, thereby obtaining more accurate motor model parameters.

An assistance apparatus and computer-implemented method for removing spurious signal components in a measured motor current signal of an electric motor for optimized motor diagnosis is provided, including the steps: receiving the measured motor voltage signal and a measured motor current signal measured at the motor; generating a modelled current signal by a motor model depending on the measured motor voltage signal; generating a reference current signal by the motor model depending on an undisturbed sinusoidal motor voltage signal; adapting a noise removal module to infer optimal denoising parameters by inputting the modelled current signal and the reference current signal into the noise removal module; determining a denoised motor current signal by inputting the measured motor current signal into the adapted noise removal module; and outputting the denoised motor current signal for optimized motor diagnosis.

The application discloses a driving circuit of a motor, a driving current adjusting method and an air conditioning system. The driving circuit comprises a driving chip, a microcontroller and phases of the motor, wherein the driving chip is connected with phase detection terminals of the motor, the microcontroller and the phases of the motor, is used for detecting phases of driving currents of the motor and outputting detection signals to the microcontroller; an adjusting circuit is connected with the microcontroller at an input end and is connected with a reference voltage input end of the driving chip at an output end; and the microcontroller is used for adjusting a duty cycle of a pulse width modulation wave output by the microcontroller according to the phases of the driving currents of the motor, and then adjusting a reference voltage input by the driving chip, so that the driving chip adjusts the driving currents of the motor based on the reference voltage. Through the application, the problem that driving failure is caused by the fact that the size of a driving signal does not match a motor model, and the refrigerant cannot be recovered, can be avoided, and the operation stability and safety of the air conditioning system are improved.

The application provides a stepping motor control code generation method, device, equipment and medium, and belongs to the technical field of stepping motor control code generation. Wherein the first motion sequence of the target stepping motor corresponding to the target model is determined according to the target motion parameter; a plurality of drive models are called based on the first motion sequence, and a code segment is generated according to the plurality of drive models. The manual coding and debugging work originally taking several hours is shortened to the minute level, greatly accelerating the simulation iteration speed, and the generation efficiency is very high. Since the high-precision Sine model and other drive models are integrated, the generated code can truly reflect the dynamic characteristics of the stepping motor, so that the dynamic simulation result is closer to the physical reality, and the simulation experiment accuracy is improved. Through parameterization configuration, various stepping motor models and driving modes can be quickly adapted, and complex motion sequences can be easily generated, meeting the diversified needs of household appliance motion mechanism simulation.

The application discloses a permanent magnet synchronous motor mechanical parameter and electrical parameter identification method, which comprises the following steps: performing nonlinear transformation on a steady-state model of the permanent magnet synchronous motor; performing parameter replacement on the steady-state model with eliminated nonlinear coefficients based on a torque equation and mechanical motion wear in combination with measured data under different rotating speeds; obtaining estimation and performing calculation and value taking; and substituting the obtained result into a motor model for estimating flux linkage to obtain estimated flux linkage and estimated electromagnetic torque. By using the application, the motor damping coefficient and DC bias can be accurately estimated, and motor flux linkage diagrams and electromagnetic torque diagrams that are closer to actual operation conditions of the motor can be obtained. The application can be widely applied to the technical field of permanent magnet synchronous motors as a permanent magnet synchronous motor mechanical parameter and electrical parameter identification method.

Method for sensorless determination of the angular frequency (ωe) and / or position (φe) of a permanent magnet rotor of a brushless electric machine (1), in particular a linear or rotary machine, wherein a d-voltage (ud) and a q-voltage (uq) are provided to the electric machine (1), wherein a high-frequency d-test signal voltage (ud_inj) with a predetermined carrier frequency is applied to the d-voltage (ud) within the framework of an injection method, wherein several phase currents (i1, i2) of the machine (1) are measured and a demodulated current (iq_dem) is determined on the basis of the measured phase currents (i1, i2), wherein a d-voltage deviation (Δud) and a q-voltage deviation (Δuq) are determined on the basis of a motor model (9), in particular a mathematical one.wherein in a fusion device (6) the angular frequency (ωe) and / or position (φe) of the permanent magnet rotor is determined on the basis of the demodulated current (iq_dem) and the d-voltage deviation (Δud) and the q-voltage deviation (Δuq), wherein the fusion device (6) has a controller (22) with an integral component, in particular an integral controller, to which a sum signal is supplied which depends on the demodulated current (iq_dem) and the d-voltage deviation (Δud) and the q-voltage deviation (Δuq) and a feedback of the determined angular frequency (ωe) and / or position (φe) of the permanent magnet rotor, characterized in that the demodulated current (iq_dem) is supplied to a controller with a proportional component, in particular a proportional controller, and an output of the controller with a proportional component is used to generate the sum signal becomes.,

The application relates to the technical field of current harmonic suppression and discloses a dead-time compensation method for deadbeat prediction current control of a permanent magnet synchronous motor. The method comprises the following steps: establishing a motor model of the permanent magnet synchronous motor; obtaining ideal control voltage of the permanent magnet synchronous motor in a current sampling period through a deadbeat current prediction control method according to the motor model; predicting the rotor flux increment and the change amount of the stator side induced electromotive force of the permanent magnet synchronous motor in the current sampling period through the motor model according to the operation state and the motor parameters of the permanent magnet synchronous motor, so as to obtain a disturbance voltage generated by the dead-time of the permanent magnet synchronous motor; superimposing the disturbance voltage and the ideal control voltage to obtain target control voltage, and driving a three-phase inverter of the permanent magnet synchronous motor through the target control voltage, so as to control the operation of the permanent magnet synchronous motor. The application can solve the problems of the increase of current harmonic content and the increase of motor torque ripple caused by the dead-time of the permanent magnet synchronous motor.

The application discloses a kind of high-reliability motor improved deadbeat torque control digital implementation methods, belong to motor drive control technical field.It includes the following steps: construct stator flux oriented coordinate system, acquisition motor signal and establish five-phase fault-tolerant motor model;Full-order Luenberger current observer is constructed to carry out delay compensation and state prediction to five-phase current;Hybrid flux observer is constructed, and integral drift of voltage model is corrected by closed-loop compensation, and the amplitude and phase angle of stator flux are obtained;Deadbeat control is carried out in MT coordinate system, and the simplified linear relationship between electromagnetic torque and load angle is established, and the reference voltage vector is linearly solved;The reference voltage is transformed back to the stationary coordinate system, and the switching signal is generated by using adjacent four-vector space vector pulse width modulation to drive the motor.The application can significantly improve the control performance of five-phase motor under normal operation of control system and the system stability under parameter mismatch, and has important significance for strengthening the reliability and stability of multiphase electric drive system.

The application discloses a high-temperature clamping self-adaptive control method and system based on motor current sensing, and the motor current and rotor position are collected, the electromagnetic torque is estimated based on a motor model, and the real-time clamping force is mapped through a lead screw transmission and a connecting rod mechanism; meanwhile, the friction coefficient is thermally corrected according to the temperature, the upper limit of damage prevention is calculated based on the Hertz contact theory under different working conditions, and the safety interval is constructed in combination with the lower limit of anti-slip; the force increasing, force limiting or steady-state force reducing control is executed according to the comparison between the clamping force and the safety interval; and the anti-slip is preferentially ensured and a warning is given when the safety interval is inverted. The application can realize the real-time sensing of the clamping force without the end force sensor, realizes the adaptive safe clamping in the high-temperature environment, and can effectively avoid the workpiece sliding or surface damage.

A torque required to achieve the modulated reference speed or adjustment of a modulated torque and the actual speed of the centrifugal pump is determined. Then a model speed is calculated with the aid of a mathematical pump-motor model simulating the behavior of the centrifugal pump within a hydraulic system as well as a disturbance signal from a deviation of the model speed from the actual speed of the centrifugal pump. Then a correction signal is determined by integrating the product of the disturbance signal and a sine or cosine signal with a multiple of the excitation frequency over at least one period of the excitation signal. Finally, at least one model parameter of the pump-motor model is determined as a function of the correction signal and the flow rate and / or the head is calculated using the adapted pump-motor model.

The application belongs to the technical field of permanent magnet motor modeling, and discloses a mathematical modeling method of an asymmetric interior permanent magnet motor, which specifically comprises the following steps: considering that the permanent magnet axis of the asymmetric interior permanent magnet motor is ahead of the maximum reluctance axis by 45 degrees of electric angle, selecting the permanent magnet axis as a reference direct axis, and establishing an air gap distribution function of the asymmetric interior permanent magnet motor; according to the air gap distribution function, successively establishing winding magnetic potential, magnetic density and flux distribution functions under the action of A-phase, B-phase and C-phase currents, and calculating an inductance matrix of the asymmetric interior permanent magnet motor; performing park transformation on the motor model in a three-phase coordinate system to obtain a mathematical model of the asymmetric interior permanent magnet motor in a corresponding dq coordinate system. The application realizes the establishment of the mathematical model of the asymmetric interior permanent magnet motor considering the magnetic axis offset, and provides a model basis for the control method design and operation performance analysis of the asymmetric interior permanent magnet motor with improved torque component utilization.

The application provides an independent decoupling motor simulation device, comprising: a power hardware module for generating electrical stress of a to-be-tested electric drive system; and an electrical stress control module connected with the power hardware module, for controlling the motor simulator and providing signals for the to-be-tested electric drive system. The control reference value of the motor simulation device is generated by using signals easily obtained by itself, a target motor model and a model of a port filter, and the AC voltage / current is reproduced at the AC test port through closed-loop / open-loop control, without the need of signal transmission or voltage sampling on the electric drive side. The application can realize decoupling with the to-be-tested electric drive converter, is independent of the voltage sampling accuracy of the to-be-tested electric drive converter port and the signal transmission of the electric drive system, and realizes plug-and-play of the motor simulation device.

The application relates to a motor modeling method, device, computer equipment, computer readable storage medium and computer program product. The method comprises the following steps: determining a reference motor model of a reference motor according to system identification performed on the reference motor; determining a reference physical parameter corresponding to the reference motor according to the reference motor model; performing actual measurement on the reference motor and a target motor to obtain an actual measurement physical parameter of the reference motor and an actual measurement physical parameter of the target motor; determining a parameter mapping coefficient according to the actual measurement physical parameter of the reference motor and the actual measurement physical parameter of the target motor; and obtaining a target motor model of the target motor according to the parameter mapping coefficient, the reference physical parameter and the reference motor model. Through the technical scheme, efficient modeling of the motor is realized.

The application is a kind of steering-by-wire system corner adaptive control method considering nonlinear characteristics. It includes: 1. Building a steering-by-wire system model for controller design, including steering execution motor model, rack and pinion steering gear model; 2. Designing position loop controller based on sliding mode variable structure theory, and applying radial basis neural network to adaptively compensate for the external disturbance of tire return torque and system parameter uncertainty faced by steering-by-wire system; 3. Applying linear active disturbance rejection control theory to design current loop controller, realizing decoupling control of steering execution motor excitation shaft current and torque shaft current. The double-loop corner control method combining position loop controller and current loop controller effectively helps steering-by-wire system to overcome nonlinear problems such as external disturbance of tire return torque, system parameter uncertainty and steering execution motor electromagnetic characteristic coupling, and realizes high-precision and fast-response corner tracking control.

The application discloses an asynchronous motor inter-turn short circuit diagnosis method based on global adaptive threshold fitting. By adjusting the three-phase input voltage of the motor (obtaining different negative sequence voltage amplitude ratios), collecting three-phase currents and detecting load working conditions, the negative sequence voltage amplitude ratio and the negative sequence current amplitude ratio are calculated; a linear function relationship between the two is established according to the asynchronous motor model, a few data are linearly fitted to obtain a global threshold, and a healthy motor adaptive fault threshold table is constructed; according to the negative sequence voltage amplitude ratio and the load working condition under the real-time operation, the corresponding healthy threshold is matched, the difference between the negative sequence current amplitude ratio under the real-time operation and the healthy threshold is taken as a fault feature, and if the difference is greater than 0, it is determined that there is an inter-turn short circuit, and if the difference is less than or equal to 0, it is healthy. The method can adaptively adjust the fault threshold, eliminate errors caused by differences in motor structure and design, and is suitable for all asynchronous motors, and realizes high-precision and high-universality online fault diagnosis.

This invention relates to the field of motor drive and industrial control technology, specifically to an intelligent control optimization method and system for frequency converters. The aim is to solve the technical problems in existing technologies where a single frequency converter cannot independently optimize the energy efficiency of multiple heterogeneous motors and cannot coordinate scheduling to avoid system downtime under limited power conditions. The technical solution is as follows: N virtual motor models are established in the controller, and the actual stator current and speed are collected in real time and input into the models. Each model is constructed with the objective function of minimizing the sum of iron loss and copper loss as the objective function for online optimization, calculating the optimal control command and expected power demand. The controller summarizes the total demand and performs arbitration allocation based on power limits. Depending on whether the demand exceeds the limit, the optimal command is directly adopted or a degradation allocation algorithm based on multi-dimensional weight labels is executed to determine the target control command. Finally, multiple independent PWM signals are generated to control each inverter unit.

This invention discloses a method and application for electromechanical coupling modeling of gear transmission systems. The steps are as follows: First, a 3D model is completed based on the 3D parameters of key components of the actual gearbox, and imported into Ansys Motion to establish a rigid-flexible coupling model of a single-stage fixed-axis gear transmission. Then, a three-phase asynchronous motor model is constructed based on Simulink, and dynamic coupling with the rigid-flexible coupling model is achieved through a speed-torque closed-loop interface to form an electromechanical coupling model. Subsequently, the frequency domain vibration response signals of the output gears under the two models are calculated respectively. Finally, the signals under normal and broken tooth fault states are compared and analyzed to obtain the influence law of the motor drive end and incorporate it into the diagnostic feature library. This method uses the finite element method to improve the realism of the model, clarifies the additional modulation sideband influence brought about by electromechanical coupling, improves the accuracy of fault diagnosis, provides a reliable reference for the safe maintenance of industrial equipment, and is both practical and economical.

The application discloses a motor control method and device, a compressor and a storage medium, wherein the method comprises the following steps: obtaining dq-axis currents of a controlled motor based on a discrete-domain controlled motor model, and determining dq-axis flux linkage observation values of the controlled motor according to the dq-axis currents of the controlled motor; performing two-degree-of-freedom PI control and discrete-domain state prediction feedback control on the dq-axis flux linkage observation values respectively, so as to obtain dq-axis voltage reference values according to two-degree-of-freedom PI control signals and discrete-domain state prediction feedback control signals; obtaining dq-axis voltage vector command values according to the dq-axis voltage reference values, and performing driving control on the controlled motor according to the dq-axis voltage vector command values. Therefore, the dq-axis flux linkage observation values are obtained based on the discrete-domain controlled motor model, and a discrete-domain state feedback control framework is constructed by combining the two-degree-of-freedom characteristics of the two-degree-of-freedom PI control and the discrete-domain state prediction feedback, so that the high-bandwidth tracking capability and the operation stability of the compressor in the full-frequency domain operation are ensured.

The application relates to the technical field of semiconductor testing, and discloses a hardware-in-the-loop test system and method for a vehicle MCU three-level inverter, which comprises a measured MCU for outputting multiple PWM control signals; a simulation core module, a three-level inverter model for decoding a switching state and calculating a three-phase voltage in real time according to the multiple PWM control signals and a direct-current bus voltage, a PMSM motor model for calculating motor operation state parameters based on the three-phase voltage, an upper computer for realizing working condition configuration, data monitoring, fault injection and communication interaction, and a vehicle dynamic working condition simulation subsystem for generating a dynamic load torque and a target rotating speed instruction and simulating a vehicle load mutation scene, so that full-dimension verification of the vehicle three-level inverter is realized, and the problems of high voltage adaptation loss, system cooperative test blank, insufficient inverter model precision and dependence on a physical bench in the prior art are effectively solved.

The application discloses a method and system for realizing real-time position output of a motor in an electronic simulation platform, and comprises the steps of obtaining original state signals of a virtual motor model in a simulation time domain through a signal acquisition interface. The application constructs a signal processing structure for motor position calculation in a simulation environment, continuously processes motor operating states, generates angle information corresponding to motor rotor positions, and encapsulates the angle information as real-time position output signals which can be directly used for feedback of a control system. Further, the angle output is uniformly mapped and adapted to an interface, so that it can be directly sampled or called by a motor control algorithm, thereby realizing motor position closed-loop control simulation. The application effectively solves the problem of lack of position information of a motor model in an existing simulation platform, improves the integrity and stability of motor advanced control algorithm simulation, reduces system simulation complexity, and has good universality and engineering application value.

The application provides a method and system for operation analysis based on a double-fed motor model. The method comprises the following steps: obtaining first characteristic frequency value information of a reference double-fed motor and first acquisition time information corresponding to the first characteristic frequency value information; obtaining second characteristic frequency value information corresponding to a plurality of motor models to be evaluated; obtaining second acquisition time information corresponding to each second characteristic frequency value information; generating characteristic frequency mean value information based on the same second acquisition time information and the plurality of second characteristic frequency value information; and determining target correction time information based on the first characteristic frequency value information and the characteristic frequency mean value information. The application can accurately identify the key time node of the motor model that needs manual correction, realize the transition from fixed cycle operation and maintenance to state-driven on-demand intervention, effectively guarantee the accuracy of the simulation results, and significantly improve the long-term reliability of the model operation.