36 results about "Space vector" patented technology

A method is provided for reducing common mode voltages in a system that includes an inverter connected to a motor by a long cable by controlling switches of the inverter to generate voltage vectors that emulate a three-phase sinusoidal waveform by switching between adjacent active vectors and active vectors that are separated by 180 degrees, determining whether a phase angle of the vectors is increasing or decreasing, determining a decision angle within the sector which is a function of a duty cycle offset and a modulation index; and applying duty cycle manipulation rules, including: responding to an increasing phase angle that is less than the decision angle by setting a duty cycle of the adjacent active vectors to a duty cycle high value; and responding to an increasing phase angle that is greater than 60 degrees minus the decision angle by setting the duty cycle to a low value.

The application discloses a permanent magnet synchronous motor model prediction torque control method based on a hybrid mode optimization. The method first constructs a reference voltage vector through a torque error target function and a discretization prediction model of the permanent magnet synchronous motor, and then designs a hybrid mode optimization algorithm. The algorithm first designs a double-vector mode optimization on the sector boundary of a voltage space vector diagram, and then designs a three-vector optimization mode based on a discrete space vector modulation inside the sector. The optimal synthesized voltage vector obtained by the hybrid mode optimization algorithm is transmitted to a voltage error target function to realize the switching of the two modes, so that the control execution mode and the optimal synthesized voltage vector are determined. The control method disclosed by the application has high freedom to adjust the amplitude and position of the synthesized voltage vector, and thus has high steady-state performance of the control system and fast torque dynamic response in the full speed range.

This invention relates to the field of motor drive and control, and provides a deadbeat predictive current control method and system for a DC biased vernier reluctance motor. The method includes: acquiring the operating data of the target motor and preprocessing the acquired operating data; inputting the preprocessed operating data into an extended state observer with coupling compensation, and outputting extended state prediction parameters; inputting the extended state prediction parameters into a deadbeat predictive current control model to obtain the regulating voltage of the dq0 axis; performing coordinate transformation on the regulating voltage of the dq0 axis and performing space vector pulse width modulation to obtain a dual-inverter SVPWM modulated switching sequence; and applying the switching sequence to the phase windings of the target motor. This invention considers voltage coupling-induced disturbances during the prediction of current and disturbances; this allows for compensation of voltage coupling interference, thereby mitigating the impact of interference caused by parameter changes and coupling voltage, and enhancing dynamic response capability.

This invention discloses a sensorless control method and system for a permanent magnet synchronous motor based on switchable parameter identification. The method involves selecting one of three parameters as the object to be identified based on the motor's operating conditions, while fixing the other two parameters as known values. A linear regression model containing only the parameter to be identified and the rotor position error is constructed using the estimated voltage and current equations in the rotating coordinate system, and this model is updated online using the gradient descent method. Simultaneously, the sine value of the rotor position error is obtained during parameter identification and fed into a phase-locked loop (PLL) to calculate and estimate the rotor position and speed, achieving closed-loop control. The system comprises a permanent magnet synchronous motor, a three-phase inverter, a current sampling and coordinate transformation module, a speed loop controller, a current loop controller, inverse Park transform, inverse Clark transform, space vector pulse width modulation, a switchable parameter identification module, and a PLL, fundamentally solving the underrank and coupling problems of simultaneous multi-parameter identification.

The application discloses a shaft driving equipment posture feedforward compensation method based on stratum-mechanical and electrical multi-source features, the method constructs a space-time coupling matrix by fusing non-uniform stratum spatial distribution and high-frequency mechanical and electrical time sequence response, uses a physical information neural network with embedded dynamics mechanism to decouple and extract deep hidden features of posture evolution, then inversely calculates a globally optimal feedforward compensation vector based on a model predictive control framework, and finally dynamically corrects a microsecond-level space vector with the aid of a deterministic network and a bottom-layer multi-actuator, so that active feedforward and accurate management and control of a complex deep well driving trajectory are realized before macroscopic posture instability of the equipment. The application breaks through the hysteresis bottleneck of traditional driving equipment relying on single mechanical parameter passive correction, realizes a leap from hysteresis feedback to advanced prediction and active feedforward through space-time coupling of stratum-mechanical and electrical multi-source features and deep feature decoupling under physical mechanism constraints.

This invention belongs to the field of smart grid technology and discloses a multi-converter collaborative control method and system for managing three-phase voltage imbalance in low-voltage distribution substations. The method includes: solving for the rated power and rated capacity of energy storage based on an energy storage capacity optimization configuration model; constructing a real-time optimization model with the objective of minimizing global voltage imbalance to solve for the fine-grained active power regulation values ​​of each VSC (Voltage State Control Unit); dynamically adjusting the droop coefficient according to the real-time state of charge of the energy storage, and calculating the total active power reference value in combination with an adaptive DC voltage droop control strategy; obtaining the three-phase active power reference value of each VSC through an active power reference value generation mechanism model; inputting the three-phase active power reference value into the VSG sub-model of each phase, and generating PWM signals through voltage-current dual closed-loop control and space vector pulse width modulation. This invention achieves a deep integration of economical energy storage configuration and real-time collaborative control, significantly improving the accuracy and economy of managing three-phase voltage imbalance in low-voltage distribution substations.

The invention relates to a method for operating switching elements (24) of an Inverter (20) which is electrically coupled to a multiphase alternating voltage (16), wherein the inverter has at least one series circuit (22) which consists of the switching elements (24) for each of the phases of the multiphase alternating voltage in order to electrically couple the multiphase alternating voltage to a direct voltage intermediate circuit (28) which is connected to the inverter by applying switching signals (40) to the switching elements of the series circuits, wherein the switching signals are determined on the basis of a clock signal using pulse width modulation, wherein, depending on phase currents and an intermediate circuit direct voltage based on a field-oriented controller (36), a space vector is determined and the switching signals are determined depending on the space vector and using phase target voltages. According to the invention, a damping space vector is superimposed on the space vector to determine the switching signals and is determined depending on the phase currents such that phase positions of the phase target voltages are shifted by a predetermined phase value with respect to at least one predetermined frequency which is greater than the fundamental vibration.

The application discloses a nine-switch converter flexible interconnection system and a switching loss control method and device thereof. αβ The method comprises the following steps: firstly, 27 voltage space vectors are obtained by constructing a nine-switch converter mathematical model; secondly, a system Coordinate system mathematical model is established, a prediction model is obtained through forward Euler method discretization processing, and a weight coefficient value function is designed to accurately track the current; then, voltage vectors are selected and inserted into zero vectors, and a fixed switching frequency switching sequence is designed; finally, the action time of the voltage vector is determined through duty cycle modulation, and the optimal voltage vector is periodically and alternately selected. The application effectively solves the problems of the existing system, such as unfixed switching frequency, uneven loss, large current harmonic and heavy calculation burden, balances the power device loss, prolongs the service life of the device and improves the system stability. The application can realize the bidirectional power flexible interconnection between two three-phase power grids and guarantee the system operation stability and power quality.

The application discloses a dual three-phase motor drive control method, a controller and a system for suppressing capacitor ripple, and belongs to the field of dual three-phase motor control. The method comprises the following steps: determining the space vector required to be output by each inverter; calculating the modulation ratio of each inverter and the two non-zero vectors participating in modulation in each inverter and the corresponding action time, as well as the total zero vector action time according to the space vector, and calculating the proportion k1 and k2 of the action time of the zero vector V7 in the first inverter and the second inverter to the total zero vector action time; adjusting the action time of the zero vectors V7 and V0 in the two inverters according to k1 and k2, determining the phase output duty cycle according to the action time of the two non-zero vectors participating in modulation in each inverter, and determining the switching signal of each phase bridge arm in each inverter according to the phase duty cycle. The application can effectively reduce the capacitor ripple current and capacitor heat loss of the inverter in the dual three-phase inverter.

This invention relates to an adaptive diagnostic method for inter-turn short-circuit faults in a dual-phase three-phase permanent magnet synchronous motor, belonging to the field of motor fault diagnosis technology. By establishing a mathematical model and an adjustable model for inter-turn short-circuit faults in the dual-phase three-phase motor, and combining multi-phase motor space vector decoupling transformation, a short-circuit fault component is introduced into the harmonic subplane of the stator voltage equation. Fault characteristic values ​​are designed using the x-y current residual between the actual motor and the adjustable model. The fundamental amplitude is extracted as a fault severity feature through orthogonal Fourier transform. An observer based on the mapping relationship between the short-circuit current residual and the fault turns ratio is constructed. A model reference adaptive law for the piecewise PI regulator is used to dynamically adjust the PI parameters according to speed and load conditions, achieving adaptive feedback estimation of the short-circuit turns ratio. This improves the accuracy and real-time performance of fault feature extraction, simplifies the fault-tolerant algorithm and optimizes the disturbance observer parameter design, solves the diagnostic distortion problem caused by changes in operating conditions, and provides an optimized solution for motor monitoring.

The present application relates to the technical field of light storage hybrid power generation control, and particularly to a multi-port light storage hybrid power generation modulation method and system based on current ripple suppression. The method comprises obtaining grid-side voltage and current data; determining a space vector sector according to a reference voltage vector of the grid-side voltage and current data; constructing a clamping sequence based on a reference sector of the space vector sector; establishing a current ripple model according to the clamping sequence and selecting a minimum ripple clamping sequence; deriving a double modulation wave of the minimum ripple clamping sequence based on a volt-second balance; and performing carrier comparison and driving output based on the double modulation wave. The present application systematically gives all clamping switch sequences and determines the influence type of the clamping switch sequences on system power, so that dynamic power regulation among photovoltaic units, energy storage units and loads of a multi-port light storage hybrid power generation system can be realized on the basis of reducing switch loss and improving system efficiency.

The invention relates to the technical field of electronic data processing, in particular to a multi-task real-time operating system scheduling optimization method for a PPEC controller. The method comprises the following steps: constructing a physical time snapshot of interrupt response by using a hardware timer and a direct memory access unit, and collecting entry and exit moments when a rigid control task is interrupted by a non-control task; calculating time debt based on the interruption physical duration, constructing a space-time mapping model in combination with the power grid reference angular frequency, and converting the time debt into a phase lag angle of a voltage space vector; and comparing the time debt with an atomic operation time threshold value, dynamically switching to a compression mode or a fusing mode according to the time debt and the atomic operation time threshold value, and executing task scheduling according to the selected mode. According to the method, the time drift is mapped into the vector phase error of the physical layer, so that the problems of waveform distortion and control divergence caused by sudden interruption are solved, and the physical synchronization of control is ensured.

This invention discloses a flexible interconnection system with a nine-switch converter and its switching loss control method and device. The method first constructs a mathematical model of the nine-switch converter to obtain 27 voltage space vectors; secondly, it establishes the system... αβ A coordinate coefficient mathematical model is discretized using the forward Euler method to obtain a prediction model, and an unweighted coefficient value function is designed to accurately track the current. Then, a voltage vector is selected and a zero vector is inserted, and a fixed switching frequency switching sequence is designed. Finally, the voltage vector's action time is determined by duty cycle modulation, and the optimal voltage vector is periodically selected alternately. This invention effectively solves the problems of inconsistent switching frequencies, uneven losses, large current harmonics, and heavy computational burden in existing systems. By balancing power device losses, it extends device lifespan and improves system stability. It enables bidirectional flexible power interconnection between two three-phase power grids and ensures system operational stability and power quality.

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 kind of power grid phase sequence detection method, device, comprising the following steps: S1, the three-phase voltage signal of synchronous sampling power grid, and the three-phase voltage signal is converted into the alpha axis component and beta axis component under two-phase stationary coordinate system by Clarke transformation;S2, according to alpha axis component and beta axis component, the instantaneous phase angle of voltage space vector is calculated, and the instantaneous phase angle is handled with angle offset, and offset phase angle is obtained;S3, based on offset phase angle, instantaneous angular velocity is calculated;S4, set an effective angle interval away from the boundary of angle value domain;It is judged whether the offset phase angle corresponding to the current sampling point is located in the effective angle interval: if yes, then determine that the current sampling point is effective point, and execute step S5;If not, then discard the instantaneous angular velocity corresponding to the current sampling point, and return to step S1 and process next sampling point;S5, the sign of instantaneous angular velocity corresponding to continuous effective point is trend statistics.It realizes reliable and fast power grid phase sequence detection.

This invention belongs to the field of power electronics technology and discloses a method and system for frequency doubling and circulating current suppression modulation of a parallel hybrid ANPC three-level inverter. Through space vector screening, sector reconstruction, and reasonable configuration of redundant vectors, this invention can simultaneously achieve circulating current suppression, output line voltage frequency doubling, midpoint potential control, and switching frequency decoupling of the parallel inverter without additional hardware. It overcomes the problems of existing modulation methods that require discarding a large number of effective vectors and are difficult to take into account multiple control objectives. This enables the parallel hybrid ANPC three-level inverter to achieve higher voltage utilization, better output power quality, and higher system operating efficiency in high-power application scenarios.

This invention proposes a phase loss detection method and device, frequency converter, motor, and electrical equipment. The phase loss detection method includes: acquiring the three-phase currents and multiple sets of switching signals for the three phase bridge arms of a three-phase circuit, wherein each set of switching signals includes three switching signals, and the three switching signals correspond one-to-one with the three phase bridge arms; determining the space voltage vector corresponding to each set of switching signals; determining the corresponding sector position of each space voltage vector in a space vector coordinate system; and performing phase loss detection on the three-phase circuit based on the three-phase currents and the determined multiple sector positions. In this way, by combining the current phase current of the phase circuit with the sector position of the space voltage vector corresponding to the conduction status of the phase bridge arms in the space vector coordinate system, the system diagnoses whether the three-phase circuit is experiencing a phase loss and its location. Fault diagnosis is performed using the relationship between phases and phase currents, eliminating the need to consider high-frequency peak current interference and ensuring the accuracy of the phase loss detection results.

The application relates to the technical field of power distribution network management, and discloses a power distribution network flexible management method, system, program and storage medium. The method comprises the following steps: inputting a target power distribution network real-time feature vector into an updated lightweight neural network model to perform nonlinear mapping calculation, and outputting a virtual synchronous machine reference reference voltage at a current time; determining a virtual angular displacement at the current time based on a virtual angular velocity and displacement, an active deviation and an action parameter space vector of the virtual synchronous machine at the current time; determining a sinusoidal reference voltage according to the space vector, the initial bias angle of each phase, the reference reference voltage, the virtual angular displacement and the real-time voltage effective value of the low-voltage trapped phase; determining a modulation ratio control instruction according to the action, the sinusoidal reference voltage and the actual output electrical parameter of the inverter; and driving the inverter to convert the DC bus voltage into an AC compensation voltage and inject the AC compensation voltage into the low-voltage trapped phase. The application can enhance the adaptive adjustment capability of the power distribution network under complex scenario power fluctuations.

This invention discloses an air conditioner and its control method. The air conditioner includes a refrigerant circulation loop, a refrigeration system, an inverter, and a controller. The controller is configured to: determine a preset reference voltage vector boundary corresponding to each sector of a reference voltage vector circle; determine a simplified reference voltage vector based on the positional relationship between the actual output reference voltage vector in each sector and the preset reference voltage vector boundary; compensate for the amplitude of the simplified reference voltage vector to obtain an overmodulated voltage vector. This allows for the elimination of the need to distinguish overmodulation regions during overmodulation, and enables uniform overmodulation processing when the actual output reference voltage vector exceeds the space vector hexagon. The method is simple, can quickly obtain the overmodulated voltage vector while ensuring the accuracy of the actual output reference voltage vector, and achieves a good balance between simplicity and accuracy.

The application discloses an intelligent exhibition hall interaction control method and system based on multi-modal data, and relates to the technical fields of human-computer interaction and signal processing. The method comprises the following steps: acquiring multi-source original data in an interaction space, extracting a body pointing space vector, an end motion speed sequence and a micro-motion high-frequency tremor sequence, and performing space-time synchronous alignment; performing power spectrum density analysis on 6Hz-12Hz signal components to generate a first compensation factor representing physiological load and latching; performing second-order difference operation on the end motion speed sequence to match an exponential decay model, and generating a first convergence probability; dynamically adjusting an intention judgment adjustment factor by using the first compensation factor, and realizing nonlinear coupling of the first convergence probability and the space vector to generate an intention index value; and triggering a control signal if the intention index value meets the standard. The application converts physiological tremor into a system gain variable, cooperates with a dynamic convergence constraint to repair a feature mismatch problem, and improves the certainty and stability of determination under complex working conditions.

The present application relates to the technical field of metal pipe production, and discloses an intelligent energy consumption management optimization system for welded pipe production process, which aims to solve the problem that product quality and energy consumption are difficult to be optimized simultaneously in the production process.The system comprises: an acquisition unit for synchronously acquiring multi-modal associated signals; a state representation unit for mapping high-dimensional signals into low-dimensional hidden space vectors representing process states by using a variational autoencoder; a target calibration unit for correlating quality and energy consumption data to dynamically calibrate an optimal state region; and a control unit for generating control instructions according to the current state and the optimal target by using a model predictive control strategy.The present application can significantly reduce the energy consumption per unit product while ensuring product quality and improving the stability and economy of the production process by constructing a data-driven closed-loop adaptive control loop.

The application discloses a midpoint voltage DC offset suppression method for a Vienna rectifier and belongs to the technical field of Vienna rectifier control. The application is aimed at the problem that the bipolar DC bus of the Vienna rectifier has midpoint voltage DC offset under the light load condition of unbalanced load. The application comprises the following steps: calculating the maximum q-axis current of odd and even sectors according to the corresponding relationship of grid current vectors and reference voltage vectors in a voltage space vector diagram; simultaneously calculating the q-axis current amplitude; then calculating the q-axis current instruction value and the d-axis current instruction value; further calculating the d-axis reference voltage u d and the q-axis reference voltage; finally, performing dq-axis system to alpha-beta-axis system conversion on the d-axis reference voltage u d and the q-axis reference voltage u q , and combining space vector modulation to obtain the driving signal of the Vienna rectifier, so that the midpoint voltage DC offset suppression is realized. The application is used for suppressing the midpoint voltage DC offset of the Vienna rectifier.

The application provides a high-speed servo driving FOC-MPC fusion control method and system based on a GaN device, and relates to the technical field of industrial robot control. The method comprises the following steps: selecting a final voltage space vector from basic voltage space vectors of a GaN device three-phase full-bridge inverter according to a reference voltage vector in a stationary coordinate system; determining a final switching state combination of each GaN switch tube in the GaN device three-phase full-bridge inverter in a current switching period according to the final voltage space vector; driving each GaN switch tube in the GaN device three-phase full-bridge inverter to alternately conduct and turn off in a preset switching frequency range through a gate drive circuit according to the final switching state combination; and outputting a driving voltage to a stator winding of a permanent magnet synchronous motor through a bridge arm midpoint according to a switching state switching time sequence of each GaN switch tube under the final switching state combination. The application eliminates the delay of the modulation link and realizes the application of the voltage instruction without delay.

The application discloses a permanent magnet propulsion motor fault data expansion method based on double adversarial auto-encoding, and raw material components are as follows: step one: select data groups from a data set to form a sample set, input to an encoder, output a latent space vector, realize mapping of original data in a latent variable space; input the latent space vector and random noise variables conforming to a distribution into a latent space discriminator respectively, realize probability output through a sigmoid activation function, and train a first adversarial network; the permanent magnet propulsion motor fault data expansion method based on double adversarial auto-encoding, according to respective structural advantages of a generative adversarial network and auto-encoding, establishes a learning model, inputs a combination variable formed by a category label and randomly sampled data conforming to a distribution into a decoder to generate new samples through continuous learning and training, meanwhile, the application expands existing few samples to obtain fault data which meets a specific distribution and diversity.

The application relates to the technical field of power distribution network management, and discloses a power distribution network flexible management method, system, program and storage medium. The method comprises the following steps: inputting a target power distribution network real-time feature vector into an updated lightweight neural network model to perform nonlinear mapping calculation, and outputting a virtual synchronous machine reference reference voltage at a current time; determining a virtual angular displacement at the current time based on a virtual angular velocity and displacement, an active deviation and an action parameter space vector of the virtual synchronous machine at the current time; determining a sinusoidal reference voltage according to the space vector, the initial bias angle of each phase, the reference reference voltage, the virtual angular displacement and the real-time voltage effective value of the low-voltage trapped phase; determining a modulation ratio control instruction according to the action, the sinusoidal reference voltage and the actual output electrical parameter of the inverter; and driving the inverter to convert the DC bus voltage into an AC compensation voltage and inject the AC compensation voltage into the low-voltage trapped phase. The application can enhance the adaptive adjustment capability of the power distribution network under complex scenario power fluctuations.

The application provides a hybrid multi-level inverter predictive control method, a discrete model predicted by a single vector model is used to establish a value function without a weight factor, and a voltage predicted when the value function minimum is used to replace a reference voltage to perform space vector modulation. A fault-tolerant control method is to establish a seven-level voltage space vector diagram, remove the coordinates lost in the space vector diagram due to bypassing the H-bridge unit due to failure, and continue to perform space vector modulation by using the remaining coordinates. The application uses single vector model prediction to reduce the calculation amount of the value function while ensuring accuracy, uses a common-mode reduction method to reduce the system common-mode voltage, so that the method can be applied in the photovoltaic industry to prevent damage to other devices caused by large common-mode voltage.