63 results about "Signal injection" patented technology

The application provides a kind of core particle interconnection structure defect detection method based on physical level decomposition, comprising: obtaining the layout data and connection relationship data of through silicon via and micro-bump level;Form respective independent feature set according to physical space coordinates decomposition;Identify the vertical signal interruption feature of through silicon via and the poor contact feature of micro-bump;Establish physical connection topology graph, and the features existing spatial adjacent or electrical coupling relationship are connected after the above-mentioned features are labeled to generate correlation graph;Iterate the chain path, and mark the first defect feature node as defect source point;According to the level to which the source point belongs, select test signal injection and collect downstream response;Compare response with standard reference point by point, extract difference feature to determine the chain reaction extension range;Output the detection result containing defect level, position and influence range.The application can distinguish different physical level failure features and track chain reaction, realize the accurate identification of defect root and range.

An object is to provide a noise filter that can achieve high reliability. A noise filter includes: a noise detection unit which detects a common mode noise flowing through an electric path; an amplification unit which, on the basis of the common mode noise detected by the noise detection unit, generates a cancellation signal for canceling out the common mode noise; an injection unit which injects the cancellation signal into the electric path; an abnormality detection unit which detects abnormality of the noise filter on the basis of output voltage or output current of the cancellation signal, and outputs an abnormality detection signal; and a protection circuit which inhibits an abnormal cancellation signal from being injected into the electric path, on the basis of the abnormality detection signal.

The application discloses a permanent magnet synchronous motor MTPA control method based on double virtual direct current signal injection, and particularly relates to a motor control method, in particular to a control method of a permanent magnet synchronous motor under a high-speed low-carrier ratio working condition. β A pair of virtual direct current signals with the same amplitude and opposite polarity are injected into a current vector angle, an electromagnetic torque containing the pair of signals is Taylor expanded, subtraction operation is performed on the two to obtain an approximate value of a first-order partial derivative of the torque to the current vector angle, the approximate value is input into an integral regulator, and when the input is controlled to be 0, an optimal current vector angle can be obtained β mtpa , and MTPA control is realized. In order to simultaneously improve dynamic performance and steady-state performance of the control, the method selects virtual direct current signals with different amplitudes to be injected under different working conditions, so that the motor can quickly approach an optimal current vector angle working state, and fluctuation of the current vector angle under a stable state is reduced.

System and method for sensorless control of an induction motor are disclosed. A flux observer estimates a rotor flux based on stator voltage and current measurement. A low frequency signal injection module generates a flux estimation error signal at low motor speed, while a baseline observer generates a model based flux estimation error signal at medium to high motor speed. A switching mechanism selects between these error signal based on motor condition. A proportional integral regulator and integrator process the selected error signal to estimate rotor speed. A lead compensator adjusts phase during transitions to ensure stability, with a switching signal generator activating the LFSI module when stator frequency falls below a predefined threshold. This control system provides rotor flux and speed estimation across a full range of motor speed by adaptively switching between observers based on operating conditions.

The application discloses an active detection type fault positioning method of an AC-DC hybrid power distribution network, and relates to the technical field of relay protection of a power system distribution network. The method multiplexes a modular multilevel converter station in the AC-DC hybrid power distribution network as a signal injection device. When a fault occurs on an AC side, all the modular multilevel converter stations are synchronously started to inject different frequency inter-harmonic signals to the AC power grid side, and the superposition of the multi-source signals is used to enhance the fault characteristics. When a fault occurs on a DC side, only the modular multilevel converter station corresponding to the fault feeder is started to inject, so that the interference on the non-fault feeder is avoided, and then the current response signals collected by the detection devices arranged on the AC-DC feeders are used for fault positioning. According to the different topological characteristics of the AC and DC sides, the method adopts a differentiated injection strategy, realizes the optimal configuration of the injection signals, and does not need to configure special signal injection equipment for the AC and DC sides, so that the system transformation cost is reduced.

The present application belongs to the technical field of power supply and distribution. A parallel three-level inverter modulation method, system, product, medium and equipment are proposed, which equivalent double parallel three-level inverters as a whole five-level inverter, inject zero sequence components to the initial three-phase reference signal to obtain the reference signal, identify the resultant vector through rounding and remainder operation, and then adjust the reference signal according to the sum of the three-phase state of the initial resultant vector to output a five-segment switching sequence, and then decompose the equivalent five-level reference signal into two sets of three-level reference signals, allocate the reference signals by dividing the half-carrier period and compare them with the triangular carrier to obtain a three-level vector sequence combination. The present application realizes the comprehensive optimization of common-mode voltage, zero-sequence circulating current and output current ripple, avoids complex sector judgment and duty cycle calculation, and reduces the implementation complexity and computational burden.

This application relates to the field of feature extraction technology, specifically to a method and system for high-frequency electrical signal feature extraction in EMB systems. The method includes: real-time acquisition of phase current data of a three-phase permanent magnet synchronous motor (PMSM) in an EMB system during a first time period, and the zero-sequence voltage signal of the PMSM after injecting a high-frequency current signal into the stator windings of the PMSM during a second time period; dividing the first time period into cycles, obtaining the waveform imbalance of each cycle to obtain characteristic quantities for inter-turn short-circuit fault diagnosis; obtaining the peak-valley difference coefficient of each cycle to obtain characteristic quantities for local demagnetization fault diagnosis; and obtaining the consistency factor and comprehensive diagnostic characteristic value for inter-turn short-circuit fault diagnosis and local demagnetization fault diagnosis, respectively. This application aims to ensure the effective extraction of fault-related feature information under various operating conditions by integrating phase current analysis methods with zero-sequence voltage response analysis methods based on high-frequency current signal injection.

The application discloses a power distribution network fault positioning method based on inter-harmonic injection, and relates to the technical field of power system distribution network relay protection. When an asymmetric grounding fault occurs in a power distribution network, signal injection devices arranged on each feeder inject inter-harmonic signals with different harmonic frequencies into the power distribution network at the same time, a multi-source detection signal network with spatial distribution and different frequencies is formed, a significant energy gathering effect is formed at a fault point, the excellent time-frequency analysis capability of S transform on non-stationary signals is utilized, S transform energy of three-phase first ends of each feeder under each inter-harmonic signal is directly extracted for fault positioning. The method enhances fault characteristics through multi-source and multi-frequency inter-harmonic injection, and in combination with the time-frequency resolution and characteristic extraction capability of S transform, the method can realize grounding fault detection in different penetration rate scenes in an active power distribution network, realize fast fault positioning, and improve the protection sensitivity and fault positioning efficiency of the active power distribution network.

This invention discloses a method, system, equipment, and medium for panoramic identification of short-circuit parameters in distribution networks based on multi-frequency disturbance excitation. It belongs to the field of power system condition monitoring and fault analysis technology. The method includes: designing and generating a composite disturbance signal; injecting the composite disturbance signal into the bus under test of the distribution network through a controllable current source, and acquiring time-domain waveform data of the injected current signal and the bus voltage; performing frequency domain transformation to separate and extract voltage and current phasors in the frequency domain; obtaining short-circuit impedance measurements at each frequency point using a first algorithm; and identifying equivalent circuit parameters using the short-circuit impedance measurements at several characteristic frequency points through a parameter fitting method. Compared to traditional single-frequency measurements that can only acquire single-point data, this method provides more comprehensive panoramic parameter information, accurately reflecting the impedance characteristics of the distribution network at different frequencies, and is suitable for modern distribution networks containing a large number of nonlinear loads and power electronic equipment.

This invention discloses an accurate detection system for noise and synchronization signals in A / D converters, specifically relating to the field of signal processing technology. It comprises four main modules: co-source timing allocation, multi-dimensional signal injection, dual-channel synchronous acquisition, and dynamic decoupling analysis. The co-source timing allocation module fans out a high-precision clock into multiple phase-correlated signals. The multi-dimensional signal injection module injects a composite excitation vector into the A / D converter under test. The dual-channel synchronous acquisition module, under clock constraints, synchronously captures the mixed noise data of the main channel and the jittered physical waveform of the reference channel clock. The dynamic decoupling analysis module uses a feedback calibration signal for time-domain registration, extracts intrinsic noise parameters through noise source stripping operations, and outputs timing compensation. This invention solves the problem of dynamic coupling and difficulty in separating synchronization jitter and intrinsic noise under high sampling rates, significantly improving the accuracy and robustness of A / D converter detection.

The application provides a motor control method and a vehicle, and relates to the technical field of motor control. The method comprises the following steps: determining an estimation strategy of a motor based on a voltage signal and a current signal of the motor, wherein the estimation strategy is that two modes of voltage signal injection estimation and adaptive sliding mode observation estimation are independently operated in parallel in different rotating speed intervals of a motor rotor; determining an estimation result of the motor rotor based on the estimation strategy, the voltage signal and the current signal, wherein the estimation result comprises an electrical angle position of the motor rotor; and controlling the motor to operate based on the estimation result. The technical problem of inaccurate position and speed observation of the motor rotor in the related art is solved.

This application relates to the field of motor control technology and discloses a method for observing permanent magnet synchronous motors based on voltage models and flux linkages. The method includes: acquiring the voltage and current signals of the permanent magnet synchronous motor, processing them respectively through a voltage model observer and a flux linkage observer to obtain a first rotor angle estimate and a second rotor angle estimate; determining a first weighting coefficient of the voltage model observer and a second weighting coefficient of the flux linkage observer based on the current speed of the motor, with the sum of the weighting coefficients being 1. The weight of the voltage model observer is 1 at low speeds and the weight of the flux linkage observer is 1 at high speeds, with the weights smoothly changing with the speed in the transition speed range; and weighted fusing the two angle estimates based on the weighting coefficients to obtain the final rotor angle estimate. This application achieves high-precision, high-robustness sensorless control of the permanent magnet synchronous motor across the entire speed range, without requiring additional high-frequency signal injection, ensuring performance throughout the entire process from startup to high-speed operation.

The application discloses a refrigeration compressor optimization method, system, equipment and medium based on a modular disc motor, relates to the refrigeration compressor optimization technical field based on the modular disc motor, and comprises the following steps: a compression process of gas is completed based on reciprocating motion of a piston in a cylinder, and a mathematical model of the refrigeration compressor is established; sensorless control technology is adopted, low-speed high-frequency signal injection and a medium-speed and high-speed sliding mode observer method are used to realize accurate control in a full speed range; and a torque collaborative optimization control strategy based on an MOPSO algorithm is used to realize optimal torque distribution under different rotating speeds and torques. According to the method, the torque collaborative optimization control strategy based on the multi-objective particle swarm optimization algorithm can realize real-time optimal torque distribution of two groups of motor modules under different rotating speeds and torques of the motor.

The application discloses a kind of hybrid signal injection type capacitance current compensation method, system, equipment and medium based on parameter self-correction, is specifically related to electrical automation and digital technology field.The method comprises: by main station to distribution network inject wideband signal, response signal and zero sequence signal are collected by column device;Based on U1, I1 data, using improved recursive least square method on-line real-time identification line equivalent capacitance and resistance to ground, realize parameter self-correction;According to zero sequence voltage amplitude automatic switching signal injection method and displacement voltage method calculate capacitance current, and utilize Kalman filtering to carry out data fusion calibration;Finally based on identification parameter, through parameter-compensation amount mapping model dynamic determination arc suppression coil adjustment step size, carry out fast closed loop compensation.The application realizes on-line real-time identification and self-correction of distribution network capacitance parameter to ground, reaches fast, accurate compensation capacitance current under all-weather operation condition, ensures that system residual flow meets requirements.

The application discloses a motor early inter-turn short circuit fault detection system based on six-vector injection, which comprises the following steps: S1, generating a pulse excitation signal of a first voltage vector through an inverter, collecting common-mode switching oscillation current i of the motor after the signal is injected cm ; S2, extracting current effective value I corresponding to a characteristic frequency band in each single switching oscillation waveform MF ; S3, obtaining current effective average value corresponding to the first voltage vector; S4, generating pulse excitation signals of the second to sixth voltage vectors in sequence according to the above steps S1-S4, and the voltage pulse excitation signals of the six different voltage vectors constitute a complete electrical angle rotation period; and S5, performing average calculation to obtain a multi-vector average insulation state index; the application has high detection sensitivity, effectively overcomes the interference of rotor mechanical rotation on static fault detection in a detection working condition, and has stable anti-interference performance.

An energy transmission and communications system can include a power supply, a conductor to electrically couple to the power supply, and a vehicle to electrically couple to the conductor, where the vehicle is configured to travel along the conductor and receive the electrical energy from the power supply. The system can also include a signal injector to introduce a communications signal to the conductor for receipt by the vehicle, a termination for lessening reflection of the communications signal at one or both ends of the conductor, and a remote hub for remotely communicating with the vehicle, where the remote hub has a communications interface for supplying the communications signal to the signal injector. The system can further include a signal cable for connecting the communications interface to the termination and traversing the distance from the remote hub to the termination to isolate the power supply from the communications interface.

This invention proposes a method and system for injecting and controlling chatter disturbance signals into an electromagnetic valve, specifically relating to the field of hydraulic control technology. First, the injection frequency of the user's chatter disturbance signal and the controller's cutoff frequency are obtained. Then, an injection module is selected based on these two frequencies. If the injection frequency is lower than the controller's cutoff frequency, a low-frequency injection module is selected; otherwise, a high-frequency injection module is selected. The low-frequency injection module generates a PWM duty cycle signal to drive the first electromagnetic valve, or the high-frequency injection module generates a PWM duty cycle signal to drive the second electromagnetic valve. This invention can inject chatter disturbance signals of specific frequencies according to user requirements, satisfying the user's desired chatter injection strategy and ensuring a wide frequency injection range for the system. This overcomes the influence of hydraulic viscosity on the system's rapid adjustment, assisting field engineers in achieving efficient automated project debugging.

This application relates to a motorcycle control method, a motorcycle controller, and an off-road electric motorcycle. The method includes: acquiring the slope and thermal state parameters of the motorcycle's current position; determining a preset strategy for estimating the motor rotor position based on the motorcycle's motor speed; the preset strategy includes a high-frequency signal injection method and / or a sliding mode observation method; adjusting the preset strategy based on the slope and / or thermal state parameters, and obtaining the target position of the motor rotor based on the adjusted preset strategy; wherein, when the preset strategy includes the high-frequency signal injection method, the injection parameters of the voltage signal in the high-frequency signal injection method are adjusted based on the slope and / or thermal state parameters; when the preset strategy includes the sliding mode observation method, the model parameters of the sliding mode observation model in the sliding mode observation method are adjusted based on the thermal state parameters; acquiring the motorcycle's driving torque, and driving the motor to run based on the driving torque and the target position. This method enables the stability of the electric motorcycle during operation based on sensorless control.

This invention discloses a remote monitoring system for diesel generator sets, belonging to the field of fault monitoring technology. It solves the problem of difficulty in effectively diagnosing winding overheating and insulation degradation caused by harmonics in backup diesel generator sets in data centers. This leads to a vicious cycle of harmonic heating and accelerated insulation aging, potentially resulting in sudden breakdown and burnout of the generator windings without any clear warning. The system includes a dielectric constant sensor network, a flexible capacitive sensor array, an insulation state sensing module, a harmonic stress field reconstruction module, an adaptive signal injection module, a central processing module, and a closed-loop execution module. Through multi-dimensional direct sensing and dynamic model calculation, this invention transforms the implicit vicious cycle of winding overheating and insulation aging caused by harmonics into an explicit management process that can be continuously observed, quantitatively assessed, and proactively intervened in, thereby providing clear early warnings and mitigation measures before insulation breakdown occurs.

This application relates to the field of power amplifier technology, and discloses a Doherty power amplifier, a power amplifier control method, and a packaged device. The power amplifier includes a signal injection circuit, a carrier power amplifier branch, a peak power amplifier branch, and a power detection circuit. The carrier power amplifier branch includes a carrier power amplifier, and the peak power amplifier branch includes a peak power amplifier. The output terminal of the signal injection circuit is connected to the input terminals of both the carrier power amplifier branch and the peak power amplifier branch. The power detection circuit is disposed between the input terminals of the carrier power amplifier and the peak power amplifier. When the carrier power amplifier is in a first operating state, the power detection circuit outputs a first base voltage to the peak power amplifier to turn it off; and when the carrier power amplifier is in a second operating state, it outputs a second base voltage to the peak power amplifier to turn it on. The technical solution provided by this application can improve the output efficiency and linearity of the power amplifier within the power back-off range.

This invention relates to a topology-self-sensing intelligent measurement switch based on digital twins and edge decision-making, comprising a control unit, an actuator, and a communication module. The control unit integrates a high-frequency synchronous phasor measurement module, a feature signal injection and detection module, and an edge computing core module. The edge computing core module integrates a topology self-identification unit, a digital twin unit, and an edge decision-making unit. The topology self-identification unit is connected to the feature signal injection and detection module, constructing and dynamically updating the distribution network topology locally. The digital twin unit is connected to the high-frequency synchronous phasor measurement module, calculating and predicting the operating status parameters of the contacts in real time. The edge decision-making unit is connected to the topology self-identification unit, the digital twin unit, and the actuator. Through feature signal interaction and multi-point data fusion algorithms, node connection relationship identification, electrical distance estimation, and topology map updating are completed locally on the switch, without relying on a cloud master station.

Disclosed is a method for controlling an elevator drive (1.3) in an evacuation ride, the elevator drive (1.3) being configured to move a car (1.1), the elevator drive (1.3) including an electric motor (2) with a rotor (2.1) and a stator with number of phases (2.2), the method including: a) determining, using a signal injection method, an initial rotor position of the rotor (2.1); b) energizing the phases (2.2) with a motor current vector, the motor current vector being aligned with an initial quadrature (q) axis as defined by the initial rotor position, the motor current vector having a setpoint motor current value; wherein the rotor (2.1) is at stillstand for steps (a) to (b); c) continuously c1) rotating the motor current vector, thereby generating a rotating magnetic stator field, wherein the motor current vector is rotated in a motor current vector rotation direction and with a motor current vector rotational speed, wherein the motor current vector rotation direction corresponds to a rotor rotation direction for moving the car (1.1) in an evacuation ride direction and the motor current vector rotational speed is determined in accordance with a desired speed of the car (1.1) for the evacuation ride, wherein a direction of the motor current vector is imprinted to the phases (2.2) without sensor feedback; c2) determining, based at least in part on at least one electric feedback signal of the phases, an adjustment current value and modifying the setpoint motor current value by the adjustment current value, thereby counteracting rotor oscillations.

A method for starting an EC motor having a stator and a rotor, comprising the steps of determining a first position of the rotor when the rotor is stationary by means of discrete signal injection, accelerating the rotor by means of a controlled rotating field, determining a speed of the rotor on the basis of a back EMF after reaching a predetermined rotating field frequency, comparing the speed determined, with a first predetermined speed value, and, if the speed determined is greater than the first predetermined speed value, determining a second position of the rotor on the basis of the back EMF and changing to a closed-loop operation on the basis of the back EMF.

This invention discloses a method and apparatus for synchronizing double-ended fault location in a flexible DC transmission system, relating to the field of fault location technology. The method includes: acquiring electrical quantity signals at both ends of the line to determine the fault time when the initial traveling wave arrives at both ends; using this time as a reference, extracting waveform data, extracting the first-mode reverse current signal at both ends, and performing time-series shifting on one end of the signal to generate several signal sequences including different time synchronization errors; performing multi-scale wavelet decomposition on the signal sequences and the first-mode reverse current signal at the other end to generate a frequency domain injection signal; injecting the frequency domain injection signal into a frequency domain equivalent network constructed based on a distributed parameter model and the equivalent impedance of the converter to obtain the fault point voltage spectrum at a preset fault location; constructing a two-dimensional energy distribution with time synchronization error and fault location as coordinates based on the fault point voltage spectrum, and using the fault location corresponding to the global extreme point as the actual fault point.

The application discloses a power distribution network adaptive arc extinction method and system and a storage medium, and belongs to the field of power system protection, and comprises the following steps: obtaining the amplitude of a fault phase voltage after a single-phase grounding fault occurs; designing a monotonically changing membership function g(x) based on the amplitude of the fault phase voltage, wherein a characteristic quantity x of the membership function g(x) is a ratio of the amplitude of the fault phase voltage to a rated voltage amplitude during normal operation of the power distribution network; weighting reference signals U 0Iref and U 0Vref by taking the membership function g(x) and 1-g(x) as weights respectively, to obtain a total reference signal U 0ref ; wherein U 0Iref is an injected zero sequence current reference signal obtained by current arc extinction, and U 0Vref is an injected zero sequence voltage reference signal obtained by voltage arc extinction; and injecting the total reference signal U 0ref into a zero sequence control interface of a power distribution network converter to perform adaptive arc extinction. The application can improve the accuracy of arc extinction under various short-circuit working conditions of transition resistances.

This invention discloses an intelligent detection method and system for wheel speed sensors, belonging to the field of automotive electronics testing technology. The system includes a wheel speed sensor test bench. A servo motor is mounted on one end of the test bench, connected to a bearing via a coupling. The bearing is connected to a signal disk. A wheel speed sensor is mounted on the other end of the test bench, corresponding to the signal disk. A host computer software system drives the servo motor via a motor driver. The wheel speed sensor is connected to a signal acquisition module, a programmable power supply, a signal injector, and a relay. The signal acquisition module, programmable power supply, signal injector, and relay are connected to the host computer software system. This invention can automatically simulate complex road conditions, objectively evaluate signal integrity through multi-dimensional quantitative indicators, and achieve full-process automatic association and traceability of test data and product identity, significantly improving the objectivity, accuracy, and traceability of the detection.

The application discloses a kind of permanent magnet synchronous motor position sensorless control method based on dynamic position error.Propose transition phase, contrast between the first position error signal obtained based on high-frequency signal injection method and the second position error signal obtained based on sliding film observer, standardize the position error of estimation between the two, dynamically determine the best switching speed point, and use nonlinear weighting function to smooth fusion two kinds of position error, finally get the estimated position and speed through phase-locked loop;Finally, according to the estimated speed, different error signals are used for position tracking.The application overcomes the problem of estimated value pulsation and jump caused by the dependence of traditional method on fixed experience switching point, realizes the smooth and adaptive switching of two estimation methods in full-speed range, significantly improves the control accuracy and operation stability of the system, and has simple structure and is easy to implement in engineering.