1100 results about "Signal conditioning" patented technology

The invention discloses a multi-dimensional information integrated transformer health state monitoring method, which relates to the technical field of power systems, and comprises the following steps: deploying a multi-source sensor, collecting various signals of a transformer, and carrying out signal conditioning and analog-to-digital conversion on analog signals collected by the sensor; performing timestamp alignment on the received multi-source heterogeneous data, and eliminating data noise by adopting a filtering algorithm; key features which are sensitive to the health state of the transformer and complement each other are selected from the extracted feature values to form a health state evaluation index set; setting a sliding time window, obtaining historical data in the window, performing normalization processing on the data, calculating the information entropy and the variation coefficient of each index, and fusing the information entropy and the variation coefficient to obtain the dynamic weight of each index; obtaining a health state index of the transformer according to the normalized value and the dynamic weight; and displaying the health state index and the change trend thereof in real time, and setting an early warning threshold value and an alarm threshold value of the health state index.

The invention relates to a water quality real-time detection system which comprises the following modules: a multi-source sensing module which is based on a multi-parameter sensing array, adopts a self-adaptive sampling strategy, realizes sensor time sequence synchronization through a state estimation algorithm, completes water body multi-dimensional parameter acquisition in combination with a micro-fluidic chip, generates a multi-modal sensing data set, and transmits the multi-modal sensing data set to a data processing module; the multi-source sensing module comprises a multi-source sensing sub-module, a signal conditioning sub-module, a time sequence synchronization sub-module and an anomaly capture sub-module. The method has the advantages that through the synergistic effect of the adaptive sampling strategy and the state estimation algorithm, the multi-sensor time sequence synchronization precision is remarkably improved, the phase deviation problem caused by traditional fixed frequency sampling is effectively eliminated, the sliding window polynomial fitting is combined with the wavelet threshold de-noising technology, and the multi-sensor time sequence synchronization precision is improved. High-frequency noise interference is greatly suppressed on the premise that effective components of the signals are reserved, and meanwhile, the abnormal value detection accuracy is improved through a dynamic threshold mechanism.

The invention discloses a high-precision current detection circuit calibration system, and belongs to the technical field of current detection circuit calibration. Comprising a shunt resistor, a Hall sensor array, a chopping amplifier, a low-noise operational amplifier, a temperature sensor, an ADC acquisition unit, an RC low-pass filter, a signal conditioning unit, a main control unit, an environmental parameter adaptive compensation module and a gain adaptive adjustment module. After an original signal is obtained from a multi-channel sensor, a dynamic error model is constructed in combination with temperature data, a long-term imbalance trend is extracted by using a moving average or median filtering algorithm, and real-time compensation is performed through a pre-calibrated temperature-drift function, so that the system maintenance period is remarkably prolonged.

The invention discloses a dynamic neutral position and boundary self-calibration method and system of a joystick, and belongs to the technical field of engineering machinery and mining equipment control, and the method comprises the following steps: S1, electrifying equipment, and selecting a mode; s2, calibrating a dead zone; s3, setting a threshold value; s4, data storage; and S5, exiting and applying. According to the dynamic median and boundary self-calibration method and system of the joystick, when the joystick works, a physical manipulated variable is converted into an original electric signal through a joystick sensing unit, then the original electric signal is received through a signal processing module and subjected to signal conditioning, and an analog signal is converted into a digital signal which can be processed by a microprocessor; all logical judgments are executed through the main control unit, a user issues an instruction through a user configuration interface and directly inputs the instruction to the main control unit, the main control unit and the nonvolatile memory carry out bidirectional data interaction to realize permanent storage and calling of dead zone parameters, and the main control unit generates a final control instruction to be output after processing all information. And the actuating mechanism is driven.

The invention relates to the technical field of pipeline detection, and discloses a pipeline magnetic flux leakage detection method and device, and the method comprises the steps: obtaining sensor array arrangement parameters and original magnetic field data; establishing a three-dimensional sensor network according to the sensor array arrangement parameters to obtain space coordinate information; performing adaptive signal conditioning and feature extraction according to the original magnetic field data and the space coordinate information to obtain a magnetic flux leakage defect candidate region; and comparing the magnetic flux leakage defect candidate region with a magnetic flux leakage characteristic database to obtain a defect position and a severity level. According to the method, accurate positioning and automatic grading evaluation of pipeline defects can be realized.

The invention discloses an infrared CO2 high-precision detection system and method based on a self-adaptive balance signal, and belongs to the field of gas detection. The invention discloses an infrared CO2 high-precision detection system and method based on a self-adaptive balance signal. The infrared CO2 high-precision detection system comprises a sensing module, a signal conditioning and collecting module and a self-adaptive filtering processing module. According to the method, the problems of contradiction between response speed and stability, discrete signal tracking lag and sensitivity to environmental interference in the prior art are solved, the weight of a filtering channel is adaptively and dynamically adjusted, and the advantages of a fast filtering channel and a slow filtering channel are combined, so that balance between dynamic response and steady-state precision is realized; the problem of tracking lag of discrete signals is solved by analyzing the change rate of the signals in real time and dynamically adjusting a filtering strategy; and through a hybrid filter and an environment compensation algorithm, the influence of temperature and humidity changes on a detection result is reduced, so that the long-term stability of the sensor is improved.

The various implementations described herein include techniques and apparatuses for multi-channel biopotential signal acquisition, biopotential signal pre-processing, and adaptive signal conditioning. In one aspect, an analog frontend circuit includes an instrumentation amplifier (INA) and an analog-to-digital circuit (ADC) in a forward signal path. A digital circuit receives input from the ADC. An adaptive baseline tracking and compensation circuit tracks and compensates moving motion artifact driven changes. A power line interference (PLI) detection and compensation circuit tracks a desired number of PLI harmonics, and magnitude, phase and frequency for the PLI harmonics in real time. A digital-to-analog converter (DAC) circuit combines output of the adaptive baseline tracking and compensation circuit and the PLI detection and compensation circuit to output an analog output. A passive filter receives the analog output and drives an analog compensation signal at an input of the INA.

Method and device(s) for supporting performance of machine learning based CFR and DPD on multiple digital input signals relating to different frequency bands, respectively, in order to signal condition said signals before power amplification and subsequent transmission in said frequency bands by a wireless communication network. The device(s) obtain said multiple digital input signals as complex valued signals. The device(s) perform feature construction that takes said multiple digital input signals as input and provides constructed feature signals according to predefined constructed feature types as output. Said predefined constructed feature types relate to at least the following per complex valued sample of the obtained complex valued multiple digital input signals the real part of the sample, the imaginary part of the sample and at least one of the absolute value of the sample and the phase of the sample.

The invention discloses a VOCs gas leakage real-time monitoring system based on dual-light image fusion, which comprises a dual-light acquisition module, a preprocessing module and a fusion and identification module, and is characterized in that the dual-light acquisition module comprises a visible light lens and an infrared lens; the preprocessing module comprises a gas path dust removal unit and a signal conditioning unit; the fusion and identification module carries out dynamic registration, multi-scale fusion and intelligent noise reduction processing on the preprocessed image. According to the VOCs gas leakage real-time monitoring system based on dual-light image fusion disclosed by the invention, through linkage of the dual-light acquisition module, the preprocessing module and the fusion and identification module, high-sensitivity detection and real-time early warning of VOCs leakage are realized in a complex industrial scene, and meanwhile, the false alarm rate is reduced.

The invention relates to the technical field of data detection, in particular to a three-dimensional multi-parameter real-time monitoring system and method for a floating roof of a crude oil storage tank. The multi-mode sensor array is arranged on the surface of a floating roof and the inner wall of a storage tank and used for collecting displacement, deformation, pressure and environmental parameters of the floating roof in real time; the data acquisition and preprocessing module is connected with the sensor array and is used for signal conditioning, analog-to-digital conversion and noise suppression; the edge calculation unit is deployed on a storage tank site and used for processing sensor data in real time and executing initial analysis; the three-dimensional dynamic modeling module is used for constructing a floating roof three-dimensional attitude model based on multi-source sensor data; the cloud analysis platform is connected with the edge computing unit through the industrial Internet of Things and is used for deep data analysis and early warning decision making; according to the scheme, the technical problems of insufficient parameter coverage, difficult data fusion, one-sided state evaluation and the like can be solved.

The invention relates to a data acquisition and analysis system and method for laser interference measurement, and aims to solve the problem of limited measurement precision caused by asynchronous signal acquisition, imperfect environmental interference compensation and algorithm errors of the existing system. The system comprises a photoelectric conversion unit, a signal conditioning unit, a high-speed synchronous acquisition unit, a real-time processing unit and an error compensation module. The photoelectric conversion unit adopts a four-quadrant PIN photodiode array to receive interference light signals and convert the interference light signals into analog electric signals; the signal conditioning unit performs gain adjustment and bandwidth limitation on the signal; the high-speed synchronous acquisition unit realizes femtosecond-level synchronous acquisition of signals; the real-time processing unit performs phase solution and eliminates harmonic errors based on an improved arc tangent algorithm; and the error compensation module fuses temperature sensor data and accelerometer data to realize thermal drift and vibration compensation.

The invention discloses a Rogowski coil current transformer and a current measurement system, and relates to the technical field of current measurement. The Rogowski coil current transformer comprises a Rogowski coil and a signal processing circuit; the differential signal is converted into a differential constant-current signal to be output based on a signal processing circuit; the signal processing circuit comprises an integral amplification module for performing integral amplification on the differential signal based on the integral amplification module; the first direct current component removing module is used for removing a direct current component in the voltage signal after integral amplification based on the first direct current component removing module; the signal adjusting module is used for realizing amplitude in-phase amplification and phase compensation; the single-ended to differential output module is used for generating symmetrical differential voltage signals based on the single-ended to differential output module; and the conversion module is used for converting the symmetrical differential voltage signal into a differential constant current signal and outputting the differential constant current signal based on the conversion module. And through the integral amplification module and the phase compensation module, the differential signal is accurately converted into the current signal, so that the current measurement result is more accurate.

The invention discloses a rotor and stator axial clearance online measuring device and method based on optical carrier microwave interference. The measuring device comprises a broadband light source, a first polarization maintaining optical fiber, an electro-optical modulator, a second polarization maintaining optical fiber, an optical fiber circulator, a first single-mode optical fiber and a coated optical fiber probe which are connected in sequence, and the coated optical fiber probe directly faces the axial end face to be measured; a first port of the optical fiber circulator is connected with the second polarization maintaining optical fiber, a second port of the optical fiber circulator is connected with the first single-mode optical fiber, and a third port of the optical fiber circulator is sequentially connected with the second single-mode optical fiber, the photoelectric detector, the signal conditioning unit, the signal acquisition unit and the digital processing unit; the signal acquisition unit is connected with the micro-control unit, the micro-control unit is connected with the microwave frequency sweep signal generation unit, and the microwave frequency sweep signal generation unit is connected with the electro-optical modulator. According to the invention, non-contact on-line high-precision measurement of the axial clearance of the rotor and the stator of the aero-engine under the conditions of limited measurement space and complex signal leading-out path can be realized.

The invention provides a system for controlling a manipulator in real time through hand electromyographic signals, which comprises a data acquisition unit, a terminal equipment unit and a tail end execution unit which are in communication connection through serial ports. The data acquisition unit comprises a data acquisition device and a signal acquisition module, and is configured to acquire a multi-channel electromyographic signal of a hand of a user in real time and perform signal conditioning and digitization so as to obtain a digital signal sequence representing a muscle activity intention of the user; the terminal equipment unit comprises a data preprocessing module, a model training module, a gesture recognition module and an instruction generation module; the tail end execution unit comprises a manipulator control unit which is in communication connection with the control output module and is configured to be used for receiving the manipulator control instruction and driving a manipulator to execute corresponding actions; in combination with a control method, the problems of insufficient real-time performance, poor hand action recognition precision and robustness, unstable control instruction, poor user adaptability and the like in the prior art are solved, and the man-machine interaction performance is improved.

The invention provides a heavy duty gas turbine control system which comprises a signal conditioning module and a plurality of parameter control modules, and a rotating speed control module, a load control module, a temperature limit control module and an acceleration control module in the parameter control modules are all used for achieving closed-loop control according to the deviation between a set value and a corresponding observation value; the starting control module is used for acquiring a starting fuel quantity instruction through a designed control strategy; the IGV and VGVs control module obtains an IGV and VGVs angle instruction according to the turbine inlet temperature set value, the turbine outlet temperature set value and the deviation maximum value of the corresponding observation value; the fuel quantity control module obtains a total fuel quantity instruction based on a full working condition range fuel quantity control strategy; the fuel gas distribution control module is used for obtaining an opening degree instruction of each fuel valve according to the total fuel quantity instruction; the adaptability, the reliability and the usability of the control system in application scenes such as autonomous design and technical improvement are improved.

The invention provides an energy-saving compressor intelligent self-adaptive control system based on multi-sensor fusion, which belongs to the technical field of industrial compressor intelligent control and comprises a data acquisition module, a signal conditioning module, a multi-sensor information fusion module, an intelligent control decision module, an execution driving module and a system power supply management module. A state display alarm and remote communication module can be additionally arranged. Multiple sensors collect operation and environment parameters of the compressor, and after conditioning, a comprehensive state evaluation result is generated through D-S evidence theory or fuzzy logic fusion; the intelligent module generates a control instruction based on a load prediction algorithm and a fuzzy PID self-tuning strategy, and the execution module drives the compressor to act; the power supply module supports solar power supply and multi-power supply switching. The system overcomes the limitation that a traditional compressor is single in sensing, rigid in control and the like, comprehensive sensing, accurate evaluation and self-adaptive energy-saving control are achieved, the operation stability is improved, and the energy consumption and the operation and maintenance cost are reduced.

The present invention relates to the technical fields of human-computer interaction and brain informatics, and in particular to a closed-loop neurofeedback method and device based on haptic memory electroencephalogram signal conditioning. The method comprises: collecting electroencephalogram signals of a subject, and performing real-time online data preprocessing; designing a haptic memory stimulation task, activating the haptic memory of the subject, and recording a corresponding electroencephalogram signal response; performing feature extraction and analysis on a corresponding electroencephalogram signal to obtain an electroencephalogram feature related to haptic memory; and on the basis of a haptic memory electroencephalogram feature signal, designing a closed-loop neurofeedback system, the closed-loop neurofeedback system monitoring the electroencephalogram signals of the subject in real time, performing real-time stimulation on the basis of a preset haptic stimulation task, and recording a corresponding electroencephalogram response. In the technical solution of the present invention, the haptic memory electroencephalogram feature signal is combined with the closed-loop neurofeedback system, thus providing new ideas and methods for the diagnosis and treatment of haptic memory-related diseases.

The invention belongs to the technical field of gap measurement, and particularly relates to a high-temperature-resistant transparent shell type eddy current tip gap measuring device and method, and the device comprises a sensor probe module, a signal conditioning module, a data collection module and a data processing module. The sensor probe module is mounted on the outer wall of the casing; the sensor probe module comprises a permanent magnet excitation source, a soft magnet magnetic core and a receiving coil; the signal conditioning module is electrically connected with the receiving coil and is used for amplifying, filtering and integrating the weak induction signal; the data acquisition module is electrically connected with the signal conditioning module and converts an analog signal into a digital signal; the data processing module is used for processing the acquired digital signals and extracting blade tip clearance information.

The invention discloses a water quality monitoring device and a monitoring method thereof, belongs to the technical field of water quality monitoring, and solves the problems that trace hydrogen sulfide generated by sulfate reducing bacteria in a deposited layer at the bottom of a water tank which is not cleaned for a long time in a low-oxygen environment reacts with a platinum membrane electrode of a residual chlorine sensor to generate a platinum sulfide covering layer; and the electrode reading is continuously virtually high and drifts slowly. Comprising an optical transmitting module, an optical receiving module, a spectrum separation module, a signal conditioning module, a lock-in amplification module, a spectrum feature extraction module and a hydrogen sulfide recognition engine. Residual chlorine is monitored in a non-contact mode, deep ultraviolet pulse light is emitted to penetrate through a water body, a reflection spectrum is received, second derivative spectral characteristics are extracted through multichannel signal processing, and multivariable regression compensation is executed to calculate a real residual chlorine value after hydrogen sulfide interference characteristics are recognized. Meanwhile, the drift trend is quantified based on the double-time-constant integral, graded early warning is triggered, industrial standard signals are finally output, and the problem of electrode contact pollution is avoided in the whole process.

The invention relates to the technical field of weak signal conditioning circuits, and discloses a multi-light-source spurious noise suppression circuit based on a laser sensor and a signal conditioning method, and the circuit comprises a photoelectric conversion module which is used for converting a received optical signal into a current signal; the transimpedance conversion module is connected with the photoelectric conversion module, converts the current signal into a first voltage signal and suppresses common-mode noise; the first-stage amplification module is used for carrying out linear amplification on the first voltage signal and outputting a second voltage signal; the programmable filtering module is used for carrying out high-frequency noise suppression on the second voltage signal; the reverse phase adjusting module is used for adjusting the phase and the amplitude of the filtered signal so as to adapt to a post-stage load; and the feedback control module analyzes the frequency spectrum of the output signal in real time and dynamically adjusts the cut-off frequency of the programmable filtering module. The invention aims to solve the problems that in the prior art, a laser sensor circuit is poor in anti-interference performance in a multi-light-source environment, and measurement is inaccurate due to spurious noise.

The invention discloses a device for detecting the leakage current of a post insulator in a switch cabinet and an evaluation method thereof, and relates to the technical field of on-line monitoring of power equipment, the device comprises a TMR sensor, a magnetic ring with an air gap, a signal conditioning module and a microprocessor, the TMR sensor is arranged in the air gap, and the magnetic ring detachably sleeves the post insulator in the switch cabinet; the TMR sensor is used for collecting a magnetic signal caused by the leakage current of the post insulator and transmitting the magnetic signal to the signal conditioning module. The signal conditioning module is used for processing the magnetic signal and sending the processed magnetic signal to the microprocessor; and the microprocessor is used for analyzing the processed magnetic signals and determining multi-dimensional parameters of the leakage current. In the method, the operation state of the post insulator is evaluated by using the multi-dimensional parameters of the leakage current, so that the sensing capability of a weak magnetic field can be greatly improved, and the operation state of the post insulator can be accurately evaluated.

The invention discloses a GIL particle defect on-line monitoring system and method based on an intelligent sensing system, and relates to the technical field of power monitoring, the GIL particle defect on-line monitoring system comprises a defect monitoring platform, the defect monitoring platform is in communication connection with an intelligent sensor network module, a signal conditioning module, a feature extraction module, a defect identification positioning module and a monitoring early warning module, wherein the modules are connected through electric signals; and the intelligent sensor network module is used for deploying a plurality of intelligent ultrasonic sensors on the GIL to form a sensor network. A plurality of intelligent ultrasonic sensors are deployed on a GIL to form a sensor network, ultrasonic propagation speed errors are corrected in combination with an intelligent algorithm, defect positions are accurately calculated by using a triangulation positioning method, and sensor position information and signal propagation characteristics are comprehensively considered; the problem of inaccurate positioning caused by propagation velocity uncertainty and sensor installation deviation in a traditional method is effectively solved, and the defect positioning precision is remarkably improved.

A system for heating a battery comprising a first switch operably coupled with a power supply. An inductive element, which may be a part of filter, is in operable communication with the first switch and a second switch. The system includes a processor in communication with the switches to execute instructions to control the switches to controllably source current to and from the battery, wherein the sources current to and from the battery may be of arbitrary shapes tuned to harmonics optimized for heat generation.

The invention relates to the technical field of satellite navigation and wireless communication, and discloses an indoor positioning method and system based on feeder multiplexing Beidou double-frequency, and the method comprises the steps: receiving outdoor B1I and B2a signals through a high-gain Beidou double-frequency receiving antenna, carrying out the frequency separation and signal conditioning through a double-frequency separation filter, and carrying out the positioning of the B1I and B2a signals; and transmitting the B1I signal to an indoor distributed antenna for broadcasting through the existing communication feeder network, and transmitting the B2a signal to a central directional antenna to establish a time synchronization reference. A mobile terminal receives a dual-frequency signal, capturing and tracking are carried out through digital signal processing, and pseudo-range and carrier phase observation values are extracted. And performing pairing processing on observation data of the same antenna, calculating a dual-frequency pseudo-range difference value, eliminating system errors, and performing position calculation by adopting a weighted least square method and Kalman filtering. The method solves the problem that the traditional GPS signal cannot cover the indoor environment, and has a good application prospect in the scenes of underground commercial complexes, tunnels, parking lots and the like.

The invention relates to a vibration acquisition and monitoring device for vehicle-mounted equipment. The device comprises an acceleration sensor module, a vibration acquisition and monitoring module and a control module, wherein the acceleration sensor module is used for detecting three-axis acceleration of the detected vehicle-mounted equipment in real time; the signal conditioning module is used for carrying out blocking filtering and denoising on the three-axis acceleration original data and then sending the three-axis acceleration original data to the MCU processing module; the MCU processing module is used for performing frequency spectrum calculation according to the three-axis acceleration to obtain a power spectrum density PSD and a corresponding RMS value, and recording and storing the power spectrum density PSD and the corresponding RMS value; the data communication module is connected with the MCU processing module and is used for realizing communication with an upper PC (Personal Computer) and vehicle-mounted equipment; and the power supply module is used for providing low-noise stable power supply for each module. Compared with the prior art, the method has the advantages of high real-time performance, stability, reliability, low power consumption, small measurement error and the like.

The invention relates to the technical field of industrial automation control, in particular to a full-isolation data acquisition method, circuit and terminal. The acquisition method comprises the following steps: acquiring a non-electric-quantity analog signal through a sensor, and preprocessing the analog signal, including low-pass filtering, common-mode noise suppression and gain programmable amplification. Through the designed Flyback-PFM / PWM hybrid modulation isolation power supply, four paths of mutually isolated low ripple output (the ripple suppression ratio reaches 60dB at 100kHz) are realized under the wide voltage input condition of 8-36V, and a secondary side feedback network is combined with a pi-type filter circuit to effectively suppress the interference of high-frequency switching noise on the reference voltage of a sigma-delta type ADC (Analog to Digital Converter). And the common-mode rejection ratio of the signal conditioning module is improved to 120dB.

The ultralow frequency sensor comprises a vibration detection unit, a power supply voltage stabilization unit and a signal conditioning unit, the power supply voltage stabilization unit is provided with a low dropout linear voltage regulator U20, a voltage converter U19 and a negative voltage regulator U21, and the low dropout linear voltage regulator U20 stabilizes an external power supply as a positive power supply VCC; the voltage converter U19 is used for converting positive voltage of an external power supply into negative voltage and outputting stable negative power supply VEE through the negative voltage stabilizer; the positive power supply VCC and the negative power supply VEE supply power to the signal conditioning unit; the signal conditioning unit comprises a high common mode rejection differential amplifier, a differential-to-single-ended amplifier, a band-pass filter and a differential output driver, a differential signal output by the vibration detection unit sequentially passes through the high common mode rejection differential amplifier, the differential-to-single-ended amplifier, the band-pass filter and the differential output driver, and then a differential voltage signal is output; the method has the advantages of high stability and reliability and the like.

The invention discloses a multi-protocol compatible hydropower station field bus photoelectric signal synchronous acquisition device and method, and relates to the technical field of industrial bus testing, the device comprises a core control layer, a signal conditioning layer, a photoelectric interface layer, a clock synchronization layer, a power management layer and a data storage and transmission layer; the core control layer adopts a dual-core framework of a domestic Loongson 2K0300 main control unit and a domestic FPGA (Field Programmable Gate Array) time sequence control unit; the clock synchronization layer adopts a two-stage synchronization mechanism of'local crystal oscillator time sequence control + NTP network clock calibration '; and the signal conditioning layer is integrated with a multi-protocol self-adaptive conditioning module and an industrial-grade anti-interference module. The method comprises the steps of clock initialization and calibration, parameter configuration, photoelectric signal parallel acquisition and time sequence synchronization, and data preprocessing and transmission, so that synchronous acquisition of six types of bus protocol photoelectric signals is realized. The system has the advantages of multi-protocol compatibility, autonomous controllability, good portability and the like, and provides reliable data support for bus communication quality evaluation and fault diagnosis.

A system that incorporates aspects of the subject disclosure may perform operations including, for example, receiving, via an antenna, a signal generated by a communication device, detecting an interference in the signal, the interference generated by one or more transmitters unassociated with the communication device, and the interference determined from signal characteristics associated with a signaling protocol used by the one or more transmitters, and performing signal conditioning on the signal to reduce the interference. Other embodiments are disclosed.

The invention discloses a dual-channel control surface load simulation and comprehensive test system, relates to the technical field of aircraft tests, and solves the problems that an existing steering engine test system is small in measurement range and low in precision, the actual performance of a flight control steering engine cannot be comprehensively measured, and the load state of a wind tunnel control surface cannot be simulated. Through a wide-range independent electric loading mechanism and a small-range independent electric loading mechanism, under scheduling of a comprehensive control system, loads are output in a differentiated mode, data are collected in real time in combination with a torque sensor and a photoelectric encoder, closed-loop feedback is conducted after filtering is conducted through a signal conditioning module, dynamic load simulation is achieved, meanwhile, a double-closed-loop control strategy and a redundant torque compensation strategy are adopted, and dynamic load simulation is achieved. And interference is effectively suppressed. The method has a good application prospect in the field of aerospace craft steering engine dynamic performance testing.