126 results about "Hardware in loop simulation" patented technology

The invention provides a hardware-in-the-loop simulation test method and device for a network construction type energy storage converter, and relates to the technical field of electric power grids. The network construction type energy storage converter is connected with the simulation energy storage system and the power grid simulation device, a hardware-in-the-loop simulation test system is constructed, and control parameters of the simulation energy storage system and the power grid simulation device are adjusted based on the simulation test system in combination with test types. Various types of hardware-in-the-loop tests and semi-physical tests such as fault ride-through tests, electric energy adaptability tests and black start tests are realized, and effective evaluation of the performance of the network-forming type energy storage converter is realized. According to the method, the problem of power grid oscillation caused by the fact that the network construction type energy storage converter is connected into the power grid for testing is avoided, the accuracy of the testing result of the network construction type energy storage converter is guaranteed, accurate capturing of performance parameters of different types of network construction type energy storage converters is achieved, and the testing effect of the network construction type energy storage converter is improved.

The invention relates to the technical field of agricultural equipment, in particular to a hybrid tractor whole machine dynamic property evaluation method fusing multiple working condition parameters, which comprises the following steps: acquiring an environment working condition parameter set, an operation task parameter set and an energy flow dynamic parameter set in real time; a dynamic coupling relation mathematical model is constructed based on the parameter set, the whole machine dynamic property characteristic values of the steady state working point and the transient working point are calculated respectively, and a whole machine dynamic property evaluation index set is generated; inputting the evaluation index set into a hardware-in-the-loop simulation platform, and verifying the effectiveness of the evaluation indexes through multi-modal working condition simulation; and constructing a three-dimensional dynamic property evaluation map based on the verified evaluation indexes, dividing dynamic property partitions, outputting the dynamic property partitions to the vehicle-mounted intelligent terminal in real time, and generating a self-adaptive control instruction set when entering a failure area. According to the invention, multi-source information fusion modeling, all-working-condition dynamic response evaluation and visual map feedback can be realized, and the dynamic adaptability and regulation and control intelligence of the hybrid tractor in a complex operation scene are improved.

The invention discloses a drive-by-wire chassis electric vehicle hardware-in-the-loop simulation test bench and a power chassis domain integrated control architecture thereof. The test bench comprises a driving simulation system, an electric drive system, a drive-by-wire brake system, a drive-by-wire steering system, an active suspension system, a power chassis domain integrated control system, a vehicle real-time simulation system and a bench measurement and control system. And the power chassis domain integrated control system receives a driver instruction, road environment and vehicle model information and response information of each execution system of the power chassis and the load simulation device of the execution system to complete decision-making instruction sending. The power chassis domain integrated control system adopts a hierarchical control architecture and comprises a vehicle motion stability judgment layer, a vehicle motion integrated control layer and an actuator and load control layer thereof. The system is used for testing and verifying control algorithms of various movement modes such as transverse and longitudinal movement modes, transverse and vertical movement modes and transverse, longitudinal and vertical movement modes of the drive-by-wire chassis intelligent electric vehicle, and has the characteristics of complete drive-by-wire chassis functions, high power chassis domain fusion degree, wide test coverage and the like.

The invention provides an HIL simulation test system of a commercial vehicle domain controller. The system comprises an HIL system software platform, an HIL system simulation model, an HIL system simulation hardware platform and a vehicle body system special simulation assembly which are electrically connected. The HIL system simulation hardware platform is used for providing hardware support and executing the hardware-in-the-loop simulation test; the HIL system software platform is used for controlling a simulation test process, managing a test task and automatically generating an interface model; the HIL system simulation model is used for constructing a virtual test environment of a controller and performing signal interaction with the HIL system simulation hardware platform; the simulation assembly special for the vehicle body system is used for simulating vehicle body control, air conditioner control, gateway and vehicle control functions so as to improve the test coverage degree, and efficient development and iteration of a commercial vehicle domain controller are facilitated.

The invention relates to the technical field of digital simulation, and discloses a hardware-in-the-loop simulation test method for a control and protection system of an energy storage power station. The method comprises the following steps: acquiring operation data of an energy storage power station, and establishing an SOC-power coupling constraint mechanism by adopting a state space decomposition algorithm; establishing a current-voltage-SOC three-dimensional protection criterion based on the battery state parameters; calculating power balance distribution of the multiple energy storage power stations by adopting a distributed coordination control algorithm; configuring a hardware interface signal synchronization protocol to establish a test platform; and loading a multi-scene fault working condition to execute automatic verification and outputting a performance evaluation result. The technical problem that the energy storage power station control and protection system lacks a high-precision, multi-scene and hardware-in-the-loop integrated simulation test verification method is solved, and the precision, efficiency and safety of test verification of the energy storage power station control and protection system are improved.

The invention discloses an underwater gliding robot anchoring process energy consumption optimization method and system based on a subdomain grey box model. The energy consumption optimization method comprises the steps that a white box energy consumption mechanism model in the underwater gliding robot anchoring process is established; the whole anchoring energy consumption stage of the underwater gliding robot is divided into a plurality of sub-domains, and a Latin hypercube design method is adopted to simulate and generate a plurality of sub-domain samples meeting variable range constraints by using a hardware-in-the-loop simulation platform; selecting a Kriging model as a sub-domain agent model, fusing the white-box energy consumption mechanism model and constraint conditions of an oil bag volume and a movable mass position to form a sub-domain grey-box model, and performing segmented energy consumption fitting by using the sub-domain grey-box model; and with minimization of energy consumption fitted by the sub-domain grey box model as a target, performing iterative optimization on the sub-domain proxy model by adopting a dynamic guidance self-adjusting particle swarm algorithm, and outputting optimal planning parameters. The method realizes anchoring full-process low-energy-consumption control, and is suitable for marine resource exploration, hydrological monitoring and other tasks.

According to the ZYNQ platform-based motor simulation method provided by the invention, the ARM + FPGA heterogeneous architecture characteristic of ZYNQ is fully utilized, a motor simulation model is intelligently segmented and deployed, and a set of complete solution from model design to code generation, deployment and debugging is constructed based on a real-time Linux system. The method has the advantages of being high in universality, easy and convenient to use and low in cost, the motor model can be rapidly built according to the electrical characteristics of the motor, codes suitable for different computing resources are generated through the code generation technology, and efficient hardware-in-the-loop simulation is achieved.

The invention provides a remote driving vehicle in-loop test system based on an augmented reality technology. The remote driving vehicle in-loop test system comprises an augmented reality module, a hardware in-loop simulation module, a self-adaptive scene generation module, a data analysis module, a remote storage and cloud computing module and an automatic report generation module. According to the system, virtual information is superposed in a real driving environment through augmented reality equipment, so that a driver can perform remote driving test in a mixed reality environment, and real-time interaction of vehicle control instructions is realized in combination with hardware-in-the-loop simulation. The adaptive scene generation module can dynamically adjust a test environment according to sensor data, and simulate different traffic conditions and emergencies. The system can be widely applied to remote driving, automatic driving testing and intelligent traffic system research and development, a real, efficient and safe testing environment is provided, and the reliability and adaptability of a remote driving system are improved.

The invention belongs to the technical field of power systems, and particularly discloses a wind power plant controller hardware-in-the-loop simulation method for a wind turbine generator test platform, which comprises the following steps: establishing a platform simulation model comprising a wind turbine generator transmission chain test platform model and a wind power plant simulation model, and setting a control strategy; configuring parameters of the platform simulation model; establishing a controller hardware-in-the-loop simulation system; the platform simulation model, the control strategy and the model parameters are loaded into the system, and data interface matching is completed; a simulation test is carried out, and the operation state of the wind turbine generator is acquired and analyzed; and if the control effect does not meet the preset requirement, adjusting the control strategy or the model parameter and repeating the test until the requirement is met. According to the method, dynamic coupling simulation among a wind turbine generator transmission chain, wind power plant operation and power grid working conditions can be achieved, control strategy verification and parameter optimization under multiple working conditions are supported, and the problems that a traditional test platform is limited in test range, insufficient in strategy verification and high in real machine test risk are solved.

The invention discloses an SVG fault ride-through capability evaluation method and system based on HIL simulation, a medium and equipment. The SVG fault ride-through capability evaluation method comprises the steps that photovoltaic power station operation parameters, power grid operation parameters and SVG dynamic reactive power compensation device parameters are acquired; constructing a simulation model according to the operation parameters of the photovoltaic power station, the operation parameters of the power grid and the parameters of the SVG dynamic reactive power compensation device, and connecting the simulation model and SVG controller hardware; according to a preset fault ride-through test method, setting a corresponding test parameter combination for each test condition; according to a preset simulation algorithm and each test parameter combination, controlling the simulation model and SVG controller hardware to perform simulation to obtain a simulation test result; and evaluating the simulation test result to obtain an SVG fault ride-through capability index. Through the method based on controller hardware-in-the-loop simulation test, the reliability and the accuracy of evaluating the fault voltage ride-through capability of the dynamic reactive power compensation device of the photovoltaic power station are improved.

According to the FPGA + CPU-based permanent magnet synchronous motor hardware-in-the-loop test simulation method provided by the invention, rapid verification and optimization of a motor control system can be realized through automatic tool chain development and a high-real-time simulation technology. The method comprises the following steps: firstly, building a mathematical model of a high-precision permanent magnet synchronous motor system on the basis of an HDL Coder modeling specification, and developing a whole set of complete solution covering model design, code generation, deployment and debugging on the basis of an HDL Coder Workflow Advisor; the method has the advantages of being high in universality, high in usability and low in cost, is suitable for various power electronic models with high-frequency requirements, optimizes and adapts to an FPGA + CPU multi-core heterogeneous computing architecture through a code generation technology, and achieves efficient hardware-in-loop simulation testing.

A hardware-in-the-loop test method and system for a protection device. The method comprises: constructing a simulation scenario in a hardware-in-the-loop simulation test system; on the basis of the mounting position of a protection device (4) to be verified in the simulation scenario, determining the minimum sampling signals required for said protection device (4) to work normally, and establishing a current transformer model capable of restoring a transient saturation scenario; performing a power-on operation on said protection device (4), and enabling the hardware-in-the-loop simulation test system to output an electrical signal; and after a correct sampling reading is acquired on said protection device (4), simulating a fault scenario in the simulation scenario, and on the basis of a current signal having transient saturation characteristics calculated by a model and a logic determination of the protection device, determining whether an action result of the fault scenario satisfies a setting value and an action logic. The present hardware-in-the-loop test method for a protection device restores a true current in a non-ideal fault condition, thereby deeply testing the working characteristics of a relay protection device in a power station.

The invention provides a test method and device for a truck formation control system, and the method comprises the steps: obtaining vehicle control information corresponding to a simulation traction truck and a simulation following truck in a tested truck formation control system, the vehicle control information is generated based on each tested controller device in the tested truck formation control system; and based on the vehicle control information and the truck formation control system simulation test scene, carrying out simulation test on the tested truck formation control system to obtain a test result corresponding to the tested truck formation control system. Real vehicle testing is replaced by a hardware-in-the-loop simulation environment, complex and changeable traffic scenes are accurately reproduced, it is ensured that the performance of the truck formation control system is verified under various conditions, the testing efficiency is improved, meanwhile, safety risks are effectively avoided, and the safety of testing personnel and equipment is protected.

The invention relates to the technical field of electric power simulation, and discloses a hardware-in-the-loop simulation-oriented new energy equipment model verification method and system, and the method comprises the steps: constructing a new energy equipment basic model based on a physical equation, carrying out the compensation of a dynamic working condition error through combining with an LSTM neural network, and generating a hybrid parameterized model; fitting voltage and current data through a particle swarm optimization algorithm, and dynamically adjusting impedance parameters to complete model calibration; a time domain step response test, frequency domain characteristic analysis and a voltage sag fault experiment are executed on a hardware-in-loop platform, and the performance of the model is verified in a multi-dimensional mode; and generating a standardized verification report containing a steady-state error and a simulation step length index based on the deviation between the dynamic response curve and the measured data. According to the method, a mechanism model and a data driving technology are fused, the problems that dynamic characteristic adaptation is insufficient and parameter calibration depends on experience in traditional verification are solved, and the simulation precision and verification efficiency of the model under complex working conditions are improved.

The invention discloses a high-speed magnetic levitation power load hardware-in-the-loop simulation test platform and method, and relates to the technical field of hardware-in-the-loop, and the high-speed magnetic levitation power load hardware-in-the-loop simulation test platform comprises a tested controller and a power load simulation module. The power load simulation module is connected with the tested controller through a power cable and a digital signal line, and the power load simulation module can provide a power test environment required by operation for the tested controller. According to the high-speed magnetic levitation power load hardware-in-loop simulation test platform, high-power signal transmission and power characteristic real-time online simulation are realized, and the defect that signal-level hardware-in-loop simulation cannot meet the high-power test requirement of a controller driving part in the prior art is overcome; and the integrity and the accuracy of the test of the high-speed magnetic levitation system controller are obviously improved.

The application belongs to the technical field of vehicle software development, and particularly relates to a method for realizing hard real-time of a non-real-time system in hardware-in-the-loop simulation and electronic equipment, wherein the method for realizing hard real-time of the non-real-time system in the hardware-in-the-loop simulation comprises the following steps: creating a real-time model task and forming a task program; the task program automatically reads computer configuration and judges the number Z of processor cores of a current computer device; when the number Z of the processor cores does not exceed X, the number n of threads is set to 1 to execute the real-time model task, otherwise the number n of threads is set to (Z-X) / Y to execute the real-time model task, wherein Y represents the number of threads of one physical core of the processor.

The invention belongs to the technical field of power systems, and particularly discloses a controller hardware-in-the-loop wind turbine generator transmission chain test platform simulation method, which comprises the following steps: designing parameters of a wind turbine generator, and constructing a wind turbine generator simulation model; establishing a wind field model, and embedding the wind field model into the wind turbine generator simulation model; constructing a transmission chain model and performing data connection with the wind turbine generator simulation model; constructing a control system comprising a main controller model and a subsystem control system, and establishing a control instruction channel and a feedback signal channel for the subsystem control system and the transmission chain model; deploying a control system in a rapid control prototype, and connecting the control system with the simulation platform through a physical interface; transmission chain operation data are collected in the simulation process, and the control strategy of the experimental platform and the transmission chain performance are evaluated. The hardware-in-the-loop simulation technology is utilized, closed-loop operation between the controller entity and the virtual model is achieved, and the authenticity of transmission chain experiment platform control strategy verification and the flexibility of experiment platform debugging are effectively improved.

The application discloses a train braking system distributed cooperative analysis platform, which comprises a system simulation area, a data acquisition area, a data intelligent analysis area and the like. The data acquisition area acquires vehicle data and transmits the vehicle data to the system simulation area. The system simulation area outputs vehicle simulation data through model-in-loop simulation, rapid control prototype simulation and hardware-in-loop simulation according to the vehicle data. The data intelligent analysis area performs fault diagnosis on a train braking system according to the vehicle data and the vehicle simulation data, and outputs a solution to eliminate faults according to a diagnosis result. The application takes an electronic brake control unit, a pneumatic brake control unit, a basic brake unit and other key components as main control objects, establishes a train braking system distributed cooperative analysis platform based on model simulation and big data analysis, and solves problems existing in system design, system test verification and system operation and maintenance.

The invention relates to an STATCOM (Static Synchronous Compensator) broadband domain impedance characteristic acquisition method based on hardware-in-the-loop simulation. The method comprises the following steps: firstly, establishing an STATCOM single machine infinite bus system based on a hardware-in-the-loop simulation platform; then, when the STATCOM operates normally, a three-phase voltage disturbance signal with the amplitude being k% of the nominal voltage and the frequency being within the range of f1-f2 is injected into a body of the STATCOM, and meanwhile, three-phase voltage and current signals at the machine end of the STATCOM are collected; and finally, the broadband impedance of the system to be measured is calculated according to the collected voltage and current signals. According to the method, the impedance characteristic of the STATCOM in the range of f1-f2 can be accurately and quickly obtained, and the obtained result can provide an important basis for influence analysis of the STATCOM accessing a power grid.

The invention discloses a system and method for hardware-in-the-loop automated test management, a computer readable storage medium and computer equipment. The system at least comprises a cloud test platform, an application container engine, a robot control system and a hardware-in-the-loop simulation platform, and the cloud test platform comprises a test confirmation module, a test distribution module, a schedule module and a client interaction module. And the test distribution module is configured to realize intelligent distribution of the hardware-in-the-loop test tasks at least according to the test task information provided by the test confirmation module, the schedule information provided by the schedule module and the basic information of the hardware fed back by the hardware-in-the-loop simulation platform. According to the scheme, for manual testing and automatic testing, rapid interaction is carried out among the cloud testing platform, the hardware-in-loop simulation platform and the robot control system, automatic hardware switching of the hardware-in-loop simulation platform can be carried out, intelligent distribution of testing tasks is completed, the labor cost is reduced, and the testing efficiency is improved.

The invention relates to the technical field of automobile power system testing, in particular to a dynamometer and HIL integrated finished automobile multi-working-condition automatic testing and calibrating system, which combines a dynamometer rack with a hardware-in-the-loop simulation technology, develops a dynamics scene model covering conventional and limiting working conditions, and improves the testing accuracy of the dynamometer rack and the hardware-in-the-loop simulation technology. The conversion and interaction of virtual and real signals are realized through road load simulation and energy consumption simulation; the dynamometer and HIL integrated whole vehicle multi-working-condition automatic test calibration system is composed of IO, DOE, automatic calibration, objective evaluation and other functional modules, can automatically execute test cases, complete parameter calibration and optimization analysis, and perform objective evaluation on test results, and can realize multi-working-condition test, reduce the dependence on real vehicle road test, improve the test efficiency and comprehensiveness, and reduce the test cost. The controller development period is shortened, and the cost is reduced.

The invention provides an automatic driving formation hardware-in-the-loop simulation platform based on a satellite position simulation platform and a medium, and relates to the technical field of automatic driving and car networking simulation. The platform comprises a satellite position simulation module, a traffic simulation platform, a hardware verification platform, a simulation bus and a clock synchronization module. The satellite position simulation module generates satellite data with a timestamp; the traffic simulation platform constructs a formation driving scene and operates a formation control algorithm; the hardware verification platform comprises a real phased-array antenna module and a PC5 communication device. The modules exchange data through a simulation bus, and the clock synchronization module unifies the time reference to form a closed-loop verification environment of simulation hardware simulation. The problems that space-based data and ground simulation are separated and real communication characteristics are difficult to quantitatively evaluate in the prior art are solved, the satellite-ground cooperation and formation control strategy can be efficiently and reliably verified in a laboratory environment, and the real vehicle test cost and risk are remarkably reduced.

The invention discloses a hardware-in-loop simulation method based on a high-order generalized average model and a related device, and belongs to the technical field of power electronic converter simulation. The method comprises the following steps: listing a piecewise linear state equation of a target power electronic converter; performing moving Fourier expansion on the piecewise linear state equation to obtain a high-order generalized average model of the power electronic converter; calculating moving Fourier coefficients of a switching signal and an input signal of the power electronic converter, and substituting the moving Fourier coefficients into a high-order generalized average model of the power electronic converter to obtain a differential equation of each order of moving Fourier coefficient about a circuit variable; and solving the differential equation, calculating to obtain a mobile Fourier coefficient of each variable in the circuit, and further reconstructing a time domain waveform of each circuit variable at the center moment to realize simulation of the target power electronic converter. According to the method, the simulation step length of the model is greatly increased, and computing resources are saved; meanwhile, the precision requirement is met, and the steady-state and transient-state behaviors of the circuit can be accurately predicted.

The application discloses a kind of HIL simulation methods of underground mining whole process, it is related to the field of autonomous driving simulation test, including: the point cloud data of underground scene is collected, and CARLA format simulation scene is generated;The generated CARLA format simulation scene is compiled and imported by Unreal engine, vehicle model and laser radar sensor model are built in Carla simulator, and the point cloud data packet of simulation scene is collected;According to the point cloud data packet, mapping is carried out by SLAM algorithm, and the point cloud map of PCD format is generated;According to the PCD point cloud map, the map of simulation scene is constructed;Hardware-in-the-loop HIL simulation platform including host computer, lower computer and actuating mechanism is built;The map of simulation scene constructed is loaded to the hardware-in-the-loop HIL simulation platform constructed, and the real mine working condition scene is simulated through simulation platform, and the mine working condition unmanned driving algorithm is verified.The present application improves the coverage of test by whole process closed loop etc., for the difficulty of comprehensive evaluation unmanned driving test in prior art.

The present application relates to the technical field of power distribution network resilience evaluation, and discloses a power distribution network resilience evaluation verification method, system, device and medium based on multi-dimensional fault injection, which comprises the following steps: constructing a multi-dimensional fault model library; based on a preset test target, selecting a target fault scene from the model library and generating a fault injection strategy; executing the strategy on a hardware-in-the-loop simulation platform, and collecting system operation data in real time; calculating a performance index curve representing the overall power supply level of the power distribution network over time, and quantitatively calculating a plurality of resilience evaluation indexes; based on the resilience evaluation indexes, performing comparative analysis, identifying key scenes that significantly affect the resilience of the power distribution network, and adjusting the fault injection strategy in subsequent tests to realize closed-loop evaluation and verification of the resilience of the power distribution network. The present application not only evaluates the degree of performance loss, but also focuses on recovery speed and recovery efficiency to identify weak links affecting recovery and provide a scientific basis for formulating resilience improvement measures.

The present invention discloses a method for estimating the resonance frequency of a permanent magnet synchronous motor drive system, specifically as follows: Establish a vector control model of the permanent magnet synchronous motor, transform the three-phase stator current into the d-q coordinate system, and based on the current under the d-q axis and the measured actual speed including the resonance component, build a second-order extended state observer according to the dynamic equation of the permanent magnet synchronous motor to obtain the observation error, that is, the resonance harmonic component; Build a single-phase enhanced phase-locked loop, input the resonance harmonic component into the single-phase enhanced phase-locked loop to obtain the estimated resonance angular frequency; Divide the estimated resonance angular frequency by 2π, that is, realize the estimation of the resonance frequency of the permanent magnet synchronous motor drive system. The present invention can be implemented in off-line simulation, on-line real-time simulation, and hardware-in-the-loop simulation systems, which can effectively reduce the computational burden of traditional resonance frequency estimation schemes; and the present invention can also maintain good estimation performance under dynamic conditions.

The invention discloses an automatic driving simulation system and method based on data closed loop and hardware-in-loop. The system comprises an automatic driving real vehicle module, a cloud platform module, a data closed loop verification module, a remote upgrading module, a simulation bridging module, a simulation scene generator module and a real vehicle verification data recording module. The automatic driving real vehicle automatically drives according to a preset test scene; the simulation scene generator module inputs simulation parameters to generate simulation scene data; judging whether the hardware-in-the-loop simulation test is normally carried out or not, if so, recording key operation data, and analyzing the data through a data closed-loop verification module; judging whether the scene operation parameters conform to design expectation or not, if yes, collecting standard scene parameters, and recording test data; and if not, optimizing the generation strategy of the simulation scene. The method has the advantages of closed-loop processing of simulation data, quick verification of a simulation algorithm, improvement of simulation scene accuracy, acceleration of iteration speed and the like, and a new way is provided for high-authenticity simulation of an automatic driving system.

The application belongs to the technical field of wind turbine simulation, and provides a wind turbine full-closed loop simulator and method based on a field programmable gate array, which comprises a field programmable gate array chip, an ARM chip and a digital-analog interface connected with the field programmable gate array chip; the application adopts the field programmable gate array chip, and realizes transient real-time simulation of the electromagnetic system of the wind turbine by means of the powerful parallel computing capability of the field programmable gate array chip; compared with the prior art, the application can quickly verify the effect of the control strategy by using the built-in controller, and can access the actual wind turbine controller through the digital-analog interface to perform hardware-in-the-loop simulation and test the control effect; meanwhile, the ARM chip is used as a real-time operation carrier of the wind turbine controller algorithm, and the field programmable gate array chip and the ARM chip interact with real-time data through a digital-analog channel to realize a wind turbine closed loop real-time simulation platform.

The present invention discloses a device and method for compensating radial runout components of a magnetically suspended rotor position. These devices relate to the technical field of high-speed magnetically suspended motors and include a hardware-in-the-loop (HIL) simulation system. The HIL simulation system comprises a high-speed magnetically suspended motor and its control system, which together constitute the physical "hardware" system of the HIL simulation system. Furthermore, the HIL system comprises a dynamic mathematical model of the high-speed magnetically suspended motor and its control system, which forms a simulation system within a computer digital space. The high-speed magnetically suspended motor comprises a magnetically suspended rotor assembly, radial / axial electromagnetic bearings, radial / axial displacement sensors for the rotor assembly, a three-phase motor stator, and an angular displacement sensor for the magnetically suspended rotor assembly. The present invention utilizes HIL simulation and artificial intelligence computer optimization to determine the Fourier coefficient parameters of each harmonic of the radial runout component in a virtual digital space. The obtained Fourier coefficient parameters are then used in the actual system to reversely reconstruct the radial runout to offset the adverse effects of the actual radial runout component.

The present application relates to the field of power system automation, and discloses a double-fed fan Crowbar circuit action identification method based on a difference hash algorithm, which filters out low-voltage ride-through test results of three-phase symmetrical and asymmetrical faults by reading double-fed fan hardware-in-the-loop simulation or on-site fault ride-through test results; respectively outputs the reactive power and reactive current of the test results as pictures, fits the reactive power and reactive current of the double-fed fan Crowbar circuit that does not act, and outputs as pictures; reduces the picture size, converts the pictures into grayscale pictures, obtains the fingerprints of the pictures by using the difference hash algorithm, calculates the Hamming distance of the reactive power and reactive current, and thus judges whether the double-fed fan Crowbar circuit acts; the method can identify whether the Crowbar circuit acts during low-voltage ride-through from the double-fed fan fault ride-through test results, and the result is not affected by the capacity of the double-fed fan, the low-voltage ride-through depth, the active power output of the fan and the like, and has the advantage of high accuracy.