30 results about "Hardware-in-the-loop simulation" patented technology

The application discloses a kind of hardware-in-the-loop test of automatic driving domain controller, comprising: real-time processor and graphics workstation;Graphics workstation is used to generate simulation traffic scene information, simulation sensor information is generated based on simulation traffic scene information, first simulation sensor information in simulation traffic scene information and simulation sensor information, simulation traffic scene information and simulation sensor information are transmitted to automatic driving domain controller, second simulation sensor information in simulation sensor information is transmitted to real-time processor;Real-time processor is used to transmit second simulation sensor information to automatic driving domain controller, receives the vehicle control information that automatic driving domain controller feedback.This application provides the hardware-in-the-loop test system, device, storage medium of automatic driving domain controller, can avoid the problem that scene information and sensor perception information do not match when hardware-in-the-loop test, improves the accuracy of test.

The application relates to an FPGA prototype verification method and system of a smart meter chip, and belongs to the field of integrated circuit testing and electric power metering. The method aims to solve the problems of ASIC design transplantation to an FPGA platform, large difference between a verification environment and a real power grid, and lack of a real-time closed-loop verification mechanism. A technical scheme efficiently transplants the design to the FPGA by optimizing ASIC front-end synthesis constraints and adopting a netlist-level IP replacement strategy; a hardware-in-the-loop system is constructed, which comprises a real power grid signal source, a separation device simulation front end, an FPGA verification board, a high-precision standard electric energy meter and a host computer. The system can generate a real power grid excitation and realize synchronous collection of prototype output and the standard meter, real-time error analysis and dynamic adjustment of parameters, thereby forming a closed-loop verification. The application significantly improves code transplantation efficiency, provides a highly consistent real power grid verification environment, and greatly improves verification iteration and defect positioning speed.

This invention discloses a collaborative intelligent control method for multiple smoke exhaust systems in tunnel fires based on MPC. It achieves synchronous iteration of simulation, control, and physical hardware by constructing a full-size FDS numerical model and a Python-FDS-hardware-in-the-loop three-in-one millisecond-level bidirectional coupling interface. A spatiotemporal topology of tunnel fire smoke evolution is constructed to quickly and accurately predict the spatiotemporal distribution of smoke throughout the tunnel. A two-layer deep MPC architecture combining global collaborative optimization and zoned rolling control is designed, integrating multi-objective optimization functions for evacuation safety, smoke risk, energy consumption, and adjustment smoothness, and embedding hard constraints such as equipment rating, differential pressure, and safety thresholds. Adaptive rolling time-domain optimization and adaptive reconfiguration mechanism for fan failures are introduced. Finally, distributed collaborative closed-loop intelligent control of multiple smoke exhaust fans is achieved through the coupling interface, outputting control commands and fire situation data, significantly improving response speed.

This invention proposes a method for enhancing the stability of power hardware-in-the-loop systems based on DDPG-RP. First, an equivalent circuit model of the system containing grid fault disturbances is established, its dynamic interaction characteristics are analyzed, and the impedance matching conditions for stable operation are determined. Based on this, a phase-compensated and enhanced repetitive-voltage feedforward composite controller is designed. An upper-level intelligent controller is constructed by combining this with a deep deterministic policy gradient algorithm. These two controllers are deployed in the bottom and upper-level control units, respectively, forming a hierarchical collaborative control architecture for grid fault simulation. A test platform is built based on this architecture. After offline training and online deployment of the deep reinforcement learning controller, a three-phase short-circuit fault condition is simulated using a high-power grid-connected interface device to verify its dynamic response and stability. This invention, relying on hierarchical collaboration and intelligent optimization, effectively solves the problem of traditional control systems struggling to balance stability and performance under complex faults, significantly improving system adaptability and robustness.

This invention discloses a multi-mode collaborative simulation method and system for unmanned aerial vehicle (UAV) swarms, comprising: building a layered and decoupled integrated simulation framework, including an environment layer, simulation layer, communication layer, control layer, and resource scheduling layer; constructing a standardized communication system to achieve unified encapsulation and transmission of virtual environment, software-in-the-loop, hardware-in-the-loop, virtual-real combination, and real environment data, and adapting to multiple communication links; deploying a simulation fusion planning algorithm in the control layer to automatically match simulation modes and achieve scene mapping and swarm collaboration; connecting each simulation module to the simulation layer for debugging; setting the swarm size and tasks according to requirements, with the resource scheduling layer dynamically allocating resources and starting the simulation; and finally analyzing simulation data and optimizing iteratively. This invention deeply integrates multiple simulation modes, supports large-scale swarm collaboration, and improves simulation efficiency and realism through layered decoupling and dynamic resource scheduling, solving the problems of isolated simulation modes and difficult resource scheduling in existing technologies.

The application discloses a chemical reaction system multi-physical field semi-physical simulation device and method, and belongs to the field of chemical testing and simulation. The device contains a parameterized model construction, a real-time simulation environment, a semi-physical simulation algorithm and a parameter correction calculation module, can construct a reactor multi-parameterized mathematical model, realizes one-dimensional / three-dimensional model on-demand calling and correction, accesses actual hardware such as DCS / PLC to complete virtual-real real-time closed-loop testing; the method is to construct a parameterized model containing an Arrhenius law kinetic equation, after one-dimensional / three-dimensional joint simulation prediction, the model parameters are corrected by using the measured data of hardware-in-the-loop testing. The application integrates multiple simulation technologies, solves the problems of high risk and high cost of chemical experiment, low precision of pure virtual simulation and inability of real-time optimization, can safely simulate extreme working conditions, the prediction accuracy of main product yield is more than 96%, the hot spot temperature error is less than or equal to 3 DEG C, improves the verification precision of reactor design and control strategy, and reduces the research and development risk.

This application provides a hardware-in-the-loop (HIL) testing method and apparatus based on infinite data loop playback, comprising: acquiring a data sequence group for hardware-in-the-loop testing; determining the warm-up window, data offset time, and loop start time of the loop playback sequence to be constructed based on the data sequence group and the hardware-in-the-loop testing system, wherein the loop start time is the timestamp of the last frame data of the last data sequence in the data sequence group that has been replayed; constructing a loop playback sequence based at least on the data sequence group, the warm-up window of the loop playback sequence, the data offset time, and the loop start time; inputting the loop playback sequence into the hardware-in-the-loop testing system for data loop testing processing of the domain controller under test, and obtaining test results. This solves the problem that existing HIL testing data backfeeding schemes have limited backfeeding data volume, which cannot meet the requirements of long-term continuous testing.

The present invention relates to a method for preparing and / or performing a simulation of an energy storage device or parts thereof by means of a hardware-in-the-loop simulator. The present invention furthermore relates to a measurement module, a simulation module and a hardware-in-the-loop simulator.

The application discloses a hardware-in-the-loop automatic testing method, a Robot- Framework testing framework and a loop simulation platform, and relates to the technical field of testing methods. The hardware-in-the-loop automatic testing method comprises the following steps: based on the Robot- Framework testing framework, a test suite of a measured controller of a vehicle is created, wherein the test suite corresponds to a subfunction of the measured controller; based on the Robot- Framework testing framework, an execution action of the test suite is called; based on the Robot- Framework testing framework, a test report of the measured controller is generated according to the execution action of the test suite; and the test report of the measured controller is output. The method can effectively improve the testing efficiency of the measured controller and the development efficiency of the test suite, and the generated test report has a clear structure, is easy to understand and has high readability.

This invention discloses a target tracking test method for wireless detection devices based on multi-dimensional dynamic scenarios, belonging to the interdisciplinary field of target detection and artificial intelligence. The method includes: Step 1, generating a high-fidelity target tracking dynamic scenario through hierarchical modeling; Step 2, generating structured test data based on a parameterized space; Step 3, performing multi-dimensional performance evaluation on a verification platform: inputting the generated I / Q data into the algorithm under test deployed on the platform, and calculating five types of indicators in real time; Step 4, dynamically optimizing the test scenario based on the evaluation results. This invention addresses the shortcomings of existing technologies in dynamic scenario reproduction, algorithm evaluation dimensions, and hardware-in-the-loop verification by constructing a configurable electromagnetic environment model, a multi-dimensional evaluation indicator system, and a hardware-in-the-loop verification architecture, thereby quantitatively evaluating the real-world capabilities of algorithms in complex dynamic environments.

This invention relates to a real-time simulation method and system for large-scale cascaded H-bridge applications with full-detail modeling. The method involves equivalently partitioning the topology of the large-scale cascaded H-bridge system into several equivalent circuits, replacing the partitioned cascaded H-bridge topology with controlled voltage sources, and measuring the current of the controlled voltage sources as feedback. The entire main grid circuit is replaced by a controlled current source, and its voltage is measured as feedback. Circuit breakers are added to the main circuit topology, and bypass switches are added to the cascaded H-bridge topology. A logic control program is designed to control the on / off state of each switch. The partitioned equivalent circuits run in the FPGAs of each simulator, and the logic control program runs in the CPU of the simulator. The simulators interact with each other via fiber optic communication. Compared with existing technologies, this invention can achieve accurate simulation of various operating conditions of large-scale cascaded H-bridge systems and realize hardware-in-the-loop testing of controllers with full physical I / O interaction for large-scale cascaded H-bridge applications with full-detail modeling.

The application discloses a multiplexing CAN communication method based on a hardware-in-loop test system, and according to the communication principle of multiplexing messages, the method converts data, which cannot be recognized or directly used by original HIL test equipment, into intermediate data states through a preset DBC file conversion mode on the basis of the HIL system, thereby providing feasibility for subsequent processing and signal receiving and sending. Specifically, according to the signal receiving and sending process, the data on the CAN bus is converted and associated with simulation data, correct message analysis and sending are realized, and the whole hardware-in-loop test system can be correctly operated. The application effectively solves the pain point that mainstream test platforms have poor support for multiplexing CAN messages, realizes multiplexing message receiving and sending on the test platform of this type, and reliably establishes communication between the hardware-in-loop test cabinet and a real controller under test, so that a series of related tests can be normally applied.

This application relates to a hardware-in-the-loop testing method for a wind power converter controller, comprising: creating a simulation project on a host computer based on the RT-LAB platform, importing and splitting the Simulink model into multiple subsystems, connecting the lower-level OP5700 computer to the controller via a DB37 interface, and configuring various I / O channels; compiling the model and downloading it to the lower-level computer, setting it to hardware synchronization mode to start real-time simulation; during the simulation, monitoring signals in real time and automatically performing high and low voltage ride-through tests and waveform recording on the host computer; pausing and resetting the simulation after the test, extracting the waveform recording data, and using the waveform analysis tool MATLAB for waveform analysis and controller performance evaluation. This method achieves standardization and automation of the testing process, effectively improving testing efficiency, reliability, and consistency of results, and supports closed-loop verification and quantitative evaluation of the controller's dynamic performance.

The present document relates to a method for verifying multiple simulation models for a collision avoidance (CA) function, and a system therefor. The proposed simulation model verification method includes: performing software in the loop simulation (SILS) in which simulation of a CA functional module is performed; performing integrated SILS in which an integrated test between the CA functional module verified through the SILS and another module is performed; and performing hardware in the loop simulation (HILS) in which an integrated module verified through the integrated SILS is verified in an actual ship operating environment.

The application discloses a kind of multilevel collaborative prototyping design method, system and readable storage medium of aircraft energy management strategy, belong to avionics electrical design field.The method includes S1 offline simulation modeling and preliminary verification, and establishes and verifies the initial simulation model including multiple systems and energy management strategy;S2 model segmentation and real-time closed-loop verification, the initial model is segmented into controlled object model and control strategy model, and is deployed to different real-time simulation target mechanism to build the first closed-loop verification environment for testing and cross-level result comparison;S3 strategy optimization and hardware-in-the-loop verification, the optimized strategy code is deployed as prototype controller, and the second closed-loop verification environment is built for final verification with real or high-fidelity simulation physical aircraft system.The application realizes the efficient and reliable iteration of control strategy from virtual design to physical integration through hierarchical progressive verification process connected by data link, significantly reduces physical verification risk and cost, shortens development cycle and improves confidence.

The application provides a cross-platform controller hardware-in-the-loop test method, device and system. The method comprises the following steps: obtaining configuration information, wherein the configuration information comprises identification information of a target device; the target device is used for testing a to-be-tested controller; determining a target communication protocol corresponding to the target device and a target application program interface corresponding to the target communication protocol according to the identification information; sequentially reading content information in each test case, and generating a test signal corresponding to the currently read content information; and sending the test signal to the target device based on the target communication protocol and the target application program interface; the test signal is used for instructing the target device to test the to-be-tested controller. The present scheme can realize compatibility of different devices and improve the efficiency of hardware-in-the-loop test.

This invention relates to the field of agricultural machinery testing technology, specifically to a dynamic loading test system and method for a hybrid tractor drive wheel test bench. The test system includes a physical test bench subsystem, a virtual simulation subsystem, and a model predictive controller as the central coordinating unit. The controller integrates a predictive model with the optimization objectives of minimizing equivalent fuel consumption, stabilizing battery state of charge, and minimizing tracking error. It synchronously solves and outputs torque distribution and loading torque commands in each control cycle, achieving real-time coordinated optimization of power output and dynamic load. By deeply integrating virtual working conditions, power distribution, and dynamic loading through model predictive control, complex field conditions such as plowing impact and hill driving can be reproduced with high fidelity, significantly improving the hardware-in-the-loop testing realism, verification efficiency, and safety of hybrid tractor energy management strategies.

The application discloses a kind of test case automatic generation method and system for vehicle controller hardware-in-the-loop test, belong to the field of automobile electronic testing technology.To solve the problem of low efficiency of test case writing, rely on manual experience and unstable problem of directly using large language model to generate results, the generation process is divided into three steps of function list generation, test scheme generation and test case file generation in series: first, input the function specification text and operating environment information into the first large language model to generate the atomized function list, then input the test behavior library and test scheme generation method library into the second large language model to generate the test scheme, finally input the test behavior implementation step library and test case writing rules into the third large language model to generate the atomized test step and convert it into a bench executable test file.The application is used for the automatic generation of test cases for vehicle controller hardware-in-the-loop test, and can efficiently and reliably realize end-to-end automatic generation.

This invention relates to the field of automated training technology and discloses an intelligent teaching and training service system, including a host computer terminal, an industrial control terminal, a hardware-in-the-loop fieldbus gateway, and physical actuators. The host computer terminal generates a mapping dictionary and sends it to the hardware-in-the-loop fieldbus gateway. The gateway extracts uplink messages, calculates the system energy integral value, corrects the basic safety constraint matrix, and generates a dynamic constraint matrix. The gateway intercepts downlink messages, predicts the physical state vector, and overwrites the message when it exceeds the safety range, sending it to the physical actuator. It also sends an anomaly tracing feedback message in conjunction with the mapping dictionary. This invention can intercept abnormal control commands at the underlying hardware level to prevent physical equipment from being damaged by collisions, dynamically shrink the safety boundary based on the real-time energy state of the equipment, and accurately trace underlying control anomalies to training code statements, effectively improving the efficiency of debugging training code and ensuring the safety of the training system.

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

This invention discloses a hardware-in-the-loop simulation testing system and method for vehicle controller testing, belonging to the field of automotive simulation testing. It integrates a hierarchical fault simulation device, which is composed of a software-programmable fault injection unit and a physical disconnection intervention unit (BOB box), supporting composite fault simulation of automated software fault injection and manual physical disconnection intervention. The method includes: achieving one-click rapid integration of the Simulink simulation model into the VeriStand platform through specific interface replacement and compilation configuration; using TestStand to orchestrate automated test sequences; and using dedicated plugins to collaboratively control the VeriStand project and the hierarchical fault simulation device to complete the fully automated execution and evaluation of the test process. This invention significantly improves the coverage depth and scenario realism of fault testing, drastically shortening the complex testing cycle from several months to less than 72 hours, achieving safe, efficient, and comprehensive VCU hardware-in-the-loop verification.

This invention discloses a robust control method for air spring suspension based on adaptive event triggering. The method first constructs a quarter-vehicle air spring suspension dynamic model considering nonlinear gas flow, actuator saturation, and time-varying time delay, and uses a generalized fuzzy hyperbolic tangent model (GFH) to approximate the nonlinear force of the air spring with arbitrary accuracy. Secondly, an adaptive event triggering mechanism (AET) is designed, which significantly reduces the solenoid valve switching frequency and the burden on the vehicle network communication by dynamically adjusting the trigger threshold. Furthermore, based on Lyapunov stability theory and a robust H∞ control framework, an adaptive event triggering robust H∞ neural network controller (AET-RNNC) is proposed, ensuring the asymptotic stability of the closed-loop system under multiple constraints and meeting the preset H∞ performance index. Finally, the method is verified through AmeSim-Simulink co-simulation and hardware-in-the-loop (HIL) real-time experiments: during the height adjustment process from 80 mm to -50 mm, the steady-state error is less than ±3 mm, the number of solenoid valve triggers is reduced by more than 68% compared to traditional time triggering, and the root mean square value of the vehicle acceleration is reduced by 18.7%. This method significantly improves the adjustment accuracy, ride comfort, and lifespan of key components of electronically controlled air suspension. It is particularly suitable for passenger cars, commercial vehicles, and rail vehicles, and has high engineering practical value and mass production potential.

The application discloses a vehicle testing method and device, wherein the vehicle testing method comprises the following steps: obtaining hardware parameters of a vehicle to be tested; constructing a vehicle dynamics model according to the hardware parameters; constructing a fault mode library of the vehicle to be tested, wherein the fault mode library comprises fault types, trigger conditions and propagation logic between faults; constructing a hardware-in-the-loop testing platform; testing the vehicle to be tested in the hardware-in-the-loop testing platform; and analyzing testing result data; the testing method combines the vehicle dynamics model with the hardware-in-the-loop testing platform, is applicable to different environments, has a short testing period and high efficiency, the fault testing does not damage the vehicle, the testing cost is low, in addition, the fault mode library with the propagation function is constructed, real vehicle fault simulation is realized, and the testing credibility is improved.

This invention relates to a data-driven method and testing system for generating simulation scenarios of autonomous driving. The method includes the following steps: Step S1, data primitiveization processing; Step S2, constructing and training an autonomous driving test scenario simulation generation model based on primitive prediction and graph attention mechanisms; Step S3, multi-agent scenario generation simulation evaluation. The system evaluates the quality of the generated simulation scenarios from three aspects: trajectory accuracy, kinematic feature realism, and zero-shot generalization ability across datasets. The system adopts a modular design, enabling comprehensive evaluation of simulation scenario quality and testing effectiveness. The testing and verification module integrates software-in-the-loop (SIL) and hardware-in-the-loop (HIL) testing capabilities to complete the full-link performance verification of the system. This invention can significantly improve the realism and cross-scenario adaptability of simulation scenarios, effectively reduce trajectory prediction errors and traffic participant collision rates, and provide efficient and reliable technical support for the research, testing, and iterative verification of autonomous driving algorithms.