395 results about "Simulation control" patented technology

The invention relates to the technical field of manufacturing process control, and discloses a multi-dimensional process data co-simulation control method and system and a storage medium. The method comprises the following steps: firstly, collecting a multi-dimensional process parameter set of a plurality of process equipment in a manufacturing production line, carrying out cross-dimensional feature extraction, and generating a comprehensive feature matrix containing a time sequence feature, a spatial distribution feature and an energy consumption feature; according to feature relevance of different dimensions in the comprehensive feature matrix, a process parameter dynamic coupling model is constructed, co-simulation is carried out on interaction between process equipment, and a process state evolution sequence is output; extracting abnormal fluctuation characteristics in the sequence, and generating a process parameter adjustment instruction set; and finally, according to the adjustment instruction set and real-time process feedback data, dynamically correcting model simulation parameters, generating an optimized process control strategy, and executing the optimized process control strategy. According to the method, collaborative analysis and dynamic control of multi-dimensional process parameters are realized, and the accuracy and adaptability of process control are improved.

The invention relates to the technical field of artificial intelligence processing, in particular to a manufacturing and processing system based on artificial intelligence simulation control parameters. According to the manufacturing and processing system, three-dimensional space-time coding is carried out on vibration, temperature and deformation time-varying signals through a multi-mode sensing module; generating a composite feature body including an equipment rigidity distribution matrix, a thermal deformation gradient vector and a material residual stress tensor, and solving the problems of spatial-temporal asynchronization and physical field feature splitting of multi-source data; the parameter resolving module constructs a parameter incidence matrix based on a fractal neural network, combines dynamic constraint conditions of thermal deformation gradient vectors, performs multi-objective optimization on a rigidity distribution matrix and residual stress tensor, generates an initial parameter solution set for eliminating time-lag deviation, and breaks through the nonlinear coupling optimization bottleneck of a traditional static model; and the state dissociation module calls a historical wear feature library to construct a performance attenuation reference surface, and tool accumulated wear and instantaneous thermal deformation disturbance are synchronously inhibited through convolution operation and projection correction of a dynamic compensation factor.

The invention relates to the technical field of flight simulation control and precision measurement, provides a precise positioning method, system and device for a three-dimensional adjustable connecting piece of a flight simulator and a storage medium, and solves the problems of flight simulation control and precision measurement. The method comprises the following steps: acquiring the real-time stroke length of a motion control rod, rotation angle change data and a connecting piece vibration image, outputting a displacement prediction parameter through a platform kinematics model, and generating three-dimensional point cloud data; performing sub-pixel identification and distortion compensation on the image through a mark point identification algorithm to generate a three-dimensional visual coordinate; fusing the point cloud and the visual data, and processing through a Kalman filter to obtain a space pose offset; finally, a displacement compensation instruction is generated, the pose of the connecting piece is adjusted through a closed-loop controller, and accurate positioning of the connecting piece relative to a flight target reference coordinate system is achieved. According to the invention, the accuracy and stability of the pose control of the connecting piece in the dynamic vibration environment are improved.

The invention discloses a numerical simulation method for an avalanche impact protection structure based on bidirectional coupling, and relates to the technical field of mountain disaster protection, and the method comprises the steps: modeling and initializing an avalanche material source: employing a discrete element theory to simulate an avalanche process, and achieving the whole-process dynamic simulation and reproduction of an avalanche disaster from the starting to the movement to the impact protection structure; protection structure modeling and parameter setting: modeling an avalanche protection structure based on a universal finite element simulation platform; discrete element-finite element contact coupling setting: solving unit stress and strain data; numerical simulation control and solution; impact response extraction and result analysis: performing systematic analysis on the structure response and impact characteristics to evaluate the dynamic performance and safety margin of the structure under the action of avalanche impact; the method can be used for predicting the impact effect of the avalanche disaster on the downstream structure, and provides a theoretical basis and technical support for design and performance evaluation of a protection structure.

The embodiment of the invention relates to the technical field of robots, and discloses a demonstration method and system for a humanoid robot based on vision, and the method comprises the steps: obtaining a human body demonstration image of a demonstrator in a current scene through a camera assembly; recognizing and analyzing the continuous frames of human body teaching images to obtain human body key point coordinates in each moving stage, and calculating to obtain a joint motion state of each control joint of the corresponding robot; and generating a simulation control instruction of each joint of the humanoid robot according to the joint motion state of each control joint, and sending the simulation control instruction to the corresponding humanoid robot for action simulation. According to the demonstration method of the humanoid robot based on the vision, the human body demonstration image of the demonstrator is obtained through the camera assembly, the demonstrator does not need to wear complex sensor equipment, and the demonstration cost and the operation difficulty are reduced.

The invention provides a municipal heat supply pipe network working condition twinborn modeling method, system and device and a medium. A pipe network twinborn model is constructed; according to the correlation coefficient matrix of the working condition response characteristics between the monitoring nodes and the pipe network structure parameters of the monitoring nodes, determining the boundary constraint quantity of the position of each monitoring node under the variable working condition; extracting temperature-pressure-flow coupling response characteristics of each monitoring node in the pipe network twinborn model under the variable working condition, and further determining the coupling response loss of twinborn modeling simulation under the variable working condition; and constructing an error cost function of pipe network twinborn simulation according to all the boundary constraint quantities and the coupling response loss, performing parameter optimization on model parameters of the pipe network twinborn model in combination with the error cost function to obtain optimal model parameters suitable for variable working conditions, and updating simulation control parameters of the pipe network twinborn model based on the optimal model parameters. By means of the scheme, cost optimization of simulation parameters in twin modeling of the municipal heat supply pipe network under the variable working conditions can be achieved.

The invention particularly relates to a discharge machining simulation control system for a nuclear power plant in a high-radiation boron-containing water environment, which belongs to the technical field of special maintenance in the high-radiation environment of the nuclear power plant and comprises a man-machine interaction system, a discharge machining control system and subsystems. Each subsystem comprises a pulse power supply system, a servo power system, a washing system, a purification system, a grounding system and a tool system; the man-machine interaction system is used for man-machine interaction and displaying the discharge machining implementation data fed back by the subsystems; the electric discharge machining control system is used for generating an electric discharge machining instruction according to the man-machine interaction information and controlling the subsystems to cooperate to perform electric discharge machining work; and each subsystem is used for implementing electric discharge machining work according to the electric discharge machining instruction and feeding back electric discharge machining implementation data. According to the invention, simulation control of discharge processing in the high-radiation boron-containing water environment of the nuclear power plant is realized.

The invention discloses a power supply and distribution control system based on a virtual power plant, and relates to the technical field of power distribution systems. The system comprises five core modules: a digital twin simulation control closed loop module constructs a complete closed loop of data acquisition, simulation calculation, control execution and model iteration, and realizes real-time synchronization of a physical system and a digital mirror image and accurate issuing of a control instruction; the multi-agent source-load-storage optimization module improves the source-load-storage collaborative scheduling efficiency through distributed agent collection and reinforcement learning; the multi-scene energy storage adaptive control module generates a scene-based energy storage strategy based on meteorological, load and electricity price multi-dimensional perception and model prediction control; and the multi-type energy storage ratio linkage module realizes multi-type energy storage cooperative operation based on an energy storage characteristic database and scenarized weight optimization. All the modules work cooperatively, the system response speed, the control precision and the power supply stability are effectively improved, and the system is suitable for industrial parks and other complex power supply and distribution scenes.

The invention provides a method and a system for acquiring a simulation control point for surveying and mapping, and a medium, and is applied to the technical field of surveying and mapping. The method comprises the following steps: acquiring airborne GNSS positioning data acquired by an airborne GNSS, IMU measurement data acquired by an IMU, original point cloud data, acquired by a three-dimensional laser scanner, of a ground terrain of a measurement area, and reference station GNSS positioning data acquired by a ground reference station GNSS; determining flight path data of the unmanned aerial vehicle according to the airborne GNSS positioning data, the IMU measurement data and the base station GNSS positioning data; performing space-time registration on the flight path data and the original point cloud data to obtain point cloud registration data of the ground topography of the measurement area; and extracting ground points from the point cloud registration data to obtain a simulation control point set of the measurement area. Based on the scheme, the topographic surveying and mapping efficiency and precision can be improved.

The invention relates to the technical field, and discloses an intelligent management method and system for oxygen inhalation, and the method comprises the steps: setting an oxygen flow mixing ratio and a quantitative parameter according to an expected treatment effect, and setting a simulation control for an operator to adjust the oxygen flow mixing ratio in real time; a plurality of sensors are connected to a main controller, data acquisition and state monitoring are carried out through the sensors, and oxygen flow acquisition and air mixing proportion are quantitatively displayed and charged; an air-oxygen proportional electromagnetic valve is arranged, a main controller receives a starting instruction, the air-oxygen proportional electromagnetic valve is controlled according to data collected by a sensor, the flow of mixed gas flowing through the proportional valve and the oxygen proportion are accurately controlled, and remote flow control and program control over oxygen supply are achieved. By means of the method, an intelligent management system for oxygen inhalation is achieved, the whole machine is easy to operate through intelligent control, it is guaranteed that the oxygen flow is adjusted in real time according to the needs of a patient, and the dynamic needs are kept consistent.

The invention relates to the technical field of environment adaptability testing, and discloses an identification key performance comprehensive environment adaptability testing system. The system comprises a multi-environment factor acquisition and processing module for acquiring data and performing normalization preprocessing; the environment scene dynamic modeling module is used for constructing a multi-dimensional association graph and updating a topological structure; the performance index evaluation module evaluates a performance degradation index in a composite environment by means of a spatial-temporal feature fusion algorithm; the failure mode prediction module is used for generating a potential failure mode under multi-environment coupling according to the performance degradation trend and the stress accumulation effect; the environment tolerance analysis module is used for integrating data to establish a virtual model and outputting a tolerance residual error of a specific environment section; the test scheme optimization module is used for generating a self-adaptive test sequence according to the residual error and the map; and the environment scene simulation control module is used for regulating and controlling parameters of the test cabin in combination with multiple information. The system can comprehensively and accurately evaluate the performance and endurance capability of equipment in a composite environment, and has a dynamic adjustment characteristic.

The embodiment of the invention provides a pipeline inner wall spraying simulation control method and device based on digital twinning, and the method comprises the steps: importing a guide rail model and a motion mechanism model into offline programming software, configuring a kinematic pair, and constructing a virtual scene corresponding to an actual pipeline inner wall spraying production line based on a digital twinning technology; importing a pipeline three-dimensional model, configuring workpiece parameters, and calibrating coordinate data; identifying the boundary of a spraying area on the inner wall of the pipeline, and determining the spraying range; an initial spraying track is generated, parameters are adjusted according to boundary conditions, and the track is optimized; configuring spray gun parameters, importing a flange plate and a spray gun model, and completing basic tool configuration; a tool model is imported, tool parameters are configured, spraying parameters are configured based on the sampling data, and a spraying tool is obtained; according to the embodiment of the invention, simulation is carried out based on the virtual scene, the optimized track and the spraying tool; and presenting the simulation effect in a three-dimensional visualization manner in real time. Spraying track optimization, parameter dynamic matching and real-time visualization of the spraying effect are achieved.

The invention discloses a truss robot rehearsal control method based on digital twinning, and the method comprises the following steps: S1, constructing a truss robot digital twinning system, including constructing a truss robot virtual scene and constraint, performing data synchronization and bidirectional communication, and configuring a safety rule base and a data recording / playback interface at a twinning end; s2, rehearsing a task to be executed, generating a reference trajectory and a constraint set, and automatically checking the rehearsing process according to the safety rule base to obtain the reference trajectory and the constraint set which pass the rehearsing; and S3, performing parameterized predictive control and real-time tracking on the rehearsed reference trajectory and the constraint set, and controlling a trajectory tracking error to be within a tolerance range. According to the method, a digital twin system corresponding to the physical world is constructed, Laguerre function parameterized model predictive control is introduced to realize low-dimensional rapid solution, high-precision, reproducible and high-reliability rehearsal control of the truss robot is realized, and the field debugging and operation and maintenance cost is remarkably reduced.

The invention relates to the technical field of thermoelectric magnetic field numerical simulation, in particular to a numerical simulation method for liquid metal flow heat transfer under thermal electromagnetic multi-field coupling. The method comprises the following steps: acquiring metal structure physical parameters and thermal electromagnetic multi-field coupling simulation control parameters of metal to be tested; based on the metal structure physical parameters and the thermal electromagnetic multi-field coupling simulation control parameters, liquid metal thermal electromagnetic multi-field reaction numerical simulation and verification are carried out, and liquid metal thermal electromagnetic multi-field reaction verification data are generated; setting single-factor working condition simulation control parameters; and carrying out working condition simulation liquid metal flow heat transfer global characteristic analysis on the liquid metal thermoelectromagnetic multi-field reaction verification data based on the single-factor working condition simulation control parameters so as to establish a liquid metal thermoelectromagnetic flow heat transfer global characteristic model. According to the invention, comprehensive and accurate analysis of flowing and heat transfer of the liquid metal in the closed cavity under the thermal electromagnetic coupling effect by various factors is realized.

The invention provides a multi-mode adaptive wave simulation control system and method for a deep sleep physiotherapy cabin. Belongs to the technical field of fluid mechanics and health intervention. The method comprises the steps that multi-modal physiological parameter collection is conducted on a user on a deep sleep physiotherapy cabin, a real-time physiological data set is generated, the current sleep stage of the user is deduced through a time-frequency analysis and machine learning model on the basis of the data set, a sleep stage label is generated, a pre-trained wave mode generator is dynamically called according to the sleep stage label, and the deep sleep physiotherapy cabin is obtained. An initial set of wave parameters matching the current sleep stage is generated. By sensing the physiological state of the user in a non-contact mode, deducing the sleep stage and dynamically generating and adjusting the wave modes such as sleep guiding and deep sleep maintaining, water fluctuation accurately adapts to the physiological requirements of the user in different sleep stages, a traditional static wave mode is abandoned, highly-personalized sleep adjusting experience is provided for the user, and the sleep quality is effectively improved.

The invention relates to the technical field of automatic driving vehicle testing, in particular to a rainfall adaptive simulation control method and system for automatic driving vehicle testing. The method comprises the following steps: executing an outdoor rainfall simulation process through control parameters, and collecting behavior information of an autonomous vehicle in the simulation process; constructing a target function according to the deviation between the behavior information and expected information and the control parameters; iterating the strategy parameters by adopting a reinforcement learning framework based on a strategy gradient method and taking minimization of the target function as a target to obtain optimal strategy parameters; obtaining an optimal control parameter according to the optimal strategy parameter and the current rainfall state; and under the optimal control parameters, evaluating the performance boundary of the automatic driving system in the rainfall environment according to the behavior information of the automatic driving vehicle. According to the invention, the rainfall simulation scene with high precision and strong controllability is constructed, and the performance boundary of the automatic driving system in the rainfall scene is explored.

The invention belongs to the technical field of flight control, particularly relates to a simulation control method and device for a control load system and a storage medium, and aims to solve the problem of limited effect during simulation control of the control load system in the prior art. The method comprises the following steps: acquiring manipulation input data; carrying out filtering processing on the joystick force / torque data, and carrying out dynamic simulation on the control load system through a pre-constructed digital twin system based on the filtered joystick force / torque data and the control position data so as to determine a virtual force / torque track of the control load system for responding to the control input data; acquiring current flight parameters of the flight simulator, and resolving according to a preset aerodynamic model to obtain a reference force / torque trajectory; and taking the reference force / torque track as a control target, performing optimization solution on the virtual force / torque track, and determining an actuator driving instruction. According to the method, the effect is better when the control of the control load system is executed.

The invention discloses a metal corrosion testing device and method for simulating a dynamic interface of supercritical CO2 and an aqueous solution, and belongs to the technical field of metal corrosion testing. The metal corrosion testing device comprises a reaction kettle, a temperature control system, a gas control system, a supercritical CO2 / aqueous solution interface simulation control system and an electrochemical testing system, the supercritical CO2 / water solution interface simulation control system comprises an electric push rod, a time relay and a sample holder; one end of the electric push rod penetrates through the kettle cover of the reaction kettle and is connected with the time relay; the time relay is used for controlling periodic reciprocating motion of the electric push rod; the electrochemical testing system comprises an electrochemical workstation and an electrochemical probe; the electrochemical workstation is connected with an electrochemical probe, and the electrochemical probe is arranged on the corrosion exposure experiment sample; the temperature control system is arranged in the reaction kettle, and the gas control system is connected with the reaction kettle. The technical problem that the metal corrosion of the dynamic interface of the supercritical CO2 and the aqueous solution cannot be accurately analyzed in the prior art is solved.

The invention relates to the technical field of unmanned aerial vehicle simulation, and discloses an unmanned aerial vehicle flight state simulation method based on digital twin. The method comprises the steps that a digital twin system comprising a physical unmanned aerial vehicle entity and a virtual simulation model is constructed, and multi-source flight data streams such as position information, motion parameters and environment perception data of the physical unmanned aerial vehicle are collected; and performing multi-dimensional feature fusion processing on the multi-source data to generate a fusion feature representation, and determining a flight state estimation value and related confidence information by adopting a probabilistic state modeling algorithm based on the fusion feature. And updating the virtual simulation model according to the estimated value and the confidence coefficient, so that the virtual simulation model simulates the real-time flight state. Flight state clustering analysis is performed in the virtual model to detect anomalous patterns, and an adaptive simulation threshold set is generated based on historical flight data. And comparing the abnormal mode with the adaptive threshold set, and outputting a simulation control instruction for operation of the unmanned aerial vehicle. The method can effectively support accurate simulation and abnormal control of the flight state of the unmanned aerial vehicle.

The invention belongs to the field of simulation optimization control, and particularly relates to a biomass gas blending combustion parameter optimization simulation control system based on combustion product prediction, and the system comprises an acquisition module which carries out data preprocessing based on multi-source pilot frequency sampling and through frequency division domain adaptive filtering and variable step size gradient descent optimization; the prediction module is used for predicting combustion product characteristic indexes through a mechanism and data driven double-layer fusion model; the control mapping module is used for obtaining a boiler control response parameter set by adopting deep reinforcement learning strategy network analysis under multi-target constraint; and the simulation adjustment module is used for loading control parameters in the digital twin platform, judging deviation based on a dynamic self-adaptive threshold value and triggering closed-loop feedback adjustment. According to the method, the problems of inaccurate pollutant prediction and control lag caused by fluctuation of biomass raw materials are solved, and feed-forward accurate control and closed-loop adaptive optimization are realized.

The invention discloses a digital twinning-based intelligent simulation control system for a power system, and the system comprises a data processing module which is used for collecting and preprocessing the operation data of the power system; the storage mapping module is used for mapping the data to the virtual architecture and generating a twin snapshot sequence; the factorization module is used for executing graph embedding and node decomposition to generate embedding features; the twinning mapping module is used for constructing a twinning mapping network and realizing bidirectional fusion; the simulation modeling module is used for executing health evolution and power flow risk modeling on the GPU to generate a knowledge graph; the strategy solving module is used for carrying out constraint calculation on the knowledge graph and screening an optimal strategy; and the deduction regulation and control module is used for generating a causal path based on graph backtracking and completing closed-loop control. Real-time mapping, intelligent deduction and self-adaptive regulation and control of the power system are realized through digital twin modeling and GPU parallel simulation, and the scheduling precision, the response speed and the operation stability are remarkably improved.

The invention relates to a visual physical simulation training system for power distribution equipment. The system comprises a scene construction module, a state simulation module, an instruction processing module, an interaction response module and a visual rendering module. The scene construction module constructs a simulation power distribution operation environment according to training scene configuration information input by a user, the state simulation module simulates and generates operation state data containing telemetering and telesignalling data based on the environment, and the instruction processing module verifies a user operation instruction in combination with the data and generates a simulation control instruction. The interactive response module updates the simulation environment state according to the instruction, and the visual rendering module renders the running state data to generate a training interface for displaying the dynamic change of the network. By adopting the system, the problems of fixed practical training scene, static state simulation, no operation feedback and poor visualization in the prior art can be solved, and the practical operation training effect of power distribution automation personnel is improved.

The invention discloses an industrial simulation control method and system based on natural language driving, and belongs to the technical field of industrial simulation. According to an existing industrial simulation control scheme, how to transmit simulation parameters into simulation software is not disclosed, and setting of simulation instructions cannot be completed. According to the industrial simulation control method based on natural language driving, a natural language instruction input by a user is analyzed by constructing a simulation language recognition model, an interaction channel creation model and an instruction mapping model, and a simulation driving channel is established between industrial simulation software and the simulation language recognition model; standardized transmission and cross-platform data interaction of data and commands are realized, and instruction transmission and data sharing are facilitated; and further based on the instruction protocol conversion relationship, the operation command is converted to obtain the execution message, so that automatic setting of different software simulation instructions can be realized, the compatibility and integration problems among different simulation platforms are effectively solved, and the user experience is improved.

The invention relates to the technical field of virtual simulation control, in particular to a Factory IO-based metal sorting control system, which comprises a virtual production line construction module, a hardware configuration module, a joint debugging module, a task execution module and a process optimization module. According to the invention, through comprehensive analysis of operation characteristics of the conveyor belt, distribution of detection stations and signal fluctuation, signal characteristics in a material coverage area can be identified in advance, associated extraction and dynamic cooperative adjustment of equipment layout and operation parameters are realized, and through interactive identification of equipment positions, adjustable areas and trigger conditions, the accuracy of the equipment layout is improved. Adjusting points influencing sorting precision are accurately positioned, task loads and priorities are intelligently matched in task execution, efficient allocation and resource optimization of scheduling areas are achieved, scheduling paths and time intervals are dynamically evaluated on the flow level, a continuous and adjustable operation sequence is formed, and sorting efficiency and overall operation performance are improved.

The invention belongs to the technical field of radar test and simulation, and particularly discloses a multimode mixed injection type semi-physical radar target simulation evaluation system and method, which comprises a radar / electronic warfare beam synchronization unit, an injection type radar target simulation evaluation system and a simulation control unit. The system obtains radar real-time beam scanning information through a beam synchronization unit, carries out real-time fusion on the radar real-time beam scanning information and avionics control data from an avionics system test bench, drives an injection type system to generate a simulation radio frequency target containing a sum signal, an azimuth difference signal and a pitch difference signal, and provides the simulation radio frequency target to a radar to be tested in an injection mode. And the simulation control unit is responsible for man-machine interaction, controlling a test process and performing automatic comprehensive evaluation on a simulation result. According to the method, automatic evaluation of dynamic closed-loop simulation, multi-mode seamless switching and high-order tactical indexes can be realized, and the method is suitable for high-fidelity performance verification of a modern radar system.

The invention relates to the technical field of intelligent network connection automobile testing, in particular to a foggy day simulation control method and system for a vehicle expected function safety test, and the method comprises the following steps: S1, setting a target visibility value and a visibility deviation threshold value; s2, acquiring measurement values of a plurality of visibility sensors arranged in the test tunnel along the driving direction in real time, and acquiring a real-time water pressure value of a pressure sensor in a water supply main pipeline of the atomization unit; s3, comprehensively analyzing the measured values of the plurality of visibility sensors, and determining the current average visibility; s4, comparing the target visibility value with the current average visibility, and determining the visibility deviation; s5, executing a hierarchical control strategy according to a comparison result of the visibility deviation and a threshold value; and S6, circularly executing the steps S2 to S5 until the simulation test task is finished. According to the invention, a control logic of closed-loop feedback and hierarchical decision is constructed, and a reliable environment reference is provided for SOTIF testing.

The invention provides a flight environment simulation control system multi-mode simulation method, and belongs to the technical field of aero-engines, and the method comprises the steps: selecting a full-digital simulation experiment or a semi-physical simulation experiment, a running object model and a control model, and the control model comprises a feedforward controller, an active disturbance rejection controller and an extended state observer; the feedforward controller calculates a feedforward control quantity according to an engine speed change rate output by the object model, the extended state observer estimates the total disturbance of the system to obtain an estimated value, the estimated value is fed back to the active anti-disturbance controller, and an initial control quantity is obtained through calculation; superposing the initial control quantity with the feedforward control quantity and the estimated value to obtain a final control quantity, and inputting the final control quantity into a hydraulic regulating valve flow model in an object model; the control parameters of the control model are set through a full-digital simulation experiment, and the set control parameters are optimized through a semi-physical simulation experiment, so that the simulation confidence and efficiency are improved, and the cost is reduced.

The invention discloses a whole vehicle seat controller load simulation method and system, and belongs to the technical field of controller load simulation, and the method comprises the steps: responding to a load simulation instruction, and obtaining simulation control data, the simulation control data at least comprises motor module simulation control data, ventilation module simulation control data, heating module simulation control data and seat motor module simulation control data; based on the simulation control data, a control instruction of a corresponding module is obtained and sent to an upper computer; and obtaining output data sent by the corresponding module, and obtaining a test result based on the output data. According to the invention, comprehensive verification of the control logic of each core module of the seat controller is realized in a stage without an entity module, and the development period of the controller is remarkably shortened; meanwhile, through systematic simulation testing, the potential function matching problem is exposed and solved in advance, and the development efficiency and the reliability of the controller are effectively improved.

The invention relates to a high-altitude cabin air inlet system active-disturbance-rejection control method based on an improved rapid super-spiral sliding mode and differential flatness, and belongs to the technical field of aero-engine high-altitude simulation control. The method comprises the following steps: establishing a high-altitude cabin air inlet system model; according to the established system model, the temperature and pressure coupling control problem is solved by using the differential flatness characteristic of the system; designing an improved rapid super-spiral sliding mode controller for the active disturbance rejection temperature and pressure decoupling control system to obtain an improved rapid super-spiral sliding mode active disturbance rejection temperature and pressure decoupling control system; the improved rapid super-spiral sliding mode active disturbance rejection temperature and pressure decoupling control system generates control input signals according to system temperature and pressure environment parameter output signals. The control input signal is input into the high-altitude cabin air inlet system, the high-altitude cabin air inlet system operates, and temperature and pressure environment parameter output signals are obtained. According to the invention, the problem of strong airflow interference in the rapid transition state test of the high-altitude cabin air inlet environment simulation system can be solved.

The invention discloses a single-motor steering wheel force feedback simulation system and method, and relates to the technical field of automobile simulation driving. The defects in the prior art are overcome. The system comprises a simulation control module, a vehicle state acquisition module, a transmission module, a single-motor driving module and a control unit, wherein the simulation control module is used for acquiring steering wheel angle information; the vehicle state acquisition module is used for receiving real-time state data of a virtual vehicle in a simulation environment; the transmission module is used for converting one-way rotary motion of a motor into multi-dimensional force feedback acting on a steering wheel; the method comprises the following steps: acquiring a steering wheel angle theta and running state data of a virtual vehicle in real time; the mechanical response is delayed as lt; 10ms, the road sense is very real; the pure mechanical transmission path is high in efficiency, only one motor is used, and the peak power consumption is far lower than that of a multi-motor system; the performance of the system does not depend on an extremely complex real-time algorithm or an intelligent material sensitive to temperature, the anti-interference capability is high, and the service life is long.