288 results about "Body dynamics" patented technology

The invention provides a fan system multi-physics field coupling simulation and modeling method and device, and the method comprises the steps: building a coupling simulation frame of an electromagnetic field, a temperature field, a flow field and a structural mechanical field through multi-physics field collaborative modeling, employing a finite volume method FVM and multi-body dynamics MBS for collaborative solving, and precisely simulating the dynamic response of a fan under a complex working condition. And real-time simulation and verification: combining an S CADA system and a machine learning algorithm to realize online calibration and dynamic verification of a multi-physics field model, and supporting fan structure stability prediction under extreme conditions of typhoon, turbulence and the like. A multi-physics field coupling simulation software environment is developed, the functions of wake effect analysis, fan array layout optimization and the like are provided, the construction cost of an offshore wind field is reduced, and the power generation efficiency is improved.

The invention discloses a covariance self-adaptive control method for a quadruped robot for spine joint adjustment. The method comprises the following steps that 1, a spine quadruped robot kinematics model with spine joints, a robot trunk dynamics model with the spine joints and a robot leg multi-rigid-body dynamics model are established; 2, based on the energy stability margin theorem and the spine joint coupling effect, a posture control method of the spine joint quadruped robot is provided by combining a covariance self-adaptive evolutionary strategy, and the angle, rigidity and damping coefficient of spine joints are estimated and adjusted according to the terrain gradient; 3, extracting the spatial relationship between the trunk mass center and the foot ends of the robot as an expected reference, updating the expected mass center position in real time, and constructing a model prediction control method to control the posture of the spinal joint quadruped robot; 4, the position of the foot falling point of the swing leg is designed in advance in combination with the additional freedom degree provided by the spine joint and MPC prediction state information. The motion stability of the robot in the complex terrain is improved.

The invention belongs to the field of robot motion control, and discloses an online generation and control method and system for whole-body coordinated walking motion of a humanoid robot, a computer readable storage medium and a computer program product. According to the method, in walking motion generation, a whole-body walking motion track including upper body joint motion information is generated in real time by adopting a whole-body kinematics-centroid dynamics model; a model predictive control model is adopted to realize organic combination of motion trail generation and real-time tracking control; and solving the model prediction control model, and taking the optimal state x * and the corresponding control input u * as the input of whole body control. According to the method, in the planning stage, namely the whole-body walking motion trail including upper body joint motion information, the whole-body dynamic characteristics of the arms, the waist and the like are comprehensively considered, and a new method of long-time-domain trajectory optimization and online control is combined, so that real whole-body coordinated walking is fundamentally realized.

The embodiment of the invention provides a dexterous hand control method and device, an intelligent agent and a storage medium, and the method comprises the steps: obtaining sensor data, preprocessing the sensor data, obtaining input information which comprises environment information and state information of a dexterous hand, inputting the input information into a cerebellum model, and obtaining a corresponding control instruction, the cerebellum model comprises a trajectory planning model and a motion controller, the trajectory planning model is used for outputting a corresponding trajectory planning result according to the input information, and the motion controller is used for converting the trajectory planning result into a corresponding control instruction; the motion controller is obtained by combining a cerebellum model neural network and a whole body dynamic model based on a model predictive control algorithm, and performs driving control on an execution mechanism module of the dexterous hand according to a control instruction. According to the dexterous hand control method provided by the embodiment of the invention, the control flexibility and accuracy can be improved.

The invention belongs to the technical field of multi-body dynamics analysis, and discloses a wind driven generator transmission chain rigid-flexible coupling multi-body dynamics analysis method based on dynamic mode decomposition, and the method comprises the steps: firstly, enabling multi-degree-of-freedom time series data to be non-linearly embedded into a high-dimensional feature space through an encoder neural network; extracting a dominant mode by utilizing intrinsic orthogonal decomposition (POD), and constructing a low-dimensional feature space; parameterized dynamic mode decomposition and radial basis function regression are adopted, a mapping relation between system parameters and Koopman operators is established, and accurate prediction of dynamic characteristics under variable working conditions is achieved; and finally, reconstructing a physical response through a decoder, and optimizing model parameters in combination with an error driving mechanism. The problems that a traditional method is low in calculation efficiency, poor in nonlinear adaptability and difficult in multi-parameter coupling prediction are effectively solved, the efficiency and precision of transmission chain dynamic analysis are remarkably improved, and reliable technical support is provided for state monitoring and service life prediction of the wind turbine generator.

A multi-body dynamics simulation method, system, device and medium for a chain system, the method comprising: acquiring a connection relationship among a plurality of target components in the chain system, a structure parameter, a space environment parameter and a task parameter of each target component, and a physical property of a lubricating medium of the chain system under the space environment parameter; correcting the structure parameter of each target component based on the space environment parameter to obtain a target structure parameter; based on the target structure parameters and the connection relation, determining friction characteristic indexes and motion freedom degrees among the multiple target assemblies; constructing a lubrication-volatilization-friction coupling matrix among the plurality of target components; constructing a multi-body dynamic model according to the target structure parameters and the lubrication-volatilization-friction coupling matrix; and acquiring a rotating speed fluctuation curve and load torque data corresponding to the task parameters, and inputting the rotating speed fluctuation curve and the load torque data into the multi-body dynamic model to obtain a dynamic simulation result of the chain system. The reliability of multi-body dynamics simulation of the chain system can be improved.

The invention relates to the technical field of mechanical transmission, in particular to a reinforcement learning compensation method and system for gear multi-body dynamics constraint, and the method comprises the steps: building a multi-body dynamics digital twinborn model containing bearing rigidity and gear meshing force; constructing an adaptive reward function based on nonlinear manifold mapping, and dividing a system state space into a small deviation domain and a large deviation domain according to an angle deviation threshold value; training the multi-body dynamic model based on a depth deterministic strategy gradient algorithm to obtain a compensation strategy; the obtained compensation strategy is applied to a multi-body dynamic model, and an optimal compensation signal is obtained through self-adaptive fusion of static compensation and dynamic compensation, so that the training efficiency of a reinforcement learning algorithm in a complex nonlinear system is improved, the adaptability of the system to working condition changes is enhanced, the vibration of a gear system is remarkably reduced, and the reliability of the system is improved. The angle control precision is improved, and the service life of equipment is prolonged.

The invention relates to the technical field of rehabilitation medical treatment, and discloses a muscle group stress analysis method and device, a terminal and a storage medium, and the method comprises the steps: respectively obtaining motion data collected by inertial measurement units arranged on the body of a user, and recognizing gait events based on the motion data corresponding to the inertial measurement units of the lower limbs, dividing the continuous motion data into a plurality of gait cycles according to the gait event; fusing the motion data acquired by each inertial measurement unit to obtain a three-dimensional posture of each preset segment of the body, and constructing a three-dimensional motion track of the spine area of the user in combination with a human kinematics chain model; processing the three-dimensional motion track and the known muscle group stress data by adopting a singular value decomposition embedding regression method to obtain a preliminary target muscle group stress curve of each gait cycle; and correcting the initial target muscle group stress curve based on a human body multi-rigid-body dynamic model in combination with a control cost function to obtain a final target muscle group stress curve.

The invention discloses an integrated fan pneumatic-hydrodynamic-servo-elastic-plastic coupling analysis system and method, and belongs to the technical field of offshore fan numerical simulation calculation. According to the method, a coupling model of an offshore wind turbine under the environment load effect is established, a rotor cabin assembly is simulated through a multi-body dynamics method, and interaction of a supporting structure and pile soil is simulated through a finite element method. By introducing a prediction correction loose coupling algorithm, joint simulation between a multi-body system and a finite element system is realized. The method is not only suitable for coupling dynamic response analysis of the offshore wind turbine under the action of conventional wind wave load, but also suitable for elastic-plastic coupling analysis of the offshore wind turbine under the action of extreme typhoon load or earthquake load. In addition, the method not only can be used for coupling analysis of the offshore wind turbine of a traditional steel supporting structure, but also is suitable for integrated coupling analysis of the wind turbine of a novel steel-concrete structure on land or on the sea.

The invention discloses a three-dimensional fluid-solid coupling simulation method and device for a rod falling behavior of a control rod drive line, and relates to the technical field of simulation of the rod falling behavior of the control rod drive line. Fluid boundary updating in the rod falling process of the control rod is processed through a structural grid and dynamic grid layer laying technology on the basis of computational fluid dynamics and multi-body dynamics theories; a modal synthesis method and a Hertz contact model are adopted to solve the problems of flexibility and contact friction of a large-length-diameter-ratio moving part, key factors including fluid resistance and mechanical friction resistance influencing rod falling simulation accuracy are calculated, fluid-solid coupling is achieved through one-way data transmission, three-dimensional fluid-solid coupling of the rod falling behavior of the control rod drive wire is achieved, and the control rod drive wire rod falling simulation accuracy is improved. The accuracy of a simulation result is improved, the degree of dependence on a prototype test is reduced, and a technical basis is provided for researching the rod falling behavior of the reactor control rod drive wire.

Provided are a planning and control method for a legged robot, an apparatus, a robot, and a storage medium. The method includes: determining, based on the movement state and the swing parameter of each leg at the next moment, a foot-end reference state of each leg, and planning, based on a foot-end dynamic model and a discrete collision model, an impact-aware swing leg trajectory for a leg that starts to swing at the next moment; and performing, based on the movement state, the reference state sequence, and the foot-end reference state, whole-body control on the legged robot, and performing, based on a whole-body dynamic model and the discrete collision model, impact-aware whole-body control for a leg that is a supporting leg in planning but does not touch the ground.

The invention discloses a double-foot wheel-legged robot pose control method and device based on hierarchical cooperative control, a medium and a product, and relates to the field of robot control, and the method comprises the steps that a hierarchical cooperative control framework is constructed; the layered cooperative control framework comprises a balance controller and a whole body attitude controller; the balance controller determines a reference wheel joint driving torque based on a simplified inverted pendulum dynamic model according to the pose information of the upper mass center of the biped wheel-leg robot; the whole-body attitude controller performs optimization control on all joints of the biped wheel-leg robot by adopting an incremental model prediction control algorithm combined with a reference wheel joint driving moment based on a whole-body dynamic model; state information of the biped wheel-legged robot is obtained; according to the state information, a driving torque instruction of each joint is obtained based on a hierarchical cooperative control framework; and driving the double-foot wheel-leg robot to move according to the driving torque instruction of each joint. The precision, robustness and real-time performance of robot motion control can be improved.

The present invention discloses a method and system for real-time monitoring of the wheel-rail matching state and wheel wear of a rail vehicle. The method comprises the following steps: establishing and performing wear simulation processing on a multi-body dynamics model to obtain vehicle wheel wear at different mileages; collecting axle box vibration accelerations of wheels at different wheel wear levels and performing feature analysis on the axle box vibration accelerations, and extracting axle box lateral vibration accelerations from the axle box vibration accelerations as a training data set; calculating that there is a positive relationship between the wheel wear level and the equivalent taper, and using a correlation model to verify that there is a mapping relationship between wheel wear, equivalent taper, and axle box lateral vibration acceleration; constructing a pre-trained spectrum model, and inputting the training data set into the pre-trained spectrum model for feature training to obtain a spectrum model; collecting a set of axle box lateral vibration accelerations as a test data set and inputting the test data set into the spectrum model to obtain the vehicle wheel-rail matching state and wheel wear level under the axle box lateral vibration accelerations.

The invention relates to the technical field of belt conveyor dynamic characteristic research, in particular to a rail type belt conveyor turning section dynamic characteristic simulation method, which comprises the following steps: carrying out stress analysis on a trailer unit and arranging the degree of freedom; establishing an overall coordinate system, a vehicle body coordinate system, a contact coordinate system and a conversion relation; establishing a kinetic equation of the trailer unit; kinetic parameters of the trailer unit are determined; establishing a left and right wheel set motion equation of the trailer unit according to the Hamiltonian principle, and further obtaining a linear second-order differential equation of the trailer unit; and compiling a calculation program by using numerical calculation software, and simulating the wheel-rail vibration characteristics of the trailer unit in the advancing process of the turning section. Based on a multi-degree-of-freedom multi-body dynamics theory, a nonlinear kinetic equation of a belt conveyor system is constructed, and a six-degree-of-freedom motion equation of a trailer unit is analyzed.

The invention relates to the technical field of bearing life calculation, in particular to a transmission bearing installation pre-tightening amount calculation method and system, and the method comprises the steps: S1, building a finite element mesh model of a transmission housing and a shaft through finite element simulation software based on predefined material attributes; the material attributes comprise elastic modulus, Poisson's ratio and thermal expansion coefficient of the transmission shell and the shaft; s2, based on the actual working condition of transmission assembly life simulation analysis, importing the finite element mesh model of the transmission shell and the shaft into a pre-constructed multi-body dynamics simulation model of the transmission shell, and establishing node connection between the finite element mesh model of the transmission shell and the shaft and a transmission part in the multi-body dynamics simulation model; s3, setting a detection object and a design variable, and adopting a preset strategy to obtain a target mapping curve of the detection object and the design variable; compared with the prior art, the optimal relation between the pre-tightening amount and the service life of the bearing can be quickly determined, so that the service life of the bearing is maximized.

The invention discloses a finite element simulation method for motion of a magnetically-driven spiral micro-robot in a fluid environment, and belongs to the technical field of finite element simulation. According to the method, a micro-robot model containing a streamline head and a spiral empennage and a fluid environment are constructed through COMSOL software, a peristaltic flow module and a multi-body dynamics module are integrated through the fluid-solid coupling technology, and a fluid-solid coupling transient motion equation is established. The motion characteristics of the micro-robot driven by a rotating magnetic field are accurately simulated by setting material nonlinear parameters, dynamic self-adaptive grid division and a non-uniform step size solving strategy. A rigid domain motion equation and an open boundary condition are innovatively introduced, speed and acceleration probes are combined for real-time monitoring, and the flow field vortex effect caused by spiral propulsion is captured. According to the method, the simulation error is controlled within 5%, the motion trail prediction precision is remarkably improved, a reliable simulation platform is provided for micro-robot structure optimization and magnetic control strategy design, the experiment cost is reduced, and the research and development period is shortened.

The invention belongs to the technical field of medical treatment, and discloses a surgical robot arm joint torque collaborative optimization and trajectory tracking control method, which comprises the following steps of: dynamically associating a tissue viscoelasticity characteristic with a joint torque through biomechanics-multi-body dynamics coupling modeling to form a'mechanics-injury 'double-constraint mechanism; a damage early warning factor is introduced into the memory enhanced controller, torque output is adjusted in real time when an instrument interacts with a tissue, and traction damage caused by overlarge load of a single joint is avoided; meanwhile, the digital twin system prejudges potential risks in advance, the threat of surgical operation to fragile tissues is reduced from modeling, control to verification of a whole link, and a safety guarantee is provided for operation in a fine surgical area; through staged dynamic weight optimization, target adaptive adjustment of different operation stages is realized; the multi-modal sensing fusion architecture combines flexible sensing and image data, and improves the sensing precision of a complex organization environment.

The invention discloses an unmanned aerial vehicle steering effect analysis method based on wind disturbance, and belongs to the technical field of unmanned aerial vehicle overall design and flight control. Comprising the following steps: 1, constructing a coupling simulation model; step 1.1, constructing a six-degree-of-freedom rigid body dynamic model; step 1.2, integrating control laws; step 2, dynamically injecting a wind disturbance scene; step 3, dynamically evaluating the steering effect and extracting parameters; step 4, carrying out multidisciplinary collaborative optimization; and 5, carrying out closed-loop iteration verification. Dynamic closed-loop test: breaking through traditional static analysis, realizing real-time interactive simulation of wind disturbance-control-steering effect, and accurately capturing nonlinear transient response; multi-source disturbance fusion: discrete gust and continuous turbulence are compositely injected, so that challenges of complex meteorological conditions on steerage are reflected more truly; and cross-domain parameter linkage: through dynamic iteration of pneumatic, control and structural parameters, system performance loss caused by excessive design of a single specialty is avoided.

The invention discloses a wind power tapered roller bearing retainer slip rate calculation model which is simple in structure and can be suitable for various working conditions and structure parameter combinations. A user only needs to input parameters such as the rotating speed of the inner ring, the radial force, the axial force, the inclination angle of the pressing slope surface, the pressing slope depth, the curvature of the pressing slope surface and the pocket gap, and the corresponding slip rate of the retainer can be quickly calculated. The model is verified through multi-body dynamics simulation software, and the result has high accuracy.

The invention discloses a spring operating mechanism cam track real-time adjusting device based on digital twinning, and the device comprises a data obtaining module which obtains real-time data; the digital twin model module establishes a virtual simulation model by using a multi-body dynamic model, and dynamically calibrates the virtual simulation model through real-time data; the cam motion trail optimization module calculates an expected cam motion trail by using an optimization algorithm, and compares the expected cam motion trail with an actual trail to determine a trail error; and controlling the adjusting module to dynamically adjust the compression amount of the spring and the voltage of the electromagnet according to the expected cam motion trail and the trail error. The digital twinning technology is combined, the cam motion track of the spring operating mechanism is optimized, real-time prediction and feedback control are carried out through the virtual simulation model, the electromagnet voltage and the spring compression amount are adjusted, and therefore it is ensured that the cam motion track meets the expected requirement, the system operation precision and stability are improved, and the system reliability is improved. And the debugging time and cost are reduced.

The invention relates to a digital twin modeling method and consistency optimization method of hydraulic forming equipment, and the method comprises the steps: building a digital twin model of the hydraulic forming equipment which comprises terminal forming equipment, a hydraulic driving system and a controller, the digital twin model comprises a multi-body dynamics simulation unit, a hydraulic system simulation unit and a control system simulation unit; operating data of the hydraulic driving system and the terminal forming equipment are acquired through the data acquisition system, and the operating data are input into the hydraulic system simulation unit and the control system simulation unit; the control system simulation unit generates a simulation control signal by adopting feedback control logic based on the operation data and sends the simulation control signal to the controller and the hydraulic system simulation unit; the hydraulic system simulation unit generates a simulation driving signal according to the operation data and the simulation control signal and sends the simulation driving signal to the multi-body dynamics simulation unit, and the multi-body dynamics simulation unit displays the motion condition of the terminal forming equipment based on the simulation driving signal.

The invention provides a service life prediction method and device for an industrial robot RV speed reducer, and relates to the technical field of speed reducer service life prediction.The method comprises the steps that an acceleration load spectrum is determined according to torque and time history data, and multi-stage loads in the acceleration load spectrum are woven into a program block spectrum according to a preset sequence; all levels of loads in the accelerated load spectrum serve as independent working conditions to be applied to the multi-body dynamic model for dynamic simulation, a load and time history curve set of the key weak component is obtained and input to the cumulative damage model for life calculation, the simulated predicted life is obtained, and a damage cloud picture is generated; taking the program block spectrum as a test loading instruction to carry out an RV speed reducer accelerated life test to obtain a test observation life and a physical failure morphology; if the two are in the corresponding preset deviation range, taking the simulated predicted life as the predicted life of the current RV speed reducer; the problems of long test period, high cost and low reliability of a simulation model are solved.

The invention discloses a rigid-flexible coupling multi-body dynamics analysis method based on a new modal flexible body, which comprises the following steps: large-range rigid body motion based on a moving contact elastomer is effectively separated by a floating coordinate description method, and deformation response relative to a floating coordinate system is a result of combined action of a moving contact load and an inertia distribution load. The method can be decomposed into a group of complete superposition of elastic free interface modal responses, and the group of complete elastic free interface modal sets are converted into a combination of a few key global main modals and static equivalent interface residual modals, so as to ensure the completeness and convergence of modal characterization of the moving contact elastomer. According to the method, the completeness and convergence of the modal representation of the moving contact body can be ensured, and the model scale can be greatly reduced.

The invention discloses a dynamic performance and bandwidth optimization method for an extensible chassis of a vehicle, and the method comprises the steps: building an extensible chassis multi-body dynamic joint simulation model, obtaining a dynamic performance data set under different chassis configurations, building an extensible chassis dynamic performance high-precision prediction agent model based on an integrated learning algorithm, and carrying out the optimization of the dynamic performance and bandwidth of the extensible chassis. And carrying out optimization solution through a multi-objective optimization algorithm so as to obtain an optimized vehicle chassis structure. According to the method, efficient modeling of the vehicle chassis is achieved based on the extensible chassis multi-body dynamics joint simulation model and based on the architecture characteristics and actual working condition requirements of the extensible chassis, meanwhile, through the extensible chassis dynamics performance high-precision prediction agent model, the dynamics performance prediction precision and generalization ability are improved, and the method is suitable for large-scale popularization and application. And the chassis structure is optimized through a multi-objective optimization algorithm, so that the overall dynamic performance of the vehicle is improved, the optimization efficiency is improved, and diversified optimization requirements of various vehicle model architectures can be met.

The invention discloses a construction ship operation parameter optimization method and system based on the wind wave coupling effect, and belongs to the technical field of construction ships. The multi-body dynamic model comprises a rigid body model constructed based on parameters of a ship body and a hanging object, an elastomer model constructed based on parameters of a hanging rope and a nonlinear spring model constructed based on parameters of a mooring system; the multi-body kinetic equation comprises a translation analysis module and a rotation analysis module based on a rigid body model; the tension analysis module is based on an elastomer model; the nonlinear deformation analysis module is based on a nonlinear spring model; the environment load calculation module is used for firstly calculating the acting force of the environment load on the workboat, and then taking the calculation result as the input of the multi-body dynamic model; the motion response solving module solves the motion response of the multi-body dynamic model through a numerical integration method; the mooring force calculation module calculates tension distribution of each cable based on the motion response and nonlinear characteristics of the mooring system.

The invention discloses a soft air refueling hose-taper sleeve dynamic response process analysis method, and relates to the technical field of airplane soft air refueling process dynamic response analysis. The aerodynamic force of the refueling hose is simulated by loading the aerodynamic force on the refueling hose, the aerodynamic force of the taper sleeve is simulated by loading the aerodynamic force on the taper sleeve, and hose-taper sleeve dragging balance process modeling is carried out on a beam unit of the hose through an absolute node coordinate method. The method comprises the following steps: modeling a hose-taper sleeve system extension release stabilization process through an absolute node coordinate method based on any Euler Lagrangian description, then loading an external force and determining a boundary condition; constructing and solving a hose-taper sleeve drag balance process multi-body dynamics equation set and a hose-taper sleeve release stability process multi-body dynamics equation set, so that the drag balance process and the extension release stability process of the hose-taper sleeve system can be accurately simulated; and the analysis accuracy of dynamic responses such as hose shape change and taper sleeve posture change is improved.

The invention discloses a truck suspension parameter optimization method based on an adaptive optimization Gaussian radial basis proxy model, which comprises the following steps of: 1, constructing a multi-body dynamics simulation model of a truck by using original truck parameters, and determining actually measured data, truck parameters and a modeling theory required for establishing the multi-body dynamics simulation model of the truck; 2, determining key suspension parameters which have obvious influence on the vibration acceleration of the truck by utilizing a VIP method; 3, based on the training data, constructing an AO-GRBF proxy model of the transverse and vertical vibration acceleration of the vehicle body, and searching an optimal key suspension parameter by adopting an NSGA-II genetic algorithm; and 4, based on the actual data of the truck, verifying the effectiveness of the (AO-GRBF) optimization method. According to the optimization method based on the AO-GRBF proxy model, the global fitting precision of the model is effectively improved, and the efficiency and accuracy of suspension parameter optimization are improved.

The invention belongs to the technical field of ocean new energy, and provides an anchor system multi-floating-body array wave flow motion response analysis method and system, and the technical scheme is that a joint simulation method of multi-body dynamics and computational fluid mechanics is adopted to carry out the comprehensive modeling and analysis of a mooring type multi-floating-body array, and the wave flow motion response analysis of the mooring type multi-floating-body array is realized. A universal joint connection structure for platform connection is designed, and an equivalent concentrated mass-spring unit is introduced to simplify modeling of a mooring chain. Joint simulation is implemented in a numerical wave generation and ocean current pool, and hydrodynamic force and structural response of the anchor system multi-floating-body array system under the steady-state ocean current and regular wave conditions is evaluated; the system studies the influence of the size of the floating ball, the weight of the mooring chain and the flow velocity on the hydrodynamic performance and the platform stability. And the performance requirements in a complex marine environment can be better met.

The invention discloses a multi-body system dynamics intelligent modeling calculation system and method based on a natural language, and belongs to the field of overall design of spacecrafts. The problems that in the prior art, when the simulation requirement related to extreme working conditions and strong nonlinear coupling is met, the period is long, manual experience is relied on, and the maintenance cost is high are solved. The system comprises a text segmentation embedding unit used for carrying out text segmentation embedding processing on a multi-body dynamics knowledge base and constructing a vectorized dynamics knowledge context; the large language model unit is used for receiving natural language task description input by a user, performing semantic understanding through LLM (Logistics Language Model) and generating a task analysis result according to dynamic knowledge context learning; and the task processing unit is used for classifying the tasks into inquiry tasks, command and control tasks or construction tasks according to the task analysis result, and calling corresponding modules according to LLM and MCP technologies. The method is used in the field of multi-body system dynamics modeling of spacecrafts.

A high-speed deep groove ball bearing crown-shaped retainer strength analysis method relates to the technical field of bearing dynamic modeling analysis, and comprises the following steps: 1, obtaining initial conditions of a bearing, and establishing a bearing coordinate system; 2, establishing a flexible retainer carrier of the bearing; 3, analyzing the motion relation among the parts in the bearing, and calculating the relative speed and acceleration of each part; 4, analyzing interaction force among the parts of the bearing; 5, establishing dynamic differential equation sets of the parts in the bearing, including a rolling body dynamic differential equation set, a retainer dynamic differential equation set and an inner ring dynamic differential equation set; 6, solving a bearing dynamic differential equation set by utilizing a Gstiff variable step size integral algorithm according to a bearing dynamic theory; and 7, judging whether a calculation result of the bearing dynamic differential equation set meets a convergence error or not. By applying the method, the elastic characteristics of the crown-shaped retainer can be considered, a bearing dynamic analysis model is established, and the stress of the retainer is accurately analyzed.