896 results about "Kinetics" patented technology

The invention relates to the technical field of engineering control, in particular to a hoisting control method of a safe and portable hoisting cage, which comprises a hoisting pre-stage, data pre-acquisition and analysis before hoisting, a hoisting control stage and hoisting landing control. In the prior art, position closed-loop control mainly depends on a stroke encoder and a position sensor, dynamic swing deviation caused by wind disturbance is difficult to accurately pre-judge and counteract in real time, and the defects of control lag and insufficient response exist. According to the scheme, the motion trail and posture of the cage are predicted in advance based on simple pendulum dynamic model numerical solution and the Runge-Kutta method, high-precision deviation detection is carried out in combination with a virtual-real vision calibration technology and AR enhanced display, a cage motion state control model based on feedforward prediction is established, trail prediction errors are greatly compressed, and the accuracy of the motion state of the cage is improved. The forward-looking inhibition of the movement of the cage, especially wind-induced swinging, is realized, and the accuracy and the response speed of an active swinging inhibition measure are obviously improved.

The invention discloses a multi-dimensional aeroelastic calculation method and device based on a nonlinear Euler-Bernoulli beam and a storage medium, and belongs to the technical field of wind turbine aerodynamics, the method comprises the following steps: inputting the stiffness of each section of a blade into a nonlinear Euler-Bernoulli beam equation to obtain a modal-displacement transformation matrix; the rigidity, the weight and the external force of each section of the blade are converted to obtain a generalized rigidity matrix, a generalized mass matrix and a generalized force; starting circulation, substituting into a forced coupling vibration equation, solving modal displacement of each order at the current moment, and inputting into a modal-displacement inverse transformation matrix to obtain blade displacement; the generalized force is substituted into a blade element momentum theoretical formula to solve aerodynamic force at the next moment, the generalized force is updated to obtain updated generalized force, and aerodynamic force at each moment is obtained; and calculating to obtain the multi-dimensional aerobomb. According to the method, the calculation of the blade deformation and the load considers the change of the torsional degree of freedom, and more accurate and more efficient load and deformation calculation can be carried out.

The invention relates to the crossing field of mechanical engineering and automatic control, in particular to a global path planning and anti-swing control method for a ship unloader, and aims to solve the problems of rigid path planning and poor synergism of out-of-control swing of a lifting appliance in traditional ship unloading operation. The method comprises the following steps: constructing a dynamic three-dimensional operation space model with fusion of a laser radar and binocular vision, and updating obstacle information in real time; an improved fast extended random tree algorithm is adopted to generate a high-smoothness initial path; establishing a six-degree-of-freedom lifting appliance swinging dynamic model and identifying parameters on line; path tracking and anti-swing torque are synchronously optimized through a model prediction controller, and the control period is smaller than or equal to 20 milliseconds; and closed-loop feedback correction is implemented by combining an encoder and an inertial measurement unit. According to the scheme, environment dynamic sensing, path-anti-swing depth cooperation and multi-disturbance self-adaptive compensation are achieved, the operation rhythm is improved by 30% or above, the system still operates stably under the 8-level wind condition, and high precision, high robustness and engineering implementability are achieved.

The invention discloses an engine additive component service life prediction method based on modal polycondensation and expansion, and the method specifically comprises the steps: firstly, achieving the grid discretization of an initial defect structure based on a finite element method, and carrying out the local refinement of a defect region; performing modal polycondensation on the overall model to obtain a low-dimensional system model, and performing rapid calculation under the low-dimensional model to obtain modal response; establishing a conversion relation between a displacement vibration mode and a stress vibration mode, and obtaining full-field stress by utilizing modal response and based on modal extension; and solving a stress intensity factor-time history of the crack tip by adopting a stress extrapolation method, obtaining a delta K-R-n three-variable rain flow matrix by utilizing a rain flow counting method, and finally carrying out residual life evaluation through an iLAPS model. According to the method, system dynamics, fracture mechanics and modal order reduction technologies are fused, a new efficient and accurate fatigue life prediction path adapting to complex working conditions is provided for additive manufacturing components with defects, and the method has remarkable engineering application value and popularization potential.

The invention provides a wind power blade aeroelastic coupling modeling method considering a pre-bending shape, which comprises the following steps of: establishing a finite element kinetic equation of a geometric precise beam structure of a pre-bending blade and solving to obtain the section speed of the blade; calculating the inflow velocity according to the section velocity of the blade; calculating a lift coefficient after dynamic stall of the blade; establishing an unsteady aerodynamic load calculation equation according to the inflow velocity and the lift coefficient after dynamic stall of the blade; and constructing a pre-bent blade aeroelastic coupling model according to the unsteady aerodynamic load calculation equation. The method can solve the technical problems that a modeling method in the prior art cannot accurately describe nonlinear deformation of the blade, the continuity of a blade model is poor, the number of calculation units is too large, the calculation efficiency is low, and the modeling method is not suitable for the long flexible blade.

The invention belongs to the related technical field of mobile robots, and discloses a rolling-walking composite motion control method and device for a double-wheel-foot robot, and the method comprises the steps: (1) simplifying the rolling motion of wheels of the double-wheel-foot robot into the sliding motion of a sliding block; (2) constructing a system kinetic equation of the double-wheel-foot robot based on the simplified kinetic model; constructing a constraint equation based on the contact state of the two legs and the ground; discretizing the system kinetic equation, the cost function and the constraint equation, and converting model prediction control problems corresponding to the system kinetic equation, the cost function and the constraint equation into nonlinear problems for numerical solution so as to complete leg motion planning; (3) calculating the rotation speed of the wheel based on the leg motion planning result; and (4) based on the rotation speed of the wheels and the leg motion planning result, a whole-body control algorithm is adopted to calculate and obtain moment instructions of leg joints and the wheels. According to the invention, the state space dimension is reduced, and the wheel-ground contact constraint is simplified.

The invention provides a DL-MVCNN-based wind power subsynchronous oscillation traceability method and system, and relates to the technical field of wind power grid connection and oscillation traceability, and the method comprises the steps: constructing a multi-wind power plant grid connection model, and obtaining instantaneous current and power high-dimension subsynchronous oscillation data; modeling is carried out on instantaneous current and power subsynchronous oscillation intrinsic dynamics based on sampling determination learning, subsynchronous oscillation dynamic characteristics are extracted in a given state space, and a subsynchronous oscillation dynamic diagram is generated; inputting the subsynchronous oscillation kinetic graph into a multi-modal oscillation traceability model, extracting respective kinetic mode characteristics of each wind field, and fusing the kinetic mode characteristics of each wind field through a channel attention mechanism in the multi-modal oscillation traceability model to obtain fused characteristics; different oscillation sources correspond to different determined learning dynamics characteristics, based on fusion characteristics, adjusting a weight giving channel, calculating a corresponding channel weight, and outputting a classification result of wind field traceability.

The invention relates to a large-span bridge flutter critical wind speed prediction method based on an L-P perturbation method. The method comprises the following steps that S1, physical characteristics and aerodynamic parameters of a bridge are obtained through a wind tunnel test to serve as basic data; s2, establishing a bridge motion control matrix equation based on modal displacement; s3, deriving an explicit solution of the modal frequency, the damping ratio and the modal characteristic of each modal branch based on an L-P perturbation method; s4, iteratively solving the modal frequency, directly solving the damping ratio, the amplitude ratio and the phase difference on the basis, observing the change of the modal damping ratio xi in each direction along with the wind speed U, and determining the flutter critical wind speed; the problems that an explicit closed solution of an existing three-degree-of-freedom flutter starting condition needs to carry out multiple times of iterative calculation on modal frequency, damping ratio and vibration mode, the influence of structural parameters and pneumatic parameters on pneumatic instability is difficult to clearly explain, and the flutter critical wind speed of a large-span bridge cannot be well predicted are solved.

The invention relates to the technical field of aero-engines, and discloses a dry friction damper multi-target robust optimization method considering multi-source uncertainty, and the method specifically comprises the following steps: 1, quantifying the uncertainty parameters of a dry friction damper; step 2, performing hyper-Latin cube (LHS) sampling on value ranges of geometric parameters and contact parameters caused by abrasion to obtain parameter combination sampling capable of expressing global characteristics in a global sample space; 3, calculating a corresponding nonlinear dynamic response by using a multi-dimensional harmonic balance method (MHBM) by using the nonlinear parameters obtained by sampling; by means of the mode of synchronously optimizing key design parameters of the friction-damping system, the optimal robustness design of the friction-damping system is allowed to be carried out under parameter uncertainty with the purpose of vibration reduction, the damping effect of the dry friction damper is improved, the Pareto optimal solution of the neural network is solved through the genetic algorithm, and the optimal stability of the friction-damping system is improved. Therefore, the multi-objective optimization is realized and the calculation efficiency is improved.

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 a stern bearing lubrication characteristic analysis method coupled with the influence of three-dimensional vibration of a stern shaft, and the analysis method comprises the steps: S1, inputting global parameters into a bearing lubrication performance and kinetic parameter calculation module and a propulsion shaft system vertical, horizontal and torsional three-dimensional vibration calculation module, and completing the corresponding calculation; s2, obtaining a bearing transfer matrix; s3, obtaining a system transfer matrix; s4, the forced vibration calculation module completes corresponding calculation; s5, a bearing relative position feedback module completes corresponding calculation; and S6, judging whether the calculation of one work cycle is completed or not, and storing and outputting the working characteristic result of the stern shaft-stern bearing in the cycle. By designing a bearing lubrication performance and kinetic parameter calculation module and a propulsion shafting vertical and horizontal torsion three-dimensional vibration calculation module, the vibration and lubrication coupling effect between a stern shaft and a stern bearing is fully considered, and a stern shaft vertical and horizontal torsion three-dimensional vibration and stern bearing lubrication characteristic bidirectional coupling model is established. And a vibration lubrication mutual feedback mechanism under a complex vibration condition is disclosed.

The invention discloses a method, a device, equipment and a medium for simulating migration of a proppant, and relates to the technical field of analogue simulation. Simulation is carried out through fluid dynamics and a discrete element analysis model, specifically, fluid parameters are obtained, a calculation model is constructed, and constraints are set; parameters are input for fluid and particle stress analysis, and particle displacement and grid updating are calculated; contact is judged through the particle collision sequence, boundary force is calculated, and the particle motion state is updated; and cyclically feeding back the flow field parameters to particle stress analysis until the number of iterations is met so as to obtain the void ratio, the flow velocity, the position and the momentum of the particles. According to the invention, the motion among particles can be captured and accurately calculated in a high-concentration particle flow or particle dominated collision system.

The invention provides a joint prediction method and system for a wind resistance coefficient and a surface pressure field of an automobile, and relates to the technical field of automobile aerodynamics. According to the joint prediction method, the pressure field and the wind resistance coefficient are predicted in the same network in parallel, and the wind resistance coefficient obtained by pressure field integration and derived from the pressure field and the wind resistance coefficient obtained by network direct regression are calibrated by physical consistency constraint. The model has physical confidence and interpretability while ensuring numerical precision, so that a key stress area can be positioned and serves an automobile modeling iteration process.

The invention provides a vehicle dynamics performance analysis method and system considering suspension parameter performance degradation, and relates to the technical field of railway vehicle dynamics, and the method comprises the steps: building a nonlinear Maxwell hydraulic damper model; establishing a vehicle system dynamics model in simulation software based on a vehicle dynamics theory; integrating the nonlinear Maxwell hydraulic damper model into a vehicle system dynamic model, and establishing a vehicle system nonlinear dynamic model considering suspension parameter performance degradation; setting model parameters of the nonlinear Maxwell hydraulic damper to obtain a simulation result; and analyzing the dynamic performance evaluation index of the vehicle so as to complete dynamic performance evaluation of the vehicle under the conditions of actual service mileage and environment temperature. The method effectively reflects the influence of suspension parameter degradation on the dynamic performance of the vehicle, improves the precision of a dynamic simulation model of the railway vehicle and the reasonability of an analysis method, and has important theoretical research significance for innovative design and intelligent operation and maintenance of the railway vehicle.

The invention discloses a six-degree-of-freedom wheel-foot robot control method, system and device and a storage medium, and relates to the technical field of robotics.The method comprises the steps that whole-body dynamics modeling is conducted on a wheel-foot robot, and a target motion equation of the wheel-foot robot is obtained; calculating a current task state of the wheel-foot robot, a Jacobian matrix and a ground normal vector at a wheel-foot contact point according to the sensor data; determining a target expected acceleration according to the current task state and the reference task state; constructing an optimization problem by using the Jacobian matrix, the ground normal vector and the target expected acceleration; solving the optimization problem under the constraint of the target motion equation to obtain a driving torque; and controlling the wheel-foot robot to move according to the driving torque. The optimization problem constructed by the method comprises the ground normal vector at the wheel-foot contact point, leg dynamics is considered when the wheel-foot robot is controlled, the determined driving torque can more stably drive the wheel-foot robot to pass through the uneven terrain, and the robustness and the passing capacity are improved.

The invention belongs to the technical field of magnetic levitation rulers, and relates to a magnetic levitation ruler horizontal motion control method, which comprises the following steps: establishing a mathematical model of a horizontal system; according to the constructed mathematical model, estimating the position of the rotor iron core through induced electromotive force derivation to obtain the horizontal position and the deflection angle value of the rotor iron core; rotor iron core horizontal motion control based on SYSTD is carried out; and setting the parameters of the horizontal control system of the magnetic suspension ruler system. A mathematical model is established based on a magnetic circuit and a dynamics principle, the problems of nonlinearity and strong coupling of a magnetic levitation ruler horizontal displacement system are solved by applying an improved active-disturbance-rejection control algorithm, and a system structure is simplified by utilizing a position-sensorless control technology. According to the method, unknown dynamic and external disturbance is taken as total disturbance, and real-time estimation and compensation are carried out through an extended state observer; the ADRC not only can adjust errors, but also can actively process uncertain factors of the system and improve the control efficiency, does not depend on an accurate mathematical model, and is high in adaptability and robustness in a complex system.

The invention discloses a rigid-flexible coupling mechanical arm trajectory planning and tracking dynamics simulation method based on an intelligent algorithm. The rigid-flexible coupling mechanical arm trajectory planning and tracking dynamics simulation method is a method integrating dynamics modeling, trajectory planning and trajectory tracking. The method comprises the following steps: performing dynamic modeling on the two-connecting-rod rigid-flexible coupling mechanical arm by using a second-type Lagrange equation, performing reasonable trajectory planning by taking residual vibration energy of a flexible rod as an optimization target and using a particle swarm algorithm when a point-to-point motion task is performed on the mechanical arm, searching an ideal joint trajectory for effectively inhibiting residual vibration, and performing point-to-point motion on the mechanical arm. And finally, in order to enable the mechanical arm to run along a high-quality trajectory preset by trajectory planning, a trajectory tracking method based on deep reinforcement learning is used for tracking an ideal joint trajectory generated by trajectory planning in real time. Reasonable planning and tracking of the joint track of the rigid-flexible coupling mechanical arm can be achieved, and the adverse effect of vibration deformation on the working precision is effectively reduced.

The invention provides a rotary steering fatigue life prediction method and system considering dynamic characteristics, and the method comprises the steps: building a three-dimensional structure model based on a set target test structure, analyzing dangerous points based on a statics finite element simulation model in combination with a set test well section, and determining the static Mises stress of each point; introducing a dynamic boundary load to construct a dynamic finite element simulation model, and analyzing the dynamic Mises stress of each point; calculating a dynamic load addition coefficient of each point according to the dynamic maximum stress and the static stress; in addition, dynamic load characteristics at all points are analyzed from multiple aspects of bit pressure, torque and bending moment; analyzing fatigue characteristics according to the material of the structure corresponding to the dangerous point; and designing a linear damage accumulation operation model, integrating the calculation results to calculate a fatigue index value for multiple input rounds, and further determining the fatigue life of the whole string of tools. According to the scheme, the defects of incomplete operation angles and insufficient accuracy in the prior art can be overcome, and accurate prediction is realized by fully considering dynamic load characteristics and material characteristics of different structures.

The invention relates to the technical field of magnetic suspension conveying lines, in particular to a variable curvature trajectory prediction control method and system for a magnetic suspension conveying line and a storage medium. The method comprises the steps that a variable-curvature trajectory prediction model of the magnetic suspension conveying line is established, and the variable-curvature trajectory prediction model describes the dynamic behavior of a conveying carrier on a variable-curvature path through a kinematics equation and geometric constraints and is used for predicting trajectory deviation in real time. According to the invention, by constructing a variable curvature trajectory prediction model and a multi-target rolling optimization control system, the problems of trajectory tracking and suspension stabilization of a magnetic suspension carrier under a complex path are systematically solved. The method has the advantages that a time domain motion equation is mapped to a space domain path coordinate system based on a curve coordinate system of arc length parameterization and a prediction model constructed by a French-Serret formula, the influence of curvature change on lateral displacement dynamics is accurately described, and dynamics mismatch caused by traditional fixed curvature approximation is eliminated from the model level.

The invention relates to the technical field of robot control, in particular to a high-precision double-closed-loop robust control method for a rope-driven super-redundancy mechanical arm, which is characterized in that dynamics modeling is performed on the rope-driven super-redundancy mechanical arm based on an equivalent moment method, control is divided into a joint space and a driving space, and a double-closed-loop controller is designed for the two spaces. In a joint space, a kinetic parameter adaptive estimation algorithm is designed, so that kinetic parameters converge to correct values within finite time, the accuracy of a dynamic feed-forward quantity is improved, and in a driving space, feed-forward compensation is performed on nonlinear dynamics of a motor, a sliding block, a guide rail and a rope in a driving module based on time delay estimation, so that the dynamic performance of the motor is improved. And sliding mode control is used as a feedback control law, the robustness of nonlinear friction and external disturbance of the rope is improved, and accurate and stable control over the rope-driven super-redundancy mechanical arm can be achieved.

The invention relates to the technical field of maglev motor dynamics and control, and discloses a bearingless asynchronous motor multi-frequency harmonic vibration cooperative suppression method, which comprises the following steps: acquiring radial displacement signals and mechanical angular velocity of a rotor in an x axis and a y axis under a stator fixed coordinate system, and stacking double-axis displacement signals into an observation vector; calculating a weighting coefficient of the normalized residual error through a Huber robust cost function, and outputting the amplitude, the phase and the confidence of each order of harmonic wave; estimating the total disturbance of the system by using a linear extended state observer with harmonic energy injection, wherein the total disturbance is obtained by weighted summation according to the confidence, order and mechanical angular velocity of each order of harmonic; calculating a feedback control force according to the total disturbance estimated value, and superposing the feedforward compensation force and the feedback control force to generate a total suspension force instruction; and according to the total suspension force instruction, inversely calculating a suspension winding current reference value and outputting a control instruction. According to the invention, a mutually complementary cooperative suppression mechanism is formed, and the suppression precision of multi-frequency vibration is improved.

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.

The present invention discloses a method and device for numerical simulation of near-wall single cavitation collapse coupled with boundary motion, comprising: step 1, introducing a physical model of a near-wall single cavitation into a pre-constructed external flow field to obtain a corresponding flow field physical model; step 2, meshing the flow field physical model; setting initial conditions and flow field boundary conditions, and setting a time step that meets the calculation requirements; step 3, setting specific calculation parameters for solving the flow field process, and introducing a fluid volume method to capture the gas-liquid interface; step 4, applying wall vibration in the form of a user-defined function to simulate the cavitation dynamics behavior under vibration impact. The present invention takes into account the influence of wall vibration in the numerical simulation process by coupling boundary motion, and realizes the simulation of the dynamics behavior of near-wall single cavitation under vibration impact conditions. On this basis, the influence of conditions such as vibration frequency on the cavitation collapse process can be further explored, providing theoretical guidance for optimized cavitation suppression design.

The invention provides a distributed driving vehicle preset performance fault-tolerant control method and system based on an adaptive neural network observer. The method comprises the following steps: constructing a vehicle dynamics model containing motor faults and unknown disturbance; in order to realize real-time estimation of faults and disturbance and break through the limitation on disturbance derivative boundaries, a self-adaptive neural network observer is designed; aiming at the problem that the control direction is uncertain, an upper-layer controller is designed based on a preset performance control theory, a Nussbaum function and an obstacle Lyapunov function are introduced, it is ensured that system dynamic errors meet preset performance constraints all the time, and accurate tracking control over the transverse force, the longitudinal force and the yawing moment of a vehicle is achieved; in order to improve the system coordination capability under the multi-motor fault working condition, an optimal torque distribution model fusing the motor torque constraint and the tire force limit is constructed, collaborative optimization control of the driving and steering system is realized through a quadratic programming algorithm, and the stability and safety of the whole vehicle in the fault state are 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 an experimental device and method for researching liquid drop dynamics and evaporation characteristics. The experimental device comprises a liquid drop generation system, a metal flat plate control system, a height adjusting system and a data acquisition system, the liquid drop generation system is used for generating liquid drops impacting the metal flat plate; the metal flat plate system is used for adjusting the inclination angle of a metal flat plate to heat the metal flat plate; the height adjusting system is used for adjusting the height from the liquid drop generating system to the metal flat plate, so that the liquid drops impact the metal flat plate at different speeds; the data acquisition system comprises a high-speed camera, an infrared camera, a particle image velocity measurement device, a light source and a computer, and is used for measuring the morphological change, velocity field and temperature field of liquid drops in the process of impacting the metal flat plate; the invention further provides an experimental method. According to the invention, the morphological evolution process of the liquid drops can be measured, and the dynamics and evaporation characteristics of the liquid drops when impacting metal plates with different inclination angles and surface types can be studied.

The invention relates to a vehicle stability evaluation and early warning method and device, computer equipment and a medium. The method comprises the following steps: constructing a high-dimensional feature space fusing vehicle lateral, yaw, heeling and tire dynamic states; obtaining a vehicle dynamic state estimation value in the high-dimensional feature space based on the multi-source sensor data; determining a local stable manifold boundary representing the stable motion limit of the vehicle in the high-dimensional feature space according to the current vehicle driving condition; extracting stability risk characteristics of multiple dimensions in parallel according to a geometrical relationship and a dynamic evolution trend between a vehicle dynamic state estimation value and a local stability manifold boundary; generating a comprehensive risk level through a probability fusion model, and identifying a dominant instability mode; and when the comprehensive risk level exceeds a preset threshold value, triggering a corresponding predictive cooperative chassis control strategy according to the dominant instability mode. By adopting the method, multi-dimensional states can be fused in real time, and different instability modes can be recognized and distinguished in advance.

The invention discloses a boundary layer cushion block leveling method suitable for a wind tunnel half-mode test, relates to the field of experimental aerodynamics, and aims to reduce interference of wind tunnel wallboards in the half-mode test and improve assembly efficiency. The method comprises the following steps: S1, measuring corresponding data according to an established three-dimensional model of a boundary layer cushion block and a balance adapter; s2, based on the data in the step S1, the sizes of the first tool, the second tool, the third tool and the fourth tool are determined; s3, a corresponding first tool, a second tool, a third tool and a fourth tool are manufactured; s4, a balance adapter is installed in the wind tunnel test section, and a balance is measured; and S5, a leveling tool is used for assisting in leveling of the boundary layer cushion block. By adopting the method, the leveling tool is simple and convenient to apply, measurement parameters are few, and the mounting and leveling operation of the boundary layer base plate is effectively simplified; meanwhile, the leveling precision is high enough, the requirement for the installation precision of the boundary layer cushion block of the half-mold test can be met, and labyrinth groove collision is avoided.

The invention discloses a dynamic response rapid prediction method under complex excitation of a double-variable cycle engine. The dynamic response rapid prediction method comprises the following steps: calculating a steady force on the surface of a turbine blade disc in a mode switching process; according to the dynamic response rapid prediction method under the complex excitation of the double-variable cycle engine, a modal compression method is used for achieving reduction of model dimensions, and the calculation model obtained through the method can greatly reduce resources needed by calculation and improve the calculation efficiency. Compared with an existing full-size model calculation method, the calculation efficiency is improved, the model scale is remarkably reduced, errors are extremely small, and the model scale directly affects the solving efficiency of the finite element model. Besides, in the previous research, an analysis method for the dynamic response of the bladed disc under mode switching of the double-variable cycle engine is not provided yet, and the blank of the response prediction technology of the bladed disc under sudden change excitation is filled.

The invention provides a cooling fan performance calculation method based on multi-physics field coupling. The cooling fan performance calculation method comprises the following steps that a parameterized geometric model of a fluid domain is established according to the size and the relative position of an engine cooling fan and a wind chamber test bed; respectively inputting the two parameterized geometric models into pretreatment software, respectively carrying out grid division on the two parameterized geometric models by using a grid division tool, and outputting a grid file after geometric discretization of the two parameterized geometric models; the discrete grid file of the engine cooling fan is imported into finite element analysis software, a pretreatment tool is used for defining material parameters for the engine cooling fan, boundary conditions and load constraints are applied, the discrete grid file of a fluid domain is imported into fluid dynamics analysis software, and fluid dynamics analysis is carried out on the engine cooling fan; setting a turbulence model, region and boundary conditions, a solver and the like; establishing a multi-physical field coupling model to realize data exchange among a plurality of physical fields; and operation calculation is carried out, a calculation result is post-processed, and qualitative and quantitative analysis is carried out on the fan performance.