15 results about "Mechanical dynamics" patented technology

The present application relates to the field of power system stability analysis and control, in particular to a kind of thermal mass energy storage converter broadband oscillation suppression parameter stable domain identification method, comprising the following steps: establish general electric-thermal coupling mechanism model, construct the dynamic differential equation describing the evolution of input electric power and energy storage medium temperature state of converter;Mechanical dynamics equation is constructed;Establish the small signal state space model of whole system, linearization is carried out at steady state operating point and the state space matrix of whole system is derived;Define practical small disturbance stability domain, set the real part decay rate threshold and minimum damping ratio threshold of whole system eigenvalue;Algebraic singularity constraint equation in high-dimensional parameter space is constructed;Solve algebraic singularity constraint equation, establish parameter stable domain.This method avoids the repeated iteration of traditional eigenvalue analysis, can accurately depict parameter boundary, effectively improve the frequency support capability of high proportion of new energy power grid and system robustness.

The application relates to the technical field of ship power control, and discloses a ship power system energy efficiency optimization control system based on multi-sensor fusion, which comprises the following modules: a multi-source data acquisition module, which is used for synchronously collecting hull, shafting and air path parameters; a kinematics mapping calculation module, which is used for calculating a propeller transient immersion index; a phase extraction and mode determination module, which is used for extracting a wave phase and an amplitude output mode signal; a fuel mechanical dynamics feedforward module, which is used for generating an oil injection instruction according to the amplitude and the immersion index derivative; an air thermodynamics cooperative control module, which is used for controlling a valve and starting a scavenging blower according to a phase angle; and a long-term energy efficiency optimization module, which is used for finely adjusting a main rotating speed setting value according to an energy efficiency cost function gradient. The technical scheme of extracting the transient immersion index and the fluctuation amplitude to dynamically adjust the rotating speed control dead zone and superimpose a negative fuel feedforward instruction is adopted, so that the technical effects of suppressing abnormal fluctuation of the main engine rotating speed under high sea conditions and reducing unnecessary fuel consumption are achieved.

The application belongs to the technical field of mechanical dynamics, and discloses a six-degree-of-freedom large-load low-frequency excitation platform based on an air spring, which comprises an exciter, wherein the exciter comprises an upper end plate, a base and a horizontal swing mechanism, the horizontal swing mechanism is partially arranged in the base, and the upper end plate is connected to the base; the base and the horizontal swing mechanism jointly form an air spring, and the air spring is arranged opposite to the upper end plate; the upper end plate is used for connecting a load; the excitation platform makes the air spring deform by introducing air into the air spring to float the upper end plate, and then floats the load. The application overcomes the influence of the target load gravity on excitation through the air spring, reduces the stiffness in the vertical direction, makes the motor provide the excitation force of full frequency band and controllable size for the load, and has good low-frequency excitation effect.

A method for solving the thermal-mechanical coupling multi-scale dynamics of flexible multi-body systems with clearance hinges, the technical field of space deployment mechanism dynamics modeling and numerical simulation. The existing solving method is difficult to accurately capture the change of the dynamics response of the space deployment mechanism under the thermal environment. According to the constructed temperature related hinge gap model, the temperature related material parameter model, the normal contact collision model, the partial slip tangential slip friction model, the tangential total friction force, the adhesion zone displacement and slip velocity model, the thermal viscous damping and tangential friction force model, the static friction growth model and the friction heat feedback transient heat conduction model, the thermal-mechanical coupling mechanical dynamics equation is constructed, which is decomposed into slow field equation and fast field equation, and the slow field equation and the fast field equation are solved through BDF2 and Newton-Raphson method and double parameter adaptive multi-scale implicit integration method, and the motion response of the hinge is obtained. The present application is used for obtaining the motion response of the hinge.

This invention relates to the field of dynamic modeling technology and discloses a dynamic modeling system for digital twin of packaging electrostatic field, comprising: acquiring the feedback signal of the drive frequency actuator, the displacement data of the controlled target object, and the reference field strength signal; extracting the high-frequency ripple component of the current signal to determine the dynamic friction coupling factor, characterizing the micro-fluctuation of contact stress; mapping the conductive transmission component as a virtual topological zero-potential anchor point, and switching the leakage resistance parameter when the controlled target object is displaced to the corresponding coordinate; using the dynamic friction coupling factor to compensate for the charge injection gain, and solving the charge distribution state of the controlled target object through a two-layer evolution architecture; thereby generating a digital twin model of the distributed physical quantity field and correcting the deviation. This invention establishes the correlation logic between drive dynamics and charge evolution, offsets the fluctuation of charging gain caused by mechanical dynamic drift, and improves the modeling accuracy.

The application discloses a kind of high-precision dynamic simulation-oriented mechanical inertia compensation method of electric vehicle test bench.This method introduces extended state observer in inertia compensator to replace traditional differential element, the total disturbance of system including acceleration dynamics and unmodeled dynamics is expanded to new state variable to carry out unified observation and compensation, solve the problem that high frequency noise amplification of test bench under high multiple compensation leads to the decline of speed simulation accuracy;The system closed-loop discrete mathematical model containing ESO is constructed, and the stability boundary of the system under high multiple compensation is determined using its characteristic equation and Jury criterion;In the stability domain, the sparrow search algorithm with working condition self-adaptive boundary early warning mechanism is used to optimize the observer gain, and the conflict between low-speed high-precision requirement and high-speed robustness requirement is solved.The application effectively solves the interference of high-frequency noise on the compensation loop, and realizes the high-precision and high-stability simulation of the mechanical dynamics of large inertia electric vehicle under all working conditions.

The application provides a fault dynamics analysis method, device, equipment and storage medium, and relates to the technical field of mechanical dynamics analysis. The method comprises the following steps: constructing a crack model based on the crack fault characteristics of a double-disc rotor system; the double-disc rotor system comprises a double-disc rotor and a rolling bearing, the rolling bearing comprises rolling elements, and the double-disc rotor system has a crack; constructing a bearing force model of the rolling bearing; constructing a rolling bearing-crack rotor dynamics model of the double-disc rotor system based on the crack model and the bearing force model; and performing fault dynamics analysis on the double-disc rotor system based on the rolling bearing-crack rotor dynamics model. In the foregoing manner, an effective and feasible fault dynamics analysis method is provided for the double-disc rotor system with rolling bearings and cracks, which is conducive to revealing the system motion state law of the double-disc rotor system with rolling bearings under crack fault, and guaranteeing the fault early warning and prevention and control requirements of the double-disc rotor system under actual working conditions.

The application discloses a rope driving mechanical tracking control method based on TDE and recursive non-singular terminal sliding mode, and relates to the technical field of mechanical hand control. The application comprises the following steps: through mechanical dynamics analysis, the dynamics standard equation of the mechanical hand is determined and is converted into a TDE simplified equation, and a tracking error is defined; an FNTSM function containing a proportional control parameter is constructed, a recursive non-singular terminal sliding mode variable is formed in combination with a recursive integral term; an interference adaptive law is designed to dynamically adjust the proportional control parameter, the convergence speed and the chattering characteristics of the tracking error are analyzed, and a composite reaching law is generated; based on the composite reaching law and the updated TDE simplified equation, a generalized output vector of a joint controller containing a fluctuation parameter is extracted, a complete control law is formed, the generalized vector is output in real time through the control law, the motion trajectory of the mechanical hand is simulated, and high-precision tracking control is realized.

The application discloses a kind of rail turnout life prediction method and system based on multi-modal deep learning, the method includes collecting the current data and vibration data of turnout, carries out asynchronous data mixing with synchronization;Local space features of turnout multi-source sensing synchronization data are extracted using CNN network, and the timing variation law of local space features is captured through LSTM network;Local space features and timing features are fused based on cross-modal feature attention fusion network, and the model is pre-trained using the contrast training method of self-supervised learning, and the turnout life prediction model is obtained by fine-tuning using turnout fault data;The penalty term embedded model loss function with physical constraints is constructed using turnout mechanical dynamics model, and the turnout life prediction model is trained;Finally, the probability distribution of turnout remaining life is output, and the explainability report is generated by SHAP tool.Application of the application can effectively improve the precision and reliability of turnout life prediction.

This invention provides an analytical method for corrugated foil bearing performance degradation considering weld fatigue characteristics, relating to the fields of mechanical dynamics and rotor system simulation technology. The method comprises three nested iterative calculation layers: in the fluid-structure interaction basic iterative layer, the dynamic air film pressure distribution is solved to obtain the air film thickness and the flat foil deformation at the weld point within the corrugated foil bearing; in the weld point local stiffness self-consistent iterative layer, the actual elastic modulus and estimated local stiffness of the weld material are updated using a continuous damage model, outputting the weld stiffness retention rate and dynamic stiffness damping parameters; in the full life cycle performance evolution iterative layer, the overall dynamic behavior of the system is calculated based on the above parameters, outputting the performance degradation judgment result. This invention can identify the degradation risk of corrugated foil bearings before macroscopic fracture occurs at the weld point and the system exhibits severe vibration.

This invention provides an intelligent seeding control system and method, relating to the field of intelligent agricultural equipment technology. The intelligent seeding control system includes a multimodal Transformer encoder, a conditional diffusion strategy network, and a physical constraint verification module. The multimodal Transformer encoder receives multi-source time-series sensor data and farmer instructions, generating an environmental state embedding vector. The conditional diffusion strategy network uses this embedding vector as a condition to perform an inverse denoising process to generate seeding parameters. The physical constraint verification module checks whether the seeding parameters meet mechanical dynamics constraints; if they exceed the constraints, a resampling mechanism is triggered. This invention introduces a diffusion model into agricultural machinery control strategies, achieving accurate modeling of the farmland environment and physically safe action generation, providing a highly adaptable and low-energy-consumption intelligent seeding scheme.

This invention discloses an automated simulation testing system and method for mechanical structure failure in a hydraulically decoupled braking system, belonging to the technical field of functional safety testing for automotive braking systems. The system includes: a model fault injection unit, used to simulate mechanical structure failure at the model level by modifying physical parameters in a mechanical dynamics model or hydraulic model; a real-time simulation unit, used to run a vehicle dynamics model and generate vehicle state information; and an automated testing unit, used to control the model fault injection unit to perform simulations of multiple failure modes and determine braking performance based on the vehicle state information. This invention, by dynamically modifying physical parameters during simulation model operation, can automatically and quantitatively simulate complex progressive mechanical failures in the early stages of development, solving the technical problem that existing hardware fault injection methods cannot simulate such failures. This invention is suitable for widespread application in effectively simulating the dynamic failure of complex mechanical structures in the early stages of development.

This invention relates to the field of aerospace motor drive control technology, specifically a dual-redundant fault-tolerant aerospace motor drive control method and system. The method constructs a coupled electrical, magnetic, thermal, and mechanical dynamics model and sets boundaries; performs flux folding iteration to find the optimal flux trajectory between thermal constraints and thrust requirements; simulates high-maneuver load conditions and determines pulse width parameters that meet dynamic response and thermal safety through multiple rounds of negotiation; injects fault signals to verify remaining capacity and maps minimum control corrections to form comprehensive control parameters; dynamically allocates dual-redundant power based on real-time health coefficients and solidifies control boundaries. Ultimately, it achieves a dynamic balance between thermal limits and thrust requirements under all flight conditions, fine fault tolerance in fault modes, and adaptive allocation of redundant channel power, significantly improving the safety and reliability of the aerospace motor drive system.

This invention belongs to the field of motor control technology, and particularly relates to a discrete speed control method for a permanent magnet synchronous motor. It includes: S1: Constructing a mechanical dynamics model of the permanent magnet synchronous motor, and based on the mechanical dynamics model, constructing a lumped disturbance model; S2: Constructing an augmented state-space model based on the mechanical dynamics model and the lumped disturbance model, and based on the augmented state-space model, constructing a discrete-time multi-frequency extended state observer; S3: Designing an error feedback control law, and using the error feedback control law to compensate for the lumped disturbance observed by the discrete-time multi-frequency extended state observer, thereby achieving discrete speed control of the permanent magnet synchronous motor. This invention can synchronously and accurately observe and effectively suppress non-periodic slowly varying disturbances and multi-frequency periodic harmonics in the discrete-time domain, avoiding the increased system complexity and decreased overall performance caused by discretization of continuous-time design.