135 results about "Electromechanical coupling" patented technology

Disclosed in the present invention is a physics-informed neural network-based thermo-mechanical coupling analysis method for an inertial microsystem, the method comprising: S1, configuring material parameters and boundary conditions of an inertial microsystem, and establishing a thermo-mechanical coupling analysis model; S2, performing electro-thermal coupling analysis to obtain a temperature distribution of the inertial microsystem; S3, performing thermo-mechanical coupling simulation analysis to obtain a thermal stress distribution of the microsystem; S4, predicting temperature fields of the microsystem by means of a physics-informed neural network; S5, using the temperature fields as boundary conditions for mechanical simulation of the microsystem, obtaining mechanical properties such as stress and strain of the microsystem; and S6, performing electromechanical coupling simulation analysis to analyze the impact of structural deformation on various parameters of electrical performance. The present invention improves the solution accuracy of the neural network by means of an improved adaptive weighting strategy, combines a complete polynomial basis function with the neural network, and introduces an expanded basis function to reduce the state dimensionality, thus reducing computational costs and time, achieving accurate prediction of temperature fields of microsystems at multiple moments, and allowing for computation of the performance of microsystems under electro-thermal-mechanical multi-physics coupling.

The invention discloses a micro-cantilever geometric structure parameter inversion system, method and device, and belongs to the technical field of micro-electro-mechanical systems. According to the system, a dynamic model containing geometry, material and electromechanical coupling nonlinearity is constructed, a PINNs network fused with physical constraints is designed, a staged training optimization strategy is adopted, and efficient inversion of micro-cantilever geometric parameters is achieved. The core of the method is that a nonlinear kinetic equation is used as a constraint to be embedded into a neural network for training, experimental data and physical residual errors are combined to construct a composite loss function, and the problems that a traditional method neglects a nonlinear effect, depends on finite element simulation and is low in inversion precision are solved. The average relative error of inversion of the system is lower than 1%, which is obviously superior to that of a traditional method, and the method can be widely applied to MEMS device design, online detection and closed-loop control scenes.

The invention relates to the technical field of power grid stability analysis, in particular to a mechanical vibration micro-grid electromechanical coupling system stability analysis method, which comprises the following steps of: detecting a tooth surface contact radius, a relative speed and a Young modulus to generate a contact stiffness initial value, correcting nonlinear stiffness by interval difference, and calculating the stability of a micro-grid electromechanical coupling system. The method comprises the following steps: calculating a coupling response vector by combining rotor displacement and bearing clearance, inputting a Lyapunov exponent method to solve an exponent vector, constructing a model length ratio to detect derivative characteristics, extracting a multidimensional state vector in a positive value period and the coupling response vector to generate a compensation action, and constructing an FPGA simulation path injection disturbance execution error feedback back-transmission fuzzy control algorithm. According to the method, a contact stiffness dynamic correction and nonlinear difference method is introduced, six-degree-of-freedom displacement and bearing clearance parameters are combined, an electromechanical coupling model is established, a stability boundary is recognized through Lyapunov regression, a critical state is detected through derivative features, and multi-dimensional state vector fuzzy control compensation is fused. And the response and the immunity are optimized by combining FPGA simulation and a disturbance mechanism.

The invention belongs to the field of wind tunnel experiments in a hypersonic flow field environment, and discloses a multi-degree-of-freedom high-frequency motion simulation device for an aircraft dynamic stability test and a calculation method for realizing an actuation angle. According to the technical method, calculation is carried out on the basis of an electromechanical coupling equation, determined by electrical parameters and mechanical parameters, of a piezoelectric material. Modeling can be carried out according to a piezoelectric equation to obtain a calculation method between the voltage applied by the piezoelectric actuator and the pitching and yawing actuation angles of the device, so that the excitation effect of the device in the ground test process can be accurately controlled and predicted. The method is not only suitable for pitching and yawing two-degree-of-freedom actuation calculation, but also can be used for calculating the actuation angle of a three-axis degree-of-freedom experimental device added with rolling drive through coordinate transformation under the condition of adding parameters such as rolling angular velocity and the like in the face of the three-axis degree-of-freedom experimental device added with rolling drive. At present, according to a calculation method based on the device, calculation is carried out only by considering the degree of freedom of the pitching axis and the yawing axis.

The invention discloses a mine electromechanical equipment operation safety situation assessment method and system, and relates to the technical field of mine electromechanical equipment safety monitoring and assessment, and the method comprises the following steps: building an electromechanical coupling time frequency observation layer, continuously obtaining the dynamic characteristics of tension data, displacement data, current data and torque data, generating a modal fingerprint baseline based on conjoint analysis; coherent decomposition is carried out under the support of the modal fingerprint baseline, the modal drift speed is calculated, and the risk window with the driving frequency gradually approaching is identified, so that the frequency evolution trend is revealed in advance. According to the method, an electromechanical coupling time-frequency observation system is constructed, a modal fingerprint baseline is extracted, the resonance risk is recognized in advance in combination with coherent decomposition and anti-fact playback, energy dissipation is achieved through peak shifting driving and structural damping, and finally, phase traction and a phonon band gap structure are used for rapid vibration extinguishing, so that a complete dynamic regulation and control closed-loop system is formed.

Techniques for improving acoustic resonators and resonator structures are disclosed, including filters, oscillators and systems that may include such devices. A bulk acoustic wave (BAW) resonator may comprise a substrate. The bulk acoustic wave (BAW) may further comprise a plurality of piezoelectric layers including first, second, third and fourth piezoelectric layers acoustically coupled with one another and arranged over the substrate. The first, second, third and fourth piezoelectric layers may have respective piezoelectric axis orientations. The first, second, third and fourth piezoelectric layers may have respective thicknesses. Electromechanical coupling of the bulk acoustic wave (BAW) resonator may, but need not be limited.

The present invention discloses a thermomechanical coupling analysis method for an inertial microsystem based on a physical information neural network, comprising: S1, setting the material parameters and boundary conditions of the inertial microsystem and establishing a thermomechanical coupling analysis model; S2, obtaining the temperature distribution of the inertial microsystem through electrothermal coupling analysis; S3, obtaining the thermal stress distribution of the microsystem through thermomechanical coupling simulation analysis; S4, predicting the temperature field of the microsystem through a physical information neural network; S5, using the temperature field as the boundary condition for the mechanical simulation of the microsystem to obtain the mechanical properties such as stress and strain of the microsystem; S6, performing electromechanical coupling simulation analysis to analyze the influence of structural deformation on various parameters in the electrical properties. The present invention improves the solving accuracy of the neural network through an improved adaptive weight strategy, combines the complete polynomial basis function with the neural network, introduces the expanded basis function to reduce the state dimension, reduces the computational cost and time, realizes the accurate prediction of the temperature field of the microsystem at multiple moments, and calculates the performance of the microsystem under the coupling of electrothermal and mechanical multi-physical fields.

The invention relates to the field of motor and gear transmission systems, in particular to a method for optimizing design parameters of a transmission gear in an electric drive system.The method includes the steps that firstly, a two-dimensional finite element model of a permanent magnet synchronous motor is established, rotor stepped skewed slots and material magnetic saturation characteristics are accurately simulated, and an external characteristic MAP is generated; then calculating electromagnetic force density based on a Maxwell stress tensor method, mapping the electromagnetic force density to a multi-body dynamic model to construct a transverse coupling model, extracting an ECE reduced-order model based on a permanent magnet synchronous motor two-dimensional finite element model, forming a torsional vibration model in combination with a control algorithm, integrating a rigid-flexible coupling mechanical system, and establishing an electromechanical-rigid-flexible coupling model; and finally, through sensitivity analysis and a response surface model, with vibration acceleration and torsion amplitude as targets and gear strength as constraints, a Pareto optimal solution is solved by adopting a genetic algorithm, electromechanical coupling simulation precision is greatly improved, system vibration is effectively reduced, gear transmission reliability is enhanced, and the method is suitable for design of a high-dynamic-performance electric drive system.

The invention relates to a prospective control method of a multi-axis linkage machine tool in the field of intelligent manufacturing, which comprises the following steps: by analyzing the time difference distribution of each axis in a compensation time sequence, establishing a dynamic compensation matrix of multi-axis linkage, the matrix comprising the advanced starting time and speed regulation coefficient of each axis in different motion stages, determining personalized motion control parameters of each axis; according to the updated delay characteristic data and the curvature radius information of the track corner, the position deviation trend of each axis in the corner machining process is predicted, whether the motion time sequence of each axis needs to be adjusted or not is judged by comparing the deviation degree of the predicted position and the theoretical track, and an optimized multi-axis cooperative motion instruction is obtained; and the optimized multi-axis cooperative motion instruction is input into a servo controller of each axis, an actual position feedback signal of each axis is monitored at the same time, and the response consistency of each axis is ensured by calculating the real-time deviation value of an actual track and a theoretical track and dynamically correcting compensation parameters in an electromechanical coupling delay model.

The invention belongs to the technical field of power distribution network hot-line work robots, and provides an electromechanical coupling system multi-parameter collaborative optimization method based on a GRPO reinforcement learning algorithm, and the method comprises the steps: obtaining multi-parameter operation data of an electromechanical coupling system in an operation process; carrying out preprocessing on the obtained operation data; constructing a state vector based on the preprocessed operation data; constructing a GRPO reinforcement learning collaborative optimization model based on a GRPO reinforcement learning algorithm; inputting the state vector into a GRPO reinforcement learning collaborative optimization model; and the GRPO reinforcement learning collaborative optimization model obtains an optimization strategy through interactive learning with the electromechanical coupling system. The method is based on a reinforcement learning framework, so that the optimization strategy can adapt to parameter drift caused by system operation condition change, environment interference and part aging in real time, and the robustness of the optimization effect is kept.

The invention discloses a high-performance dielectric elastomer film, a driver capable of being driven at low voltage and a preparation method of the driver. According to the preparation method of the high-performance dielectric elastomer film, customization and balance of mechanical properties and electrical properties of a dielectric elastomer are realized by regulating and controlling the proportion of a chemical cross-linking agent, a high-polarity physical cross-linking agent and a monomer; according to the preparation method of the driver capable of being driven at the low voltage, a dielectric elastomer film and a flexible electrode are stacked through an optimized dry stacking method, the dielectric elastomer driver of a multilayer structure is constructed, and the driver has excellent performance under the low driving voltage. The preparation method has the potential of large-batch and large-scale production, and the prepared dielectric elastomer film has low Young modulus and enhanced strain hardening effect, can avoid electromechanical coupling instability, has high dielectric constant, has large-area strain in a low electric field, and can be used for preparing a dielectric elastomer film. The resulting dielectric elastomer driver can have a blocking force of 0.8 N and an energy density of 80 J / kg at a voltage of 500 V.

The application provides a detection system for interface peeling defects of a steel shell inner wall and concrete, which comprises a detection device, and the detection device comprises a signal generator, a signal amplifier, a plurality of piezoelectric material sheet assemblies, a signal acquisition assembly and a data analysis processor which are electrically connected in sequence; the plurality of piezoelectric material sheet assemblies are attached to the outer wall of the steel shell at intervals to form an electromechanical coupling system. The piezoelectric material sheet is arranged on the outer wall of the steel shell of the steel shell concrete component as a driver and a sensor at the same time, the electromechanical coupling impedance spectrum of the piezoelectric material is measured in a self-generating and self-receiving mode, the abnormal value of the electromechanical coupling impedance spectrum is analyzed, the RMSD of the electromechanical coupling impedance spectrum of the measuring point and the reference measuring point is calculated, the sensor position corresponding to the abnormal signal is screened out, and thus the accurate positioning and range estimation of the interface peeling defects are realized.

The invention discloses a fault detection method for an explosion-proof and intrinsic safety type hybrid electric appliance switch based on artificial intelligence, and relates to the technical field of intelligent operation and maintenance of power equipment, and the method comprises the following steps: S1, synchronously collecting multi-modal sensing data during the operation of the hybrid electric appliance switch through a plurality of intrinsic safety type sensors synchronously driven by a unified clock source; the multi-mode sensing data at least comprises electrical sensing data and mechanical vibration sensing data. According to the fault detection method for the flame-proof and intrinsic safety type hybrid electric appliance switch based on artificial intelligence, through a multi-mode synchronous acquisition and deep fusion architecture, the technical problem that fault feature acquisition is incomplete and asynchronous under strict explosion-proof constraints is effectively solved. Through a processing mechanism of edge calculation and cloud collaboration, accurate capture and intelligent screening of electromechanical coupling features are realized, the accuracy and reliability of fault diagnosis are improved by combining dual verification and a confidence fusion decision model, and effective technical support is provided for early fault early warning.

Mechanically and piezoelectrically anisotropic polymer fibers may be formed by spinning a polymer solution or gel that includes a high molecular weight crystallizable polymer and a liquid solvent. The solvent may be configured to interact with the polymer to facilitate chain alignment and, in some examples, create a higher crystalline content within the spun fibers. The polymer solution may also include a low molecular weight additive. The high and low molecular weight polymers may each be characterized by a bimodal molecular weight distribution where the molecular weight of the additive is less than the molecular weight of the crystallizable polymer. The polymer(s) and the additive(s) may be independently selected from vinylidene fluoride, trifluoroethylene, chlorotrifluoroethylene, hexafluoropropene, vinyl fluoride, etc. The spun fibers may be oriented, annealed, poled, and woven or laminated to form a polymer thin film having a high elastic modulus and a high electromechanical coupling factor.

The application discloses a dynamic reliability evaluation method for a permanent magnet planetary gear transmission system, and belongs to the technical field of reliability analysis of electromechanical coupling transmission systems. The method is characterized in that: firstly, the service process of the system is divided into stages, and a random variable model is established; based on the wear evolution relationship, parameters of each stage are obtained through parameter mapping; then, stage high-fidelity unified electromechanical dynamics solving is performed, and frequency-related characteristic indexes are extracted; a multi-failure mode limit state vector is constructed, and a stage failure event is defined; on this basis, a multi-response Gaussian process proxy model is used for fitting and iterative updating of the limit state function through stage-by-stage active learning; the U function is used for initial screening of candidate samples, EFF is calculated and sorted, and a new sample point is selected according to the Top-K criterion to update the proxy model, until the convergence criterion is met; finally, the dynamic failure probability of the system is calculated by using the updated proxy model. The application realizes efficient and accurate evaluation of the failure probability of multiple failure modes, reduces the calculation cost, and improves the engineering applicability.

The invention belongs to the technical field of functional materials, and particularly relates to a 1-3 type lead metaniobate piezoelectric composite material and a preparation method and application thereof. The composite material takes lead metaniobate ceramic with a tungsten bronze structure as a one-dimensional piezoelectric phase and takes epoxy resin as a three-dimensional polymer phase. The ratio [lambda] / T of the transverse periodic dimension ([lambda]) of the ceramic column to the thickness (T) of the composite material is 0.1-0.6. The preparation method is characterized in that the ceramic column array is formed through precise cutting, cutting parameters are controlled to achieve the lambda / T ratio, and then resin encapsulation, curing, polishing and electrode preparation are conducted. According to the invention, the electromechanical coupling performance and stability of the composite material at ultrahigh temperature are synergistically improved by selecting the lead metaniobate ceramic with high Curie temperature and combining specific lambda / T structural parameters. The obtained material can still keep good performance at 350 DEG C, the maximum thickness electromechanical coupling coefficient kt can reach 0.35, and the material is suitable for high-temperature acoustic logging and underwater acoustic receiving transducers.

The invention provides a double-drive synchronous control method and system for a gantry machine tool, and the method comprises the steps: S1, building a flexible multi-body dynamic model of the gantry machine tool through combining the part flexibility and connection flexibility of the gantry machine tool; s2, constructing a dual-drive electromechanical coupling model of the gantry machine tool by combining servo system characteristics of the gantry machine tool and traditional system dynamic characteristics on the basis of the flexible multi-body dynamic model; and S3, according to the double-drive electromechanical coupling model, a self-adaptive control algorithm combining cross coupling double-drive synchronous control and sliding mode control is adopted to complete synchronous control of a double-drive system. According to the gantry machine tool double-drive synchronous self-adaptive control algorithm based on cross coupling double-drive synchronous control and sliding mode control, a cross feedback item is introduced, so that information of two drivers is correlated, the problem of double-drive synchronous error accumulation faced by a traditional double-drive parallel control or master-slave control method of a gantry machine tool is solved, and the system reliability is improved. The synchronous control of the gantry machine tool servo double-drive system is realized.

This invention discloses a nonlinear dynamic modeling method for crack evolution in a helical gear transmission system for vehicles, which includes the following steps: (1) establishing a calculation formula for meshing stiffness of the helical gear pair under cracked conditions using the slice integration method and the potential energy method; (2) establishing an equivalent circuit model of the motor by combining the principles of circuit theory and magnetic circuit theory with coordinate transformation relationship; (3) building an electromechanical coupling model of the motor-gear system based on the mechanical relationship between the motor and the gear transmission system; (4) establishing a model of the electromechanical coupling helical gear transmission system for vehicles and solving the influence mechanism of crack evolution of helical gears on the dynamic characteristics of the electromechanical coupling helical gear transmission system for vehicles; the beneficial effect is that this invention establishes a nonlinear fault dynamic model of the electromechanical coupling transmission system for new energy vehicles, which is of great significance for the design, optimization and life prediction of the helical gear transmission system for new energy vehicles.

The invention discloses a large-tonnage insulating pull rod joint adhesive and a preparation method thereof, belongs to the technical field of high-voltage insulating materials, and aims to solve the technical problems that an existing large-tonnage insulating pull rod joint adhesive easily generates microcracks and interface layering under long-term electromechanical coupling stress and is difficult to early warn and self-repair. The preparation method comprises the following steps: firstly, synthesizing a polyurea microcapsule containing fluorescent dye tetraphenyl ethylene (TPE), and accurately controlling the wall thickness of the microcapsule through an interfacial polymerization technology to ensure that the microcapsule is broken under specified stress; then, the microcapsules are compounded with bisphenol A epoxy resin, nano montmorillonite and a silane coupling agent, and a curing agent is added to prepare an adhesive; when the adhesive joint is subjected to critical stress, the microcapsule is broken and the fluorescent dye is released, so that damage self-diagnosis is realized; the damage detection sensitivity, the mechanical property and the high temperature resistance of the adhesive are remarkably improved, and a reliable guarantee is provided for hot-line work of ultra-high voltage transmission lines.

A ship diesel generating set single shafting torsional vibration analysis model and a modeling method thereof belong to the field of vibration and noise reduction of ship equipment, and comprise a diesel engine speed regulation system model, a diesel engine acting model, a diesel engine torque synthesis model and an electromechanical coupling analysis model established among flexible shafting models based on transmission shaft rotating speed signals; establishing a power grid coupling analysis model among the generator model, the excitation system model and the load system model based on voltage and current signals; all the models are coupled based on the electromechanical coupling analysis model and the power grid coupling analysis model, and a shaft system torsional vibration analysis model of the ship diesel generator set single-machine control system and shaft system torsional vibration is obtained. According to the application, the coupling effect analysis of the single-machine speed regulation control system, the generator excitation system, the power grid load system and the shaft system torsional vibration system of the ship diesel generating set in the island mode can be realized, the single-machine stable transient vibration characteristics of the ship diesel generating set can be conveniently researched, and support is provided for the design optimization of related system parameters.

Apparatus for near-field wireless energy transfer. A first layer provides or comprises a piezoelectric phase or a material with or adapted for electromechanical coupling; and a second layer provides or comprises a magnetostrictive phase or a material with or adapted for a magnetomechanical coupling. The second layer is mechanically and / or chemically coupled to the first layer to provide a composite structure.

The invention relates to the technical field of semiconductors, in particular to a surface acoustic wave resonance device, which comprises a substrate comprising a piezoelectric layer; the interdigital electrode is located on the piezoelectric layer, and the interdigital electrode sequentially comprises a first bus, a first gap part, an overlapping part, a second gap part and a second bus in the first direction; the piezoelectric layer sequentially comprises a first part, a first failure part, an effective part, a second failure part and a second part in the first direction, and the electromechanical coupling effect of the effective part is effective; the first bus is located on the first portion, the first gap portion is located on the first failure portion, the overlapping portion is located on the effective portion, the second gap portion is located on the second failure portion, and the second bus is located on the second portion. On the premise of not obviously influencing insertion loss, power tolerance and chip size, high-order nonlinearity, such as cubic nonlinearity, caused by electromechanical coupling outside a resonance area is effectively inhibited. In addition, the failure part extends to the bus, so that gap mode can be effectively inhibited.

The invention belongs to the technical field of piezoelectric ceramic materials, and discloses a hard piezoelectric ceramic preparation method based on oxidation-reduction treatment, which comprises the following steps: sintering a piezoelectric ceramic green body with the component of Ba (1-x) EuxTi (1-x / 8O3) in a reducing atmosphere to obtain BT piezoelectric ceramic (x = 0.015-0.04); and carrying out oxidation treatment on the BT piezoelectric ceramic in an air atmosphere at 1200-1350 DEG C to obtain the hard piezoelectric ceramic. According to the invention, an additional driving force is provided through an oxidation-reduction reaction, so that a solute is separated out in a precipitation phase in a solid solution with relatively low content, the limitation of component regulation and control is solved, and a relatively good piezoelectric coefficient is achieved while the electromechanical coupling performance is optimized.

The invention belongs to the technical field of piezoelectric ceramics, and particularly relates to a lead antimonate niobate-lead manganese niobate-lead zirconate titanate piezoelectric ceramic material and a method. Comprising a chemical general formula of xPb (Sb1 / 3Nb2 / 3) O3 <-0.04 > Pb (Mn1 / 3Nb2 / 3) O3 <-(0.96-x) Pb < 0.98 > Sr < 0.02 > (Zr < 0.5 > Ti < 0.5 >) O3 < + y wt% Fe < 2 > O < 3 >, wherein x is equal to 0.01 to 0.08, and y is equal to 0.01 to 2. The piezoelectric ceramic material is prepared from the following raw materials: Pb3O4, TiO2, ZrO2, Nb2O5, Sb2O3, MnO2 and SrCO3. The piezoelectric ceramic has a high piezoelectric coefficient and a high electromechanical coupling coefficient at the same time, compared with traditional P-8 series piezoelectric ceramics, the energy conversion rate can be improved, and the piezoelectric ceramic has low dielectric loss and high mechanical quality factor together with P-8 and has low loss in the energy conversion process.

The application discloses a mine electromechanical equipment operation safety situation evaluation method and system, relates to the technical field of mine electromechanical equipment safety monitoring and evaluation, and comprises the following steps: establishing an electromechanical coupling time-frequency observation layer, continuously acquiring dynamic characteristics of tension data, displacement data, current data and torque data, and generating a modal fingerprint baseline based on joint analysis; under the support of the modal fingerprint baseline, coherent decomposition is carried out, the modal drift speed is calculated, and a risk window in which the driving frequency gradually approaches is identified, so that the frequency evolution trend is revealed in advance. The application constructs an electromechanical coupling time-frequency observation system, extracts a modal fingerprint baseline, combines coherent decomposition and counterfactual playback to identify resonance risks in advance, realizes energy dissipation through staggered driving and structural damping, finally utilizes phase traction and phonon band gap structure to quickly dampen vibration, and forms a complete dynamic regulation and control closed-loop system.

The application discloses a patch type ultrasonic motor vibrator, a method and an ultrasonic motor of composite vibration, which comprises a vibrating body and a PZT plate group; the PZT plate group comprises a torsional PZT plate and a bending PZT plate; the top of the vibrating body is provided with a driving leg; the top surface and the bottom surface of the vibrating body are provided with the torsional PZT plates, the torsional PZT plates are polarized along the thickness direction of the vibrating body, and the polarization directions of two adjacent torsional PZT plates are opposite; the bending PZT plates are arranged at the nodes corresponding to the bending vibration on the two sides of the vibrating body, and the polarization directions of the bending PZT plates are the same. The four-foot vibrating body of the torsional / bending composite vibration type is designed, and the torsional excitation mode of the'reverse polarization and synchronous excitation' is designed, so that the electromechanical coupling degree of the linear ultrasonic motor is improved, and the problems of small driving force and low mechanical output caused by the vibration mode of the traditional vibrator are solved.

The application discloses a photosensitive neuron driving electromechanical coupling system, a synchronous control method and application thereof, and electromechanical coupling bionic control technology field, and relates to the technical field of establishing a new type of neural circuit for interacting with external light energy; the neural circuit is used as a driving mechanical arm device of an electrical system to establish an electromechanical coupling circuit system; the response dynamics of the electromechanical coupling system is explored, and it is found that there are periodic bifurcations similar to "arc-shaped curves" and "folding shapes" in a multi-parameter space; capacitor is used as a carrier to study the Hamilton energy balance and complete synchronization of the electromechanical system under the electric field coupling; and resistance is used as a carrier to study the energy evolution of the mechanical arm coupling array when the functional parameters such as light intensity and coupling strength change.

The application relates to the technical field of resonators, and discloses a MEMS resonator and a preparation method thereof. The preparation method of the MEMS resonator comprises the following steps: forming a first wafer, wherein the first wafer at least comprises a first monocrystalline silicon layer; forming a second wafer, wherein the second wafer at least comprises a second monocrystalline silicon layer and a piezoelectric material layer located on the second monocrystalline silicon layer; bonding the first wafer and the second wafer to form a laminated structure comprising the first monocrystalline silicon layer, the piezoelectric material layer and the second monocrystalline silicon layer, and performing high-doping treatment on the first monocrystalline silicon layer and the second monocrystalline silicon layer before or after bonding; and performing deep reactive ion etching on the laminated structure to form a resonator body, a connecting beam and an anchor, wherein the resonator body is arranged in a suspended mode, and the resonator body is connected with the anchor through the connecting beam. The application improves the electromechanical coupling efficiency and the quality factor of the MEMS resonator, and guarantees the temperature stability of the MEMS resonator.

The invention relates to a wheel polygon wear suppression method, an inter-harmonic excitation suppression circuit, a method and a medium, and relates to the technical field of railway traction transmission. On the basis of inter-harmonic excitation suppression and polygon wear feedback suppression, the malignant feedback effect caused by electromechanical coupling is weakened, and therefore suppression of polygon wear development of the wheel is achieved; the inter-harmonic excitation suppression comprises the following steps of: arranging an active power filter in a direct current link, and compensating direct current link power fluctuation caused by harmonic waves introduced by a rectifier; the polygon abrasion feedback suppression comprises the steps that compensation current is calculated based on the rotating speed fluctuation quantity under polygon abrasion excitation, and the T-axis current of the motor is compensated. According to the scheme, corresponding technical measures can be put forward from the two aspects of inter-harmonic excitation source suppression and polygon wear feedback suppression, comprehensive suppression of development of polygon wear of the wheel is achieved, polygon wear of the wheel caused by electrical parameters is reduced, and the method has the advantages of being low in implementation cost and not prone to being affected by the external environment.

The present disclosure belongs to the technical field of live-line work robots of power distribution networks, and provides a multi-parameter collaborative optimization method for an electromechanical coupling system based on a GRPO reinforcement learning algorithm, which comprises the following steps: acquiring multi-parameter operation data of the electromechanical coupling system during operation; pre-processing the acquired operation data; constructing a state vector based on the pre-processed operation data; constructing a GRPO reinforcement learning collaborative optimization model based on the GRPO reinforcement learning algorithm; inputting the state vector into the GRPO reinforcement learning collaborative optimization model; and the GRPO reinforcement learning collaborative optimization model obtains an optimization strategy through interactive learning with the electromechanical coupling system. The framework based on the reinforcement learning of the present disclosure enables the optimization strategy to adapt to changes in system operation conditions, environmental disturbances and parameter drift caused by component aging in real time, and maintains the robustness of the optimization effect.