76 results about "Mechanical dynamics" patented technology

The invention relates to the technical field of data processing, in particular to an accelerometer vibration rectification error analysis method, which comprises the steps of receiving multiple paths of accelerometer original current signals, processing acquired data and outputting a feature point coordinate sequence with confidence; according to the confidence and the optimization algorithm combination in the frequency band distribution characteristic dynamic scheduling knowledge base, calculating a local statistical data set; inputting the data set into a mechanical dynamics model to execute trajectory simulation, and inputting a control model reconstruction signal to compare a dual-path positioning drift distance difference to generate an error correction coefficient matrix; outputting a knowledge base updating instruction and a parameter resetting instruction by adopting a matrix reconstruction vibration rectification error quantized value; a quantized value is imported to calculate theoretical angle deviation and verify convergence, and the neural network is triggered to be retrained when the deviation exceeds a threshold value. Through a non-smooth feature extraction algorithm and a closed-loop feedback mechanism, the problem of signal distortion caused by smooth operation in the prior art is solved.

A virtual synchronization method for an energy storage system and a radial-flow water turbine generator set, said method comprising: analyzing characteristics of a radial-flow water turbine generator set, and designing a suitable energy storage system so as to smooth the power fluctuation of the radial-flow water turbine generator set (S1); acquiring characteristic parameters of the radial-flow water turbine generator set, on the basis of the characteristic parameters, designing a virtual rotor model, and establishing a machinery dynamics equation (S2); on the basis of the virtual rotor model, designing a virtual synchronization controller, constructing a closed-loop control system, and implementing charging and discharging control for the energy storage system (S3); establishing a simulation model for coupling the energy storage system and the radial-flow water turbine generator set, and optimizing parameters of the controller (S4); and, on a test platform of an actual radial-flow water turbine generator set, implementing a proposed virtual synchronous control policy, and carrying out experiment verification and result analysis (S5).

The invention relates to the field of fault diagnosis, and discloses a drying machine fault diagnosis method based on deep reinforcement learning, which is used for improving the accuracy and control efficiency of drying machine fault diagnosis. A physical dynamic model fusing thermodynamics and mechanical dynamics is constructed, real-time quantitative evaluation is performed on system stability in combination with a Lyapunov function, and a fault propagation path is visually displayed by using a directed topology network. Firstly, dryer multi-source parameters are obtained to establish a dynamic model; positioning a fault source component and calculating the network influence degree of the fault source component; and a self-adaptive control instruction and a topology suppression instruction are generated, control parameters are dynamically adjusted, fault propagation is suppressed, the control instruction is converted into an actuator driving signal, and accurate control over the drying machine is completed. Through deep fusion of a physical model and data driving, the fault diagnosis accuracy and the control efficiency are remarkably improved, the troubleshooting time is effectively shortened, the production safety is guaranteed, and the method is suitable for intelligent operation of the drying machine under the complex working condition.

The invention provides a simulation method of a direct current electromagnetic switch series connection multi-fracture arc. The method comprises the following steps: S1, coupling electromagnetic system simulation and mechanical dynamics, namely obtaining a two-dimensional interpolation table of electromagnetic attraction, coil current and iron core displacement through electromagnetic system simulation, and importing a mechanical dynamics simulation model to obtain the breaking speed of a direct-current electromagnetic switch contact; s2, magnetic induction intensity of different positions is obtained through a magnetic blow-out system model, and based on the magnetohydrodynamic theory, a physical field is coupled to establish an arc simulation model of a single fracture; s3, performing series multi-fracture arc simulation by means of coupling an external circuit; according to the method, the influence of different parameters (the number of fractures, asynchronous breaking time, breaking speed, magnetic induction intensity distribution, gas physical property parameters, different loads and the like) on the evolution process of the series multi-fracture arc can be analyzed.

The invention discloses a dynamic simulation modeling method for a compressed air energy storage system based on AMESIM and application, and belongs to the technical field of compressed air energy storage.The method comprises the steps that firstly, system indexes are determined, based on the system indexes, a system technological process diagram is designed, main equipment and auxiliary equipment are selected, and design point parameters of the main equipment and the auxiliary equipment in the energy storage and release stage are determined; then, according to the equipment model selection result, sub-models of all elements in the air circulation loop and the heat storage and exchange loop are selected in the AMESIM; thirdly, calibrating and verifying each main equipment sub-model by utilizing main equipment characteristics and model selection parameters, and building a steady-state simulation model of the compressed air energy storage system; and then, constructing a dynamic simulation model based on the steady-state model, and carrying out dynamic simulation verification and evaluation. According to the method, the co-simulation model integrating thermodynamics, fluid mechanics, control theory and mechanical dynamics can be quickly built, and the method has the advantages of being high in model modeling precision, high in multidisciplinary coupling calculation capacity, high in simulation efficiency and the like.

The invention relates to the technical field of non-road mobile mechanical dynamics models, in particular to a method for establishing a digital model of a vibration system of a road roller. The method comprises the following steps: acquiring an initial pavement material vibration characteristic data set; performing multi-physical field coupling analysis on the initial pavement material vibration characteristic data set to obtain pavement material response characteristic data; performing dynamic system modeling on the vibration system of the road roller based on the pavement material response characteristic data to obtain an initial digital model of the vibration system; performing dynamic feature extraction on the initial digital model of the vibration system to obtain dynamic parameter mapping data of the vibration system; and performing parameter calibration on the initial digital model of the vibration system based on the dynamic parameter mapping data of the vibration system to obtain a digital model of the vibration system. The intelligent vibration system model can accurately capture the dynamic characteristics of soil, and the optimal compaction effect is achieved.

The invention relates to the technical field of mechanical dynamics, and discloses a gear dynamics modeling method considering meshing position change influence. A gear meshing stiffness model adopted by the gear dynamics modeling method does not simplify the meshing stiffness between a driving gear and a driven gear into the meshing stiffness which equivalently acts on a node and is fixed in spatial position and only variable in amplitude, but truly considers the change of an instantaneous meshing position between gear teeth of the driving gear; that is to say, the adopted gear meshing rigidity model not only considers the change of the rigidity amplitude in the time dimension, but also considers the change of the rigidity position in the space dimension, and the gear meshing rigidity model is more in line with the actual meshing state of the gear.

The present invention discloses a data prediction method and system for thermal power plant equipment, specifically relating to the technical field of power equipment condition monitoring, and is used to solve the problem that the existing prediction of thermal power plant equipment leads to misjudgment of the health state due to the confusion between the working condition noise and the fault signal characteristics under dynamic working conditions; by collecting multi-source operation data and classifying them into load working condition intervals, extracting time-frequency domain characteristics to construct a working condition feature set; dynamically detecting the load switching frequency and analyzing the cross-condition consistency to mark the abnormal working condition intervals; combining the historical degradation stage matching results to decompose the non-abnormal working condition characteristics to generate a degradation feature subset; correcting the degradation features through the coupling of mechanical dynamics and thermodynamic parameters; finally, inversely positioning the fault source equipment along the fault propagation map and generating maintenance instructions; realizing the separation of dynamic working condition characteristics and the fusion of physical mechanisms, effectively improving the accuracy of thermal power plant equipment degradation prediction and the reliability of maintenance decisions.

The invention relates to the technical field of mechanical dynamics analysis and mechanism simulation, and discloses a guide rail impact and dynamic analysis method for a three-degree-of-freedom flat-bottom push rod cam mechanism, which comprises the following steps of: establishing a global coordinate system and a local coordinate system, and defining a push rod as a rigid body with three degrees of freedom of transverse, longitudinal and rotation; the effective input displacement of the cam is corrected according to the rotation angle, and the normal contact force, the friction force and the total cam contact torque are calculated; meanwhile, collision between four corners of the push rod and the guide rail is monitored, and guide rail impact force and guide rail impact total torque are calculated. And constructing a coupling dynamics differential equation set by integrating the force and the torque, and solving a motion state by using numerical integration. And further identifying the dynamic behavior of the system by using a Poincare section and a quintuple impact mode code. Simulation of inclination, overturning and multi-point impact of the push rod is achieved, the period, bifurcation and chaotic motion states of the system can be effectively recognized, and theoretical support is provided for mechanism optimization design.

The invention discloses a Bayesian optimization estimation method for kinetic parameters of a rotating machine, and the method comprises the steps: synchronously collecting a key phase signal and a transient vibration signal when the rotating speed of the rotating machine changes, and reconstructing a rotating speed pulse time sequence and a time domain signal; fourier transform is carried out on the vibration signal, and transient response data of a specified order is extracted; deleting the displacement offset in the transient response data; function fitting is carried out on the transient response data after offset elimination, and a transient response function with the rotating speed or the frequency as an independent variable and the amplitude as a dependent variable is generated; defining an optimization parameter space and a target function; and transmitting the target function and the optimization parameter space to a Bayesian optimization model to obtain an optimal parameter combination, and identifying the dynamic parameters of the rotating machinery based on the optimal parameter combination. The method can reduce the cost of computing resources, has wide parameter adaptability, and can estimate various kinetic parameters such as support stiffness and structural damping.

The invention relates to an industrial motor bearing fault monitoring method and device and a medium, and belongs to the technical field of industrial motor fault monitoring. The method comprises the following steps: establishing a voltage equation, a flux linkage equation, a torque equation and a mechanical kinetic equation of the industrial motor; calculating an inductance matrix of the motor by adopting a winding function correction method; establishing a feature model of the industrial motor bearing fault; and obtaining a fault category according to the established feature model of the industrial motor bearing fault. According to the method and the device, the induction motor with the bearing fault can be dynamically simulated, the stator current spectrum can be calculated to identify the corresponding fault characteristics, and the severity of the bearing fault can be quantified by monitoring the amplitude of the corresponding fault current component.

The invention relates to an electromechanical coupling rotor system starting and vibration suppression method based on fuzzy PID control, and belongs to the field of electromechanical coupling rotor systems. According to the method, an 8-degree-of-freedom rotor system mechanical dynamics model and an equivalent motor model are established through a finite element method, an electromechanical coupling rotor simulation model is established based on Matlab / Simulink, and then a fuzzy PID control module is established to be assembled with an electromechanical coupling rotor system. Finally, simulation analysis is conducted on the electromechanical coupling rotor assembled with the fuzzy PID control module and the normal PID control module, and the result shows that the fuzzy PID control module can effectively shorten the starting response time of the rotor system and the vibration amplitude during stable operation.

The invention provides a traditional opera action analysis method and device fusing an energy field, equipment and a storage medium. Relates to the field of Chinese opera action analysis and digital protection. According to the method, a time-joint-energy field three-dimensional analysis model is constructed based on three-dimensional attitude, mechanical dynamic and thermal gradient data acquired by multi-modal motion capture. The method focuses on feature extraction and energy analysis at the same time, in the aspect of feature extraction, an adaptive derivative operator is adopted to accurately capture subtle motion changes, and curvature extreme value detection is applied to accurately position motion trajectory inflection points. In an energy analysis level, a diffusion tensor and source item intensity are calculated based on an energy transfer partial differential model. In addition, the energy transfer path and the key force application point in the throwing and recycling actions of the water sleeve are mainly analyzed, and the instantaneous action characteristics of the water sleeve are accurately captured. Finally, a visual analysis report is generated, accurate data support is provided for teaching, digital inheritance and virtual performance, and scientific evaluation and quantitative analysis of opera actions are achieved.

The application relates to the technical field of mechanical dynamics, and discloses a gear dynamics modeling method considering the influence of meshing position change. The gear dynamics modeling method realized by the method adopts a gear meshing stiffness model which no longer simplifies the meshing stiffness between a driving wheel and a driven wheel into equivalent meshing stiffness acting on a node with a fixed spatial position and only a change in amplitude, but truly considers the change of the instantaneous meshing position between the driving wheel and the driven wheel, that is, the gear meshing stiffness model considers the change of the stiffness amplitude in the time dimension and the change of the stiffness position in the space dimension, and the gear meshing stiffness model is more in line with the actual meshing state of the gear.

The present application relates to the technical fields of mechanical dynamics analysis and mechanism simulation, and discloses a guide rail impact and dynamic analysis method of a three-degree-of-freedom flat push rod cam mechanism, comprising the following steps: establishing global and local coordinate systems, and defining the push rod as a rigid body with three degrees of freedom of lateral, longitudinal and rotation; correcting the effective input displacement of the cam according to the rotation angle, and calculating the normal contact force, friction force and total cam contact moment; at the same time, monitoring the collision of the four corner points of the push rod with the guide rail, and calculating the guide rail impact force and total guide rail impact moment; and constructing coupled dynamics differential equations by comprehensively using the above forces and moments, and solving the motion state by using numerical integration. Further, the dynamics behavior of the system is identified by using Poincaré section and five-element impact mode code recognition system. The present application realizes the simulation of push rod tilting, overturning and multi-point impact, can effectively identify the periodic, bifurcation and chaotic motion state of the system, and provides theoretical support for mechanism optimization design.

This invention belongs to the field of mechanical dynamics technology, and discloses an improved method, medium, and electronic device for load-bearing contact analysis of spiral bevel gears. Based on the tooth contact analysis method, the geometric parameters of the tooth surfaces of the large and small gears are obtained, a load-bearing contact analysis model of the spiral bevel gear pair is constructed, and the overall compliance matrix, overall contact compliance matrix, and local contact compliance matrix of the tooth surface are calculated. A deformation compatibility iterative equation is established, its ill-conditioned nature is analyzed, and a preprocessing matrix is ​​established to improve the deformation compatibility iterative equation. After improvement, the time-varying meshing stiffness and tooth surface load are solved. Based on the tooth surface load, the principal curvature of the tooth surface of the large and small gears is calculated using the Euler analytical method and the principal direction is determined. The contact stress is then solved using Hertz contact theory. This method improves upon the problems of traditional tooth load-bearing contact analysis methods, which suffer from low accuracy and efficiency due to the ill-conditioned nature of the contact compliance matrix under low load conditions and the reliance on numerical differences for curvature calculation.

The application relates to the technical field of data processing, in particular to an accelerometer vibration rectification error analysis method, which comprises the following steps: receiving multiple original current signals of accelerometers, processing collected data to output a characteristic point coordinate sequence with confidence; dynamically scheduling an optimization algorithm combination in a knowledge base according to the confidence and frequency band distribution characteristics to calculate a local statistical data set; inputting the data set into a mechanical dynamics model to perform trajectory simulation, simultaneously inputting a control model to reconstruct a signal to generate an error correction coefficient matrix by comparing the differences of double-path positioning drifts; adopting the matrix to reconstruct a vibration rectification error quantitative value to output a knowledge base update instruction and a parameter reset instruction; importing the quantitative value to calculate a theoretical angle deviation and verify convergence, and triggering neural network retraining when the deviation exceeds a threshold value. Through a non-smooth feature extraction algorithm and a closed-loop feedback mechanism, the signal distortion problem caused by the smoothing operation in the prior art is solved.

The invention belongs to the field of hydroelectric generation control engineering and fluid mechanical dynamics, and particularly discloses a starting-up optimization control method of a large hydroelectric generating set based on full-view simulation and dynamic verification. Comprising the steps of multi-dimensional real machine test database construction and benchmark evaluation, one-dimensional system simulation and macroscopic boundary definition, three-dimensional high-fidelity transient flow field simulation and microscopic mechanism insight, startup law dynamic optimization based on simulation insight and'simulation-test 'technology closed loop and iterative refining. Compared with the prior art, one-dimensional system simulation and three-dimensional high-fidelity flow field simulation are organically combined for the first time, the problem of comprehensive analysis from the macroscopic hydraulic transition process to the microcosmic complex flow mechanism is solved, the'full-transparency 'insight of the starting process is achieved, multiple performance indexes such as vibration, throw, stress and temperature can be considered at the same time, and the method is suitable for large-scale popularization and application. And the overall stability of the unit is synergistically improved.

The invention provides a fire fighting truck boom design method and device, electronic equipment and a storage medium. The method comprises the following steps: establishing a multidisciplinary joint simulation model; setting an initial design variable set; generating multiple groups of first design variable combinations based on a preset test design method; comparing each group of first design variable combinations with an allowable error range of a corresponding to-be-selected parameter in a to-be-selected parameter library, and screening out multiple groups of second design variable combinations; inputting each group of second design variable combinations into a simulation model, simulating hydraulic parameter change through a hydraulic system simulation module, calculating boom dynamic response through a mechanical dynamics simulation module, and obtaining boom linear velocity fluctuation amplitude of each group of second design variable combinations; according to the method, the shaking conditions of the boom under different working conditions and different design variables can be obtained without actual tests, the optimal parameters are determined, a theoretical basis is provided for model selection and design of the boom of the fire fighting truck, the development cost of the fire fighting truck is saved, and the development period is shortened.

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 invention relates to the technical field of wind power generation, in particular to a full-dynamic direct-driven wind turbine generator impedance modeling method and system, which are used for carrying out small-signal linearization on wind turbine torque and electromagnetic torque, constructing a single-mass-block motion equation of a direct-driven wind turbine generator and analyzing the mechanical dynamic of a rotating speed small signal. Then, analyzing the rotating speed dynamic states of the permanent magnet synchronous motor and the machine-side converter, and establishing small signal models of the permanent magnet synchronous motor and the machine-side converter; and further constructing a small signal model of the electromagnetic torque and the instruction value thereof by using the small signal models. The integral of a mechanical dynamic function is solved through an electromagnetic torque model, the angle difference of a coordinate system is considered, the conversion relation between armature current and motor end voltage is established, and the impedance model of the direct-driven wind turbine generator considering mechanical dynamics is constructed based on the conversion relation. According to the invention, an accurate impedance model is constructed.

The invention relates to the technical field of automobiles, and particularly provides a Transform-based torque prediction method, system and device and a medium, and the method comprises the steps: collecting the operation parameters and historical torque data of an automobile transmission system; performing preprocessing such as denoising, normalization and feature extraction on the data; the preprocessed data are input into a Transform model and a physical knowledge encoder in parallel, the Transform extracts time sequence features through a multi-head attention mechanism, and the physical encoder calculates physical features based on a kinetic equation; fusing the two-way features through a self-adaptive gating mechanism; and inputting the fusion features into a gating cycle unit for prediction, and embedding physical state space constraints in hidden state update of the GRU to ensure that a prediction result accords with a system dynamics law. Through the parallel architecture and physical constraint design, deep fusion of data driving and mechanical dynamics is realized, and the torque prediction precision and physical rationality are remarkably improved.

The present application relates to the field of metal continuous casting automation control, and discloses a copper rod processing and manufacturing process linkage control system and method, the method comprising: dividing the cast blank into virtual slices according to the pulse signal to construct a data queue; calculating the heat content characteristics of the temperature and flow signals, processing abnormal data and marking characteristic anchor points; combining the linear speed to deduce the theoretical time stamp of the slice reaching the rack; comparing the torque differential polarity and the heat content mutation direction within the theoretical time window to verify the signal, extracting the actual time stamp to correct the theoretical time stamp; generating a feedforward torque instruction according to the heat content characteristics and issuing it to the frequency converter. Through the cross-checking of thermal state and mechanical dynamics and the adaptive correction of the time stamp, the temperature measurement distortion interference is eliminated, the spatial accurate alignment is realized, the torque reserve is established before the abnormal material contacts the rack, the hysteresis of the traditional passive control is overcome, the tension shock is reduced, and the risk of belt breakage is reduced.

The application relates to the technical field of mechanical dynamics, in particular to a fault gear time-varying meshing stiffness calculation method considering crack positions, which comprises the following steps: establishing a gear fault calculation model; determining corresponding crack category information, and pre-storing crack gear section division rules corresponding to the crack category information; detecting a crack position on the gear that has occurred a fault, adopting the crack gear section division rule to divide the crack position into sections to obtain a plurality of crack sub-sections; obtaining the bending stiffness and the shear stiffness of each crack sub-section for each crack sub-section; and summing the bending stiffness and the shear stiffness of each crack sub-section to obtain the bending stiffness and the shear stiffness of the fault gear. The bending stiffness and the shear stiffness of the fault gear can be obtained by inputting the parameters of the crack, and the calculation efficiency is higher.

The utility model provides a novel high-pressure crucible tablet press, which comprises a main body, a pressure head, a pressure head driving device and a turntable for placing a crucible, a groove for placing the crucible is arranged on the middle lower part of the main body, the pressure head driving device is arranged in a vertical groove arranged on the main body above the groove, the upper end of the pressure head driving device is connected with the main body, and the turntable is arranged on the upper end of the pressure head driving device. A rotary disc is arranged at the position, corresponding to the pressing head, of the lower surface of the groove. A Z-shaped pressing rod is fixedly arranged on the side face of the pressing head driving device, and a first reset spring is arranged at the upper end of the pressing head driving device and connected with the body. The compression bar has the advantages that space is saved, the size of the whole compression bar is smaller, installation and layout are more convenient, the mechanical mechanics principle is fully considered, and the length of a power arm of the compression bar is optimized. A pressure detection device and a pressure reading display function are added, so that the pressure when the crucible is pressed can be directly and accurately judged and read.

The invention discloses a high-precision flow display spraying machine, which comprises a motor, a plunger pump, an MCU (Microprogrammed Control Unit) controller assembly, a pressure sensor and a Hall sensing device, and is characterized in that the motor drives the plunger pump to work through a gear mechanism, and the gear mechanism adopts a fixed transmission ratio gear structure; the Hall sensing device is installed in the motor and transmits the motor rotating speed obtained in real time to the MCU controller assembly, and the pressure sensor is connected with the plunger pump and transmits the plunger pump conveying pressure obtained in real time to the MCU controller assembly. The invention further discloses a monitoring method adopting the spraying machine. The complex fluid mechanics and mechanical dynamics problems of non-Newtonian fluid are converted into a reliable software model based on a large amount of experimental data. A user can obtain an accurate measurement result comparable to that of a direct flow meter only by carrying out simple medium selection without knowing a complex back principle, and all reliability advantages brought by no flow meter are enjoyed at the same time.

The invention relates to the technical field of mechanical dynamics, in particular to a dynamic modeling method of a pipeline system containing a movable pipe joint, which comprises the following steps: establishing a movable pipe joint-pipeline system dynamic model based on a finite element method, in the dynamic model, establishing a model of a pipeline and a joint part according to a Tiushingeshu beam theory, and establishing a model of the pipeline and the joint part according to the Tiushingeshu beam theory; the equivalent stiffness of the movable pipe joint under the pre-compression state and the dynamic load of the sealing ring is considered; performing model verification on the established movable pipe joint-pipeline system dynamic model to obtain a verified model; and based on the verified model, simulating the influence of each excitation amplitude on the inherent frequency of the movable pipe joint-pipeline, and verifying the correctness of the movable pipe joint-pipeline system dynamic model. According to the method, the dynamic model of the aero-engine pipeline system containing the movable pipe joint is accurately constructed, and the inherent characteristics and the vibration response law of the system are accurately represented.

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.

The invention is suitable for the field of coating roller surface processing, and relates to coating roller peripheral side surface processing equipment which comprises a workbench, the workbench is fixedly connected with a supporting frame, the supporting frame is fixedly connected with an electric lifting rod, the telescopic end of the electric lifting rod is fixedly connected with a sliding plate, and the sliding plate is sleeved with a sliding cylinder; the sliding plate is in sliding and sealing connection with the side wall of the sliding cylinder, a closed hydraulic cavity is formed between the sliding plate and the sliding cylinder, a spring is connected between the sliding plate and the sliding cylinder, the hydraulic cavity is filled with lubricating oil, the hydraulic cavity is connected with a vibration reduction mechanism, and the lubricating oil can circularly flow between the vibration reduction mechanism and the hydraulic cavity. According to the grinding stability regulation and control system, multi-physical-field coupling is achieved, interaction of mechanical dynamics (grinding and vibration), thermodynamics (temperature) and fluid mechanics (lubrication) is integrated, a closed-loop suppression chain is formed, and the stability of the grinding wheel during working is improved.