20 results about "Electro mechanical coupling" patented technology

The invention discloses a magnetic-mechanical-electric coupling amplitude-change pole simulation method based on finite element analysis, and relates to the technical field of magnetoelectric antenna simulation. The magnetic-mechanical-electric coupling amplitude-change pole simulation method based on finite element analysis comprises the steps that parametric modeling is carried out, and a multi-physical field environment is imported; defining material attributes; solid mechanics, an electrostatic field and a magnetic field are coupled, and piezoelectric and piezomagnetic effects are started; dividing grids and configuring a solver; executing simulation calculation; and evaluating displacement and stress results and performing iterative optimization. According to the magnetic-mechanical-electric coupling amplitude-change pole simulation method based on finite element analysis, through multi-physics field coupling simulation, electric-mechanical-magnetic energy conversion is accurately simulated, the problem of traditional simulation distortion is solved, a high-performance amplitude-change pole capable of amplifying the amplitude of a permanent magnet sheet to 9 micrometers is guided to be designed, and the radiation capacity and reliability are remarkably improved.

The invention relates to a multi-degree-of-freedom forming robot inertia identification compensation method and system, and the method comprises the following steps: S1, building a multi-degree-of-freedom forming robot electromechanical coupling dynamic model, and representing the inertia force and Coriolis force in the electromechanical coupling dynamic model through equivalent mass and equivalent damping, the electromechanical coupling dynamic model determines the influence of inertia force and Coriolis force on the control precision; s2, a multi-degree-of-freedom forming robot inertia identification model is established, and the inertia identification model carries out real-time self-adaptive adjustment on adjustment parameters by using the change rate of an identification result; and S3, a self-adaptive PI control model of the multi-degree-of-freedom forming robot is established, and the self-adaptive PI control model determines the mapping relation between PI parameters and equivalent mass and equivalent damping. According to the method, the change rate of the identification result is used for carrying out real-time self-adaptive adjustment on the adjusting parameters, so that real-time accurate identification of the equivalent mass and the equivalent damping is realized, and the control precision of the multi-degree-of-freedom forming robot at a high speed can be remarkably improved.

The invention relates to the technical field of railway electric traction transmission, in particular to an irregular wheel wear detection method based on stator current analysis, which comprises the following steps of: constructing an electromechanical coupling model of a high-speed train traction transmission system based on a traction variable-current driving model and a train-track coupling power model; secondly, based on an electromechanical coupling model, the influence of irregular wear of the wheel on electrical parameters in an electric driving system is analyzed, and the frequency relation between irregular wear excitation and the electrical parameters (stator harmonic current) is established; and by constructing a comb filter based on variable mode decomposition, accurate capture of wheel wear related harmonic waves in stator current is realized, so that irregular wear of the wheel is detected, additional installation of a sensor is not needed, the cost is low, the method is not liable to be interfered by the external environment, and the method has relatively good engineering applicability.

An electromechanical coupling parameter identification and motor control parameter frequency domain setting method comprises the following steps: establishing a permanent magnet synchronous motor electrical parameter identification mathematical model, setting a robot excitation experiment, collecting joint permanent magnet synchronous motor data in the experiment process, and identifying joint permanent magnet synchronous motor electrical parameters from the joint permanent magnet synchronous motor data; and a control system model comprising a permanent magnet synchronous motor current loop, a speed loop and a position loop is established, optimized three-loop control PI parameters are obtained according to joint permanent magnet synchronous motor electrical parameters, a robot controller is arranged, and the position tracking precision of each joint motor is improved. According to the method, single off-line setting of the motor by adopting nominal electromechanical coupling parameters can be avoided, accurate setting of three-loop control parameters of the motor is realized, the position tracking error of the permanent magnet synchronous motor of each joint of the industrial robot is reduced, and the positioning precision of an end effector of the industrial robot is improved.

The invention particularly relates to a random response analysis method for a piezoelectric-electromagnetic hybrid energy collector under pulsating wind excitation, and the method comprises the steps: building a mechanical vibration equation containing a galloping aerodynamic item and a time-delay feedback control item, and enabling the mechanical vibration equation to be combined with a piezoelectric voltage state equation and an electromagnetic current state equation to form an initial electromechanical coupling equation set; therefore, the mechanical end dynamics and the energy conversion effect of the two branches are simultaneously represented in the same model. Introducing the dimensionless fluctuating wind speed into galloping aerodynamic force and performing equivalent modeling by using multiplicative noise so as to explicitly map the fluctuating wind speed into a state-related random excitation item; voltage and current variables are equivalent to algebraic terms of displacement and speed by adopting harmonic transformation, and an equivalent decoupling system is obtained, so that model variable transformation is realized, and the analytical solution efficiency is improved; and finally, a steady-state probability density function is obtained based on energy envelope random averaging, and a random response analysis result is calculated according to the steady-state probability density function, so that a reliable basis is provided for evaluation of control parameters and energy harvesting performance.

This invention discloses a method for adjusting the end effector stiffness of a hybrid robot used in the machining of thin-walled structural parts. The method first collects the proportional gain of each active branch servo drive system as the axial servo stiffness; secondly, it establishes a mapping model based on the robot configuration to solve for the equivalent axial servo stiffness of the end effector in the reference coordinate system; subsequently, it introduces stiffness weighting coefficients and combines them with the mechanical stiffness and electromechanical coupling stiffness performance evaluation index; finally, it uses a one-dimensional discrete search algorithm to traverse and filter redundant rotation angles that satisfy displacement and rotation constraints while keeping the end effector pose unchanged, aiming to maximize the electromechanical coupling stiffness index and generate an optimal sequence of redundant rotation angles. This invention establishes an electromechanical coupling model integrating mechanical and servo systems and adaptively adjusts the end effector stiffness using redundant degrees of freedom, which can effectively suppress cutting deformation and chatter during the machining of thin-walled parts while reducing computational complexity, significantly improving machining quality.

A shift actuator active disturbance rejection control system and control method, the control method comprising the steps of: S1. Obtain the structural parameters and operating parameters of the electromagnetic direct drive shift actuator, and establish an electromechanical coupling mathematical model acting on the actuator; S2. Construct a second-order nonlinear active disturbance rejection controller based on the electromechanical coupling mathematical model; S3. Introduce a BP neural network in the second-order nonlinear active disturbance rejection controller for adaptive setting, take the error and change rate of the system as input, and take the key parameters of the active disturbance rejection controller as output, adjust the network weight in real time, realize the self-learning and self-optimization of the control parameters; S4, apply the adaptive setting active disturbance rejection controller to the displacement closed-loop control of the electromagnetic direct drive shift actuator. The control system comprises: an electromagnetic direct drive shift actuator, which comprises an adaptive setting active disturbance rejection controller. The application significantly improves the position control accuracy and long-term running stability under complex working conditions.

The utility model relates to the technical field of automation equipment, in particular to a spiral lifting device which comprises a rotating mechanism and a lifting mechanism which are used for synchronously driving a transferring structure to spirally move along a spiral track. The executing end of the rotating mechanism is in driving connection with the lifting mechanism; the executing end of the lifting mechanism is in driving connection with at least one shifting arm; during working, the rotating mechanism drives the lifting mechanism and the material shifting arm to rotate, and the lifting mechanism drives the material shifting arm to do lifting motion in the rotating process so that the material shifting arm can push or pull the transferring structure to move along the spiral track. The spiral lifting device is driven by the rotating mechanism and the lifting mechanism to decompose spiral motion into independent driving of rotating and lifting, horizontal rotating motion and lifting motion are matched through electromechanical coupling, and existing complex mechanical linkage conveying and mechanical structures are replaced; the material shifting device is relatively simple in structure and easy to control, the space phase of the material shifting arm and the space phase of the spiral track are accurately matched, the failure rate during use is low, and the manufacturing, use and maintenance cost is reduced.

Hybrid group for rotationally driving fans (1) of vehicle engines, comprising an electromechanical coupling (40) for taking up the movement from the crankshaft of the vehicle and an electric motor (10) which can be powered independently of the combustion engine, respectively connected to the driven shaft (2) which drives the fan (1), the group being characterized in that the electric motor (10) is arranged upstream of the electromechanical coupling (40) in the axial direction (X-X) and is integral with a bell member (5) fastened to the base (3) of the combustion engine.

The invention discloses a series elastic actuator joint system high-dynamic torque control method, which comprises the following steps of: determining a dynamic transfer relationship between a motor electromagnetic torque and a torsion spring output torque by establishing a mechanical-electric coupling model, and analyzing a voltage limited mechanism and a weak magnetic pressure release principle; designing a control framework containing a linear expansion state observer, estimating the output torque, the torque change rate and the lumped disturbance of the torsion spring in real time, and preprocessing the torque demand to avoid high-frequency oscillation; four types of operation conditions are divided, and the optimal d-axis current increment and the optimal q-axis current increment are solved in combination with linearized current and voltage constraint and torque requirements. According to the control method, the weak magnetic track can be smoothly switched, accurate disturbance compensation and high-dynamic torque response under voltage constraint are realized, and the torque tracking accuracy under complex working conditions is remarkably improved.

This invention relates to a method, apparatus, device, and medium for modeling the dynamics of electromechanical coupled gears. The method involves: determining the bearing type, motor parameters, and gear parameters in the gear system; based on the determined bearing type, motor parameters, and gear parameters, calculating the time-varying contact stiffness of each bearing, the time-varying meshing stiffness of each gear stage, the motor torque, and the unbalanced magnetic pull of the motor rotor; constructing the motor rotor dynamics equation and the electromechanical coupled gear dynamics equation; establishing a state-space equation by simultaneously solving the motor rotor dynamics equation and the electromechanical coupled gear dynamics equation; and solving the state-space equation to obtain the gear vibration displacement. The electromechanical coupled gear dynamics modeling method of this invention can more accurately calculate the output vibration displacement and vibration acceleration of the gear system in an electric drive assembly, thereby obtaining dynamic response characteristics of the gear system in an electric drive assembly that are more consistent with reality.

The invention discloses a four-arm symmetrical structure electric-magnetic-mechanical energy combined acquisition device and method suitable for a non-intrusive voltage sensor, and belongs to the technical field of multi-source energy acquisition. The device is composed of a base, a fixed restraining rod and four piezoelectric cantilever beams, the four cantilever beams are distributed in the X-axis direction and the Y-axis direction respectively, a four-arm symmetrical structure is formed, and electromagnetic disturbance signals in multiple directions can be responded at the same time. The cantilever beam comprises a magnetic-mechanical-electric coupling energy-taking cantilever beam and an electric-mechanical-electric coupling energy-taking cantilever beam which are respectively integrated with a magnetostrictive material and a dielectric elastomer, and are superposed with a piezoelectric crystal and a spring steel sheet, so that external electric field or magnetic field energy is converted into mechanical energy through a magnetostrictive or electrostrictive effect; and the piezoelectric crystal converts the electric energy into electric energy for output. The device is compact in structure and sensitive in response, can efficiently collect stray electromagnetic field and environment vibration energy in a power system, and provides stable self-powered support for a non-intrusive electric field sensor.

The application belongs to the field of climbing robots, and discloses a climbing robot convenient to expand, which has good expansion configuration capability, so that the formation structure of the robot can be flexibly adjusted according to a scene, and is very flexible. The climbing robot comprises a main vision module, a trunk module, at least two limb chain units, a wrist module and a suction module. The end of the main vision module, the limb chain unit and the suction module is provided with an electromechanical coupling female end. The trunk module and the wrist module are provided with a plurality of electromechanical coupling male ends. The electromechanical coupling male end and the electromechanical coupling female end are correspondingly matched, so that one end of the main vision module and the limb chain unit is detachably connected with the trunk module, the other end of the limb chain unit and the suction module are detachably connected with the wrist module. The limb chain unit comprises an arm module and two joint composite pieces. The arm module is in the shape of a rod and is provided with an electromechanical coupling male end at both ends. The joint composite piece comprises at least two joint servo motors, and the joint composite piece can realize torque output in at least two dimensions.

The invention provides a method for optimizing the dynamic reliability of a dangerous resonance component of a permanent magnet electric drive gear transmission system, and the method comprises the following steps: building an electromechanical coupling dynamic model of the system, and recognizing a dangerous resonance rotating speed and a component through a Campbell diagram and a modal energy method; applying a rain flow counting method and a modified P-S-N curve to analyze the strength degradation of the component, and establishing a dynamic reliability evolution model of the component; and a two-stage nesting strategy of firstly optimizing motor PI parameters and then optimizing mechanical parameters is adopted to carry out parameter optimization on the components which do not meet the life reliability requirement. According to the method, rapid prediction and collaborative optimization of the dynamic reliability of the dangerous resonance component can be realized in the design stage, and repeated design and expensive tests caused by resonance in the later stage are avoided, so that the research and development cycle is shortened, and high reliability and long service life of the system in the whole life cycle are guaranteed.

This invention discloses a hydro-turbine-electric coupling control method for hydropower units in the field of hydropower station energy dispatching technology. It includes analyzing the interaction mechanism of physical quantities among the hydraulic system, turbine, and electrical system in a hydro-solar combined power generation system. Based on this analysis, it constructs an elastic water hammer model, a turbine model, a regulating system model based on a PI-type governor and a hydraulic servo system, and a generator model. It then uses coupling variables such as head, flow rate, unit speed, and electromagnetic power to establish a complete hydro-turbine-electric coupling time-domain simulation model. Finally, it incorporates actual power station operating data and verifies the model's accuracy by comparing the measured data with the simulation results. This invention can fully reflect the dynamic coupling relationship between multiple hydro-turbine-electric subsystems, improving the model's response accuracy and stability under frequency disturbances and load changes.

The invention relates to a motor cross coupling effect identification and compensation method for a multi-degree-of-freedom forming robot. The method comprises the following steps: S1, establishing a kinematics model, a mechanical dynamics model, a permanent magnet synchronous motor dynamics model considering the cross coupling effect and an electromechanical coupling dynamics model of the multi-degree-of-freedom forming robot; s2, establishing a motor cross coupling angle identification model of the multi-degree-of-freedom forming robot in combination with an electromechanical coupling dynamic model; and S3, combining the electromechanical coupling dynamics model and the motor cross coupling angle identification model to establish a multi-degree-of-freedom forming robot dynamics feedback control model, wherein the multi-degree-of-freedom forming robot dynamics feedback control model comprises coupling field orientation control, load feedback control and dynamics feedback control. High-precision and high-efficiency forming of the thin-wall high-rib component is achieved, and the forming precision can be guaranteed on the premise that the forming speed is increased.

The application discloses a kind of anti-stuck chain belt type automatic feeding industrial control system and method, belong to machine tool fieldbus control system technical field, comprising: in operation high-frequency perturbation excitation signal is applied, and multi-dimensional state signals such as motor current, rotating speed and vibration acceleration are collected;Dynamic mechanical impedance spectrum is identified based on electromechanical coupling model, and impedance eigenvector representing microscopic stick-slip effect is extracted;According to the vector, the resistance evolution trajectory is predicted and the risk level of sticking is determined;When there is risk, impedance parameters are used as hard constraint conditions, and a nonlinear speed-torque composite control trajectory is generated based on multi-objective optimization;Finally, the adaptive anti-sticking action is executed by the driving system and the model is iteratively corrected.The application breaks through the hysteresis of traditional threshold monitoring, accurately captures the micro-sticking precursor, realizes active defense, and effectively guarantees the production rhythm.

This application relates to a method, apparatus, device, readable storage medium, and program product for processing vehicle electromechanical coupling simulation models. The method includes: performing dynamic simulation under preset operating conditions on a pre-constructed electromechanical coupling simulation model of a vehicle; collecting load data for at least two force transmission paths in the vehicle electromechanical coupling simulation model; converting the load data of each force transmission path into a vibration contribution corresponding to each force transmission path using a pre-established vehicle vibration frequency response model; determining the path to be optimized among the at least two force transmission paths based on the vibration contribution of each force transmission path; and optimizing the target parameters associated with the path to be optimized in the electromechanical coupling simulation model until the electromechanical coupling simulation model meets preset vehicle design objectives. This method can improve vehicle development efficiency.

This invention discloses a trajectory planning and control method for a semiconductor wafer transport robot, comprising: acquiring robot structural parameters, constructing an electromechanical coupling mechanical model, and obtaining the mapping relationship between the robot's kinematic state, mechanical load torque, and motor electromagnetic loss; based on the mapping relationship between load torque and electromagnetic loss, introducing a temperature-resistance dynamic correction model and normalized weights for the motor windings to obtain a generalized coupling cost density function; acquiring wafer and environmental parameters, and calculating the triple failure thresholds of wafer translational slippage, rotational slippage, and micro-tilting through multi-body contact mechanics and aerodynamic equilibrium equation analysis; based on the generalized coupling cost density function and the triple failure thresholds of the wafer, obtaining a globally optimal reference trajectory through an improved dynamic programming algorithm and cubic spline interpolation; and based on the globally optimal reference trajectory and low-level sensor feedback, using an energy-sensing sliding mode control strategy to output and execute control commands to drive the robot.

A sensing device (100) for detecting an analyte in a fluid comprises: a piezoelectric substrate (105) having an outer surface (105 '); at least one R-SAW transmitting interdigital transducer (111) arranged on the outer surface (105 ') and arranged to transmit Rayleigh-type surface acoustic waves, also referred to as R-SAW, in response to an electrical input signal, said R-SAW transmitting along a first transmission direction x; and at least one SH-SAW transmitting interdigital transducer (112) arranged on the outer surface (105 ') and arranged to transmit shear horizontal surface acoustic waves, also referred to as SH-SAW, in response to an electrical input signal, said SH-SAW transmitting along a second transmission direction y. In particular, the piezoelectric substrate (105) is made of a material selected from 64 DEG Y cut lithium niobate and 163 DEG Y cut lithium niobate such that the piezoelectric substrate (105) supports shear horizontal surface acoustic waves as its main mode defined as surface acoustic waves exhibiting greater electromechanical coupling on the piezoelectric substrate (105). Furthermore, the first emission direction x and the second emission direction y have a relative angle such that the first emission direction x and the second emission direction y have.