2941 results about "Magneto" patented technology

The invention discloses a permanent magnet motor demagnetization fault diagnosis method based on deep learning, and relates to the technical field of permanent magnet motor fault diagnosis, and the method comprises the steps: collecting the operation state data of a permanent magnet synchronous motor and a fan in real time through a sensor network, and generating a basic variable; multi-modal features in the basic variables are extracted, a health index sequence is constructed, and a demagnetization risk score is generated; setting a self-adaptive diagnosis opportunity control strategy, and determining the opportunity of next diagnosis detection according to the current demagnetization risk score; establishing a demagnetization risk prediction model, predicting a demagnetization risk score at the next diagnosis time, generating a dynamic risk threshold value, and judging whether a demagnetization early warning decision is triggered or not; allocating a maintenance task priority according to the current demagnetization risk score and the historical mode; comprehensively calculating the overall health index of the fan system, and predicting the residual life of the fan permanent magnet motor. According to the method, the problem of resource waste caused by unreasonable diagnosis time in the demagnetization fault diagnosis of the permanent magnet motor is solved.

The invention provides a permanent magnet motor and a scroll inverter compressor, and relates to the technical field of scroll compressor design and manufacturing, and the permanent magnet motor comprises a stator iron core and a rotor iron core; the stator core comprises stator teeth and a stator yoke which are uniformly distributed along the circumference, fluid through grooves are formed in the outer side of the stator yoke at the tops of the stator teeth, stator grooves are formed in two adjacent stator teeth and the stator yoke between the two stator teeth, and a plurality of strands of conductive circular enameled wires are embedded in each stator groove; the outer side of the rotor core is composed of linear segments and arcs, air grooves which are evenly distributed are formed in the rotor core, non-uniform magnetic isolation bridges are formed between the air grooves and the linear segments on the outer side of the rotor core, a certain distance is formed between every two adjacent air grooves, parallel magnetic conductive ribs are formed, and permanent magnets with the magnetic field directions changing alternately are embedded in the air grooves. A rivet hole, a lightening hole and a shaft hole are arranged close to the inner side of the rotor core. Therefore, the defined proportionality coefficient Ks is kept in a reasonable range, the power density of the motor can be increased, the cost is reduced, and the efficiency is improved.

The invention discloses a variable air gap domain-based permanent magnet motor topology hierarchy optimization design method and a motor, and the method comprises the steps: firstly determining an electromagnetic performance layer optimization target, constructing a geometric parameter model, carrying out the dimensionality reduction of a high-dimensional parameter, and constructing a first hierarchy optimization sub-model I; performing geometric parameter optimization on the stator and rotor basic domain by combining a multi-objective optimization algorithm to obtain an optimized motor I; analyzing and optimizing the characteristic electromagnetic force of the motor I under different working conditions to serve as a second-level optimization target, constructing a second-level optimization sub-model II, performing small-scale online topological optimization in combination with a multi-target genetic algorithm, performing secondary design on a motor air gap design domain, obtaining a sample data set, constructing a parallel agent model, and constructing a second-level optimization sub-model II; then large-scale off-line topological optimization is carried out, and remodeling of a motor air gap design domain is achieved; and performing simulation evaluation on the final optimized motor. According to the method, on the premise that the vehicle permanent magnet driving electromagnetic performance is kept, electromagnetic vibration noise under multiple working conditions is suppressed, and meanwhile optimization efficiency is remarkably improved.

The invention provides a rotor iron core, a permanent magnet motor and an inverter compressor, and relates to the technical field of motor and compressor design and manufacture, the rotor iron core comprises uniformly distributed permanent magnet grooves, a groove is arranged between two adjacent permanent magnet grooves, each groove extends inwards along the radial direction of the rotor iron core, parallel magnetic bridges are arranged between the grooves and the permanent magnet grooves, and the permanent magnet grooves are connected with the parallel magnetic bridges. A first magnetic barrier groove, a second magnetic barrier groove and a third magnetic barrier groove which are symmetrically distributed are formed in the two sides of the top of each permanent magnet groove respectively, a first arc and a second arc are arranged on the outer side of the rotor core above the magnetic barrier grooves, the second arc intersects with the side edge of the groove, and permanent magnets with alternating magnetism are embedded in the permanent magnet grooves. The radius Rr of the outer side of the rotor iron core, the distance ho from the middle point of the bottom of the permanent magnet groove to the center point of the rotor iron core and the thickness hm of the permanent magnet meet the condition that (Rr-ho) / hm is larger than 2 and smaller than or equal to 3.4. By reasonably arranging the position and the size of the magnetic barrier groove, magnetic circuit distribution can be changed, magnetic flux leakage can be reduced, the power density of the motor can be increased, and electromagnetic vibration noise of the motor and the compressor can be reduced.

The invention belongs to the technical field of permanent magnet synchronous generator demagnetization fault detection, and particularly discloses a permanent magnet motor fault early warning system based on big data, which comprises a high-frequency injection and grid-connected control module, a fault early warning module and a fault early warning module, actively injecting a high-frequency disturbance signal of which the frequency is higher than the fundamental frequency into a control loop of the permanent magnet synchronous generator; the multi-source synchronous acquisition module is used for synchronously acquiring multi-dimensional operation parameters of the permanent magnet synchronous generator and performing time domain alignment and frequency domain separation on the multi-dimensional operation parameters to obtain synchronous acquisition signals; the composite feature extraction module is used for extracting a multi-dimensional demagnetization criterion of the permanent magnet synchronous generator based on the synchronous acquisition signal; the self-adaptive threshold regression prediction module is used for performing fusion evaluation on the multi-dimensional demagnetization criteria by using the demagnetization health index model to generate a demagnetization judgment result of the demagnetization degree of the permanent magnet synchronous generator; the method has the advantages that the demagnetization recognition accuracy is improved, and early warning is achieved.

The invention provides a permanent magnet motor based on permanent magnet included angle optimization and a cogging torque suppression method thereof.The permanent magnet motor comprises a stator iron core, an armature winding, rotor iron cores and permanent magnets, and each pole of rotor iron core is provided with two sets of first V-shaped permanent magnet grooves and second V-shaped permanent magnet grooves which are symmetrical about the center line of the rotor iron core and are different in size; the permanent magnets are arranged in the first V-shaped permanent magnet grooves and the second V-shaped permanent magnet grooves respectively, the permanent magnets in the first V-shaped permanent magnet grooves and the second V-shaped permanent magnet grooves are arranged in a V-V shape, the included angle between the permanent magnets in the first V-shaped permanent magnet grooves is alpha, the included angle between the permanent magnets in the second V-shaped permanent magnet grooves is beta, and the permanent magnets in the first V-shaped permanent magnet grooves and the permanent magnets in the second V-shaped permanent magnet grooves are separated by the aid of an NSGA-II algorithm under the condition that the distance of the magnetic isolation bridge is unchanged. By adjusting the angle between the permanent magnets in the first V-shaped permanent magnet grooves and the second V-shaped permanent magnet grooves, the best matching combination of the small permanent magnet included angle alpha and the large permanent magnet included angle beta is optimized, and the arc-shaped auxiliary grooves are formed in the surface of the rotor iron core, so that the cogging torque of the permanent magnet motor is optimized.

The invention discloses a magnetorheological damper durability test device, and particularly relates to the field of magnetorheological dampers, the magnetorheological damper durability test device comprises a box body and a to-be-tested magnetorheological damper, the rear end of the box body is provided with a test cavity with a triangular cross section, and the interiors of the left and right inclined side walls of the test cavity are respectively provided with a liquid storage cavity and an equipment cavity. According to the durability test device for the magneto-rheological damper, the material spraying assembly is arranged, water or powder can be sprayed to the magneto-rheological damper, the device is used for simulating a rainy day environment or simulating a dust and gravel road surface, and the complex environment encountered by the magneto-rheological damper in actual use is truly restored; meanwhile, the amplitude adjusting assembly allows the amplitude of vibration applied to the shock absorber to be accurately and continuously adjusted, and road surfaces with different jolting degrees are simulated. According to the invention, environmental factors such as water, dust, temperature, amplitude, inclination angle and the like can be independently controlled, so that test results can more accurately reflect the durability of the magnetorheological damper under specific working conditions, and data one-sidedness is avoided.

The invention discloses a multi-turn memory optomagnetic encoder hybrid system, belongs to the technical field of position and angle measurement encoders, and aims at solving the problems that an existing optomagnetic hybrid encoder is complex in signal processing, long in axial length, insufficient in precision stability and prone to losing the number of turns and the position. The system comprises an optical encoder, a gallium arsenide magnetic signal acquisition sensor, a multi-antipode unequal magnetic ring, a processor, a hardware circuit, an ultra-low power consumption circuit, a signal acquisition module, a signal processing module and the like, integrates self-developed magnetic angle analysis, turn number memory correction and other algorithms, and adopts dual-redundancy design and intelligent signal mode switching. The method simplifies the signal processing flow, shortens the axial length, improves the measurement precision and stability, enhances the environmental adaptability and fault-tolerant capability, prolongs the endurance, and is suitable for the position angle measurement in a high-precision and severe environment.

The invention discloses a motor, a compressor and refrigeration equipment, and relates to the technical field of permanent magnet motors, stator teeth and stator slots on the inner circumference of a stator core are alternately distributed, windings are arranged in the stator slots, the number of the stator slots is Q, the diameter of the maximum outer circle contour of the stator core is D1, the diameter of the maximum circle contour defined by the slot bottoms of the plurality of stator slots is D2, the diameter of the minimum inner circle outline of the stator core is D3, the rotor is rotatably mounted in the stator, the number of pole pairs of the rotor is P, and GCD (Q, P) * (D1-D2) / 2) / ((D1-D3) / 2) is greater than or equal to 1.4 and less than or equal to 2.6, and ((D2-D3) / 2) / (D3 / 2) is greater than or equal to 0.3 and less than or equal to 0.42, and GCD (Q, P) is the largest common divisor of Q and P. The technical scheme provided by the invention aims at balancing the rigidity and temperature of the stator, and ensuring the low-noise operation of the motor and the operation reliability of the motor at the same time.

The invention discloses a fault detection method suitable for a permanent magnet motor sewage pump, and particularly relates to the technical field of motor equipment operation fault detection.The fault detection method comprises the following steps that stage division is conducted on the operation process of the permanent magnet motor sewage pump, and staged dynamic baselines corresponding to all operation stages are established; extracting transient abrupt change of the operating parameters under the dynamic baseline constraint and forming a transient abnormal event sequence; the method comprises the following steps: judging the damage degree grade of a transient abnormal event, continuously accumulating risk integrals, outputting early warning information when a risk reaches a trigger condition, and generating an operation disposal instruction; according to the invention, by constructing a staged dynamic baseline and extracting a transient abnormal event, accurate identification of abnormal behaviors in different operation stages is realized; and in combination with a continuous accumulation mechanism of the damage degree grade and the risk integral, when the risk reaches a triggering condition, an early warning is output, and an operation disposal instruction is generated, so that the accuracy, timeliness and operation safety of fault detection of the permanent magnet motor sewage pump are improved.

The invention provides a laser plasma sound barrier and magneto-rheological antiknock array collaborative protection method. The method comprises the following steps: firstly, constructing a collaborative protection structure consisting of a laser plasma sound barrier layer and a magneto-rheological antiknock array layer; a shock wave leading signal is detected in real time and input into a preset multi-dimensional feature model, the model dynamically generates a protection strategy, and a sound barrier instruction and an anti-explosion instruction are output respectively. The laser plasma sound barrier layer outputs specific reverse sound waves according to a sound barrier instruction and attenuates shock waves through destructive interference; meanwhile, the magneto-rheological anti-explosion array layer instantaneously solidifies a magnetic field according to an anti-explosion instruction, and shock wave energy is efficiently absorbed. According to the laser plasma sound barrier and magneto-rheological anti-explosion array cooperative protection method provided by the invention, the cooperative protection structure and the preset multi-dimensional feature model are constructed, so that the cooperative effect of the sound barrier and the anti-explosion array is realized, the response speed to shock waves is increased, the energy processing efficiency is improved, and the adaptability and reliability of protection are enhanced.

The invention provides an insulating material surface arc ablation resistance simulation method based on magnetohydrodynamics, and belongs to the field of insulating material performance detection. The method comprises the following steps: establishing an insulating material surface arc ablation resistance model; constructing a magnetohydrodynamic control equation set; setting boundary conditions of the model; and iteratively solving the magnetohydrodynamic control equation set through finite element simulation software to obtain a temperature distribution diagram of the insulating material under different arc ablation times, and comparing the temperature distribution diagram with a TGA curve of the insulating material to judge the arc ablation resistance of the insulating material. According to the invention, the power-frequency alternating-current high-voltage arc and the insulating material are used as simulation objects, engineering practice is better met, the surface arc ablation resistance process of any insulating material can be simulated by changing the physical characteristic parameters of the insulating material, and the TGA curve of the material is introduced to judge the arc ablation resistance of the insulating material. And technical support is provided for high-voltage switch equipment insulating material type selection.

The invention discloses an adjustable flat plate type ozone generating device and an adjusting method thereof. The adjustable flat plate type ozone generating device comprises an ozone generating assembly, a radial magnetic field adjusting assembly and an axial magnetic field adjusting assembly, the radial magnetic field adjusting assembly comprises a radial rail base and a spiral line base disc, a plurality of radial rails are arranged on the surface of the radial rail base at equal intervals in the circumferential direction, and magnets are arranged in the radial rails in a sliding mode. The axial magnetic field adjusting assembly comprises a base and an axial track, the radial track base is installed on the base, and the base is driven by a ball screw mechanism to move on the axial track in a reciprocating mode. By arranging the radial and axial adjustable magnetic fields, the motion trail and energy distribution of high-energy electrons in the discharge channel are optimized, the activity of ozone generation reaction is effectively enhanced, and the device can maintain high ozone output efficiency for a long time in actual operation due to the establishment of a magnetoelectric cooperative discharge environment; meanwhile, through a mechanical adjustment structure of the electrode spacing and area, discharge parameters can be optimized in real time according to different working condition changes, the fluctuation of ozone yield is remarkably reduced, and the continuity and stability of system operation are ensured.

Disclosed in the present application are a double-rotor magnetic flux switching permanent magnet electric motor, a double-rotor magnetic flux switching permanent magnet electric motor optimization method and optimization device, a medium and a product. The double-rotor magnetic flux switching permanent magnet electric motor comprises an inner rotor, an outer rotor and an intermediate stator, wherein the intermediate stator comprises a stator core; permanent magnets are arranged inside the stator core on two sides thereof; the stator core comprises a plurality of toothed portions; and an excitation winding is arranged between every two adjacent toothed portions.

The invention discloses an OEO amplifier with a high-speed hard switching function and an optical transmission system, and relates to the technical field of optical amplifiers, the OEO amplifier comprises three magneto-optical switches, an optical splitter group, a photoelectric detector group, a real-time comparison circuit, a logic gate control circuit and a driving circuit; the photoelectric detector group collects optical signal power to generate an electric signal; the real-time comparison circuit performs voltage threshold judgment on the electric signal; the logic gate control circuit is connected with the output end of the real-time comparison circuit so as to synchronously control the switching states of the three magneto-optical switches according to a voltage threshold judgment result; the driving circuit is used for driving the magneto-optical switch to synchronously execute a switching action; when the OEO amplifier detects that optical signals in any direction are interrupted, all the magneto-optical switches finish synchronous switching within 100 microseconds, and the end-to-end optical signal switching time difference is smaller than 2 picoseconds. The method is suitable for a single-fiber bidirectional optical communication environment requiring high frequency, high precision and high stability.

The invention discloses a deep-cone thickener rake frame driving method and system based on a permanent magnet motor, and belongs to the technical field of mine solid waste disposal and filling, and the method comprises the following steps: collecting real-time operation parameters of the permanent magnet motor, the real-time operation parameters including stator current, voltage, rotating speed and output torque; based on the output torque, whether the deep-cone thickener is in a rake pressing state or not is recognized, and when the deep-cone thickener is in the rake pressing state, the reference rotating speed of the permanent magnet motor is controlled to be reduced; the real-time temperature of a stator winding and a rotor permanent magnet area in the permanent magnet motor is obtained, and when the real-time temperature is higher than a preset threshold value, the output power of the permanent magnet motor is controlled; acquiring historical load data of the deep-cone thickener, and modeling the historical load data and the output torque to obtain a historical load-torque model; and constructing a torque change prediction model based on the historical load-torque model, predicting future torque data by using the torque change prediction model, and identifying an impending rake pressing risk.

The invention discloses an outer rotor permanent magnet synchronous motor torque optimization method, which comprises the following steps: 1) design parameter selection: selecting key characteristics of a motor stator slot as design parameters, including slot shoulder height Hs1, tooth length Hs2, chord length Bs0 and slot shoulder width Bs1; 2) finite element model construction: establishing a multi-target finite element model with cogging torque, torque pulsation and average torque as targets; 3) establishing an analytic model: establishing the analytic model of the motor torque by using an energy method and a repetitive unit method, and comparing the analytic model with the finite element model to verify the accuracy of the analytic model; 4) response surface model construction: based on the simulation data of the finite element model, performing finite element analysis by adopting a central composite design CCD, constructing a response surface model, performing sensitivity analysis on design variables, and determining the influence of each variable on an optimization target; and 5) optimization efficiency improvement: determining optimal configuration in a design space by using an adaptive genetic aggregation algorithm AGA, and achieving a multi-objective optimization effect.

The invention discloses a flux linkage tracking full-speed-domain high-precision predictive current control method for a permanent magnet synchronous motor, and the method comprises the steps: sampling a phase current signal, a position signal and a speed signal of the permanent magnet synchronous motor, and obtaining a dq sampling current through coordinate transformation; calculating a predicted current according to the established tracking discrete model; the sinusoidal variation characteristic and the dynamic transient characteristic of the resistance voltage drop are accurately considered in the current prediction and reference voltage calculation stage, and the resistance voltage drop is accurately represented through accurate feed-forward compensation of predicted current and reference voltage; a driving signal of the inverter is obtained through coordinate transformation and space vector modulation, and full-speed-domain high-precision fast-response current prediction control over the permanent magnet motor is achieved. According to the method, the current flow steady state control error caused by the model error is reduced, the current control precision and the dynamic response performance of the permanent magnet synchronous motor in the full-speed domain are effectively improved, and a high-precision model basis is provided for high-precision position-free control and parameter online identification.

The invention discloses a three-dimensional magnetic flux disc type motor with axial and radial mixed magnetic flux, which belongs to the technical field of permanent magnet motors, and comprises a rotor mechanism and a stator mechanism, the stator mechanism comprises an iron core, the iron core is mounted on a mounting position, the iron core is provided with axial stator teeth, and the axial stator teeth are provided with axial windings. The iron core is provided with radial stator teeth, and the radial stator teeth are provided with radial windings. The axial rotor comprises an axial rotating disc and first permanent magnets, and the first permanent magnets are evenly arranged on the axial rotating disc at intervals in the circumferential direction. The radial rotor comprises a radial rotating disc and second permanent magnets, and the second permanent magnets are evenly arranged on the inner wall face of the radial rotating disc at intervals in the circumferential direction. According to the three-dimensional magnetic flux disc type motor with the axial and radial mixed magnetic flux, it can be ensured that the motor has high power and high torque density, the motor can meet the high-power working requirement, and the whole motor can be lightened while the structural size of the motor is reduced as much as possible.

The invention discloses a novel induction-type magneto-thermo-acoustic detection method for the conductivity of a supercapacitor, and relates to the technical field of nondestructive material detection.The method comprises the steps that a steady-state static magnetic field and a pulse alternating magnetic field are introduced to form a composite excitation field, and a magneto-acoustic effect and a thermo-acoustic effect are simultaneously and cooperatively excited in a solid-state electrode material; the magnetoacoustic-thermoacoustic coupling effect is formed, eddy current induced by a pulse alternating magnetic field in the material not only generates joule heat, but also generates a direct carrier of Lorentz force under the action of a steady-state static magnetic field, the two physical effects are derived from the same electromagnetic excitation process, but the mechanisms for generating acoustic signals are complementary to each other, so that the effect of the magnetoacoustic-thermoacoustic coupling is achieved. The two effects are coupled as a unified sound source item, a sound pressure wave equation is established, the equation describes a sound field excitation process under the combined action of a force source and a heat source, the coupling mechanism remarkably enhances the strength and information abundance of ultrasonic signals, and the inherent defect that a single thermoacoustic detection method is insensitive to a high-conductivity material is overcome.

The invention relates to the technical field of robot intelligent actuators, and discloses a magneto-rheological end effector accurate grasping system based on force feedback, which comprises a multi-curved-surface bionic fingertip formed by a magneto-rheological elastomer, and a three-dimensional distributed excitation coil array is embedded in the fingertip. The coil array is excited by a high-frequency chopping constant-current driving module to generate a space gradient magnetic field, and the magnetic field changes the shear modulus of the elastomer within millisecond-level time, so that the fingertip surface hardness jumps in real time along with a control instruction; and the force feedback closed-loop control unit comprises an ultrathin film strain sensing net attached to the inner curved surface of the fingertip. Through time-sharing switching of a negative pressure micropore adsorption layer and a magneto-rheological rigidity keeping mode, traditional adsorption and rigid clamping are changed into a pre-fixing and rigidity gradual change two-section type process, instantaneous force impact during adsorption release is eliminated, meanwhile, thin film wrinkling caused by continuous negative pressure is avoided, and it is ensured that an ultrathin and high-added-value workpiece is kept flat and traceless in the whole transfer process.

The invention relates to a high-power water-cooling permanent magnet synchronous motor for engineering machinery, in particular to a high-efficiency heat dissipation motor system adopting a double-heat-pipe coupling cooling structure, which is characterized in that array flat heat pipes and high-speed working condition self-backflow rotating heat pipes are respectively integrated in a stator and a rotor, so that stator-rotor double-channel, phase-change and rapid heat conduction is realized; and the thermal control capability and reliability of the motor are improved. According to the motor, a plurality of ultrathin flat heat pipes are symmetrically arranged on the outer circle of a stator and are in one-to-one correspondence with winding notches, so that a rapid and efficient stator heat conduction path is formed; and meanwhile, the hollow rotating shaft made of sintered copper powder is designed into a rotating heat pipe structure, so that the heat of the rotor can be quickly transferred to the water-cooling casing through a bearing area, and the efficient cooling of the rotor assembly is realized. The double-heat-pipe structure constructs a stator and rotor independent heat dissipation channel through a phase change heat transfer mechanism, motor size constraint is not changed, temperature rise of windings and permanent magnets is remarkably reduced, heat balance and system stability are improved, and the double-heat-pipe structure is particularly suitable for high-load working conditions such as engineering machinery.

The invention relates to the field of motor structure design and optimization, and discloses a cogging torque and torque ripple optimization method for a permanent magnet motor for a vehicle. The method comprises the steps that based on an electromagnetic scheme, a geometric boundary and a term dictionary, a parameterized geometric prototype containing four symmetric semi-arc auxiliary grooves is constructed, and a design variable set structure is generated; converting the structure into a target evaluation interface structure containing a target item and a constraint item; an improved adaptive particle swarm algorithm is combined with finite element rapid check and a new iteration function to carry out optimization solution, and an updated candidate group structure is generated; and finally, optimal parameters are screened through Pareto sorting and robustness recheck, and an engineering configuration structure is generated. According to the method, through systematic parameter modeling, an efficient collaborative optimization algorithm and simulation evaluation, the optimization efficiency and reliability are remarkably improved, the cogging torque and the torque ripple of the motor are effectively reduced, and meanwhile, the process feasibility and the performance robustness of a design scheme are ensured.

The invention discloses an electric vehicle permanent magnet motor control method and system based on temperature rise prediction, and belongs to the field of motor control. The method comprises the following steps: generating motor temperature rise sample data based on a meshless method; a chaotic mapping-dream optimization algorithm is adopted to optimize multivariate variational mode decomposition parameters, and high-precision temperature rise data are reconstructed; a GNN-BILSTM-Attention prediction model is constructed, and a space-time double Attention mechanism is fused to predict a future temperature rise; and establishing a temperature rise-electromagnetic parameter mapping model, designing a graded early warning control strategy, and forming a prediction-control closed loop. According to the invention, the speed and precision of temperature rise prediction are improved, prediction-control deep coupling is realized, and the operation reliability and control precision of the motor are significantly enhanced.

The invention relates to the technical field of flywheel energy storage equipment, in particular to a flywheel rotor dynamic balance self-adaptive adjusting method and system based on magnetorheological fluid. The method comprises the steps that the sealing state of a magnetorheological fluid cavity is detected through a pressure sensor, and it is ensured that the pressure in the cavity is stable and free of leakage; the non-contact displacement sensor executes zero calibration, and output signal fluctuation is controlled within a preset range; carrying out no-load test on a current output port of the self-adaptive control module; when the rotating speed rises from a static state to a preset rotating speed value, a sensor of the real-time monitoring module synchronously collects a radial vibration signal of the rotor, decomposes a fundamental frequency vibration component with the same frequency as the rotating speed, and calculates the amplitude and the phase of the unbalance; when the rotating speed is stabilized in a preset rotating speed interval, the self-adaptive control module enters a closed-loop adjusting state, and when an unbalanced phase is calculated according to detection, a corresponding compensation quadrant fan-shaped cavity is locked, and the current of an electromagnetic coil is adjusted; the problem of traditional adjustment lag is solved, and over-compensation and under-compensation under variable working conditions are avoided.

The invention discloses a double-stator permanent magnet motor structure, and relates to the technical field of motors. One end of the inner stator shaft is fixed on the motor rear end cover, the other end of the inner stator shaft is suspended, and the motor rear end cover is connected with the casing; the inner stator bracket is fixed on the inner stator shaft; the inner rotor iron core and the outer rotor iron core are respectively fixed on the inner ring and the outer ring of the magnetism isolating ring, and the two ends of the magnetism isolating ring are supported and fixed through the rotor front end cover and the rotor rear end cover; the double-row cylindrical roller bearing is radially arranged between the rotor rear end cover and the inner stator shaft; the cylindrical roller bearing is radially arranged between the rotor front end cover and the motor front end cover, and the motor front end cover is connected with the shell; the deep groove ball bearing is axially arranged between the rotor front end cover and the inner stator shaft; the outer stator iron core is pressed into the heated and expanded casing; and the inner stator iron core is thermally sleeved on the inner stator bracket. Through configuration and arrangement of the three bearings, oil injection and discharge positions are all located outside the motor, the working temperature of the bearings is effectively reduced, and the service life is prolonged.

The invention discloses a high-robustness deadbeat predictive current control method which is suitable for current control of a dual three-phase permanent magnet motor driving system, and belongs to the technical field of permanent magnet motor control. The method mainly comprises the following steps: reconstructing a motor mathematical model by adopting a space vector decoupling matrix and Park transformation to obtain a motor voltage equation under a dqxy axis; designing a linear expansion state observer; a reference value of an output voltage vector is obtained in combination with deadbeat predictive current control; time delay in the digital control system is calculated, and angle delay is compensated; and designing a closed-loop Smith predictor for compensating a time delay link to complete high-robustness dead-beat predictive current control of the dual three-phase permanent magnet motor. The current loop design in the method does not depend on motor parameters, and the method has high parameter change robustness. By introducing the closed-loop Smith predictor, large delay of the system can be effectively compensated, and high-precision current tracking is realized under low switching frequency.

The invention relates to a direct-drive permanent magnet motor speed optimization control method based on multi-strategy self-evolution perception fusion and toughness control, and solves the problems of poor model adaptability, sensitive sensor fault, weak disturbance suppression and the like in the prior art. The adopted technical scheme is that the method comprises the following steps: establishing a self-evolution motor modeling system; on the basis of a motor modeling system, credibility evaluation is carried out on collected multi-source motor operation data, and a fusion state estimation result is generated in combination with a multi-scale residual weighting mechanism; constructing a cognitive main controller, and outputting a motor speed optimization control signal; and setting a light fault threshold value and a heavy fault threshold value, constructing a three-level toughness control mechanism, and performing graded response on faults to realize fault recovery. The method has the advantages that the motor speed control precision, the system stability and the self-adaptive capacity are remarkably improved.

The invention provides a stress detection system and method based on active and passive dual modes, and relates to the technical field of stress detection, and the system comprises a stress sensor and a data processing module which are in communication connection. The stress sensor comprises a first coil assembly, a second coil assembly and a three-axis magneto-dependent sensor. The first coil assembly is configured to apply a square wave current to the first coil assembly through the excitation source to generate an ACSM effect; the data processing module is configured to collect a voltage signal and a phase signal of the second coil assembly under the ACSM effect; collecting a magnetic field signal of the three-axis magneto-dependent sensor; performing feature extraction on the voltage signal, the phase signal and the magnetic field signal to obtain feature data; and inputting the characteristic data into the joint characteristic decoupling mathematical model, and determining the pipeline stress value of the to-be-detected pipeline, so as to solve the problems that an existing stress sensor is large in error during detection in a low-stress area, and the accuracy of a detection result is low due to interference of an environmental magnetic field.

The invention discloses a position-free sensing method for a joint module based on rotating speed estimation and virtual Z correction. The method comprises the following steps: firstly, acquiring three-phase current of a permanent magnet motor for a joint module, and acquiring d-axis estimated current of a current period based on a d-axis current model in combination with a state quantity of the permanent magnet motor in a previous control period; based on the d-axis estimated current, constructing a rotating speed estimator taking the d-axis estimated current error as a sliding mode surface to obtain the estimated rotating speed of the motor rotor; integrating the estimated rotating speed, and combining with the initial position of the rotor to obtain the estimated position of the motor rotor in the current period; at the same time, at the zero crossing point of the stator phase current, the estimation position is forcibly corrected to a predetermined electrical angle corresponding to the zero crossing point so as to eliminate the integral error. The invention aims to directly estimate the rotating speed without depending on any intermediate signal, and simulate the correction mechanism of a mechanical sensor to eliminate the estimation error, thereby realizing high-performance noise-free full-speed-domain position-free sensing control.