6086 results about "Magneto" patented technology

The invention relates to the technical field of motor control, in particular to a permanent magnet motor current control system based on predictive compensation, which comprises a thermal field identification module, a response offset identification module, a correction track generation module, an amplitude limiting interval decision module and a compensation instruction output module. According to the method, a dynamic prediction correction mechanism is established based on thermal field characteristics and a response error trend, real-time adjustment of a current track of the permanent magnet motor is realized, a three-dimensional space thermal load curved surface is constructed by means of a stator temperature rise curve, a permanent magnet temperature change rate and driving torque fluctuation, and transient influence of thermal working condition change on magnetic performance of the motor is reflected. A multi-dimensional prediction compensation path is integrally constructed through interaction among multiple thermal field parameters, electromagnetic response variables and time sequence feature points, the response precision and control stability of the permanent magnet motor under the dynamic working condition are improved, the magnetic performance attenuation influence caused by thermal drift is reduced, and meanwhile the tracking consistency under current track disturbance is improved.

The invention provides a high-temperature chemical pipeline defect detection system and method based on magnetostrictive ultrasonic guided waves, and relates to the technical field of high-temperature chemical pipeline defect detection.The method comprises the steps that magnetostrictive excitation signals are applied, the propagation process of the guided waves in a pipeline is calculated through numerical simulation, and the amplitude and phase information of guided wave signals is obtained; performing time-frequency domain analysis on the guided wave signal, extracting group velocities and phase velocities of guided waves in different modes, determining frequency dispersion characteristics of the guided waves, and evaluating the influence of a high-temperature environment on guided wave propagation; processing the received guided wave signal by adopting a modal decomposition and reconstruction algorithm to obtain a corrected guided wave signal; and carrying out feature extraction and parameter estimation on the corrected guided wave signal to obtain the position, size and type information of the pipeline defect. According to the invention, the problem of multilayer heterogeneous pipeline guided wave detection in a high-temperature environment is solved, the accuracy and reliability of defect detection are improved, and an effective method is provided for pipeline health monitoring and safety assessment.

The invention provides an electricity price-based permanent magnet motor energy storage and optimization operation method and system, and relates to the technical field of motor energy storage and optimization operation, and the method comprises the steps: predicting the power of a motor through a deep belief neural network, predicting the electricity price through a space-time diagram convolutional neural network, and quantifying a system error in combination with a Gaussian mixture model, based on a prediction result, performing global optimization by adopting a quantum genetic optimization algorithm to obtain an initial optimization strategy set, applying the initial optimization strategy set to a meta-heuristic hybrid optimization model, generating a time sequence association control strategy, performing system modeling through a hybrid Gaussian-hidden Markov model, and constructing a double-layer action evaluation control network to generate an operation control instruction; a distributed reinforcement learning framework is used for cooperative control, and an optimal control strategy is obtained based on adaptive dynamic programming and a meta-learning strategy migration mechanism.

The invention provides a permanent magnet motor and a variable-frequency scroll 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 iron core comprises stator slots which are uniformly distributed along the circumference, copper windings are embedded in the slots, stator yokes which are uniformly distributed are arranged outside the bottom of each slot, each stator yoke is provided with an arc-shaped long slot, stator teeth are arranged between every two adjacent stator slots, and the tops of the stator teeth are sunken to form through-flow slots; the rotor core is internally provided with magnetic steel grooves which are uniformly distributed, two same first magnetic isolation grooves are arranged between two adjacent magnetic steel grooves, magnetic steel is arranged in the magnetic steel grooves, and the top of each magnetic steel is provided with two second magnetic isolation grooves which are symmetrically distributed. The outer side radius Rs1 of the stator core, the inner side radius Rs2 of the stator core and the axial length Lis of the stator core meet the following conditions: 1.282 < = Lis / (Rs1-Rs2) < = 2.778, and 34 < = Rs1-Rs2 < = 39 mm. The power density of the motor can be increased, the cost is reduced, the efficiency is improved, and the harmonic content is reduced so as to suppress torque ripple.

The present invention particularly relates to the field of permanent-magnet electric motors. Disclosed is a permanent-magnet synchronous electric motor with an externally mounted explosion-proof mechanism. The permanent-magnet synchronous electric motor comprises an enclosure, wherein the interior of an explosion-proof housing is divided into a first cavity and a second cavity by means of a first partition plate; auxiliary heat-dissipation fan blades are provided inside the first cavity, and the auxiliary heat-dissipation fan blades are fixedly arranged on a support shaft; the support shaft is in splined connection with an output shaft inside the enclosure; a heat-dissipation explosion-proof mechanism is provided inside the second cavity; and a high temperature display mechanism is provided on a side wall of an outer end of the explosion-proof housing. In the present invention, heat in the explosion-proof housing can be transmitted to sodium bicarbonate particles, and the sodium bicarbonate particles decompose under heat and can absorb heat when decomposing, thereby increasing the heat-dissipation efficiency of the enclosure; when an explosion occurs inside the enclosure, the air pressure and temperature inside the enclosure rapidly increase, and the air pressure can enter the explosion-proof housing and be relieved by means of heat-dissipation holes; in addition, an explosion-proof buffering airbag can play a role in buffering to achieve an explosion buffering function.

The invention provides a welding defect identification method, system and equipment for an automobile part and a medium, and relates to the technical field of automobile welding.The method comprises the steps that a structured light vision sensor and a high-frequency ultrasonic sensor are used for obtaining three-dimensional structured light data of a to-be-welded area of the automobile part and sound wave signals generated in the welding process; obtaining characteristic frequency information used for identifying welding internal defects; the method comprises the following steps: capturing a heat distribution image of a to-be-welded area of an automobile part through a thermal imaging camera to obtain area feature information used for identifying welding defect thermal anomaly, and obtaining magneto-optical signal feature information used for identifying welding defects; performing defect identification and classification on the fused feature representation by training a deep learning model to obtain a defect identification result; and welding parameters are adjusted through a simulated annealing algorithm, so that the welding defects of the automobile parts are recognized. According to the invention, various welding defects can be identified, so that the accuracy and efficiency of welding quality detection are remarkably improved.

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.

An electric machine includes a housing, a stator positioned in the housing and including a stator winding, and a rotor positioned in the housing configured to rotate about a machine axis and electromagnetically interactive with the stator across an air gap between the rotor and the stator. The rotor includes a rotor core, a plurality of permanent magnets located at the rotor core, and a rotor sleeve enclosing the rotor core and the plurality of permanent magnets. The stator is cooled via a flow of cooling oil, and the rotor is cooled via a flow of cooling air directed through the air gap between the rotor sleeve and the stator.

The invention belongs to the technical field of motor assembly, and particularly relates to a rare earth permanent magnet motor rotor magnetic sheet punching assembly machine which comprises a workbench, a rotating cylinder is rotationally connected to the workbench, a plurality of connecting plates are connected to the top of the workbench, a placing rotating plate driven by a driving mechanism is jointly rotationally connected to the connecting plates, and the placing rotating plate is fixedly connected with the rotating cylinder. A plurality of circles of arc-shaped holes allowing magnetic sheets of different sizes to pass through are formed in the containing rotating plate, and an ejection mechanism used for ejecting the magnetic sheets is arranged in the workbench. A limiting side plate, a side stop lever and an upper stop lever limit magnetic sheets on a placing strip, a pressing cylinder presses a rotor, a lifting cylinder or a sliding rod jacks up the magnetic sheets, a push plate pushes the remaining magnetic sheets, a placing rotating plate and the rotor rotate and then continue to be assembled, assembly automation is achieved, the working efficiency is high, the placing rotating plate is provided with arc-shaped holes of different sizes, and the working efficiency is high. The positions of the limiting side plate, the side stop lever, the upper stop lever and the sliding rod can be flexibly adjusted to adapt to magnetic sheets of different sizes, and the adaptability is high.

There is provided an intravascular blood pump for insertion into a patient's heart. The blood pump comprises a slotless permanent magnet motor contained within a housing, the motor having p magnet pole pairs and n phases, where p is an integer greater than zero, and n is an integer ≥3. The motor comprises a stator extending along a longitudinal axis of the housing and having 2np coils wound to form two coils per phase per magnet pole pair. The stator comprises inner and outer windings each comprising np coils electrically connected such that the current flowing through the coils is in the same direction, the coils of the outer winding arranged on an outer surface of the coils of the inner winding.

The invention relates to an air pressure imitating mode ultrasonic-assisted core-shell type abrasive magneto-rheological composite polishing machining and manufacturing method, which comprises the following steps of: 1) selecting a workpiece clamp, and mounting the workpiece clamp on an ultrasonic vibration table; (2) the workpiece is clamped on a workpiece clamp, and the outer surface of the workpiece is wrapped with a flexible polishing sleeve; (3) preparing a polishing solution of a novel composite grinding and polishing abrasive material with core-shell type nano magnetic particles-abrasive particles, and placing the polishing solution in a polishing solution supply device; (4) an airflow auxiliary module is started, the flexible polishing sleeve is made to be highly matched with the shape of the workpiece under the assistance of high-pressure gas, and a'simulation flexible grinding tool 'similar to the shape of the surface of the workpiece is formed; 5) starting a magnetic field control system; and (6) the ultrasonic transducer is started, the ultrasonic vibration table drives the workpiece to vibrate at a high frequency, and fretting friction of relative movement is generated between the workpiece and the imitation flexible grinding tool. Meanwhile, a matched device is provided. The machining efficiency is improved, and the problems of abrasive particle holding force regulation, efficient grinding and polishing of workpieces of different materials and shapes and the like are solved.

The invention provides a frequency conversion permanent magnet synchronous motor integrated device, and belongs to the technical field of permanent magnet synchronous motors, the frequency conversion permanent magnet synchronous motor integrated device comprises a bottom outer shell and a top outer shell, and the joint of the bottom outer shell and the top outer shell is fixed through a bolt; a permanent magnet motor main body and a frequency converter main body are fixedly mounted in the bottom outer shell and the top outer shell through heat dissipation fins, a heat dissipation and dust removal mechanism is arranged above the frequency converter main body, and the heat dissipation and dust removal mechanism comprises a first rotating rod; through the arranged heat dissipation and dust removal mechanism, when the permanent magnet synchronous motor works, a heat dissipation fan in the permanent magnet synchronous motor can synchronously work, heat in the motor is rapidly discharged to the outside, the heat is prevented from being accumulated in the shell, a cleaning brush can move up and down in the heat dissipation process, filtering holes of an annular lifting plate are cleaned, and the heat dissipation efficiency is improved. And dust is prevented from being accumulated at the filtering holes to block the filtering holes and affect the ventilation efficiency, so that the overall heat dissipation effect of the device is improved.

The invention discloses a high-precision position detection method for a permanent magnet motor system, and the method comprises the following steps: S1, building a harmonic counter electromotive force model of a permanent magnet motor, and analyzing the influence of the harmonic counter electromotive force on a position estimation error; s2, constructing an arcsine saturation function of which the boundary layer thickness is self-adjusted along with the error of the sliding mode surface as a switching function; s3, establishing a mathematical model of a sliding-mode observer based on an arcsine saturation function, and obtaining a parameter selection range by using a Lyapunov stability criterion; s4, carrying out Park conversion on the output value of the sliding-mode observer to obtain a direct current amount under a dq coordinate system; a first-order low-pass filter is used for filtering, fundamental wave counter electromotive force is reserved, and sine counter electromotive force is extracted from the fundamental wave counter electromotive force through Park inverse transformation; and S5, in combination with an orthogonal phase-locked loop, performing position estimation on the output sine counter electromotive force to obtain an estimated rotor position angle and an estimated rotor rotating speed. The precision and the dynamic performance of sensorless control of the permanent magnet motor can be improved.

The invention discloses a dual three-phase permanent magnet motor current control method and system under high speed and low carrier wave ratio, 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 VSD conversion and Park conversion; designing a linear expansion state observer; a reference value of an output voltage vector is obtained in combination with deadbeat predictive current control; and performing time delay compensation and angle delay compensation on the output voltage vector to obtain a reference value of a final output voltage vector, sending the reference value to an SVPWM module for modulation, and outputting a PWM pulse signal for driving a motor. No motor parameter is used in the current loop design process, system errors caused by mismatching of the motor parameters can be avoided, and the system robustness is improved; meanwhile, only one control parameter needs to be determined, the parameter setting difficulty is greatly reduced, and stable operation of the high-speed permanent magnet motor under the low carrier wave ratio is achieved.

The invention discloses a disc type permanent magnet motor control method and system with adaptive dead zone compensation, and the method comprises the steps: constructing a state equation, a state estimation equation and a state-space equation of a permanent magnet synchronous motor through the structure of a Luenberger observer, constructing an observable matrix through an output matrix and a system matrix, and verifying the output of an observable system; establishing a characteristic equation to enable the designed observer to be finally converged, reducing an error between an estimated value of the disturbance observer and an actual value of the system, and realizing digital control of an actual servo platform through a discrete observable matrix; a phase-A bridge arm of an inverter is analyzed, three-phase current is subjected to Fourier decomposition, and stator harmonic components are analyzed to obtain three-phase harmonic current of the motor; an adaptive filter is designed based on an NLMS algorithm, and an online dead-zone compensation strategy is improved for a dead-zone effect. According to the method, by introducing the Luenberger disturbance observer, real-time measurement and adjustment of a nonlinear system can be realized, so that the performance index of the system is effectively 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 discloses a PUF (Physical Unclonable Function) generation device and a PUF generation method based on a magnetoresistor or a magnetosensitive current sensor. The signal acquisition and processing module acquires a voltage output signal of each magneto-sensitive current sensor and calculates a voltage effective value and a zero offset value; the signal acquisition and processing module uses the calculated effective value output by each magneto-sensitive current sensor to obtain the current value of the conductor to be measured; and the PUF processing module correspondingly generates a digital code of 1 or 0 according to the zero offset value of each magneto-dependent current sensor, and takes the obtained n 1 or 0 digital code sequences as a generated physical unclonable function PUF for digital identity authentication. According to the method, the PUF sequence is generated by adopting the own characteristics of the TMR, the characteristics of good confidentiality, simple scheme, high practicability and the like are achieved by utilizing the randomness of the process, an additional PUF chip does not need to be added, and the additional cost is not increased. With the increase of the TMR number, the higher the measurement accuracy is, the higher the safety is.

The invention discloses a design method of a coreless stator axial magnetic flux permanent magnet motor. The method specifically comprises the following steps: firstly, determining a basic structure, a permanent magnet structure and performance demand parameters of the coreless stator axial magnetic flux permanent magnet motor; determining stator and rotor structure parameters of the motor according to the performance requirement parameters of the motor; establishing a simplified model of an internal magnetic circuit of the motor, determining excitation magnetic potential of the motor, and establishing a finite element dynamic simulation model of the coreless stator axial flux permanent magnet motor based on a Maxwell equation; and finally, comparing the finite element dynamic simulation result with the motor performance demand parameter, if the finite element dynamic simulation result does not meet the requirement, correcting the motor design structure parameter and the electromagnetic parameter, and re-determining the stator and rotor structure parameter of the motor until the finite element dynamic simulation result of the motor meets the motor performance demand parameter. The design cost of the coreless stator axial magnetic flux permanent magnet motor is reduced, the design period is shortened, and the design efficiency and the design precision are improved.

The invention relates to the technical field of permanent magnet motor speed regulation, in particular to a speed regulation control system of a permanent magnet motor, which realizes high-dimensional accurate description of the running state of the motor by identifying the magnetic performance change of a permanent magnet under different thermal state conditions and combining the structural change characteristics of a motor winding. Response consistency and error convergence performance of control gain adjustment are remarkably improved, a proportional integral factor value group is obtained by adjusting an interval gain sequence, ordered switching path planning between operation states is achieved, abnormal states are found in advance, an excitation fluctuation source is accurately positioned, and by constructing a voltage excitation adjustment set, the control gain adjustment accuracy is improved. The method effectively improves the flexible adjustment capability and the abnormity response rate of a control strategy, achieves the multi-time-domain, multi-segment, quick response and stable speed regulation of the permanent magnet motor under a complex working condition, remarkably improves the dynamic adaptive capability and the output control precision, and reduces the energy consumption and response lag.

The invention relates to the technical field of permanent magnet motors, in particular to a winding connection selection method and device for reducing the short-circuit demagnetization risk of a permanent magnet motor, and the method comprises the steps: when the permanent magnet motor is in a three-phase short-circuit state, taking the relation between the torque loss ratio of star connection and delta connection at different permanent magnet temperatures and different starting rotor positions as the basis; finding a target permanent magnet temperature threshold value; if the permanent magnet temperature is higher than a target permanent magnet temperature threshold value, triangular connection is selected, and otherwise, star connection is selected; when the permanent magnet motor is in a two-phase short-circuit state, a first intersection rotor position and a second intersection rotor position at the current permanent magnet temperature are found on the basis of the relation between the torque loss ratio of star connection and triangular connection at the current permanent magnet temperature and different starting rotor positions, and then the two-phase short-circuit state of the permanent magnet motor is determined according to the intersection rotor positions. And a proper winding connection mode is selected. The operation reliability of the permanent magnet motor can be improved, and it is ensured that the short-circuit demagnetization risk of the permanent magnet motor is effectively reduced.

The invention discloses a traction converter multi-fault intelligent diagnosis method based on edge AI, and the method comprises the following steps: building a permanent magnet motor mathematical model and a three-level active neutral point clamped converter mathematical model, and carrying out the simulation and experiment of a permanent magnet motor control system fed by a three-level ANPC converter, acquiring a three-phase current signal, a midpoint voltage signal and a rotating speed signal to form an original data set; performing multi-source and multi-dimensional information fusion and normalization on simulation and experimental data, and dividing a training set, a cross validation set and a test set; constructing a two-dimensional convolutional neural network model, and performing offline training; and carrying out lightweight design and edge deployment on the trained neural network model to realize real-time diagnosis of multiple fault modes of the converter under different working conditions. According to the method, the edge calculation efficiency is improved through the lightweight design of the network model, intelligent diagnosis of multiple faults can be realized, and the method has relatively high diagnosis precision and diagnosis speed.

The invention discloses a crane steel wire rope flaw detection device and a flaw detection method, and belongs to the technical field of nondestructive flaw detection. The device comprises a magnetic memory flaw detection module and a wheel type rope climbing robot device for driving the magnetic memory flaw detection module to move along a crane steel wire rope, the magnetic memory flaw detection module comprises a hollow flaw detection shell, the flaw detection shell is longitudinally provided with a central through hole for a crane steel wire rope to penetrate through, and a plurality of giant magneto-impedance effect magnetic sensors are evenly arranged in the flaw detection shell in the circumferential direction of the central through hole. Therefore, a sensor array used for detecting the leakage magnetic field intensity of the crane steel wire rope is formed, and the giant magneto-impedance effect magnetic sensors are arranged in a coplanar mode. The device is mainly based on the giant magneto-impedance effect magnetic sensor and the metal magnetic memory principle, extremely weak magnetic nondestructive testing is conducted on the crane steel wire rope, and the device is convenient to use, high in detection precision, simple in structure and suitable for various steel wire rope detection environments.

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 double-squirrel-cage permanent magnet motor with a fractional slot concentrated winding and a pole-changing switching method, the motor comprises a stator and a rotor, the stator comprises a stator winding design and a winding pole-changing switching method, and two groups of conducting bars are arranged on the outer circumferential side of the rotor. The two groups of conducting bars are respectively connected with the two end rings to form two independent double-squirrel-cage structures, and each conducting bar corresponds to a permanent magnet steel magnetic pole distributed in the circumferential direction of the rotor. Two groups of conducting bars are arranged on the outer side of the rotor, and the two groups of conducting bars are respectively connected with the two end rings to form two independent double-squirrel-cage structures. The independent double-squirrel-cage structure not only can filter specific-order magnetomotive force harmonics generated by a stator winding, but also greatly reduces the magnetic leakage phenomenon due to the position relation between the conducting bars and the magnetic poles of the permanent magnets, so that the blocking effect of the conducting bars on a permanent magnetic circuit is reduced to the minimum, the utilization rate of the permanent magnets is improved, and the cost is reduced.

Methods and devices for detecting a defect in a rail of a railway track, include at least two sensors selected from among magneto-acoustic and / or piezoelectric and / or magnetostrictive transducers; each sensor being associated with a timestamping circuit of a GNSS satellite positioning system; a measuring circuit for measuring, by way of the sensors, the acousto-elastic waves propagating in the rail, the wave or signal measurements being timestamped. Some developments describe notably active and passive modes; the use of train crossings; the emission of waves; the determination of the existence and then of the position and finally the characterization of the defect, where applicable; preferred placements for installing the sensors; the use of inter-correlation, passive inverse filter or correlation of coda of correlation methods; the use of mobile robots and / or drones; the use of artificial noise sources.

The invention provides a magneto-rheological brake integrating a shearing working mode and a shearing valve working mode. The magneto-rheological brake comprises a mounting sleeve set, a braking structure and a driven structure. The driven structure comprises a first driven ring, a second driven ring and a reel, the first driven ring and the second driven ring are both connected with the reel, and a magnet exciting coil is wound on the reel; the brake structure comprises a rotating shaft and a brake disc, the brake disc is arranged on the rotating shaft in a sleeving mode, and the brake disc is connected with the reel through a cylindrical cam structure; axial damping gaps are reserved between the two opposite side walls of the first driven ring and the two opposite side walls of the second driven ring and the two opposite side walls of the installation sleeve set respectively. Radial damping gaps are reserved between the two opposite side walls of the brake disc and the two opposite side walls of the installation sleeve set respectively. According to the invention, on the premise of not changing the structural size, a higher torque volume ratio can be provided, and the application is beneficial for meeting the occasion that the installation space is small and the larger output torque can be provided.

The invention discloses a five-phase permanent magnet motor multi-objective optimization method and a control system thereof, and belongs to the technical field of motor body design optimization and motor control. According to the multi-objective optimization method for the five-phase permanent magnet motor, the optimal optimization value of the motor parameters is obtained based on the genetic aggregation response surface and the multi-objective genetic algorithm, the design variables of the motor are comprehensively considered, and the optimization accuracy is improved; according to the control system of the five-phase permanent magnet fault-tolerant motor, iterative learning control serves as a current control technology and is used for recovering the performance of the five-phase permanent magnet motor under the fault condition, the advantages of iterative learning control and counter electromotive force control are combined, high-performance operation of the motor can be ensured under the fault condition, and the reliability of the five-phase permanent magnet fault-tolerant motor is improved. Ripple-free torque output is realized, and ohmic loss is minimized. The fault diagnosis module of the control system diagnoses short-circuit faults and open-circuit faults by using a time sequence neural network and a Kalman filter, and has real-time performance and strong adaptive ability.

The invention discloses a permanent magnet motor parameter operation regulation and control test system and method based on cloud service, and relates to the technical field of motor control. The system comprises a data acquisition module, a data analysis module, a control node identification module, an optimization strategy generation module and a real-time monitoring and feedback module. The data acquisition module acquires historical and real-time operation data of the permanent magnet synchronous motor by using a sensor; the data analysis module performs comprehensive effectiveness scoring on the collected data and screens out data meeting conditions; the control node identification module sets control nodes based on the regulation and control scheme, extracts related parameters and timestamps from the integrated data set, and analyzes and judges a deviation coefficient to identify key control nodes; the optimization strategy generation module analyzes the association between the regulation and control scheme and the motor operation state by using a linear regression model, and establishes an optimization control strategy; and the real-time monitoring and feedback module monitors real-time operation data, judges a fault, outputs an alarm in time, and adjusts a regulation and control scheme based on a monitoring result.