194 results about "Motor system" patented technology

The invention relates to a multi-parameter fusion motor performance evaluation method, equipment and a medium. The method comprises the following steps: firstly, acquiring electrical signals, mechanical vibration signals and thermal temperature data in operation of a motor, and performing preprocessing and standardization to form a first data set; secondly, dimension reduction is carried out on multi-dimensional parameters of the first data set, and core parameter combinations are extracted to generate a second feature data set; then, classifying and marking the second feature data set by utilizing a classification algorithm, and determining a key performance index distribution interval to obtain a third classification result set; and finally, constructing a time sequence anomaly detection model based on the third classification result set, analyzing an index change trend, identifying an abnormal point deviating from a preset threshold value, and generating a fourth anomaly detection result. According to the method, the data quality and consistency can be improved, the abnormal state in motor operation can be effectively identified, data support is provided for motor performance evaluation and fault early warning, and the method is suitable for real-time monitoring and operation optimization of a motor system.

The invention discloses a high-precision linear vibration feedback motor system, and relates to the technical field of precise electromagnetic driving, and the system comprises a core driving module which is a moving magnet type linear motor of a Halbach array magnetic circuit structure, and is integrated with a multi-physics field sensing unit; the dynamic parameter tracking module is used for acquiring a reed rigidity coefficient, a damping coefficient and a magnetic constant in real time when the motor runs, and establishing a dynamic displacement model based on a recursive least square method; a double-closed-loop control framework is adopted, an inner loop adopts field-oriented control, and an outer loop is based on model prediction control; the aging prediction unit activates a temperature rise compensation algorithm when the accumulated number of vibration times is greater than a set threshold value; the self-adaptive calibration engine is used for injecting a sweep frequency excitation signal when the system is started, and automatically compensating individual difference parameters according to the harmonic peak offset; and the digital twin mapping unit is used for establishing a real-time mapping relationship between the physical parameters of the motor and the virtual model, and dynamically correcting the model parameters by comparing the actual displacement with the model displacement.

The invention relates to the technical field of motor control, and particularly provides a permanent magnet synchronous motor current harmonic disturbance suppression method and a motor system.The permanent magnet synchronous motor current harmonic disturbance suppression method comprises the steps that firstly, a permanent magnet synchronous motor mathematical model considering harmonic disturbance under the d-q axis of a synchronous rotating coordinate system is constructed, and a theoretical basis is provided for subsequent control strategy design; an improved resonance controller is set and embedded into the extended state observer, comprehensive estimation of d-q axis non-periodic disturbance and periodic harmonic disturbance is achieved, finally, an enhanced current loop active disturbance rejection controller based on the improved resonance-extended state observer is built, unexpected peak values are eliminated, and the disturbance rejection rate of the current loop is improved. And comprehensive suppression of aperiodic disturbance and periodic disturbance is realized. According to the method, aperiodic and periodic disturbance can be suppressed, unexpected peak values are eliminated, system instability caused by noise amplification is avoided, and the steady-state performance and robustness of current control of the permanent magnet synchronous motor are remarkably improved.

The invention discloses a variable-working-condition motor fault diagnosis method based on a vibration signal, and the method comprises the steps: collecting the vibration acceleration data of a housing of a motor in various states, carrying out the data preprocessing and feature extraction, constructing a motor fault diagnosis model through employing the extracted features, carrying out the training and parameter optimization of the model, and carrying out the fault diagnosis of the motor. Therefore, the fault diagnosis model capable of quickly and accurately diagnosing the motor fault is obtained and is further used for real-time monitoring and fault diagnosis of the motor, so that the monitoring cost and the time cost are reduced, the accuracy of motor fault diagnosis is improved, and the safety and the stability of a motor system are improved.

The invention relates to the technical field of motor control, in particular to a dead-beat predictive current control method for a permanent magnet synchronous motor and a motor system.The method comprises the steps that a permanent magnet synchronous motor discretization mathematical model considering control system delay under the d-q axis of a synchronous rotating coordinate system is constructed, parameter mismatch is considered, modeling is conducted on introduced disturbance, and a dead-beat predictive current is obtained; an improved generalized extended state observer is constructed, an observation value of d-q axis disturbance is further obtained, real-time accurate identification of inductance parameter changes is achieved through an inductance parameter identification method based on a model reference adaptive system, and inductance parameters in a controller and the observer are dynamically corrected based on lumped disturbance and an inductance parameter identification result. Therefore, the robust dead-beat predictive current control method of the motor is formed. According to the invention, current harmonics are effectively reduced, and the robustness and control performance of the system are greatly improved.

The invention relates to the field of fault diagnosis, discloses a brushless motor controller fault diagnosis method and system, and is used for providing powerful guarantee for reliable operation of a brushless motor controller. The method includes the steps that three-phase current and bus voltage signals are collected in real time through current and voltage sensors, and a characteristic frequency interval is extracted; the method comprises the following steps: extracting topological invariants by adopting a fractional order derivative and a continuous coherence algorithm, describing mechanical damage characteristics, taking the topological invariants and the mechanical damage characteristics as inputs, simulating motor system dynamic behaviors by virtue of a quantum state evolution model, calculating phase space trajectory divergence, triggering a graded fault decision according to the divergence, and accurately distinguishing parametric, mechanical, winding and pre-out-of-step faults. And outputting the highest-level fault instruction according to the priority and executing protection during multi-fault concurrence. The method comprehensively and accurately extracts fault features, has a dynamic adaptive capability, can predict a fault trend and effectively process a multi-fault concurrency condition, provides a solid guarantee for reliable operation of a brushless motor controller, and is suitable for multiple fields.

The invention relates to the technical field of multi-motor cooperative control, and discloses a multi-motor cooperative control system and method based on digital twinning. The multi-motor cooperative control method based on digital twinning comprises the following steps: acquiring real-time operation data of each motor in a multi-motor system, and generating a physical parameter data set containing time sequence information; based on the physical parameter data set, calculating digital twinborn model parameters of each motor, and generating a motor digital twinborn body; analyzing a topological connection relationship between the motors, and generating a cooperative control constraint condition; and inputting the real-time state data of the motor digital twin and the cooperative control constraint condition into a cooperative optimization algorithm, and outputting a multi-motor cooperative control instruction. According to the method, the problem that accurate digital mapping between a physical motor and a control system is lacked in a traditional method is solved, and the technical problem that a cooperative control strategy cannot be optimized in real time is solved.

Various implementations of the systems and methods disclosed herein allow a user to build at least a portion of the musculature used for the front crawl stroke and / or offer a platform for practicing and learning proper form for certain exercises, such as, for example, swimming the front crawl stroke. In addition, the devices, systems, and methods disclosed herein may be useful for strengthening overall body tone and aerobic strength. Various implementations include an exercise system that includes an arm movement system and / or a torso movement system. The arm movement system may be provided and / or used independently of the torso movement system. Various implementations of the devices, systems and methods disclosed herein simulate the resistive forces of water encountered by a human body while swimming and allow the user to learn and maintain proper form while strengthening muscles used to counter-act those resistive forces, without the complications of a water environment.

A surgical instrument system including a motor system and a control circuit is disclosed. The motor system includes a motor and a driveline coupleable to the motor and configured to actuate a firing member through a staple firing stroke. The control circuit is coupled to the motor, where during the staple firing stroke the control circuit is configured to monitor a current draw of the motor, and initiate and provide a sequence of oscillating impact signals to the motor based on the monitored current draw of the motor. The oscillating impulse signal includes a pulse amplitude selected based on the monitored current draw and a pulse width based on the monitored current draw.

The invention relates to the technical field of motor fault diagnosis, and discloses a motor overload fault detection method and system based on locked-rotor current characteristics. The method comprises the following steps: collecting a one-phase working current signal of a target driving motor; extracting three types of locked-rotor precursor features; calculating a locked-rotor risk score by using a nonlinear integral enhancement mechanism; judging whether to enter a motor overload state or not by adopting a multi-factor dynamic threshold joint judgment mechanism; compared with the prior art that locked-rotor judgment depends on single current amplitude abrupt change or an overcurrent threshold, and especially in a climbing scene that instantaneous locked-rotor current of a motor rises suddenly due to rapid load increase, stable perception and fault-tolerant response to overload faults cannot be achieved, the technical problem that in the prior art, locked-rotor judgment depends on single current amplitude abrupt change or overcurrent threshold judgment, and in the climbing scene that the instantaneous locked-rotor current of the motor rises suddenly is solved. Due to the fact that multi-dimensional precursor feature extraction and a nonlinear integral enhancement mechanism are combined, the problem of overload misjudgment or missed judgment is avoided, and the fault detection accuracy of the motor system under the complex working condition is improved.

The invention discloses a motor fault detection method and system based on time-frequency dual channels. Fault judgment is carried out based on power grid side currents in different states and corresponding fast Fourier transform analysis; after a fault is judged, power grid side current signals under two power frequencies are collected, a fault signal is converted into a time domain image through a Grubby angle field, and the fault signal is converted into a frequency domain image through short-time Fourier transform; a residual convolutional neural network is constructed in a two-channel mode, features are extracted from time domain and frequency domain images respectively, and finally the extracted features are fused for open-circuit fault classification of different types of inverters in a motor system. According to the invention, the existing product does not need to be disassembled, so that a user can deploy conveniently; normal and fault states can be quickly distinguished, and the consumed resources are small; the fault type can be quickly identified, and a user can conveniently process the fault in time.

The invention discloses a method and a device for rapidly detecting an optimal efficiency point of a variable frequency motor system, and belongs to the technical field of motor system detection. Selecting an initial test point, and obtaining a rough search range based on the initial test point; efficiency testing is carried out on each test point in the rough search range, the optimal efficiency of the current range is obtained, and whether the global optimal efficiency is updated or not is judged; if the global optimal efficiency is updated, obtaining a high-efficiency area based on the updated global optimal efficiency; carrying out fine mesh division on the high-efficiency region, and then testing each fine mesh test point; and if the variable quantity of the efficiency value meets the preset requirement, outputting the global optimal efficiency and the corresponding torque value and rotating speed value. According to the method, the torque and rotating speed range, the step length and the test point duration can be adaptively adjusted, and the search range and the convergence condition are allowed to be customized; the testing probability of a non-efficient working condition area is reduced, meanwhile, the testing precision of an efficient working condition area is remarkably improved, and the detection efficiency and precision are effectively optimized.

The invention relates to the technical field of motor system energy saving, and discloses a motor energy-saving optimization and intelligent regulation and control platform, which comprises a motor data analysis module, a motor system simulation module, a characteristic parameter extraction module and a control strategy generation module, and is characterized in that performance analysis is performed on acquired operation data to obtain performance data; constructing a dynamic simulation model by using the obtained motor system parameters; calculating dynamic characteristics of the motor system according to the performance data and the dynamic simulation model, and performing characteristic parameter extraction on the operation data based on the dynamic characteristics to obtain mode characteristic parameters; and performing control parameter optimization iteration on the dynamic simulation model based on the mode characteristic parameters, performing strategy evaluation on an iteration result, and screening out an optimal control parameter from the candidate parameter set according to a strategy evaluation result. According to the invention, the problem that the existing motor control system is still insufficient in control accuracy in motor energy-saving optimization can be solved.

The invention discloses a motor micro-channel heat dissipation online optimization method based on deep reinforcement learning. The method comprises the following steps: firstly, modeling a control problem of a motor micro-channel heat dissipation system as a Markov decision process; secondly, a double-delay depth deterministic strategy gradient algorithm is adopted, a deep neural network based on an actor-commentator framework is constructed to serve as a strategy network, and mapping from a state vector to an optimal control action is achieved; then, in a digital twinborn simulation environment, performing security pre-training on the strategy network to obtain an initial agent model; and finally, deploying the model to an embedded controller of an actual motor system, carrying out online fine adjustment with security constraints through online acquisition of interaction data, and adding a security fault-tolerant mechanism to ensure stable operation of the system. According to the method, self-learning can be carried out, a global optimal balance point of heat dissipation efficiency and energy consumption can be found, on-demand heat dissipation and prospective control are realized, local hot spots are effectively inhibited, and the temperature control precision and the energy-saving effect under complex working conditions are remarkably improved.

An exercise system includes a platform and a frame. The platform includes a first vertically oriented motor and a second vertically oriented motor. The first vertically oriented motor is associated with a first cable and the second vertically oriented motor is associated with a second cable. The frame includes a first adjustable attachment point and a second adjustable attachment point. The first cable is coupled to the first adjustable attachment point and the second cable is coupled to the second adjustable attachment point. The platform is located at a bottom portion of the frame.

To provide an abnormality detection device suppressing erroneous detection in an abnormality determination of a motor.SOLUTION: An abnormality detection device detecting an abnormality of a motor has an acquisition part acquiring a characteristic value with respect to the motor per sampling period, and a processing part processing the characteristic value acquired by the acquisition part. The processing part executes steps of (a) acquiring the characteristic value with respect to the motor as inspection data, (b) updating an average value of the inspection data, (c) updating a standard deviation of the inspection data, (d) updating an abnormality degree by dividing squares of a difference between the inspection data and the average value by squares of the standard deviation, and (e) calculating a cumulative sum of the abnormality degree based on a threshold value.SELECTED DRAWING: Figure 1

The invention discloses a model-free predictive control method and device for a permanent magnet synchronous motor, and the method comprises the steps: constructing a hyper-local model, carrying out the disturbance observation of the hyper-local model through an ESO observer, and generating a model-free current prediction controller; obtaining current and voltage vectors of a plurality of historical control periods, constructing a first cost function, and calculating a first descent gradient of the first cost function about an input gain value of the hyper-local model and a second descent gradient about a bandwidth value of the ESO observer; performing parameter updating based on the first descent gradient and the second descent gradient, and calculating a current prediction value at the (k + 1) th moment through the model-free current prediction controller after parameter updating; and constructing a second cost function, and based on the current predicted value at the (k + 1) th moment, selecting a switching state which enables the second cost function to be minimum to control the motor system. The method can get rid of dependence on motor parameters, and the prediction precision and control robustness of the control system are improved.

The invention discloses a permanent magnet synchronous motor adaptive speed control method based on a time-varying internal model. The method comprises the following steps: S1, establishing a permanent magnet synchronous motor mathematical model; s2, describing a speed tracking and interference suppression problem of the permanent magnet synchronous motor under the condition that the external interference frequency is unknown and time-varying as a self-adaptive servo control problem; s3, designing a time-varying internal model, and converting an adaptive servo control problem of the motor system into a robust stabilization problem of an augmented system composed of the motor system and the time-varying internal model; and S4, a speed-current loop cascade structure is adopted, a self-adaptive controller based on a time-varying internal model is designed, a PI controller is designed for a current loop, and a final controller is given. According to the method, all motor parameters are allowed to be unknown, through the adaptive controller based on the time-varying internal model, the problem of high-precision speed tracking control of the permanent magnet synchronous motor under the conditions that the external interference frequency is unknown and the time is varying is solved, and good speed tracking performance is achieved.

Systems, devices, and methods are described for providing, among other things, a multi-axis, multi-exercise device including an extendable and articulated cervical positioning assembly; a head affixing assembly configured to secure to a head of a user; and a multi-exercise system. In an aspect, the extendable and articulated cervical positioning assembly includes at least one articulation element and at least one telescopic element configured to allow maneuverability and repositioning of the head affixing assembly with respect to the multi-exercise system. In an aspect, the multi-axis, multi-exercise device includes at least one of a mechanical resistance component, electromagnetic resistance component, magnetic resistance component, electromechanical resistance component, hydraulic resistance component, or a pneumatic resistance component.

The invention relates to a multi-permanent magnet synchronous motor cooperative control method based on a consistency theory, and belongs to the technical field of motor control. According to the method, the consistency theory is applied to the permanent magnet synchronous motor, the sliding mode theory and the LQR controller are combined, and the rotating speed control law of the motor is improved and designed. Compared with a traditional multi-motor cooperation method, the robustness and the synchronization performance of the multi-motor system can be improved. According to the method, the sliding mode controller is used for designing the speed ring of the motor, compared with a traditional method, the robustness is high, the response is rapid, and the designed reaching law can enable the sliding mode to rapidly approach the sliding mode surface. According to the method, on the basis of using a sliding mode controller, a consistency theory is introduced, an optimal performance cost function is constructed again, a consistency protocol, namely a cooperative control law, based on an LQR regulator is designed by minimizing the cost function, and a feedback gain matrix in the control law is designed on the optimal control level; and the collaboration precision of the system is further improved.

A BLDC motor system having a power stage, a hall sensor and a logical control circuit is discussed. The BLDC motor system improves performances by judging an initial rotation direction through the back electromotive force generated by the stator together with the induced signal sensed by the hall sensor.

The present invention proposes a position sensorless predictive control method and system for a permanent magnet synchronous motor, relating to the field of motor control technology. The method comprises calculating the d- and q-axis voltages and d- and q-axis currents of the motor; using the q-axis stator current observation value, the motor speed observation value, and the load torque observation value as state variables, and the q-axis stator current error as feedback, to determine the observed value of the motor speed; calculating the motor stator current based on the observed value of the motor speed; using the total unknown part of the motor system and the motor stator current as state variables, and the current observation error as feedback, to determine the αβ-axis stator current values ​​of the motor; and obtaining the desired stator voltage value based on the αβ-axis stator current values ​​of the motor, thereby controlling the motor using the desired stator voltage value. The present invention can effectively improve the observation accuracy and the anti-disturbance capability of the control system, and combines position sensorless control with predictive control to effectively improve the dynamic characteristics of the control system.

The present disclosure provides a movement system. The movement system includes a foot-plate exercise machine and a chair. The foot-plate exercise machine implements repetitive lower limb movement accompanied by extension and flexion of at least a knee joint and a hip joint. The chair is a component for a user to sit on while the user uses the foot-plate exercise machine to perform the lower limb movement. The chair has a seating portion for the user to sit on, and a support mechanism that supports the seating portion in a manner that allows the seating portion to rock laterally. By the seating portion rocking laterally during the lower limb movement, a movement chain of the lower limb and the torso is generated.

The invention relates to a dual three-phase permanent magnet synchronous motor model-free prediction repetitive control method and system based on a double-subspace virtual vector, and the method comprises the steps: decomposing the vector of a motor into a fundamental wave subspace and a harmonic wave subspace which are orthogonal to each other based on an obtained operation parameter, and constructing an independent super-local model in the two subspaces; constructing a linear expansion state observer in the fundamental wave subspace, and constructing a repetitive expansion state observer based on repetitive control in the harmonic wave subspace; respectively synthesizing an independent virtual voltage vector set and a decoupling virtual voltage vector set in the two subspaces; and calculating reference voltage vectors of the two subspaces, selecting an optimal virtual voltage vector and an optimal decoupling virtual voltage vector, respectively calculating optimal duty ratios, synthesizing control signals applied to each bridge arm of the inverter, and driving the dual three-phase permanent magnet synchronous motor. According to the method, model-free control of double sub-spaces is realized, model parameters of a motor system of an algorithm are controlled, and better robustness is shown when the parameters are mismatched.

The invention discloses an active pneumatic buffering ankle joint artificial limb system and a control method thereof. The system comprises a sensing module, a control module and a pneumatic execution module. The pneumatic execution module adopts a closed loop composed of a miniature diaphragm air pump, an air storage tank and a damping air bag, and pre-storage and quick release of high-pressure air are achieved through the air storage tank. The control method is based on multi-sensor data fusion, high-strength impact can be pre-judged before the heel touches the ground, and the rigidity of the damping air bag can be adjusted in advance. The problems that a traditional artificial limb buffering system is lagged in response and fixed in parameter and an active motor system is high in energy consumption are solved, low-power-consumption, fast-response and self-adaptive intelligent buffering is achieved, and the walking comfort and safety of an amputee are remarkably improved.

The invention discloses a motor three-phase current imbalance compensation method and device and a motor system, which can dynamically compensate the three-phase current imbalance of a motor through a control algorithm, can avoid the repair of the motor, solves the problem of three-phase imbalance operation, does not need to perform off-line measurement on the motor system in the compensation process, and improves the compensation efficiency. And the three-phase current unbalance compensation efficiency is high.

The invention discloses a three-axis linear arc interpolation motion control system and method, and relates to the field of three-axis motor motion control, and the method comprises the steps: building a space rectangular coordinate system according to the space information of an operation point location and a distance proportion; based on the two-point equation, determining a motion track of linear interpolation of the three-axis motor; according to a method of determining a circle by three coordinate points, calculating the circle radius and point location information of the motor arc interpolation motion; setting a unified unit for motion control of the three-axis motor according to the requirements of a product process; parameter information of the three-axis motor is set and used for displaying and controlling the linear arc interpolation motion trail of the three-axis motor. The method has the advantages that the points of the three-axis motion trail are connected in series to form a complete curve in a linear arc interpolation mode, so that the complete curve can work coordinately according to a certain time sequence, dispensing and winding of irregular products are achieved, a three-axis motor system operates stably at the maximum speed, and higher response speed and precision are achieved.

The application discloses a kind of fault detection methods, device and medium of current sensor, it is related to motor system field.The application discloses a kind of fault detection methods, device and medium of current sensor, it is related to motor system field.The application discloses a kind of fault detection methods, device and medium of current sensor, it is related to motor system field.The application discloses a kind of fault detection methods, device and medium of current sensor, it is related to motor system field.The application discloses a kind of fault detection methods, device and medium of current sensor, it is related to motor system field.The application discloses a kind of fault detection methods, device and medium of current sensor, it is related to motor system field.The application discloses a kind of fault detection methods, device and medium of current sensor, it is related to motor system field.The application discloses a kind of fault detection methods, device and medium of current sensor, it is related to motor system field.The application discloses a kind of fault detection methods, device and medium of current sensor, it is related to motor system field.The application discloses a kind of fault detection methods, device and medium of current sensor, it is related to motor system field.The application discloses a kind of fault detection methods, device and medium of current sensor, it is related to motor system field.The application discloses a kind of fault detection methods, device and medium of current sensor, it is related to motor system field.The application discloses a kind of fault detection methods, device and medium of current sensor, it is related to motor system field.The application discloses a kind of fault detection methods, device and medium of current sensor, it is related to motor system field.The application discloses a kind of fault detection methods, device and medium of current sensor, it is related to motor system field.The application discloses a kind of fault detection methods, device and medium of current sensor, it is related to motor system field.The application discloses a kind of fault detection methods, device and medium

This motor control device, on the basis of the rotational speed of the motor, switches current detection methods between a first method and a second method that differ in how the duty ratio is adjusted. With the first method, for the PWM signal of each phase, the signal level varies over the entire period of a single cycle at arbitrary points in time that differ from each other, and the current of a current detector is detected over the entire period. With the second method, a single cycle of the PWM signal of each phase includes a first period and a second period, and for the PWM signal of each phase, the signal level varies at points in time that are according to an established duty ratio in the first period, while in the second period, the signal level varies at fixed points in time that differ from each other and the order in which the PWM signal of each phase is replaced is fixed regardless of the set value of the duty ratio, and the current of the current detector is detected during the second period.