1280results about "Single motor speed/torque control" patented technology

The invention is suitable for the technical field of brushless motor control, and provides an intelligent brushless motor and a control method thereof, and the method is applied to a control system of the intelligent brushless motor. The system comprises a data acquisition module, a model construction module, a training tuning module, a model verification module, a parameter setting module, an operation application module, a wireless communication module, a memory, an alarm, a processing center and an intelligent mobile terminal. The data acquisition module, the model construction module, the training optimization module, the model verification module, the parameter setting module, the operation application module, the wireless communication module, the memory and the alarm are respectively connected with the processing center; the invention also provides an intelligent brushless motor. According to the method, the AI model is constructed and trained by collecting the daily motor operation quality data, and the operation control parameters are matched according to the model, so that various operation quality abnormalities are prevented, and accurate control of the motor is ensured.

Disclosed is a motor fuzzy PID parameter tuning method based on an improved whale algorithm. The method comprises: building a brushless direct-current motor speed control system model, and using a fuzzy PID controller to perform motor speed control. A conventional whale algorithm is optimized by using a chaotic convergence factor, a fractional order, and Levy flights, so as to obtain an improved whale algorithm. Secondly, the overshoot of the system is used as a component of an ITAE performance index to obtain an improved ITAE performance index, and the improved ITAE performance index is used as a fitness function for the improved whale algorithm. Finally, the improved whale algorithm is used to optimize input and output membership functions of a fuzzy controller, so as to obtain optimal ΔKp, ΔKi, and ΔKd values, and Kp, Ki, and Kd parameters of a PID controller are tuned to implement motor speed control. The present invention addresses the difficulty of tuning parameters of conventional PID controllers and solves the problem of low precision of motor speed control, has the advantages of high anti-interference capability, little overshoot, and short adjustment time, and improves the dynamic characteristics and robustness of the controllers.

The invention relates to the technical field of vibration and noise control, discloses a new energy automobile motor high-frequency vibration and noise active suppression system and method, and aims to solve the problems of poor high-frequency vibration and noise suppression effect, real-time performance, adaptive capacity and system cost complexity of an existing new energy automobile motor. The method comprises the following steps: acquiring and preprocessing motor operation state data, extracting high-frequency harmonic characteristics, and generating predicted harmonic characteristics in combination with working condition prediction; and superposing the self-adaptive compensation quantity to a motor voltage instruction, and driving an inverter through pulse width modulation to realize active suppression of high-frequency vibration and noise. The system comprises a data acquisition preprocessing module, a harmonic feature extraction module, a working condition sensing prediction module, a self-adaptive compensation quantity generation module and a pulse width modulation correction module. By the adoption of the technical scheme, efficient, real-time and self-adaptive suppression of high-frequency vibration and noise of the motor can be achieved, the level of the high-frequency vibration and noise is remarkably reduced, the driving comfort is improved, and the complexity and cost of the system are optimized.

The invention provides an intelligent whipping control and monitoring system for an eggbeater, and the system comprises a rotating speed sensor, a torque sensor and a temperature sensor which are respectively used for detecting the rotating speed of the eggbeater, the torque change in the stirring process and the temperature of a stirred material in real time, and transmitting a detection signal to a control host. The control host comprises a processor and a memory, and standard torque curve databases corresponding to different whipping types are stored in the memory. And the processor calculates an actual torque curve of the current whipping process according to the sensor signal, and compares the actual torque curve with a standard torque curve in real time. When it is detected that the actual torque curve deviates from the standard torque curve and exceeds a preset threshold value, the system automatically adjusts the output power of the eggbeater motor so as to optimize the beating effect. According to the egg beater, accurate control over the beating process can be achieved, the stability of food material beating is improved, manual operation errors are reduced, and the intelligent level of the egg beater is improved.

The invention provides a multi-mode control method and system for a brushless doubly-fed motor, and relates to the technical field of motor control, and the method comprises the steps: extracting torque-rotating speed slopes and dynamic response time constants of two points based on a steady-state working point of a current mode and an expected working point of a target switching mode, and constructing a linear correction function; fusing an output value of the linear correction function with an optimization result to generate a modal transition compensation coefficient, and injecting the compensation coefficient into a rotor side voltage control ring based on a feedforward control channel to generate an anti-disturbance dynamic compensation control strategy; and for a non-smooth adjustment item in the dynamic compensation control strategy, performing smoothing processing on a discontinuous boundary of a control quantity by adopting a subgradient projection algorithm, verifying continuous conductivity of a control curved surface in combination with a Lyapunov stability criterion, and generating a final control instruction. According to the invention, adaptive smooth switching control of the brushless doubly-fed motor can be realized.

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 provides a brushless motor multi-axis cooperative control method and system for an industrial robot, and relates to the technical field of control, and the method comprises the steps: processing the real-time parameters of a brushless motor of each joint axis through constructing an extended dynamic model, and obtaining a temperature drift coefficient and a load inertia parameter; a self-adaptive pre-compensation model, a neural network compensator and a recurrent neural network prediction model are combined, a torque control instruction is output, a three-phase current prediction value is calculated, a distributed model prediction controller is adopted to generate an optimal switching sequence, multi-axis cooperative control is achieved, and the system stability and the response speed can be effectively improved.

The invention discloses a degradation trend prediction method for a brushless direct current motor, and relates to the technical field of motor control, current, temperature and vibration signals of motor operation are collected, a characteristic signal transmission path model of a winding, a bearing and magnetic steel is constructed, and the degradation trend of the brushless direct current motor is predicted by analyzing the reflection characteristics and attenuation conditions of degradation signals of all parts. Extracting characteristic quantities of mutual influence among current, temperature and vibration; according to the method, a multi-component characteristic signal transmission path model is constructed, degradation signals are regarded as fluctuation quantity transmitted and reflected among different components, mutual influence of current, temperature and vibration signals is comprehensively analyzed, false characteristics are separated in combination with heat transfer lag characteristics and cooperative change critical points, accurate extraction of real degradation characteristics is realized, and the accuracy of the degradation characteristic extraction is improved. The problem that weak degradation signals are covered by interference is solved.

The invention belongs to the technical field of industrial control, and particularly relates to a brushless direct current motor high-efficiency control method and system based on an FOC algorithm, and the method comprises the steps: superposing high-frequency sine disturbance in a voltage instruction, extracting a response component, achieving the online identification of the equivalent impedance of a motor, and dynamically solving and updating the estimated values of resistance and inductance; and correcting d-axis and q-axis voltage feed-forward items in real time by using the updated parameters, and correspondingly adjusting a current loop proportion and an integral gain. The method can adapt to the time-varying characteristics of motor parameters in an industrial field, so that the accuracy of feed-forward compensation and the stability of current loop bandwidth are effectively guaranteed, and the robustness and the control precision of a control system under complicated industrial working conditions such as variable temperature and variable load are remarkably improved; and the requirements of high-end industrial equipment on high performance and high reliability of the motor driving system are met.

The invention provides a vibration control method and electronic equipment, and relates to the technical field of terminals. The motor vibration parameter can be obtained by integrating the use state and the electric quantity information of the electronic equipment, self-adaptive adjustment of the vibration parameter is achieved, and the use experience of a user is improved. The method is applied to the folding screen electronic equipment and comprises the following steps: acquiring a use state of the electronic equipment; acquiring electric quantity information of the electronic equipment; and acquiring vibration parameters according to the use state and the electric quantity information. And driving the motor to vibrate according to the vibration parameters.

A method for controlling a permanent magnet (PM) synchronous motor in an ESP application is provided. A load angle of the PM motor is estimated. A voltage adjustment value is determined for the PM motor based at least on the estimated load angle of the PM motor. A voltage to be applied to the PM motor is determined based on the voltage adjustment value.

The invention discloses an intelligent control method and system for a brushless direct current motor and a storage medium, and the method comprises the steps: constructing a mathematical model of a rotating speed and current double-closed-loop speed regulation system of the brushless direct current motor and a simulation model of a control system of the brushless direct current motor, and controlling a rotating speed PID (Proportion Integration Differentiation) controller by using an improved Sabot swarm optimization algorithm; when a set termination condition is met, outputting the global optimal position of the salmons individual corresponding to the population position of the current salmons population, and obtaining a target value of the to-be-optimized parameter according to a solution corresponding to the global optimal position of the salmons individual; controlling the brushless direct current motor based on the target value of the to-be-optimized parameter; according to the method, an improved saloat swarm optimization algorithm is fused with a Gaussian random walk strategy and a warning mechanism of a sparrow algorithm, and a chaotic mapping optimization initial population is introduced and is used for optimizing a fuzzy rule, so that the convergence speed and precision of searching the fuzzy rule are improved, and the problem that parameters of a PID controller are difficult to set is more effectively solved.

The invention provides a safety redundancy system of a combined magnetic field six-phase motor, which comprises a combined magnetic field six-phase motor, a real-time monitoring module, a fault diagnosis module, an adaptive strategy adjustment module and a hierarchical protection mechanism module, and is characterized in that the signal end of the combined magnetic field six-phase motor is connected with the signal end of the real-time monitoring module. According to the invention, the self-adaptive strategy adjustment module is arranged, protection parameters can be dynamically adjusted according to the motor state monitored in real time, and when the current of the phase of the motor abnormally rises, the self-adaptive strategy adjustment module automatically adjusts the current limit value of the phase to prevent further development of a fault; according to the self-adaptive protection strategy, the system can adopt different protection measures according to different fault types and severity degrees, safe operation of the motor is guaranteed, unnecessary downtime is avoided, a fault isolation module is arranged, when a fault is detected, a fault phase can be rapidly isolated, and the fault detection efficiency is improved. And the influence of faults on the whole system is avoided.

The invention discloses a self-adaptive brushless motor control method and system, and relates to the field of intelligent control, and the method comprises the steps: collecting the original data of the operation state of a motor through a sensor group, and carrying out the preprocessing; time-varying parameter identification is completed through combination of an extended Kalman filtering algorithm and a radial basis function neural network, an evaluation index system is constructed based on an analytic hierarchy process to obtain a comprehensive evaluation value, and a related trend is predicted through a long and short-term memory neural network; constructing a multi-modal control strategy library, determining an adaptive strategy, optimizing core parameters by using an improved particle swarm optimization algorithm, generating a control instruction, and outputting a corresponding current through a power driving module; and monitoring motor parameters in real time, comparing with a control target value, calculating deviation, correcting an identification result, adjusting a strategy threshold value, and updating and optimizing an objective function. The method has the advantages that by accurately sensing the state of the motor, dynamically adapting the control strategy and optimizing parameters in real time, it is ensured that the motor stably and efficiently operates under the complex working condition, and the characteristics of energy conservation and long service life are achieved.

The invention discloses a control method, device, equipment and product of a dual three-level inverter, and the method comprises the steps: obtaining a zero-sequence current and a neutral-point potential in the dual three-level inverter when the dual three-level inverter operates; traversing all selectable clamping combinations, and calculating the zero-sequence voltage of the dual three-level inverter and the neutral-point current of the dual three-level inverter which are correspondingly generated; and selecting the corresponding clamping combination when the positive and negative directions of the zero-sequence voltage and the zero-sequence current are opposite and the positive and negative directions of the midpoint current and the midpoint potential are opposite as the clamping combination selected by the first three-level inverter and the second three-level inverter. According to the dual three-level inverter, the appropriate clamping combination of the first three-level inverter and the second three-level inverter can be selected, zero-sequence current suppression and neutral-point potential balance in the dual three-level inverter are achieved, the output performance of the dual three-level inverter is improved, meanwhile, the switching action frequency of the dual three-level inverter can be reduced, and therefore switching loss is reduced.

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.

In some examples, this disclosure describes a method that comprises controlling power switches to deliver a current to an electric motor, wherein the power switches are arranged in a bridge (e.g., an H-bridge or an h-bridge) comprising a first high-side power switch, a first low-side power switch, and a second low-side power switch. Controlling the power switches to deliver the current to the electric motor may include controlling the first high-side power switch ON and controlling the second low-side power switch ON, wherein the current to the electric motor flows through the high-side power switch and through the second low-side power switch. The method may comprise determining the current to the electric motor based on a voltage drop over one of the power switches arranged in the bridge.

Various boost circuits that are used to improve or reduce the time needed to transition an electric machine from an off-state to an on-state at the start of a next pulse during pulsed controlled operation. With these various boost circuits, the naturally generated Back Electromotive Force or “BEMF” that is induced when an electrical machine transitions from the on state to the off state at the end of an on pulse is harvested, rectified, and stored on a storage device. The harvested energy is then made available to the electric machine as a “boost” voltage at the onset of the next on pulse, resulting in a reduced transition time from the off-state to the on-state.

A tool is provided including a motor, a power switch circuit disposed between a power source and the motor, and a control unit that controls the power switch circuit to drive the motor. The control unit is configured to apply a current clip threshold to a current passing through a bus line located between the power source and the power switch circuit to maintain a peak current of the bus line at approximately the current clip threshold. The control unit is further configured to variably control the current clip threshold based on the current passing through the bus line.

The invention discloses a brushless direct current motor and a control method thereof, and relates to the technical field of motor equipment.The brushless direct current motor comprises a motor shell and further comprises a driving circuit, and the driving circuit is located in the motor shell. A protective cover is arranged on the outer side of the rotor mounting cover, and a positioning clamping seat is arranged on one side of a heat dissipation fan blade to reinforce and mount the motor shell and the rotor mounting cover, so that the connection stability of equipment in use is improved; the auxiliary mounting mechanism is arranged, the motor shell and the mounting side plate are subjected to reinforced connection treatment through the first connecting shaft, and daily maintenance treatment can be conveniently carried out on the whole; according to the invention, the MCU unit is used for receiving the position feedback from the Hall sensor, and the MCU unit can control the current switching of the stator winding, so that a rotating magnetic field is generated to drive the rotor to rotate, and the error is the difference between a target value and an actual value.

The invention discloses a BLDC (brushless direct current) driving parameter self-tuning embedded system and method for multiple equipment types, and the method comprises the steps: constructing a BLDC unified mathematical model containing an electromagnetic torque equation, a back electromotive force equation and a mechanical motion equation, and building a nonlinear mapping relation library of motor type identification codes and a key electrical parameter set; a predefined multi-mode excitation signal sequence is injected into the to-be-driven BLDC motor, dynamic response data are synchronously collected, and the dynamic response data are used for representing the characteristics of the key electrical parameter set; based on collected dynamic response data, equivalent inductance and equivalent resistance in a key electrical parameter set are decoupled and extracted through a frequency domain impedance analysis method, and meanwhile, a counter electromotive force coefficient and rotational inertia in the key electrical parameter set are identified by combining time domain counter electromotive force zero crossing point detection with rotating speed differential operation. Based on a motor fingerprint feature library and a fuzzy adaptive architecture, multi-model debugging-free plug-and-play is realized, and stable control performance is maintained under a dynamic working condition.

Methods, controllers and electric machine systems are described that facilitate pulsed control of electric machines (e.g., electric motors and generators) to improve the machine's energy conversion efficiency. Under selected operating conditions, the electric machine is intermittently driven (pulsed). The pulsed operation causes the output of the electric machine to alternate between a first output level and an off state. The output levels are selected such that the electric machine has a higher energy conversion efficiency during the pulsed operation than the electric machine would have when operated at a third output level that would be required to drive the electric machine in a continuous manner to deliver the desired output. In some embodiments, the power converter it turned off during at least portions of the time that the electric machine is pulsed off.

The embodiment of the invention discloses a brushless direct current motor control system, and the system comprises a communication module which is used for receiving a control instruction; the detection module is used for collecting state information of the brushless direct current motor in real time; the control module is electrically connected with the communication module and the detection module and is used for executing a field-oriented control algorithm in a fixed-point operation mode based on the control instruction and the state information of the brushless direct current motor so as to generate a motor driving signal; and the driving module is connected with the control module and is used for receiving the motor driving signal and driving the brushless direct current motor to operate. According to the brushless direct current motor control system provided by the embodiment of the invention, hardware operation load is simplified through fixed-point operation, a low-cost embedded processor is adapted, and the problem that a field-oriented control algorithm on a low-cost hardware platform is difficult to consider both operation efficiency and control precision is solved.

A method is provided for operating a hand-guided processing device that has a rotating and / or circulating cutting tool, an electric motor drive system wherein the electric motor drive system is configured for generating a torque for driving the cutting tool, and a user-operable control element. The method automatically monitors whether a blocking criterion is fulfilled, wherein the blocking criterion is characteristic of a blocking of the cutting tool, and if the blocking criterion is fulfilled and the control element operated, automatically lowers the torque generated by the electric motor drive system, and temporally thereafter, automatically increases the torque generated by the electric motor drive system.

The invention provides an aviation permanent magnet synchronous motor control architecture based on master-slave redundancy and model prediction, belongs to the field of aviation electric propulsion control systems, and aims to solve the problems of extreme environment parameter drift, single-fault shutdown, multi-target control conflict, fault diagnosis lag and the like of an existing system. The control architecture comprises a master-slave dual-redundancy control unit, a wide-temperature-range adaptive model prediction control unit, an electromagnetic interference adaptive suppression unit and a multi-dimensional fault tolerance unit. According to the invention, a DSP + FPGA heterogeneous redundant architecture is matched with two-out-of-three voting logic, so that fault non-perception switching is realized; an extended Kalman filter observer is embedded to update motor parameters on line, and take-off / cruise / landing three modes are preset; interference at the frequency band of 100kHz-10MHz is controlled and suppressed through adaptive notch filtering and a sliding mode variable structure; a long short-term memory network is fused to realize accurate diagnosis of early faults, and the system is adaptive to aviation scenes such as electric general aviation aircrafts and unmanned aerial vehicles.

The invention relates to a carrier frequency control method and system based on a direct current brushless motor, and the method comprises the steps: receiving a starting signal, and obtaining an actual rotating speed value of the direct current brushless motor through a rotating speed sensor; presetting a rotating speed threshold value, comparing the actual rotating speed value with the preset rotating speed threshold value, and adjusting the carrier frequency to be a first frequency value or a second frequency value according to a comparison result; a rising hysteresis threshold value and a falling hysteresis threshold value are preset, and the carrier frequency is prevented from being switched back and forth between the first frequency value and the second frequency value; when the carrier frequency is a second frequency value, acquiring a temperature value of the motor driving chip, and when the temperature value is higher than a temperature early warning value, further dynamically adjusting the carrier frequency; and obtaining the current carrier frequency, and adjusting the cut-off frequency and the common-mode inductance parameter of the LC filter according to the current carrier frequency, thereby optimizing the electromagnetic compatibility. According to the invention, the carrier frequency is dynamically adjusted in a grading manner, thermal management and electromagnetic compatibility design are optimized, and the balance of efficiency, noise and reliability is realized.

The invention belongs to the technical field of permanent magnet synchronous motor control, and particularly discloses a permanent magnet synchronous motor finite time switching active-disturbance-rejection rotating speed control method, which comprises the following steps: acquiring a reference rotating speed and an actual rotating speed of a permanent magnet synchronous motor; the absolute value of the error between the reference rotating speed and the actual rotating speed is calculated and compared with a preset first threshold value and a preset second threshold value, and the stage of the permanent magnet synchronous motor is judged; constructing a finite time cascade expansion state observer comprising a first-stage finite time ESO and a second-stage linear ESO to observe the state and lumped disturbance of the permanent magnet synchronous motor; and based on the stage of the permanent magnet synchronous motor, selecting a composite state of the observation value of the first-stage finite time ESO, the observation value of the second-stage linear ESO or the observation value of the first-stage observer and the observation value of the second-stage observer generated based on the Bezier curve to generate the rotating speed loop control law of the permanent magnet synchronous motor. According to the invention, the problems that the transient anti-interference capability is weak and the current performance is reduced due to the fact that transient control and steady-state control are not distinguished in the prior art are solved.

The invention discloses a rotor observation method and device of a permanent magnet synchronous motor, a motor and a storage medium, and relates to the technical field of permanent magnet synchronous motor control, and the method comprises the steps: employing a low-speed observer to observe a motor rotor under the condition that the rotating speed of the motor is smaller than a first preset rotating speed, performing closed-loop regulation on the rotating speed of the motor according to an output result of the low-speed observer; when the rotating speed of the motor is increased to be larger than the first preset rotating speed and smaller than the second preset rotating speed, a low-speed observer and a high-speed observer are adopted to observe a motor rotor at the same time, and closed-loop adjustment is conducted on the rotating speed of the motor according to the output result of the low-speed observer; the second preset rotating speed is greater than the first preset rotating speed; and when the rotating speed of the motor is increased to be greater than a second preset rotating speed, obtaining a synthesis result according to the output result of the low-speed observer and the output result of the high-speed observer, and performing closed-loop adjustment on the rotating speed of the motor according to the synthesis result. The method has the effect of improving the stability of the observer switching process.

A washing machine includes: a drum configured to be rotatable inside a tub; a motor including a stator and a rotor and configured to rotate the drum; an inverter circuit connected to the motor; and at least one processor configured to compensate for a q-axis current command value (m is a natural number) of the motor based on an m-order harmonic component and a position of the rotor, and control the inverter circuit to drive the motor based on the compensated q-axis current command value, the m-order harmonic component being filtered by the band-pass filter from a speed error value of the rotor.

The invention relates to a sensorless brushless direct current motor direct torque control method based on robust extended Kalman filtering. The method comprises the following steps: acquiring stator voltage and current, and estimating an estimated rotor position, an estimated speed and an estimated electromagnetic torque of a motor through a robust extended Kalman filtering algorithm; determining a voltage space sector where a rotor flux linkage vector is located based on the estimated rotor position and the estimated speed of the motor; determining a target value based on the estimated electromagnetic torque and a reference electromagnetic torque, the target value being used to characterize a magnitude of desired electromagnetic torque adjustment; based on the voltage space sector where the rotor flux linkage vector is located and the target value, a voltage vector corresponding to the motor is obtained, and the voltage vector is used for driving the rotor flux linkage vector to rotate in the needed direction. By adopting the method, accurate control of the motor is realized without adopting a sensor.