2181results 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 relates to the technical field of direct-current brushless gear motor auxiliary control, and discloses a control method and system for a direct-current brushless gear motor, and the method comprises the steps: carrying out the control of the direct-current brushless gear motor based on the real-time data during the starting and stopping of the motor, including detection data (such as temperature, vibration, noise and the like), operation data (such as current, voltage, torque and the like), and load data; and comparing and analyzing with preset historical detection data to judge whether the motor has a fault: when a large data difference is detected, evaluating the severity of the motor fault through a fault scoring mechanism. If the fault score exceeds a preset threshold value, early warning is triggered, and a corresponding control method is selected according to the fault type, so that fault processing or control strategy adjustment is carried out, and stable operation of the motor is ensured. According to the invention, the maintenance and fault diagnosis process of the motor is optimized by combining the fault score and the dynamic adjustment of the control strategy and through the real-time monitoring and analysis of the operation data and the load data, and the efficiency and accuracy of fault response are improved.

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 discloses a servo system speed loop parameter self-tuning method based on digital-analog linkage. The method comprises the following steps: establishing an open-loop transfer function of a speed loop of a servo system; parameters of a speed ring are initialized, a same-frequency and same-amplitude speed instruction is sent to a motor to drive a load to operate, and the total rotation inertia of the motor is calculated; a mapping relation equation is determined, and parameters of a speed PI controller are obtained; discretizing the parameters of the speed PI controller by adopting a bilinear method to obtain a discrete proportional gain and a discrete integral gain; determining constraint conditions of the servo system and calculating an evaluation function value according to the ITAE performance evaluation function; obtaining optimal control parameters by adopting a coordinate rotation method; corresponding discrete proportional gain and discrete integral gain are calculated according to the optimal control parameters to serve as parameters of a speed PI controller to complete parameter setting, and load operation is achieved according to a speed instruction. According to the method, the setting process is more efficient, the calculation parameters are more accurate, the manual debugging time can be greatly shortened, and the universality is good.

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 utility model discloses a motor controller power supply framework and a new energy vehicle, and relates to the field of new energy vehicles, and the motor controller power supply framework comprises a plurality of power supply modules, a protection module, an upper bridge power supply circuit and a lower bridge power supply circuit. A plurality of redundant power supply modules are arranged, the upper bridge and the lower bridge of the driving circuit for driving the power modules are separated, and independent power supply of the upper bridge driving circuit and the lower bridge driving circuit is realized through the upper bridge power supply circuit and the lower bridge power supply circuit; the motor control module can still control the drive circuit to enter a safe state when a single-point failure condition exists in a power supply framework, so that the problem of overvoltage damage of a power module and a bus capacitor caused by power loss of a system is avoided, and the operation safety is improved.

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 provides a double-permanent-magnet synchronous motor rotating speed synchronization method based on an active-disturbance-rejection technology. The method comprises the following steps that 1, a linear active-disturbance-rejection controller replaces a traditional PI controller to serve as a speed ring controller of a double-permanent-magnet synchronous motor; and 2, taking the sliding mode cross coupling controller as a rotating speed synchronous controller between the double motors. The method has the beneficial effects that the control strategy and the control structure are improved, and high-precision synchronization of the rotating speed is realized. A linear active-disturbance-rejection controller is designed according to a mathematical model of the permanent magnet synchronous motor, so that the disturbance rejection and the dynamic response speed of the system are improved; a sliding-mode cross-coupling controller is designed based on the cross-coupling control structure, and high-precision synchronization of the rotating speed is realized through the sliding-mode cross-coupling controller.

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 utility model discloses an electric tool and walking equipment, and the electric tool comprises a working part which is configured to have a maximum output rotating speed, and a motor which is configured to have a maximum rotating speed; the transmission assembly is configured with a transmission ratio; the driving circuit comprises one or more driving switches; a controller for outputting a control signal to control one or more drive switches of the drive circuit; wherein at least one driving switch in the driving circuit comprises a wide bandgap semiconductor switch, and the ratio of the required maximum rotating speed of the motor to the maximum rotating speed of the motor is smaller than or equal to 0.9. The electrical performance of the motor system of the electric tool is good.

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.

A motor control system includes a measurement interface designed to measure a mechanical angle of a shaft driven by a motor and a rotational speed of the shaft, and to generate a speed feedback signal representative of the rotational speed, a speed controller, and a current controller.The speed controller comprises an error component configured to generate a speed error signal based on the difference between a speed reference signal and the speed feedback signal; a proportional-integral controller configured to regulate a torque reference value based on the speed error signal and to maintain a speed reference value; and a load torque ripple compensator configured to apply a torque feedforward function to reduce load torque ripple in the torque reference value. The current controller is configured to drive motor currents to generate a torque equal to the torque reference value.

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.

The invention discloses a fault-tolerant operation method of a Hall sensor permanent magnet synchronous motor capable of being directly started, which comprises the following steps of: degenerating a multi-Hall sensor rotor information estimation system with sector position errors into a system consisting of one Hall sensor; only one effective Hall signal can be output after the rotor rotates for one electric cycle, and the position between the two Hall signals is regarded as a generalized sector; the rising edge or the falling edge of each single Hall sensor adopts a zero-order closed-loop algorithm to estimate rotor information in a narrow sector adjacent to the sector edge of the single Hall sensor; different Hall sectors are numbered and output according to the output of a Hall sensor rotor information estimation system, after a rising edge or a falling edge is detected, the number of the current entering Hall sector is accurately output, and fault-tolerant operation is performed on the basis. According to the method, the motor can be directly driven to operate in an actual working state, and continuous and high-cost-performance operation of the Hall motor is facilitated.

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 mowing machine and an electric tool, and the mowing machine comprises a cutting assembly which comprises at least one cutting blade and a cutting motor which drives the cutting blade to execute a cutting action; the power supply device is at least used for supplying power to the cutting motor; and the controller is configured to estimate the rotational inertia of the cutting motor and control the operation of the cutting motor according to the rotational inertia. According to the technical scheme, fault detection of the cutting blade can be achieved through the rotational inertia of the cutting motor, and the reliability of fault detection of the cutting blade is improved.

The invention discloses a manicure pen direct current brushless driver operation speed regulation and control method based on artificial intelligence, which is used in the field of manicure instrument regulation and control, and comprises the following steps: obtaining operation data of a manicure pen direct current brushless driver; according to the characteristic data, constructing a performance prediction model of the manicure pen direct current brushless driver, and utilizing the performance prediction model to predict the operation state of the manicure pen direct current brushless driver; predicting an operation state in a future preset time according to the output of the performance prediction model, and calculating a pulse width modulation duty ratio and a bus voltage; and the actual operation state of the adjusted direct current brushless driver of the manicure pen is monitored in real time, new operation data is fed back to the performance prediction model, and parameters of the performance prediction model are optimized. According to the method, key feature data are automatically screened out through a soft threshold function in the residual shrinkage unit; weights of easy-to-classify samples are reduced, and a maintenance plan is optimized.

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.