108results about "Software algorithm control" patented technology

The invention discloses an inverter intelligent control method based on a self-adaptive algorithm, and relates to the technical field of inverter intelligent control, and the method comprises the steps: multi-source temperature collection and environment recognition, machine learning-based electric-thermal coupling prediction, self-adaptive inverter parameter optimization, and cooperative thermal management and fault diagnosis self-repairing. According to the high-temperature or low-temperature failure risk of the motor and the inverter under the extreme climate, temperature distribution and load information are obtained in real time, the temperature rise trend is predicted in advance, and the current, voltage and modulation strategy of the inverter are actively adjusted, so that safe derating or torque compensation is achieved; multi-sensor cross validation and observer fusion are carried out when sensors drift or devices are aged, stable operation and efficient energy utilization of the system are kept, and the drivability and the whole vehicle reliability in an extreme environment are remarkably improved; in the process, fault diagnosis and self-repairing can be further improved through online model updating, and the durability and economical efficiency of the electric drive system are improved.

The invention relates to the technical field of motor control, in particular to a permanent magnet synchronous motor online parameter identification system and a compensation method thereof, comprising a data acquisition module, a deep transfer learning parameter identification module, a parameter optimization module, a temperature compensation module and a controller parameter integration module. The deep transfer learning parameter identification module establishes mapping and function relations between characteristic factors and motor parameters through a teacher network, a transfer network, a memory network and an output layer, processes time sequence information and outputs a parameter identification result, and the parameter optimization module finely adjusts the parameters based on a particle swarm optimization algorithm. The temperature compensation module carries out temperature compensation on the optimized parameters according to a temperature distribution model, the controller parameter integration module generates control parameters, and the motor control module generates torque control signals according to the control parameters, so that fusion processing of multi-physical field characteristics is realized, and the precision and adaptability of parameter identification are greatly improved; and the d-q axis inductance identification error is reduced by more than 70%, and the millihenry-level precision is achieved.

The invention relates to the technical field of servo drivers, in particular to a servo driver control method, and the technical scheme comprises the steps: carrying out the online identification of load inertia and external disturbance through a self-adaptive observer, generating a dynamic compensation parameter, constructing a multi-model parallel self-adaptive observer group, and carrying out the online identification of the load inertia and external disturbance through the self-adaptive observer group, a dynamic confidence evaluation mechanism is designed, disturbance dynamic compensation is realized, parameter sudden change and slow change scenes can be taken into consideration, the real-time performance of dynamic response can be ensured, compensation parameters are input into a fuzzy neural network controller, an optimal control quantity is generated in combination with a preset control target, a multi-source compensation parameter input channel is constructed, and the optimal control quantity is generated. A dynamic input weighting module is designed, fuzzy rule confidence is updated through an online strategy gradient algorithm to generate an optimized control quantity, the working condition adaptability can be enhanced, a dynamic target can be dealt with, finally, a sliding mode variable structure algorithm is adopted to carry out high-frequency buffeting suppression on the control quantity, and a final driving signal is output to a power module. And the control precision of the servo driver is improved.

The invention discloses a load prediction-based regenerative braking electric hoist control method for hot-line work, and relates to the technical field of electric hoist control. The method comprises the following steps: collecting parameters of the electric hoist, and obtaining a predicted load weight according to an LSTM model; adjusting parameters of a PID controller according to the load weight, recording the parameters as initial PID parameters, generating a control signal according to the initial PID parameters, and driving the electric elevator to operate; setting a regenerative braking triggering standard, and judging whether the electric hoist reaches the regenerative braking triggering standard or not; if the electric hoist reaches the regenerative brake triggering standard, monitoring the recovered energy and generating an expected cumulative reward Q; and updating the optimized PID parameter according to the expected cumulative reward Q to obtain an updated PID parameter, and generating a control signal according to the updated PID parameter to control the electric hoist. According to the invention, the reliability of control of the regenerative braking electric hoist based on load prediction for hot-line work is improved.

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

The invention discloses a method, a system and a related device for controlling a motor based on an adaptive algorithm, which are used for improving the accuracy of motor control. The method comprises the following steps: acquiring initial data of a motor; decomposing the initial data into intrinsic mode function components, and performing time-frequency transformation on the intrinsic mode function components; dynamic time-frequency features of the intrinsic mode function component are extracted, cross-band weighted fusion is carried out on the dynamic time-frequency features through a preset attention weighting mechanism, and a multi-dimensional feature vector is generated; inputting the multi-dimensional feature vector into a preset deep learning model, and constructing a target prediction model in combination with a loss function and an adaptive momentum optimization algorithm; transmitting the target prediction model to an analysis module of the motor to obtain a load change trend and a confidence coefficient; dynamically adjusting the proportion of the weight of the PID controller according to the load change trend and the confidence coefficient, and optimizing the parameters of the unit of which the proportion is adjusted through a gradient descent method; and dynamically regulating and controlling the motor based on the PID controller.

The invention provides an industrial servo motor operation control method and system, and the method comprises the steps: collecting the motion image data of load equipment in a preset track parameter, carrying out the preprocessing and positioning of the motion image data, and obtaining the real-time position coordinate data of the load equipment; determining theoretical position coordinate data corresponding to the load equipment at each acquisition moment based on a preset trajectory parameter, and comparing the real-time position coordinate data with the theoretical position coordinate data to obtain trajectory deviation data at each acquisition moment; on the basis of the trajectory deviation data in combination with motion correlation characteristics of the servo motor and a preset control target, candidate control instructions for generating a plurality of future control periods in each control period are determined; and evaluating and screening the candidate control instruction set based on a minimization strategy of the trajectory deviation data to obtain a target control instruction, converting the target control instruction into a signal, and outputting the signal to a servo motor driver. The precision of industrial production and the stability of the production process are guaranteed.

The invention discloses a multi-working-condition load matching method and system for a hydraulic motor for an oil pump, and the method comprises the steps: collecting multi-source operation data of the hydraulic motor for the oil pump under different working conditions, and the multi-source operation data comprises pressure, flow and rotating speed signals; performing signal decomposition on the multi-source operation data to obtain a plurality of working condition component signals; extracting time-frequency domain characteristics of each working condition component signal, and calculating an optimal decomposition scale based on extreme point time difference and energy distribution balance; dividing dynamic load sections according to the optimal decomposition scale, and analyzing the main parameter matching degree and the working condition credibility of each load section; and generating a self-adaptive adjustment coefficient based on the main parameter matching degree and the working condition credibility, and dynamically adjusting output parameters of the hydraulic motor according to the self-adaptive adjustment coefficient to realize multi-working-condition load matching. According to the method, the credibility weight factor is calculated through the multi-dimensional parameters, the working condition credibility is accurately quantified, a reliable basis is provided for self-adaptive adjustment of the hydraulic motor for the oil pump, and the multi-working-condition operation performance is improved.

The invention relates to the field of motor control and adjustment, in particular to a motor rotating speed adjusting method and system for a remote control driving vehicle, and the method comprises the steps: obtaining and preprocessing vertical, transverse and longitudinal vibration signals and running speed data of each wheel of the vehicle; extracting a vibration anomaly feature sequence and an average vehicle speed sequence through a sliding window method, and analyzing correlation to quantify road condition features; quantizing the wheel cooperative stability based on the wheel vibration correlation and the transverse / vertical energy ratio difference degree, and fusing the maximum road condition feature value and the stability mean value to obtain a rotating speed adjustment factor; the actual target rotating speed of the motor is calculated by combining the preset vehicle speed, the transmission ratio and the like, and precise vehicle speed adjustment is achieved through PID closed-loop control. According to the method, the rotating speed adjusting factor is constructed by quantifying the three-dimensional road condition characteristics and the vehicle dynamic stability, real-time adaptive adjustment of the vehicle speed is achieved in combination with PID closed-loop control, and the safety and stability of remote control driving are remarkably improved.

Electrical apparatus (20) includes an inverter (24) having input terminals for receiving DC input power and output terminals for coupling to an AC power grid. A pulse-width modulation (PWM) generator and drivers (26) drive the switches so as to control respective amplitudes, frequencies, and phases of the output current waveforms of the inverter. Control circuitry (28) receives measurements of respective time-varying voltages and currents on the input and output terminals, computes a model (40) that includes three virtual currents flowing in a synchronous machine that is emulated by the apparatus, wherein the three virtual currents are associated respectively with the three output current waveforms, and controls the PWM generator and drivers responsively to the three virtual currents so as to synchronize the amplitudes, frequencies, and phases of the three output current waveforms of the inverter with the three phases of the AC power grid.

A hydraulic system for a vehicle is provided. The hydraulic system includes a first electric motor, a second electric motor, a gearbox arranged to be driven by the first and second electric motors, a hydraulic pump arranged to be driven by the gearbox, and a control arrangement configured to individually control the first and second electric motors to either run at a reference speed or to deliver a reference torque and during operation control at least one of the first and second electric motors to deliver a reference torque.

The application discloses a torque control method, device, equipment, storage medium and program product, and belongs to the technical field of electromechanics. The method comprises the following steps: acquiring an expected output torque, an actual output torque and a current control value of a driving device, wherein the driving device comprises a rotating motor; determining an updated current control value based on the expected output torque and the actual output torque; determining a disturbance current compensation value based on the actual output torque, the current control value and a current compensation model; adjusting the updated current control value based on the disturbance current compensation value to obtain an adjusted updated current control value; and controlling the rotating motor to operate based on the adjusted updated current control value. According to the application, the adjusted updated current control value is more accurate, the number of control adjustments is reduced, and the adjustment efficiency is improved.

The invention discloses a multi-motor synchronous control method, a multi-motor synchronous control device, multi-motor synchronous control equipment and a computer readable storage medium, and belongs to the field of motor control. And the speed consistency can be improved by uniformly driving each motor through the target driving current determined based on the closed-loop control algorithm, so that the current actual running speed and the current target running speed of the motor set for driving the track are determined in each preset period; according to the deviation value of the actual operation speed relative to the target operation speed, target driving current is determined through a closed-loop control algorithm; finally, all motors in the motor set are driven through the target driving current, the target driving current can be periodically updated, all the motors are uniformly driven, the running speed of all the motors is made to periodically approach the target running speed, and therefore the speed consistency of all the motors can be improved, and losses of the motors and rail components are reduced.

This invention discloses an intelligent inverter control method based on an adaptive algorithm, belonging to the field of intelligent inverter control technology. It employs a five-step approach: multi-source temperature acquisition and environmental identification, machine learning-based electro-thermal coupling prediction, adaptive inverter parameter optimization, collaborative thermal management, and fault diagnosis and self-repair. Addressing the risk of high or low temperature failures in motors and inverters under extreme climates, it acquires real-time temperature distribution and load information, predicts temperature rise trends in advance, and proactively adjusts inverter current, voltage, and modulation strategies to achieve safe derating or torque compensation. Furthermore, it performs multi-sensor cross-validation and observer fusion when sensors drift or components age, maintaining stable system operation and efficient energy utilization, significantly improving driving performance and vehicle reliability in extreme environments. During this process, online model updates further refine fault diagnosis and self-repair, enhancing the durability and economy of the electric drive system.

The load control system is configured to generate, by software, a function capable of using the power conversion device for a prescribed use in a case where hardware and software-based cooperative security authentication is established by cooperation between at least the control device and the power conversion device.

The invention relates to the technical field of motor control, in particular to a stability control method and device for a household appliance motor, and the method comprises the steps: obtaining a rotating speed data sequence, a current data sequence and a torque data sequence of each adjustment time period; according to the data characteristics of all the rotating speed attenuation positions and all the current lifting positions in the single adjustment time period and the energy characteristics of the high-frequency components in the current data sequence, obtaining a load unbalance factor in the single adjustment time period; according to the fluctuation amplitude change characteristics in the torque data sequence of the single adjustment time period and the non-linear correlation degree of the torque data and the rotating speed data in the single adjustment time period, the torque anomaly of the single adjustment time period is obtained; and obtaining an adjustment factor of a single adjustment time period, and further adjusting the proportional parameter of the next adjustment time period. According to the invention, the stability of the working process of the motor is improved by adaptively adjusting the proportional term parameters in the PID algorithm in each adjustment period.

The invention discloses a torque control method and device, equipment, a storage medium and a program product, and relates to the technical field of motor control, and the method comprises the steps: determining a target pulse width based on a preset pulse width and a preset pulse width change coefficient in response to a torque control instruction, and determining a torque amplitude value based on the target pulse width and a preset torque amplitude value; generating a target pulse modulation signal, and performing torque control based on the target pulse modulation signal; under the condition that the preset torque amplitude is the same and the target pulse width is greater than the preset pulse width, the target area of the target pulse modulation signal in the single pulse period is the same as the area of the preset pulse modulation signal in the single pulse period; if yes, reducing the corresponding torque in a period of time starting from the pulse starting moment and / or a period of time before the pulse ending moment; therefore, the shaking or NVH problem of the whole vehicle is fundamentally relieved, and the driving comfort of the vehicle is improved.

A motor position control system includes a central server including first information of a first display device and second information of a second display device, and a motor position control device which controls positions of the plurality of motors, where the motor position control device includes a controller which receives the first and the second information from the central server and store the first and the second information in a memory, controls the positions of the plurality of motors based on the first information, calculates at least one value based on the first and the second information, selects at least some motors based on the at least one value, and controls positions of the at least some motors based on the at least one value.

A nonlinear and adaptive alternating-current servo electric motor angular position control method and system includes: acquiring original electric motor rotor angular position data; inputting the original electric motor rotor angular position data into a rotor angular position control module; performing second-order time differentiation on the electric motor rotor position data, so as to generate electric motor rotor angular acceleration data; inputting the electric motor rotor angular acceleration data and an output from the rotor angular position control module into an incremental inverse dynamic control module at the same time; and inputting the output from the incremental inverse dynamic control module into an electric motor current control module.

The embodiment of the invention provides a motor control method and device, electronic equipment and a storage medium, and the method comprises the steps: firstly, obtaining a target speed instruction, and obtaining a real-time rotating speed signal of a motor in a current sampling period; then, based on the target speed instruction and the real-time rotating speed signal, an initial current control instruction is generated; then, based on the real-time rotating speed signal, the real-time angular acceleration of the motor is determined, and a compensation current instruction is generated based on the real-time angular acceleration; and finally, generating a target current control instruction based on the compensation current instruction and the initial current control instruction, and performing operation control on the motor based on the target current control instruction, thereby effectively suppressing resonance disturbance, enabling acceleration and deceleration characteristics of the motor to tend to be gentle, remarkably reducing rotation speed fluctuation, enabling system dynamic response to be smoother, and improving system performance. Therefore, the anti-interference performance and the operation stability of the whole motor transmission system are improved.

A controller for an open power unit (OPU) 10, the OPU having a motor 4 outputting mechanical power to a machine 1. The controller 11 obtains a mechanical power demand from the machine, an operating st

The invention provides a water-air dual-purpose non-inductive motor direct thrust control method based on a hybrid observation strategy. The water-air dual-purpose non-inductive motor direct thrust control method comprises the following steps: estimating an electrical angle and an electrical angular speed of a motor rotor by adopting a speed-division non-inductive hybrid observation strategy; based on a high and low speed observation algorithm smooth switching mechanism of dynamic hysteresis, smooth fusion of two algorithm outputs in a dynamic hysteresis interval is realized through a weighted fusion algorithm; direct thrust control models are respectively constructed for water-air cross-medium scenes, and direct thrust is controlled by using a fuzzy-adaptive fractional order sliding mode controller. The hybrid observation strategy gives consideration to high-speed and low-speed working conditions, and the observation precision is improved by more than 30%; through a smooth switching mechanism based on dynamic hysteresis, high and low speed switching jitter is eliminated, and angle and speed estimation fluctuation is reduced by more than 40%; the accuracy of flight control response is improved and the control precision is optimized through a non-inductive motor direct thrust control method in a water-air different-domain scene; the thrust response speed is increased by more than 25%, and the control error is reduced to be within 5%.

A present measurement assistance device is a measurement assistance device that inputs a measurement signal used for a frequency response analysis of a servo system to the servo system, the measurement assistance device including a generation unit configured to generate a first signal determined to eliminate a shift between a first position of a load of the servo system at a start of an excitation with respect to the servo system of a speed command signal that changes with time to include a large number of frequency components and a second position of the load at an end of the excitation of the speed command signal, a synthesizing unit configured to generate a synthesized signal in which the first signal is superimposed on the speed command signal, and an excitation execution unit configured to input the synthesized signal to the servo system.

The application discloses a kind of switch reluctance motor position sensorless control methods based on CKF, comprising: determining the flux linkage characteristic and torque characteristic of switch reluctance motor;Set switch reluctance motor state vector, observation vector and control vector, and construct the space state equation and measurement equation of switch reluctance motor model;The space state equation and measurement equation are discretized;Based on volume Kalman filter (CKF) algorithm, the speed and rotor position of motor are estimated: state vector and state error covariance matrix are initialized, then time update and measurement update are carried out;Finally, the estimated value of speed and rotor position is obtained.The application does not need too much parameter adjustment, guarantees the real-time of calculation while improving the position identification accuracy, increases the robustness of system, effectively avoids the deficiency that traditional method is influenced by switch reluctance motor speed range.

To provide an electric power tool capable of executing FOTA while suppressing a decrease in work efficiency.SOLUTION: An electric power tool includes: an electric motor; a communication device; and a first control unit including a first storage section that stores a control program for driving the electric motor, a second storage section for storing an update program of the control program that is to be received by the communication device, and a processor configured to be able to drive the electric motor by executing the control program after the communication device starts reception of the update program.SELECTED DRAWING: Figure 3

The application discloses a motor parameter corrector, a method, an air conditioner and a storage medium, wherein the motor parameter correction method comprises the following steps: acquiring a current working current of the motor; determining a target current interval in which the current working current is located; determining a corresponding first correction function according to the target current interval, and outputting a corrected motor parameter according to the current working current and the first correction function, wherein different target current intervals correspond to different first correction functions; and the technical scheme is designed to solve the problem that the existing single set of motor parameters cannot meet the precision of a control model.

The invention discloses a torque control method and device, equipment, a storage medium and a program product, and relates to the technical field of motor control. When the working parameters meet the preset parameter requirements corresponding to the type of the motor, the torque of the motor can be controlled directly based on a torque control instruction sent by a vehicle control unit; when the working parameters of the vehicle do not meet the preset parameter requirements corresponding to the type of the motor, pulse parameters are determined on the basis of the current operation working condition, pulse modulation signals are generated on the basis of the pulse parameters, and the torque of the motor is controlled on the basis of the pulse modulation signals; the same pulse modulation signal can be prevented from being adopted when the torques of different types of motors or motors under different working conditions are controlled, so that the efficiency of a motor driving system is improved.

A power converter includes a trace module designed to record trace signals in accordance with a trace configuration, a storage unit designed to store the trace signals recorded by the trace module, and a web server designed to enable creation of the trace configuration via a web client and to provide the trace signals stored by the storage unit to the web client. The trace configuration specifies, for each type of trace signals to be recorded, a sampling rate for the recording of the trace signals.

A method of operating a motor using a motor controller module, wherein the motor controller module is configured for electrical communication with a power source and the motor, the method having the steps of; obtaining an input signal from the power source, generating an output signal by manipulating the input signal to skip at least a portion of a signal cycle of the input signal, and transmitting the output signal to the motor. The motor controller module may be configured to manipulate the input signal to generate the output signal by selectively actuating a plurality of switches to skip the at least a portion of the input signal. By selectively skipping whole or partial signal cycles in the output signal while sufficient motor operating conditions are achieved, the amount of power sent to the motor may be reduced, thus saving energy and reducing motor heating and wear.

The present application relates to the field of motor control adjustment, and particularly relates to a motor speed adjustment method and system for remotely driving a vehicle, the method comprising: acquiring and preprocessing vertical, lateral and longitudinal vibration signals of each wheel of the vehicle and driving speed data; extracting vibration abnormal feature sequences and average speed sequences through a sliding window method to analyze correlation and quantify road condition features; then quantifying wheel cooperative stability based on wheel vibration correlation and lateral / vertical energy ratio difference, obtaining a speed adjustment factor by fusing maximum road condition features and average stability; combining preset speed, transmission ratio and the like to calculate an actual target speed of the motor, and realizing accurate speed adjustment through PID closed-loop control. The present application constructs a speed adjustment factor by quantifying three-dimensional road condition features and vehicle dynamic stability, and realizes real-time adaptive adjustment of the speed by combining PID closed-loop control, thereby significantly improving the safety and stability of remote driving.