2983results about "Motor parameters estimation/adaptation" patented technology

The invention relates to the technical field of servo motor control, and discloses an intelligent servo motor control method and device and computer equipment. The method comprises the following steps: carrying out multi-dimensional data acquisition and preprocessing on a position loop, a speed loop and a current loop of the intelligent servo motor to obtain standard structured parameter data; identifying a working condition characteristic parameter set of the intelligent servo motor; establishing a two-stage optimization architecture comprising a motor parameter layer and a control algorithm layer, and generating a dynamic parameter adjustment mapping table; a depth deterministic strategy gradient network is trained based on the characteristic parameter set and the dynamic parameter adjustment mapping table, and an optimal control strategy model for different working conditions is generated; and the optimal control strategy model is utilized, control parameters are automatically switched according to the working condition types recognized in real time, and smooth transition control of the intelligent servo motor among different working conditions is achieved. Smooth switching among different working conditions is achieved, system oscillation caused by sudden change of control parameters is avoided, and the disturbance influence in the working condition switching process is greatly reduced.

The invention provides a control method based on differential rotation speed torque distribution, which relates to the technical field of intelligent control and comprises the following steps: performing difference calculation on an initial input quantity and a preset rotation speed instruction to generate a rotation speed deviation signal and a deviation change rate, and establishing a dynamic membership function library through a fuzzy controller; mapping the rotating speed deviation and the change rate thereof into a fuzzy language variable, performing reasoning operation according to a preset fuzzy control rule base, and outputting a frequency regulation quantity and a torque compensation coefficient of the frequency converter; and reading the generated torque compensation coefficient and shaft system torque values actually measured by the two torquemeters, calculating a dynamic difference value between the current total load torque and the target torque, establishing a torque distribution weight model according to the transmission characteristics of the differential mechanism, and generating differential torque correction instructions of the two motors in combination with the real-time rotating speed values. The control performance of differential drive is improved.

Techniques for controlling a vehicle based on a collision avoidance algorithm are discussed herein. The vehicle receives sensor data and can determine that the sensor data represents an object in an environment through which the vehicle is travelling. A computing device associated with the vehicle determines a collision probability between the vehicle and the object at predicted locations of the vehicle and object at a first time. Updated locations of the vehicle and object can be determined, and a second collision probability can be determined. The vehicle is controlled based at least in part on the collision probabilities.

The invention provides a rotor temperature estimation method and device of a motor, a vehicle and a storage medium, and the method is applied to the field of motor temperature monitoring, and comprises the steps: obtaining the current environment temperature, the current shutdown time, the stator loss and the rotor loss of the motor, determining the initial rotor temperature of the motor according to the current environment temperature and the current shutdown duration, and obtaining the temperature rise of the motor by using a preset thermal network model and a preset double-Kalman filter based on the current environment temperature, the stator loss and the rotor loss; and obtaining the actual rotor temperature of the motor according to the initial rotor temperature and the temperature rise. According to the method, the high-precision estimation of the rotor temperature of the motor is realized by establishing the thermal network model and combining the double Kalman filters, the dependence on a hardware sensor is not needed, the cost is reduced, and the reliability and robustness of the system are improved.

The invention discloses an intelligent frequency conversion control method, device and system based on dynamic data acquisition, and the method comprises the steps: obtaining the electromagnetic parameter waveform of a motor in real time, carrying out the deep analysis of features through a machine learning algorithm, and achieving the recognition of the abnormal recognition precision; synchronously acquiring a rotor position and an evaluation parameter set, executing an exception analysis strategy, generating a risk evaluation coefficient, and accurately locking an exception moment; in the process, through a synergistic effect of quantizing angle deviation, current abnormity and sampling delay, a mathematical framework is provided for fault prediction, and risks are reduced in the acquisition process; and under the condition that the risk assessment coefficient is received, the risk assessment coefficient and a preset assessment threshold are compared and analyzed, and whether a corresponding frequency conversion control instruction is executed or not is selected according to a comparison result, so that high-precision and high-efficiency intelligent frequency conversion control on the motor is realized.

An electronic starting switch assembly and control methods for a dryer having a split-phase induction motor. The assembly comprises a microcontroller unit (MCU) configured to execute a control method that dynamically manages the motor's operation by monitoring the forward magnitude current. The MCU determines a stabilized startup forward magnitude current and calculates a crossover condition, allowing for precise control of the motor's transition to single-phase operation by disconnecting the auxiliary winding and connecting the heater element based on real-time forward magnitude current analysis and processing. The system can also monitor for overload conditions indicative of rotor speed drops and can re-engage the auxiliary winding to maintain motor performance. The assembly includes a housing with a heat-sink for efficient thermal management and environmental protection of electronic components. The disclosed method provides a robust solution for efficient dryer operation by ensuring accurate control of motor start-up, running conditions, and overload protection.

The invention relates to a parameter control method for an ultrasonic motor, and the method comprises the steps: collecting key operation parameters, such as driving frequency, driving voltage, output power, operation temperature and the like, as well as internal strain parameters and load change data in real time through a sensor; and inputting the collected data into a pre-trained fault prediction neural network model, and generating a prediction result of fault risk assessment and potential anomaly types. And dynamically generating an adjustment strategy in combination with the prediction result and the current operation parameters, including adjusting the driving frequency to reduce internal strain accumulation, adjusting the driving voltage to reduce the operation stress and controlling the strain within a safe range. And executing the adjustment strategy in real time to optimize the operation parameters of the motor, storing the operation parameters, the prediction result and the control strategy in a database, and visually displaying the real-time state, the historical record and the fatigue trend of the motor through a human-computer interaction interface. According to the dynamic parameter optimization method based on predictive analysis, the service life of the motor can be effectively prolonged, and the operation reliability and safety are improved.

The invention discloses a current and voltage self-calibration method, and relates to the technical field of motor control, and the method comprises the steps: carrying out the compensation and correction of an acquired signal through a software algorithm, and setting a zero drift compensation value. The problem of false current signals caused by environmental interference is effectively solved, an expensive high-precision current sensor is not needed, the equipment cost and the installation and calibration cost are greatly reduced, sensor drift caused by factors such as temperature change, aging and mechanical stress can be compensated by correcting the collected signals in real time, and the accuracy of the sensor is improved. According to the real-time compensation method, the accuracy of measured data is ensured, the compensation model can accurately predict compensation parameter values according to the actual running situation of the motor and environment changes through learning and training of historical compensation data and environment parameter data, and therefore more accurate zero drift compensation can be conducted on collected current signals in the real-time compensation step.

The invention relates to the technical field of motor control, and discloses a cooperative control method and system for a high-speed motor with multiple cooling fans. The method comprises the steps that multi-dimensional data collection and standardization processing are conducted on each cooling fan unit in a target cooling system, a system state data matrix is obtained, and the target cooling system comprises a main cooling fan and a plurality of auxiliary cooling fans; performing discrete rotating speed response to obtain a continuous rotating speed control strategy; performing multi-dimensional dynamic feature extraction to obtain a system operation feature vector, and performing state feedback equation solution to obtain a mapping relation matrix; inputting a target control model for control parameter analysis to obtain an initial control sequence; inputting a dual Q network model to carry out master-slave fan control correction to obtain a control correction amount; according to the multi-cooling-fan cooperative control method and the multi-cooling-fan cooperative control system, cooperative control of the multiple cooling fans is achieved, and control conflicts are effectively avoided.

The invention discloses a self-adaptive logarithmic terminal sliding mode control method and device based on observation, and relates to the technical field of sliding mode control. According to the method, the terminal attractors are nested into the natural logarithmic function, terminal sliding mode control and logarithmic sliding mode control are effectively combined, rapid convergence can be achieved near and far away from the balance point, the global dynamics of the sliding mode surface is improved, and the sliding mode control efficiency is improved. Meanwhile, a self-adaptive logarithmic terminal sliding mode controller is constructed on the basis of super-spiral sliding mode control and self-adaptive gain, the self-adaptive gain is updated according to a self-adaptive law, the self-adaptive law is constructed on the basis of a preset nonlinear obstacle function, intelligent self-adaption of the super-spiral sliding mode control gain is achieved, and therefore sliding mode variables are restrained within a preset boundary; and the interference estimation error is quickly converged based on the estimation of the observer on the interference, the global quick convergence of the state tracking error is realized under the constraint of the sliding mode variable, the steady-state precision is high, the chattering phenomenon is weakened, and the convergence efficiency and the control precision 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 discloses a multi-motor cooperative control method and system based on speed compensation, particularly relates to the technical field of industrial multi-motor control, and is used for solving the problems of compensation misalignment and system oscillation caused by an existing parameter asynchronous drift working condition. Current and voltage signals of each motor are collected in real time, and dynamic resistance and inductance parameters are calculated on line; constructing a parameter variation causal entropy network to quantify causal influence intensity of single machine abnormity on the system, and synchronously generating a system collaborative vulnerability index to realize risk penetration perception; when low-frequency oscillation is detected, harmonic components are extracted, and a sensitivity grading model of parameter mismatch and oscillation frequency is established; a dominant compensation role is distributed based on causal entropy to focus on a key disturbance source, a dynamic amplitude limiting instruction is generated according to collaborative vulnerability to adapt to system stability, and resonance suppression priorities are distributed according to sensitivity levels to optimize resource configuration; and finally, a torque instruction is reconstructed and synchronously issued, so that cross-equipment accurate transmission of compensation energy is realized, and mechanical coupling oscillation is eliminated.

An electric linear actuator has a housing extending along a longitudinal axis. A spindle is provided in the housing and extends along the longitudinal axis. A rod is coaxially coupled to the spindle and extends from a proximal end located in the housing to a distal end located outside the housing. The rod is movable along the longitudinal axis in response to rotation of the spindle. A circuit board is located in the housing adjacent the proximal end of the rod. The circuit board includes a linear inductive sensor having a linear axis oriented parallel to the longitudinal axis. The linear inductive sensor senses an actual position of the proximal end of the rod.

The invention relates to the technical field of electric vehicle transmission and control, in particular to an electric vehicle speed reducer parking motor position feedback system. The system aims at solving the problems that the position feedback precision is reduced, the reliability is insufficient and the redundancy is deficient in a severe environment in the existing scheme. According to the system, through redundancy design of a main position sensing module (a magnetoelectric encoder) and an auxiliary position sensing module (an inductive sensor) and in combination with a multi-source data fusion module (based on Kalman filtering), anomaly detection and fault tolerance, position prediction and compensation and a temperature compensation and self-adaptive calibration mechanism, accurate feedback of the position of the parking motor rotor is achieved. According to the system, the accuracy and robustness of position feedback and the reliability of the system can be remarkably improved, the service life of a parking mechanism is prolonged, and the parking safety is improved.

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

The invention discloses a rotor unbalance rapid adjustment method based on Kalman filtering, and belongs to the technical field of rotor dynamic balance. According to the method, a rotor rotating speed signal is obtained through a magnetic encoder, and a piezoelectric vibration sensor is triggered to collect a radial vibration signal. In the aspect of signal processing, a zero phase shift filter is adopted to remove noise interference, and an initial phase and an amplitude are extracted by using FFT (Fast Fourier Transform). And calculating a rotating speed change rate based on the sliding time window, and judging whether the rotor is in a steady-state or transient-state working condition. Under the transient working condition, a state space model containing amplitude, phase and rotating speed is constructed, and unbalance adjustment parameters are predicted through Kalman filtering recursion; and under a steady-state working condition, accurately calculating a correction parameter by adopting a least square method. In addition, a least square fitting model based on a sine function is constructed, amplitude estimation is optimized, and the unbalance calculation precision is improved. According to the invention, the unbalance of the rotor can be quickly and accurately adjusted, and the stability and the service life of a rotating system are improved.

The embodiment of the invention provides a permanent magnet synchronous motor electrical eddy current sensor angle error compensation method, and belongs to the technical field of motor driving. The compensation method comprises the following steps: acquiring differential sine and cosine signals output by the eddy current sensor; calculating a direct-current bias error according to the differential sine and cosine signals so as to obtain differential sine and cosine signals after direct-current bias error compensation; calculating an amplitude asymmetric error compensation coefficient according to the extreme values of the differential sine and cosine signals after the DC bias error compensation so as to obtain the differential sine and cosine signals after the amplitude asymmetric error compensation; and calculating the position angle of the motor rotor according to the difference sine and cosine signals after the amplitude asymmetric error compensation, and compensating the position angle by using the second harmonic cosine wave component of the position angle to obtain the real position angle of the motor rotor after compensation. According to the method, only algebraic addition and subtraction and multiplication are used, the execution time of the system is saved, the operation efficiency is improved, and the requirement for obtaining the position angle in real time is met.

The invention provides a rotating speed control method for a brush motor, and relates to the technical field of data processing, and the method comprises the steps: collecting the voltage, current and rotating speed of the brush motor, calculating the change rates of the voltage, current and rotating speed at adjacent moments, constructing a corresponding change rate sequence, dividing the change rate sequence into a plurality of window intervals, and in each window interval, determining the rotating speed of the brush motor; calculating a delay amount group, judging whether the brush motor has response abrupt change or not, recording corresponding response abnormal moments, extracting rate evolution data corresponding to the response abnormal moments, calculating a weighted average rotating speed change rate, and obtaining a predicted rotating speed offset sequence; and according to a difference value between the predicted rotating speed offset sequence and the real-time rotating speed, calculating a compensation voltage increment, generating a compensation voltage signal, and ensuring that the rotating speed of the motor is stable. The rotating speed of the brush motor can be predicted, and the stability of the rotating speed is ensured through voltage correction.

The invention discloses a joint motor control method and system based on an angle sensor, a medium and a product, and relates to the field of general control or adjustment systems.The method comprises the steps that real-time angle data and temperature data of the angle sensor are collected, and a real-time data packet is generated; determining a rapid compensation parameter corresponding to the temperature value, performing preliminary compensation on the angle value to obtain a preliminary compensation angle value, and generating a motor control parameter to control a joint motor to operate; storing a plurality of continuous real-time data packets into a compensation cache region; when the number of the data packets in the compensation cache region reaches a preset number threshold value, temperature change features and angle drift features are extracted, and accurate compensation parameters are calculated; and performing secondary compensation on the preliminary compensation angle value based on the accurate compensation parameter to obtain an accurate compensation angle value, and updating the motor control parameter based on the accurate compensation angle value. According to the invention, response delay caused by a compensation algorithm can be reduced.

The invention relates to the technical field of motor control and sensors, and discloses a displacement error dynamic compensation method, device and equipment and a medium, and the method comprises the steps: obtaining the temperature data and original displacement data of a plurality of temperature measurement points in a moving part and an environment, calling a pre-built nonlinear mapping relation between a temperature gradient and a displacement deviation, and calculating the displacement error of the moving part; based on the nonlinear mapping relation, adaptive filtering is carried out on the temperature data and the original displacement data, a trend component representing temperature drift is separated out, displacement data without the trend component is obtained, and a dynamic compensation instruction is generated based on the trend component and the nonlinear mapping relation; and adjusting the displacement data of which the trend component is removed and outputting compensation displacement data. According to the method, the nonlinear mapping model of the temperature gradient and the displacement deviation is constructed, the drift trend is extracted in combination with multi-point temperature sensing and self-adaptive filtering, the compensation instruction is dynamically generated, accurate real-time correction of the displacement error is achieved, and the responsiveness and accuracy of compensation are improved.

The invention relates to the technical field of motor control, in particular to a motor controller adaptive rotary transformer processing method and system. The method comprises the following steps: firstly, acquiring a current rotary transformer signal and historical monitoring data of a motor, dividing stages and acquiring a total angle target of each stage; further in the current feedback adjustment process, the angle and the rotating speed of the motor rotor at each moment and the task progress of the motor at the current moment are obtained; further judging whether the current feedback regulation process is regulated or not; when it is further judged that the current feedback adjustment process needs to be regulated and controlled, similar parameters of the current stage and each historical reference stage are obtained according to similar characteristics of angles and rotating speeds of the current stage and the historical stage at the total angle target and the collection moment with the same collection sequence number; further obtaining a feedback control instruction after the current moment in the current stage according to the similar parameters and the PID control instruction in each historical reference stage; and finally controlling the motor according to the feedback control instruction.

The present disclosure provides a method and apparatus for measuring a rotational speed of a motor, a motor driving circuit, and an air conditioner. The method comprises: in response to a motor stop instruction, controlling a target motor to decelerate to a setting value; adjusting a motor driving circuit and acquiring the maximum phase current value of the target motor; and on the basis of a pre-stored correspondence between rotational speeds and currents as well as the maximum phase current value, calculating the rotational speed of the target motor. According to the method provided by the present disclosure, the current rotational speed of a motor can be calculated on the basis of a sampled current of a brushless motor without adding a counter-electromotive force measurement circuit and other circuits, so as to complete sensorless control of the brushless motor. The present invention has the characteristics of high integration, compact structure and low cost.

The invention discloses a servo control system and method based on data analysis, and relates to the technical field of servo control, and the system comprises a data collection unit which achieves the communication between a characteristic analysis system and a real object servo system platform through a storage and display mode based on different data sources, and a data analysis unit which carries out the data analysis of the real object servo system platform. The data analysis unit is used for analyzing time-domain characteristics and frequency-domain characteristics of the system and carrying out historical data analysis and real-time data monitoring on stored data, and the data processing unit is used for carrying out related processing on the received data based on a Mallat algorithm. According to the invention, real-time observation and control of speed and position are realized, time-domain characteristic analysis and frequency-domain characteristic analysis can be carried out on response of the servo system, data processing is realized by adopting a Mallat algorithm, and designed PI controller parameters are sent to a servo system controller to realize real-time control of the servo system.

The invention relates to the technical field of motors, and discloses a high-temperature-resistant direct-current coreless gear motor and a test system, and the system comprises a temperature monitoring module, a current regulation and control module, a heat dissipation optimization module, a load response module, a cloud analysis module and a virtual verification module. By arranging the temperature monitoring module, multi-dimensional temperature data during operation of the motor can be acquired in real time, and a temperature distribution diagram can be generated, so that the system can comprehensively sense the internal thermal state of the motor and accurately identify local overheating risk points, thereby improving the operation reliability and safety of the motor under a high-temperature working condition; through cooperative operation and closed-loop control of the current regulation and control module, the heat dissipation optimization module and the load response module, according to real-time temperature and load changes, driving current parameters and heat dissipation resource distribution can be dynamically adjusted, and the heat dissipation efficiency is improved. And the output performance and the torque stability of the motor under high-temperature and high-load conditions are ensured.

A transport vehicle transports an article. The transport vehicle includes a traveler including a traveler driver, a controller that controls the traveler, and a power supply unit that receives power from an external source and supplies the power at least to the traveler and the controller. The controller monitors a target voltage applied by the power supply unit to the traveler. The controller performs, during travel of the transport vehicle, a deceleration and stop process of decreasing a travel speed of the transport vehicle to stop the travel of the transport vehicle in response to the target voltage being lower than or equal to a determination threshold. The determination threshold is lower than a voltage of the power supply unit in normal operation and higher than a lower limit voltage. The lower limit voltage is a minimum voltage to cause the traveler to operate.

The invention discloses a magnetic suspension motor high-voltage working condition self-adaptive thermal management system and method, and belongs to the field of magnetic suspension motors, and the management method comprises the steps: obtaining input voltage information and first rotating speed information, determining second rotating speed information according to the voltage information, and obtaining a high-voltage working condition self-adaptive thermal management result according to the fluctuation deviation of the first rotating speed information and the second rotating speed information; and determining target rotating speed information and controlling the operation of the magnetic suspension bearing according to the target rotating speed information to improve the stability. The motor further comprises a self-adaptive heat management module which is connected with the temperature sensor and used for collecting temperature data in real time and dynamically adjusting the heat dissipation intensity and mode. The module predicts the temperature change trend according to the thermal power and the temperature-heat dissipation correlation model, and starts or adjusts heat dissipation measures in advance, so that the temperature is maintained in a safe range. The operation stability of the magnetic suspension bearing is improved, real-time monitoring and dynamic management of the temperature of the motor are achieved, temperature rise is effectively controlled, safety and reliability are enhanced, downtime is shortened, the service life is prolonged, and energy efficiency is improved.

The invention relates to the technical field of motor regulation and control, in particular to a dust collector motor vibration noise reduction method and system, and the method comprises the steps: obtaining a sinusoidal modulation electric signal generated by a sinusoidal pulse width modulation frequency converter, and carrying out the harmonic filtering of the sinusoidal modulation electric signal, and obtaining a higher harmonic; calculating harmonic interference magnetomotive force according to the higher harmonics, multiplying the harmonic interference magnetomotive force by the air gap magnetic conductance to obtain radial magnetic flux density, and calculating radial electromagnetic force waves; performing feature extraction operation on the radial electromagnetic force wave to obtain a feature set, performing principal component analysis operation based on vibration intensity to obtain a radial vibration principal component feature set, and performing noise principal component harmonic extraction operation on the higher harmonic according to the radial vibration principal component feature set to obtain a noise harmonic; and performing noise reduction calculation on the sinusoidal modulation electric signal according to the noise harmonic wave to obtain a noise reduction modulation electric signal, and performing power control on the motor. The vibration noise of the dust collector motor can be reduced.

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.

The invention discloses a multi-target robust model predictive control method for a permanent magnet synchronous motor, which is used for a three-level inverter power supply permanent magnet synchronous motor system with a quadruple BOOST booster circuit, and comprises the following steps: firstly, carrying out system modeling and discretization, then carrying out multi-target cost function design, solving a multi-target optimization problem based on compromise programming and a fuzzy decision method, and finally, carrying out multi-target robust model predictive control on a three-level inverter power supply permanent magnet synchronous motor system with a quadruple BOOST booster circuit. And calculating a delay compensation strategy and a robustness enhancement measure, and finally calculating the output voltage of the quadruple Boost circuit and the output voltage of the inverter. The method improves the DC bus voltage, improves the output power and efficiency, enhances the robustness of the system to parameter change and uncertainty, realizes multi-target optimization control, ensures that the system stably and efficiently operates under complex working conditions, and is suitable for the fields of speed regulation of motors with booster circuits and the like.