628results about "Current controllers" patented technology

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 provides a cross-coupling cooperative control method for double permanent magnet synchronous motors of an aviation airborne suspension lifting system. The cross-coupling cooperative control method comprises the following steps: acquiring a global instruction and real-time state feedback of the double motors; based on the global instruction and the real-time state feedback, constructing a dynamic topology and dynamically adjusting the weight to obtain the weight of the dynamic topology; generating a collaborative correction based on the weight of the dynamic topology and a consistency protocol; dynamic error balanced distribution under load disturbance is carried out based on the collaborative correction amount; and controlling the double motors based on an error balanced distribution result. According to the method, dynamic weight distribution and dynamic error balanced distribution are combined, multi-source interference working conditions such as mechanical unbalance loading, dynamic coupling and parameter disturbance can be dealt with, synchronous errors and disturbance fluctuation in a dual-motor system can be accurately monitored and coordinated, and high-precision stability of cooperative driving is guaranteed.

A stand-alone motor unit for use with a piece of power equipment includes a housing, an electric motor, a battery pack to provide power to the motor, a battery receptacle arranged on the housing and configured to receive the battery pack, and a control panel arranged on either the housing or the piece of power equipment. The control panel is operable to control operation of the electric motor.

The invention discloses a vehicle-mounted ceiling screen anti-pinch method and device, electronic equipment and a storage medium, and relates to the technical field of vehicles. The method comprises the steps that under the condition that it is determined that the vehicle-mounted ceiling screen is in a starting state, the included angle between the current starting position of the vehicle-mounted ceiling screen and a vehicle roof and the current working current value of a motor used for driving the vehicle-mounted ceiling screen to be started are determined; when it is determined that the degree of the included angle is larger than a first set degree and the current working current value is larger than a first set current threshold value, anti-pinch control operation is conducted on the vehicle-mounted ceiling screen; wherein the first set current threshold value is determined based on a target working current value of the motor after the vehicle-mounted ceiling screen is started for a target set duration. The vehicle-mounted ceiling screen can be accurately and effectively prevented from clamping foreign matters in the starting process, the riding safety of passengers is ensured, and the riding experience of the passengers is improved.

Provided is an electric drum brake system, including: an electric drum brake configured to be driven by an electric motor; a current sensor configured to detect a current input to the electric motor; and a controller configured to, when parking is released, determine a parking release time based on a temperature of the electric drum brake, and when a maintenance time reaches the determined parking release time, end a parking release operation by stopping the electric motor, the maintenance time being a period of time while a state where a motor current detected by the current sensor reaches a target current is maintained.

The invention discloses a model prediction control method of a high-speed permanent magnet synchronous motor and a related device, and relates to the field of control, and the method comprises the steps: building a stator current equation capable of simulating the behavior of the high-speed permanent magnet synchronous motor based on the position change of a rotor in the same control period, a high control input basic voltage value is obtained by fixing motor parameters and combining a total disturbance parameter of a current loop system and a set stator current tracking target at the next moment at the same time; on the basis of the control input basic voltage value, current loop harmonic voltage compensation is carried out through the control input harmonic compensation voltage value to obtain a control input voltage value, and voltage modulation is carried out according to the control input voltage value to control the high-speed permanent magnet synchronous motor. According to the method, when the stator current equation is constructed, rotor position change parameters in the same control period are innovatively introduced, so that the motor behavior simulation precision is remarkably improved; the defect that the switching frequency is not fixed in a traditional finite set model predictive control algorithm is effectively overcome through the voltage modulation technology.

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.

A self-excitation motor disclosed by the present invention comprises a rotor, a first end of the rotor is equipped with a rectification circuit, the rotor comprises a rotor iron core and a plurality of harmonic windings and excitation windings, the rotor iron core is provided with rotor teeth, and each harmonic winding and each excitation winding are respectively wound on the corresponding rotor teeth. Each harmonic winding comprises a first harmonic winding and a second harmonic winding, the winding directions of the first harmonic winding and the second harmonic winding are the same, star connection is adopted, one ends of the first harmonic winding and the second harmonic winding are connected in series in a one-to-one mode, and the other ends of the first harmonic winding and the second harmonic winding are jointly connected to form a star neutral point; the other end of each second harmonic winding is connected with the midpoint of each bridge arm in the rectifying circuit in a one-to-one manner; the winding directions of the excitation windings on every two adjacent rotor teeth are opposite, and the two ends of each excitation winding are electrically connected with the direct current output end of the rectification circuit. This induces and rectifies the current for excitation more efficiently. The invention further provides a motor control strategy based on high-frequency harmonic current phase optimization.

According to the pure hardware PID current control system and method based on the direct current brushless motor provided by the invention, the negative voltage interference generated by electromagnetic induction is directly filtered in the bus current signal acquisition stage through the cooperation of the current sampling module and the bus negative voltage elimination module; the problem of signal distortion caused by negative voltage in a traditional sampling circuit is eliminated, and the current effective value detection precision is improved; the PID control module constructed based on pure hardware calculates a difference value between a target voltage and an actual voltage in real time through an analog circuit, and generates a proportional, integral and differential composite compensation signal, so that a PWM modulation circuit can adjust duty ratio output in real time according to the compensation signal, and it is ensured that a bus current of a motor driver is rapidly converged to a target value; the whole scheme does not need to depend on a microcontroller and a complex software algorithm, closed-loop current control is achieved through discrete devices, and the system cost is reduced.

The invention relates to the technical field of motor control, discloses a direct current brushless motor control method and system based on current prediction, and aims to solve the problems of large torque ripple, low efficiency and poor stability caused by current loop lag in the prior art. The method comprises the following steps: acquiring a motor operation state signal in real time; determining a sector and an electrical angular velocity based on the rotor position and the rotational speed; inputting related parameters into the mixed current prediction model to obtain a three-phase current prediction value of the next period; a prediction error is calculated in combination with a current instruction, and an optimal voltage vector enabling a cost function to be minimum is solved through a model prediction control algorithm; and finally, a space vector pulse width modulation signal is generated to drive an inverter. According to the method, advanced control is realized by fusing a physical model and a data-driven prediction mechanism, the torque ripple is remarkably reduced, and the energy efficiency and robustness are improved.

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.

The invention relates to the field of permanent magnet synchronous motor control, in particular to an RANF adaptive harmonic suppression method based on dustpan line optimization, which comprises the following steps: S1, establishing a d-q axis control model for a permanent magnet synchronous motor, listing voltage, current and electromagnetic torque equations, giving a harmonic current equation, and adopting an ANF adaptive notch extraction algorithm to obtain a harmonic current control model for the permanent magnet synchronous motor; obtaining estimated values of specific-order harmonic amplitude and phase, and generating harmonic compensation quantity from the estimated values by adopting a PI regulator so as to realize a steady-state indifference-free harmonic suppression effect; and S2, in order to solve the problem that the ANF adaptive harmonic suppression algorithm is difficult to follow the d-q axis current rapidly changing along with the direct current amount, an RANF adaptive harmonic suppression algorithm adopting an R regulator is proposed, the ANF following performance is greatly accelerated, and the practicability of the ANF is improved. When the motor load or the rotating speed changes, quick response can be achieved, system instability is avoided, the dynamic stability of the system is remarkably improved, and the application scene of ANF adaptive harmonic suppression in the permanent magnet synchronous motor is widened.

The invention provides a control method of a servo motor and an actuator. According to the control method, firstly, a servo motor is controlled to determine a first mechanical rotation amount according to a first current input logic, then the servo motor is controlled according to a second current input logic, so that a rotor moves towards a target phase searching direction, and a second mechanical rotation amount is determined; and finally, according to the first mechanical rotation amount, the second mechanical rotation amount and the theoretical mechanical rotation amount in the second current input logic, the phase-finding rotation deviation is determined, and the servo motor is controlled according to the phase-finding rotation deviation, so that the situation of galloping or stalling of the actuator caused by phase-finding failure due to hard limiting blocking of the actuator is avoided. Therefore, the control precision of the servo motor is improved, and the safe operation of the actuator is ensured.

The invention discloses a current prediction control method based on a permanent magnet synchronous motor. A control system of the permanent magnet synchronous motor comprises a storage unit in which various parameter tables are preset; the control method comprises the following steps: performing temperature prediction according to current sampling data; dividing a temperature operation interval, judging the temperature operation interval according to the predicted temperature prediction value, and carrying out current amplitude limiting; unifying various temperature limiting amplitudes and voltage limiting amplitudes, establishing constraint conditions of the permanent magnet synchronous motor, and converting equality constraints into a target function through the constraint conditions; eliminating a voltage inequality constraint and a dynamic current inequality constraint in the target function; and finally, calculating to obtain a current reference value at the next moment, and processing the current reference value by the inner loop controller to output a switching signal to the inverter. The control system can adjust constraint conditions and objective functions on line according to actual working conditions such as temperature and motor parameter changes, and robust control over environment disturbance and non-linear influences is achieved.

The invention discloses an improved multi-vector combined model predictive control method and device for a permanent magnet synchronous motor. The method comprises the following steps: acquiring a three-phase current of each sampling period, and converting the three-phase current into a d-axis current and a q-axis current; performing one-beat delay compensation on the current, predicting a reference voltage of a next beat, and judging a sector where the reference voltage is located; selecting a corresponding voltage vector output combination in the reconstructed voltage vector selection table by combining the sector and the previous period zero vector; solving a cost function only containing voltage vectors and action time by using the KKT theorem, and calculating the action time of each voltage vector; and generating a pulse signal according to the action time for driving the output of an inverter of the permanent magnet synchronous motor. According to the method, the advantages of fast dynamic response, easy processing of multiple constraints and the like of model prediction control are maintained, and meanwhile, lower calculation complexity, fixed switching frequency and higher reliability are realized, so that the comprehensive performance of a permanent magnet synchronous motor control system is improved.

A motor current reconstruction method based on inverter-side current sampling using an extended state observer belongs to the field of motor control. For permanent magnet synchronous motor systems with LC filters, it is difficult to directly sample the current input to the motor due to problems such as the current sensor usually being integrated and installed inside the controller and the difficulty in installing the current sensor inside the LC filter. In response to this, the present invention proposes a method for sampling the inverter-side current and reconstructing and feeding back the motor-side current through an extended state observer, which is equivalent to directly sampling the motor-side current. This reconstruction method takes into account both the ease of operation of inverter-side current sampling and the system performance of motor-side current sampling, and does not increase the hardware cost of the control system.

A transport system includes: a plurality of transport path units that apply a driving force to a plurality of moving bodies; a communication master station communicably connected to a transport path communication subordinate station of the transport path unit; a communication subordinate station communicably connected to the communication master station; a position command generator connected to the communication master station; a position generator connected to the communication master station; a position controller connected to the communication subordinate station and allocated to the moving body; and a current command generator to generate a current command value of the transport path unit.

The invention discloses a brushless motor control system and control method, and belongs to the technical field of motor control and driving. Comprising a real-time detection module, a control, regulation and control analysis module and a self-adaptive compensation module, multi-source operation data of the brushless motor are collected in real time, the control, regulation and control analysis module carries out depth correlation analysis, potential characteristics such as parameter sensitivity, observer coupling degree and stability attenuation index are mined, potential influences are quantified through analog simulation, and a comprehensive influence value is obtained. And the self-adaptive compensation module intelligently selects a compensation type according to the numerical value, calculates an accurate compensation data value, and performs dynamic closed-loop correction on controller parameters. According to the method, the problems of insufficient adaptive capacity and compensation lag caused by difficulty in coping with parameter time variation and potential coupling in the prior art are solved, the conversion from passive response to active prevention is realized, and the robustness, the control precision and the long-term operation stability under complex working conditions are improved.

The invention discloses an energy-saving operation control method and system for a permanent magnet direct current pump motor, and relates to the technical field of motor control, and the method comprises the steps: collecting a first drive current signal and a back electromotive force signal of the permanent magnet direct current pump motor; if a periodic peak and an electrical angle concentration phenomenon exist in the first driving current signal, performing quality evaluation on the back electromotive force signal to obtain back electromotive force credibility; if the back electromotive force credibility is greater than a preset credibility threshold value, applying operation parameter disturbance to the permanent magnet direct current pump motor; acquiring a second driving current signal of the permanent magnet direct current pump motor; performing disturbance response feature extraction on the permanent magnet direct current pump motor to obtain disturbance response features; identifying a disturbance source; and adjusting the operation strategy of the permanent magnet direct current pump motor to control the motor to operate. According to the method, the disturbance source can be recognized by combining the operation parameter disturbance and the disturbance response characteristics, the operation strategy is adjusted, motor operation control is achieved, and accuracy and reliability are improved.

The invention relates to the technical field of motor control, and discloses a motor optimization control method and system based on q-axis voltage control, and the method comprises the steps: carrying out the Clark-Park conversion and sliding mode observation of a three-phase current signal and a three-phase voltage signal, and obtaining a d-axis current signal, a q-axis current signal, a d-axis flux linkage component and a q-axis flux linkage component; performing recursive least square identification processing to obtain a real-time salient pole ratio value; reluctance torque angle arc tangent calculation and d-q axis coupling quantity product operation are carried out to obtain reluctance torque coupling disturbance quantity; according to the method, the limitation that in the prior art, work is only carried out near an MTPA curve is broken through, the adverse effect of d-q-axis cross coupling on q-axis voltage control precision is effectively eliminated, and the control precision of the q-axis voltage is improved. And the torque output capability and the dynamic response performance of the motor under various working conditions are improved.

The invention discloses a lumped disturbance parameter observation and permanent magnet synchronous motor control method and system, and the method comprises the steps: collecting the phase current of a motor in each control period, designing a two-degree-of-freedom filter to filter DC bias and high-frequency noise signals, i.e., setting two low-pass filters which are connected in parallel for subtraction, independent suppression of a high-frequency noise signal and direct-current bias is realized by adjusting cut-off frequencies of the two, and decoupling of a filtering effect is realized; then, according to the filtered current signal, a super-spiral sliding-mode observer containing an equivalent feedback gain and an exponential term is constructed to observe a lumped disturbance parameter, the equivalent feedback gain is in an integral form, high-frequency noise can be effectively suppressed, the dynamic convergence process of the observer is smoother due to the additionally designed exponential term, and the lumped disturbance parameter is obtained. And the lumped disturbance parameter observation value is used for model-free current prediction of the motor. According to the invention, direct-current bias and high-frequency noise in the current sampling signal can be effectively filtered out, and the observation precision and control precision of the super-spiral sliding-mode observer are improved.

The invention discloses a model-free predictive control harmonic and torque ripple suppression method for a permanent magnet synchronous motor. The method comprises the following steps: sampling physical information of the permanent magnet synchronous motor; performing Clarke transformation on the obtained three-phase current, and performing Park transformation by applying the sampled rotor position to obtain actual current under the dq axis; according to the obtained dq-axis actual current and the motor winding voltage, updating an ESO-based hyper-local model after forward Euler method discrete transformation; calculating a control voltage by applying a traditional dead-beat current control method through a disturbance update value obtained through calculation; and carrying out inverse Park conversion on the deadbeat control voltage obtained after calculation, then carrying out traditional SVPWM modulation to obtain a three-phase PWM waveform, and inputting the three-phase PWM waveform into a driver to control the permanent magnet synchronous motor. According to the method, current ripples and torque ripples of model-free predictive control of the permanent magnet synchronous motor can be remarkably reduced, high-frequency harmonics in the operation process of the motor can be remarkably reduced, and the calculation burden is reduced.

The invention relates to the technical field of motor driving, and discloses a brushless motor non-inductive FOC driving method and device, and the method comprises the steps: collecting a first three-phase stator current and a bus voltage of a brushless motor, and calculating a rotor position estimation value; performing coordinate transformation on the first three-phase stator current to obtain a first d-axis actual current and a first q-axis actual current, and calculating a first d-axis current error and a first q-axis current error; calculating a d-axis first-order integral value, a d-axis double-integral accumulated value, a q-axis first-order integral value and a q-axis double-integral accumulated value, and constructing a d-axis double-integral sliding mode surface and a q-axis double-integral sliding mode surface; according to the method, a d-axis compensation voltage instruction is generated based on the d-axis double-integral sliding mode surface, a q-axis compensation voltage instruction is generated based on the q-axis double-integral sliding mode surface, the d-axis compensation voltage instruction and the q-axis compensation voltage instruction are applied to the brushless motor, the problem of magnetic field orientation deviation caused by position estimation lag in non-inductive FOC driving is solved, and the output efficiency of the motor is improved.

The invention provides an MRAS permanent magnet synchronous motor parameter online identification method based on BP neural network optimization, and the method comprises the steps: constructing two BP neural network models, carrying out the offline training optimization of the two models, and obtaining an optimal neural network model which can accurately predict the flux linkage of a rotor and the inductance of a stator; based on an MRAS step-by-step identification strategy, two-stage motor parameter step-by-step identification units are built, the two optimal neural network models are embedded into the corresponding motor parameter step-by-step identification units, and based on the problem that the stator resistance identification effect of the BP neural network is poor, the two optimal neural network models are embedded into the corresponding motor parameter step-by-step identification units; according to the invention, the BP neural network and the adaptive rate unit are established in the second MRAS parameter identification unit, and the online dynamic identification of the stator resistance and the stator inductance is realized through the combination of the BP neural network and the adaptive rate unit. According to the method, an off-line training-on-line identification mode is adopted, the complex parameter setting process in a traditional method is avoided, the identification efficiency is remarkably improved, and the identification result is accurate.

An electrically powered aircraft is configured to reboot its motor(s) while in flight when the motor(s) are deenergized and / or stop spinning. A controller may receive one or more measurements associated with the motor, such as phase voltage measurements. The phase voltage measurements may be used to determine a position or angle of the motor, such as the position of the rotor of the motor to the stator of the motor. The phase voltage of the motor arises due to back-EMF from the spinning, but unpowered, motor. The motor position can then be used to by the controller to synchronize an inverter and provide synchronized command signals to the motor to restart the motor. If the motor is not spinning or not spinning fast enough to reliably determine its position, then an open-loop start may be used to spin up the motor prior to measuring the phase voltages for synchronization.

The invention relates to the technical field of household appliances, and discloses a household appliance control method, equipment and a storage medium. The method comprises the following steps: controlling a low-voltage direct-current power supply to start a brushless direct-current motor of the household appliance; detecting the current value of the household appliance in real time; judging whether the current value is greater than a limited overcurrent threshold value or not; and when the current value is greater than the over-current threshold value, executing inching control in a set period, so that the running household appliance normally works until the set period ends. In the embodiment of the invention, the situation that the peak current of the household appliance exceeds the overcurrent threshold value in the starting process due to the voltage problem of the low-voltage direct-current power supply can be prevented, and the problem that the working current is too large when the power of a wireless household appliance reaches the original power of a wired product is solved; therefore, the brushless direct current motor is prevented from being stuck due to overlarge current.

The invention discloses an efficient brushless motor cogging tension compensation method, which comprises the following steps of S1, performing compensation initialization on a motor, and setting a target electrical angular velocity of the motor; s2, recording initial position information of the motor during rotation through an encoder for performing compensation process state judgment; s3, a PID controller is used for calculating a target voltage value needed for enabling the motor to rotate according to the target electrical angular speed, encoder data is used as an index, and the motor voltage needed for compensating the cogging tension in the lowest operation state of the motor is recorded and stored; according to the method, external equipment is not needed, data are obtained completely by means of a control system and an internal sensor of the motor, such as an encoder of the motor, and compensation is achieved through an optimized algorithm and control logic through a tooth groove tension calibration method. The whole compensation process can be completed in the motor control system, and expensive and complex external equipment does not need to be additionally added.

The invention relates to the technical field of electro-hydrostatic actuators, and discloses an EHA driving and control integrated device based on a three-in-one integrated framework, which comprises a power conversion main loop part, a control auxiliary part and a motor M which are connected with one another, the power conversion main loop part comprises a soft start + capacitor, a SiC power component and a common mode inductor, the soft start + capacitor, the SiC power component and the common mode inductor are sequentially connected and are all connected with the control auxiliary part, and the common mode inductor is connected with the motor M; the control auxiliary part comprises an upper computer, an auxiliary power supply, an EHA controller and an actuator; the EHA controller is respectively connected with the upper computer, the auxiliary power supply, a soft start + capacitor, a SiC power assembly, the actuator and a motor M; according to the invention, the motor driving module, the EHA controller and the state monitoring module are integrated in a single shell, precise regulation and control from outside to inside are realized by adopting a three-closed-loop control architecture, the response delay of the system is reduced, and the advantages of compactness, high power density and quick response brought by integration, standardization and efficient heat dissipation design are highlighted.

A transfer system includes a drive unit that supplies drive currents to coils disposed along a transfer path, a thrust command generation unit that generates a thrust command that is the command value of a thrust to be produced by a mover, based on a motion target value that is a time-series motion target value, and a current command generation unit that generates, as current commands, current target values that are the target values of the drive currents to be provided to coils so that the thrust produced by the mover follows the thrust command. The current command generation unit generates the current target values to be provided to coils, using part of an actual thrust characteristic determined by the characteristics of the plurality of coils and the mover, so as to reduce the number of the coils through which the drive currents flow.

The invention discloses a torque ripple suppression method for a permanent magnet synchronous motor under a limited voltage, and belongs to the technical field of power generation, power transformation or power distribution. The method comprises the following steps: acquiring torque data changing along with a rotor position under different excitation currents, and establishing a torque three-dimensional look-up table model of the torque about a shaft current and the rotor position; respectively establishing optimization targets for a low-rotating-speed working condition and a high-rotating-speed working condition, and establishing a stator current two-dimensional table look-up model under the low-rotating-speed working condition and a stator current three-dimensional table look-up model under the high-rotating-speed working condition in combination with the torque three-dimensional table look-up model; an optimized stator current algorithm model is established according to the stator current look-up table model, the stator current two-dimensional look-up table model or the stator current three-dimensional look-up table model is switched according to the criterion of direct current voltage out-of-limit, and the query value of the optimized stator current is used as a stator current reference value for vector control of the permanent magnet synchronous motor. While low-speed copper loss reduction and high-speed speed regulation range expansion are taken into consideration, overall torque harmonic suppression under a voltage limited working condition is realized.