1394 results about "Motor torque" patented technology

The invention relates to the technical field of automobile brake control, in particular to a self-adaptive brake kinetic energy recovery control method and system based on multi-sensor fusion. Tire wear and road surface feature data are collected through a multi-source sensing fusion unit, and a tire wear coefficient and a road surface friction coefficient are generated through an intelligent decision calculation unit; the method comprises the following steps of: integrating the nonlinear correlation of the multi-source sensing fusion unit and the self-adaptive control execution unit through a rule and data fusion algorithm, outputting a comprehensive friction coefficient, and dynamically adjusting the braking kinetic energy recovery force and response time by the self-adaptive control execution unit according to the comprehensive friction coefficient. The system comprises a multi-source sensing fusion unit, an intelligent decision calculation unit, the self-adaptive control execution unit and a closed-loop feedback calibration unit. The closed-loop unit corrects data deviation through cross validation of the laser radar and the motor torque inversion model, the problems of poor working condition adaptation and unreliable data are solved, and the kinetic energy recovery efficiency, the braking safety and the driving smoothness are improved.

A concrete mortar mixing and stirring system belongs to the technical field of concrete production equipment. Aiming at the problems that an existing stirring system is difficult to accurately judge the mixing uniformity of concrete mortar and the quality is easily influenced due to excessive stirring or insufficient stirring, the system comprises a stirring tank, a vibration signal acquisition unit, a torque monitoring unit and a control unit, stirring blades in a stirring tank are driven by a motor, a vibration signal acquisition unit captures a tank body vibration signal, a torque monitoring unit detects the torque change of the motor, and a control unit decomposes the tank body vibration signal into a frequency domain signal and extracts a preset aggregate collision vibration frequency band energy value to generate a vibration energy sequence; and analyzing the torque change fluctuation intensity to generate a torque variation coefficient sequence, calculating a correlation coefficient sequence of the two, generating an adaptive shutdown threshold by a sliding time window, and cutting off a motor power supply when the correlation coefficient sequence is continuously lower than the threshold for a preset number of times. The device is mainly used for automatic stirring control of concrete mortar, and precise starting and stopping of the stirring process are achieved.

The invention relates to the technical field of electric vehicles, in particular to an electric vehicle parking motor torque adjusting method. The problems that an existing electric automobile parking system is insufficient in parking force control precision, lagged in response and low in energy consumption efficiency under complex working conditions are solved. According to the method, a multi-dimensional vehicle running state, a driver instruction and environment sensing data are collected in real time, a vehicle-environment coupling dynamic model is established and updated in real time, then an adaptive model predictive control (AMPC) strategy is utilized, the future movement trend of a vehicle is predicted based on the dynamic model and a target parking demand, and the vehicle-environment coupling dynamic model is established and updated in real time. And the optimal torque instruction of the parking motor in the current control period is optimized and calculated, and the parking motor is driven to generate corresponding torque. High precision, high adaptability, high safety and high stability of parking torque adjustment can be achieved, the energy efficiency is effectively improved, the service life of parts is effectively prolonged, and the intelligent level is enhanced.

The invention provides a new energy light truck energy distribution method and system, and the method comprises the steps: obtaining the position and track of a vehicle to obtain the road section data of a current driving road section, carrying out the data preprocessing of the road section data, and carrying out the fusion of the preprocessed data, so as to obtain the current load and driving state of the vehicle; inputting the preprocessed data into an initial energy consumption model, introducing a deep learning algorithm to dynamically adjust model parameters of the initial energy consumption model to obtain an iterated target energy consumption model, and obtaining energy consumption coefficient data according to the target energy consumption model; and a motor torque demand curve is generated in real time according to the current load, the road slope and the predicted endurance mileage, torque distribution data are adjusted in combination with an adaptive algorithm, the adjusted torque distribution data are transmitted into a vehicle power control system to obtain real-time operation data of the vehicle, and then energy distribution is conducted on the new energy light truck. According to the invention, the endurance prediction precision is improved, and the real-time adaptive optimization of torque distribution control is realized.

The invention relates to the technical field of unmanned aerial vehicle control, and particularly provides a variable-load unmanned aerial vehicle control method and device, a medium and equipment, and the method can comprise the steps: carrying out the processing of an initial angular velocity parameter and an attitude angle parameter of an unmanned aerial vehicle through an outer ring observer, and obtaining an attitude angle estimation value and a first disturbance estimation value; determining target angular velocity data based on the attitude angle estimation value and the first disturbance estimation value; processing the system gain value, the angular velocity of the unmanned aerial vehicle and the motor torque by using an inner ring observer to obtain an angular velocity estimation value and a second disturbance estimation value; based on the angular velocity estimation value, the second disturbance estimation value and the system gain value, obtaining a flight control quantity; an unmanned aerial vehicle pulse signal is adjusted through the flight control quantity, and the unmanned aerial vehicle pulse signal is used for controlling the flight attitude of the unmanned aerial vehicle. According to the embodiment of the invention, effective control of the variable-load unmanned aerial vehicle can be realized.

The invention discloses an embedded motor torque ripple real-time compensation system based on deep learning, and relates to the technical field of motor control and artificial intelligence crossing, the system comprises a hardware data acquisition module, a signal feature extraction module, a deep learning compensation model module, an embedded real-time compensation module and a compensation effect verification module; a motor position and a current signal are acquired in real time through the hardware data acquisition module, dynamic analysis and multi-dimensional feature construction are performed on torque ripple related features by combining the signal feature extraction module, and the deep learning compensation model module learns a fluctuation rule in historical data by using a space-time sequence model to generate a high-precision compensation current. The model adapts to an embedded environment through lightweight design, real-time deployment and dynamic optimization of a compensation algorithm are achieved, compared with traditional PID control, the scheme can adapt to changes of motor operation conditions, the influence of torque fluctuation on system stability is reduced, and the smoothness and efficiency of motor operation are improved.

The invention discloses a gear shifting control method and system for an electric vehicle, and the method comprises the steps: determining a gear adjustment type when a gear adjustment request is received in a driving process; according to the driving data and the gear adjustment type of the electric vehicle, the target torque of the motor is determined; determining a torque adjustment gradient according to the driving data of the electric vehicle, the current required torque of the driver, the required torque of the driver at the last moment and the gear adjustment type; and the motor control unit is called to adjust the motor torque of the electric vehicle according to the current torque, the target torque, the torque adjustment gradient and the gear adjustment type of the motor of the electric vehicle, so that gear shifting operation is completed, the impact feeling of the fuel vehicle during gear shifting can be simulated during gear shifting, and therefore the driving experience of a driver is improved.

The invention belongs to the field of automobile electronic control, and provides an automobile part full-angle hovering control method and system and an automobile. The control method comprises the steps that the opening position of an automobile part is obtained, and the automobile part is an automobile door or an engine hood; determining a target motor torque of a support rod internal motor of a support rod group of the automobile part according to the opening position of the automobile part; wherein the supporting rod group comprises more than one supporting rod, and no damper is arranged in the supporting rod; calculating a target torque current of the motor in the stay bar based on the target motor torque; and according to the target torque current, a current loop closed-loop control mode is adopted to control the output torque of a motor in the supporting rod, so that hovering of the automobile part at the opening position of the automobile part is achieved. The invention further discloses an automobile part full-angle hovering control device, an automobile part control system and an automobile. According to the invention, rapid and accurate torque control of the motor in the stay bar is realized, and all-angle hovering of components under electronic control is realized.

The invention provides a vehicle slope sliding dynamic control method and system based on multiple modes. The method comprises the steps that running state parameters of a vehicle are obtained in real time, wherein the running state parameters comprise the actual rotating speed of a motor, the actual torque of the motor, gear information, the opening degree of an accelerator pedal, the opening degree of a brake pedal and vehicle fault information; on the basis of the running state parameters, the ramp sliding state of the vehicle is determined; according to the ramp sliding state, a parking control mode of the vehicle is dynamically selected, and the instantaneous motor actual torque of the vehicle at the corresponding moment is obtained and stored when the parking control mode is switched; and on the basis of the parking control mode, the actual torque of the motor, the vehicle load and operation of a driver, a motor control instruction used for adjusting the target torque of the motor or used for controlling and releasing the parking action is generated, so that anti-slip control in the vehicle starting process is achieved.

The invention discloses a permanent magnet synchronous motor joint simulation method, which comprises the following steps of: firstly, establishing a permanent magnet synchronous motor finite element model in Maxwell, and defining material nonlinear characteristics and motion boundary conditions; a motor drive control circuit is constructed in Simplorer, the finite element model is imported through a Twinbuild tool, and an electromagnetic-circuit joint simulation environment is established; creating a motor multi-body dynamic model and an external load model in Adams, and respectively exporting the motor multi-body dynamic model and the external load model into an FMU format and an Adamssub format; and finally, establishing an electromagnetic-circuit-mechanism joint simulation platform in the Simulink, and executing joint simulation. Compared with traditional joint simulation, according to the method, through electromagnetic-circuit-mechanism three-field real-time interaction, the motor can sense the load sudden change working condition, then the torque and current of the motor are rapidly adjusted through the PI controller, the problems that in engineering practice, the external load of the motor is not real, and the abnormal load is detected are solved, and the reliability of the motor is improved. And the crossing from an ideal load to an actual load is realized.

The invention provides a distributed driving vehicle preset performance fault-tolerant control method and system based on an adaptive neural network observer. The method comprises the following steps: constructing a vehicle dynamics model containing motor faults and unknown disturbance; in order to realize real-time estimation of faults and disturbance and break through the limitation on disturbance derivative boundaries, a self-adaptive neural network observer is designed; aiming at the problem that the control direction is uncertain, an upper-layer controller is designed based on a preset performance control theory, a Nussbaum function and an obstacle Lyapunov function are introduced, it is ensured that system dynamic errors meet preset performance constraints all the time, and accurate tracking control over the transverse force, the longitudinal force and the yawing moment of a vehicle is achieved; in order to improve the system coordination capability under the multi-motor fault working condition, an optimal torque distribution model fusing the motor torque constraint and the tire force limit is constructed, collaborative optimization control of the driving and steering system is realized through a quadratic programming algorithm, and the stability and safety of the whole vehicle in the fault state are improved.

The invention provides an electromagnetic interference motor-driven frequency converter control method and system and a medium, and relates to the field of motor control, and the method comprises the steps: collecting an electromagnetic interference signal in real time during the operation of a motor-driven frequency converter, generating interference spectrum data, carrying out the dynamic switching adjustment of the frequency converter, and generating an anti-interference modulation instruction; reconstructing a pulse waveform according to the anti-interference modulation instruction to carry out harmonic compensation, carrying out feedback verification based on the optimized driving signal, carrying out electromagnetic interference judgment according to a motor torque fluctuation value, and generating a judgment result; and triggering a parameter updating instruction based on the judgment result, and driving a frequency converter to perform adaptive control through the parameter updating instruction to generate a frequency conversion control result. The technical problem that a frequency converter control method in the prior art is limited in resistance to electromagnetic interference and affects the running stability of a motor is solved. The technical effects of improving the electromagnetic interference suppression capability and ensuring the stable and reliable operation of the motor are achieved.

A sensorless method for machine tool chatter detection. A motor torque signal is analyzed in the time domain to determine whether a bit is currently cutting workpiece material. When not cutting material, an air-cut reference signal is stored for later use. When cutting material, the motor torque signal is converted to the frequency domain and filtered in a multi-step process. After removal of the air-cut reference signal via spectral subtraction, and removal of spindle harmonic components, additional filtering is performed to address aliasing and encoder error effects. The aliasing filtering removes artificial peaks in the frequency response spectrum resulting from interaction between sampling frequency and cutting frequency. The encoder error filtering removes frequency response peaks related to encoder design and interaction with motor speed. After filtering, indicator criteria are evaluated to detect chatter, and corrective action is taken when chatter is detected.

The invention relates to the technical field of open-milling granulation production control, and provides an open-milling granulation production process control method and system, and the method comprises the steps: monitoring and recording the flow state parameters of a melt strand at the outlet of a granulator die head in real time; monitoring and recording the driving motor torque and the driving motor rotating speed of an extrusion screw of the granulator in real time, and judging the fluctuation trend of the melt viscosity according to the driving motor torque and the driving motor rotating speed to obtain melt viscosity fluctuation trend information; based on the melt strand flow state parameters and the melt viscosity fluctuation trend information, executing a judgment process of a starting strategy of a feed-forward compensation mechanism to obtain a feed-forward compensation judgment result; according to the feedforward compensation judgment result, the rotating speed of a rotating cutter head of the granulator or the heating power of a die head is adjusted, so that the open milling granulation production process is controlled. The method has the effect of improving the stability of the open milling granulation production process.

The invention discloses a redundant braking control method of an automatic driving vehicle and a storage medium, which are applied to a vehicle control unit. According to the method, when it is detected that an automatic driving module, anti-collision early warning or remote monitoring triggers a braking demand, the target deceleration is calculated in combination with the vehicle speed and the obstacle distance. By collecting the actual acceleration, the parking air chamber air pressure and the motor torque, the total braking force is estimated, the electronic parking braking force is separated out, and then the road adhesion coefficient is calculated. And in the redundant braking mode, according to the target deceleration, the attachment condition and the capacity upper limit of the two systems, performance indexes including deceleration deviation and a parking penalty term are constructed, and the target motor deceleration and the target electronic parking deceleration are obtained through joint distribution. And finally, the target parking deceleration is converted into target air pressure through the deceleration air pressure mapping table containing the online correction amount, the air pressure is adjusted through closed-loop control, and accurate and stable redundant service braking is achieved.

The invention relates to the technical field of torque control, in particular to a motor torque control method, system, equipment and medium, and the method comprises the following steps: obtaining a winding temperature rise and rotating speed signal through a temperature and rotating speed sensor, calculating the resistance and flux linkage offset, and filtering to obtain a torque evaluation parameter; the acceleration and inertia reference are compared to obtain inertia disturbance, a least square method is combined to calculate a compensation coefficient, a current component is corrected to synthesize an expected torque, a torque error is calculated to judge whether the torque reaches the standard or not, and a torque control result is output and optimized. Load changes are quickly responded through filtering and inertia disturbance recognition, differential calculation is conducted on the relation between acceleration and a correction coefficient to act on a current component, torque output is stable, coefficient iterative optimization is promoted through error comparison, fluctuation is reduced, efficiency is improved, and reliable control over the motor under the complex working condition is kept.

The invention discloses a double-electric-drive-axle commercial vehicle driving anti-skid control method, system, equipment and medium, and relates to the field of automobile control, and the method comprises the steps that when a target vehicle is in a sliding state, the initial rolling radius is determined for each driving wheel according to the real-time reference vehicle speed and the real-time angular speed of the driving wheel; determining a reference rolling radius based on the initial rolling radius and the initial rolling radius at the previous moment; determining the real-time rolling radius of the driving wheel according to the reference rolling radius, the load parameter, the real-time motor torque, the maximum value of the motor torque and the real-time transverse acceleration; determining the real-time slip rate of the driving wheel according to the real-time rolling radius, the real-time wheel speed of the driving wheel and the real-time reference vehicle speed; and determining a target torque according to the real-time motor torque, the speed reducer speed ratio, the real-time rolling radius, the gravitational acceleration, the real-time slip rate, the whole vehicle mass, the target slip rate and the driver demand torque, and performing anti-slip control based on the target torque. The rolling radius can be accurately determined, the slip rate accuracy is improved, and precise anti-slip control is achieved.

A sensorless method for machine tool chatter detection. When the machine tool spindle is running, a spindle motor torque signal is analyzed in the time domain to determine whether a bit is currently cutting a workpiece. When not cutting, an air-cut reference signal is stored for later use. When cutting, the spindle motor torque signal, along with positioning servo motor signals, are converted to the frequency domain and filtered. Filtering steps include removal of the air-cut reference signal via spectral subtraction, removal of spindle harmonic components, removal of artificial peaks due to aliasing effects, and removal of artificial peaks due to encoder error effects. After filtering, indicator criteria are evaluated to detect chatter, including a magnitude of the filtered torque signal for servo data and a magnitude ratio of the filtered torque signal to the air-cut reference signal for spindle data. Corrective action is taken when chatter is detected.

The present invention relates to a reconfigurable steering feel design method and control system for steer-by-wire. The method includes: constructing a steering feel feedback model, the steering feel feedback model including an alignment torque module based on rack force observation, an assist torque module, a friction compensation torque module, a damping compensation torque module, an inertia compensation torque module, and a soft stop limiting torque module, and adding outputs of all modules to obtain a total expected steering feel motor torque; inputting signals of a steering wheel angle, speed and torque, an observed rack force and a vehicle speed into the designed steering feel feedback model to obtain the total expected steering feel motor torque, transmitting it to a steering feel motor, and outputting this steering feel feedback torque to a steering wheel through the steering feel motor; each module in the designed steering feel feedback model being provided with adjustable parameters. Compared with the existing technologies, the present invention incorporates the characteristics of reconfigurability, and can adapt to different steering wheel hardware characteristics and steering feel requirements by adjusting relevant parameters.

The invention provides an asymmetric rotor structure for improving the torque density of a motor, a motor and a method, the rotor structure comprises an iron core, the iron core is provided with a shaft hole, a plurality of magnetic steel groups are distributed in the circumferential direction of the shaft hole of the iron core at equal intervals, and each magnetic steel group comprises a plurality of permanent magnet mounting groove structures, an air groove structure and a plurality of permanent magnet structures, each permanent magnet mounting groove structure is correspondingly provided with one permanent magnet structure; any number of permanent magnet mounting groove structures are configured to have a first arrangement direction on the iron core, and the air groove structures are configured to have a second arrangement direction on the iron core; wherein the first layout direction and the second layout direction are asymmetrically arranged in a space coordinate; a magnetic flux path is blocked, and magnetic flux leakage is reduced. The asymmetric design can optimize the magnetic field distribution of the permanent magnet, so that the phase difference between the reluctance torque component and the permanent magnet torque component is greatly reduced, and the effective torque superposition of the reluctance torque component and the permanent magnet torque component under wider working conditions is realized.

A torque ripple reduction method for a synchronous electric motor of a vehicle includes obtaining, by a control system, look-up tables (LUTs) that each include harmonic currents that satisfy a constrained objective function for phase current magnitude for the synchronous electric motor, based on a requested motor torque, determining, by the control system and using the LUTs, a plurality of currents including fundamental direct and quadrature currents and 6th order and 12th order harmonic quadrature currents, determining, by the control system, direct and quadrature voltages for the synchronous electric motor based on the plurality of currents including injection of the 6th and 12th order harmonic quadrature currents, and controlling, by the control system, the synchronous electric motor based on the determined direct and quadrature voltages to at least one of reduce torque ripples and increase efficiency of the synchronous electric motor.

The utility model discloses a double-cylinder EPB (electronic parking brake). The brake comprises a driving mechanism assembly, a shell assembly, a transmission mechanism assembly, a friction plate assembly and a bracket assembly, the driving mechanism assembly comprises a motor and a reduction gear box, and the driving mechanism assembly outputs motor torque through two output ends; the shell assembly serves as an external structure of the brake and accommodates and fixes internal mechanical components. The transmission mechanism assembly comprises two transmission mechanisms which convert motor torque output by the two output ends of the driving mechanism assembly into axial motion to drive a piston to move. The friction plate assemblies comprise an inner friction plate assembly and an outer friction plate assembly which are driven by the piston to clamp the brake disc; the support assembly is connected with the shell assembly through bolts, fixes and supports the brake, and guides and limits path movement of a piston and a friction plate in the braking process.

The present invention relates to the technical field of intelligent control of reluctance motors, and discloses an intelligent control system and method for a switched reluctance motor, comprising an acquisition module for acquiring the inductance, magnetic flux and winding current of a magnetic circuit, a data processing module for processing the acquired data and calculating the rotor angular position and outputting the electromagnetic torque, a torque monitoring unit for monitoring the electromagnetic torque of the switched reluctance motor, a control module for controlling the operation of the motor, a fault monitoring module for monitoring abnormal conditions, and an energy recovery module for recovering energy generated during motor braking. The intelligent control system and method integrate control strategies and algorithms, and can dynamically adjust parameters such as motor torque and angle according to the operating status of the motor, thereby improving the operating efficiency and response speed of the motor.

The invention relates to a DSVM-based SMPMSM driving system simplified two-stage model prediction torque control method, and solves the defect that in the DSVM-based permanent magnet synchronous motor driving system FCS-MPTC technology, it is difficult to realize collaborative optimization control of three control targets including motor torque, stator flux linkage and inverter switching frequency. The method comprises the following steps: generating a first-stage candidate voltage vector set; generating a motor torque and a stator flux linkage global optimal voltage vector; generating a stage II candidate voltage vector set; and generating an optimal voltage vector of the inverter. According to the method, the real-time calculation burden of the algorithm is reduced, and meanwhile, the weight-factor-free model prediction torque multi-target optimization control of the motor torque, the stator flux linkage control performance and the inverter switching frequency is realized.

The invention discloses a vehicle torque control method and device and related equipment. The method comprises the steps that the utilization adhesion coefficient and the slip rate of target wheels of a vehicle in a preset first time period and the feedback torque of the target wheels are obtained, and the target wheels comprise at least one wheel driven by a target motor; the utilization adhesion coefficient and the slip rate of the target wheel are fitted, and the longitudinal rigidity of the vehicle is determined; performing torque operation on the longitudinal stiffness to obtain a feed-forward torque of the target wheel; and determining the sum of the feedforward torque and the feedback torque as a target motor torque, and controlling the target motor to output the target motor torque, the target motor being a motor corresponding to the target wheel.

The invention provides a control system and method for power distribution and power generation control of an extended-range agricultural machine based on intelligent identification of a working road surface and a hybrid tractor. The control system comprises the following steps: identifying a field type by collecting image information of a driving road, calculating required power of a vehicle range extender in a corresponding working scene based on the field type, and controlling a range extender assembly; and adjusting the torque of the driving motor and the driving motor based on the field type, the rotating speed of the driving motor and the vehicle speed. Based on field type recognition and historical working data, accurate distribution of driving force and efficient and stable power generation of the range extender can be achieved, the safety and the service life of a power battery are guaranteed, and the farmland operation efficiency of the tractor is improved.

A method for operating a drive unit of an electric bicycle includes (i) determining a rider torque signal, which is based on a rider torque generated by way of muscle power of a person riding the electric bicycle, (ii) first filtering of the rider torque signal by way of a first low-pass filter, (iii) second filtering of the rider torque signal by way of a second low-pass filter, and (iv) generating, in a controlled manner, a motor torque by way of the drive unit as a function of the rider torque signal filtered by way of the second low-pass filter.

The invention provides a vehicle steering wheel and road wheel steering synchronous self-adaptive control method and system, and relates to the technical field of vehicle control. Comprising the following steps: calculating a first steering torque by adopting a feedforward control mode based on an obtained rotating angle and rotating speed of a vehicle steering wheel; performing steering control on the road wheels according to the first steering torque to obtain actual steering angle data of the road wheels; second steering torque is calculated through a PID control closed loop based on the angle deviation between the rotation angle of the vehicle steering wheel and the actual rotation angle of the road wheel; and carrying out dynamic weighting calculation on the first steering torque and the second steering torque to obtain a synthetic motor torque, and carrying out steering control on the vehicle according to the synthetic motor torque. The steering angle of the steering wheel and the steering angle of the road wheel are controlled to achieve rapid, accurate and stable synchronous steering, and the driving safety and comfort are greatly improved.

A system is provided for controlling torque delivered by an electric motor over a dual inverter. In its primary embodiment, a Digital Differential Co-Processor (DDCP) connects with any automotive grade micro-controller that is principally concerned with controlling motor torque for two motors distributed on an axle.

The invention discloses a roller module capable of electrically adjusting hand feeling and paragraph feeling, which comprises a base and a roller mounted on the base, the roller is of a hollow annular structure and is provided with an inner ring wall, a support and a motor are further arranged on a base body, a sliding cavity is formed in the part, extending into the roller, of the support, a friction block capable of sliding along the sliding cavity is arranged in the sliding cavity, and the friction block is connected with the motor. The output end of the motor drives the friction block to abut against or move away from the inner ring wall through the transmission assembly so as to provide different rolling hand feelings. The friction block is driven by the motor to controllably abut against the inner wall of the roller, so that the damping hand feeling of the roller is adjusted; and meanwhile, in combination with cooperative control of the angle sensor and the motor torque, diversified roller shifting section feelings can be accurately simulated. According to the application, adaptive scene switching can be realized through programmed control, and highly personalized and intelligent interaction experience is provided for the user.