3662 results about "Motor speed" patented technology

Disclosed is a motor fuzzy PID parameter tuning method based on an improved whale algorithm. The method comprises: building a brushless direct-current motor speed control system model, and using a fuzzy PID controller to perform motor speed control. A conventional whale algorithm is optimized by using a chaotic convergence factor, a fractional order, and Levy flights, so as to obtain an improved whale algorithm. Secondly, the overshoot of the system is used as a component of an ITAE performance index to obtain an improved ITAE performance index, and the improved ITAE performance index is used as a fitness function for the improved whale algorithm. Finally, the improved whale algorithm is used to optimize input and output membership functions of a fuzzy controller, so as to obtain optimal ΔKp, ΔKi, and ΔKd values, and Kp, Ki, and Kd parameters of a PID controller are tuned to implement motor speed control. The present invention addresses the difficulty of tuning parameters of conventional PID controllers and solves the problem of low precision of motor speed control, has the advantages of high anti-interference capability, little overshoot, and short adjustment time, and improves the dynamic characteristics and robustness of the controllers.

The invention discloses a motor control method and device based on an encoder, a medium and a program product, and relates to the field of motor control, and the method comprises the steps: receiving a position signal and a speed signal outputted by the encoder, and carrying out the filtering processing to obtain an operation state parameter; collecting mechanical vibration and electromagnetic noise generated in the operation process of the motor to obtain acoustic parameters of the motor, and extracting frequency characteristic parameters representing the rotating speed and motion characteristics of the motor; performing data fusion on the operation state parameters and the frequency characteristic parameters according to a preset weight to generate an operation state model; the operation state model is compared with a standard motion trail, and the position deviation value and the speed deviation value of the actual motion trail of the motor are calculated; and calculating a compensation control quantity according to the position deviation value and the speed deviation value, converting the compensation control quantity into a driving signal and outputting the driving signal to a motor driver so as to drive a motor to perform operation adjustment. According to the invention, the control precision of the motor in actual operation can be improved.

The invention provides an unmanned aerial vehicle motor rotating speed control method based on active disturbance rejection. The method comprises the following steps: 1) measuring the rotating speed of a motor by adopting a high-precision rotating speed sensor based on a quantum effect; 2) designing a tracking differentiator TD to smooth an expected rotating speed, and outputting a rotating speed tracking signal and a rotating speed tracking signal change rate; 3) introducing a dynamic weight matrix to form a dynamic weight expansion state observer DWESO, and taking an output state variable estimation value and a total disturbance estimation value as the input of the NLSEF; 4) automatically searching the optimal combination of the gain parameters of the DWESO by adopting an ALA (artificial Louver Mouse Algorithm), so that the optimal state variable estimation value and the optimal total disturbance estimation value are output to the NLSEF; compared with the prior art, the method for controlling the rotating speed of the unmanned aerial vehicle has the advantages that the dynamic response speed, the anti-jamming capability and the parameter adaptability of the system are remarkably improved, and the flight performance and the robustness of the unmanned aerial vehicle are improved.

The invention relates to a split type electro-hydraulic direct-driven non-retractable fin stabilizer hydraulic system which comprises a hydraulic unit and an actuating mechanism which are independently arranged, and the actuating mechanism comprises fin rotating oil cylinders which are symmetrically arranged; a bidirectional hydraulic pump driven by a servo motor forms a closed fin rotating loop; the bidirectional hydraulic pump driven by the servo motor, the hydraulic unit and the actuating mechanism form an electro-hydraulic direct-drive fin stabilizer device; the control loop is composed of a gyroscope, a controller and an executing mechanism, and the gyroscope detects the rolling angular velocity of the ship and generates a fin rotating instruction signal; the controller compares the instruction signal with the fin angle feedback signal and outputs a servo motor rotating speed instruction; the servo driver controls the servo motor to rotate forwards and backwards, the bidirectional hydraulic pump is driven to adjust the displacement of the fin rotating oil cylinder, and therefore the fin is driven to rotate. A valve control or pump control type hydraulic system adopted by a traditional fin stabilizer is replaced, integrated optimization, light weight, high efficiency, high reliability and low noise of the fin stabilizer hydraulic system are achieved, and the occupied space of equipment is reduced.

The invention discloses a motor rotating speed measuring method, system and equipment based on electromagnetic induction, and belongs to the field of motors. According to the embodiment of the invention, firstly, a magnetostriction resonance signal and an electromagnetic induction signal of a motor rotating shaft are obtained; performing frequency domain conversion on the magnetostrictive resonance signal to obtain magnetostrictive resonance frequency domain characteristics; performing frequency domain conversion on the electromagnetic induction signal to obtain electromagnetic induction frequency domain characteristics; frequency domain energy spectrum fusion reconstruction is carried out on the magnetostriction frequency domain characteristics and the electromagnetic induction frequency domain characteristics based on the frequency band matching relation between the magnetostriction frequency domain characteristics and the electromagnetic induction frequency domain characteristics, and a dual-frequency coupling energy spectrum is generated; and finally, determining the rotating speed of the motor rotating shaft according to the frequency position and amplitude distribution of the energy peak in the dual-frequency coupling energy spectrum, thereby improving the measurement precision of the rotating speed of the motor in a complex environment.

The invention relates to the technical field of variable frequency speed regulation, in particular to an automatic water pump control strategy and energy efficiency optimization method and system.The method comprises the following steps of obtaining water pump outlet flow data, calculating flow acceleration, determining the pressure gradient direction, matching the hydraulic power trend, calculating frequency instruction deviation and setting the adjustable range; lagging and current rising mark inertia disturbance, power frequency limitation is set, a compensation value is generated, the frequency rate is dynamically adjusted in combination with all factors, and the frequency conversion adjusting priority is generated. According to the method, through matching of the flow acceleration and the pressure gradient, the sensing capacity for dynamic changes of fluid is improved, frequency adjustment of a frequency converter is optimized in combination with frequency deviation calculation, energy consumption increase caused by lag is reduced, and based on correlation analysis of the motor rotating speed change rate and current fluctuation, inertia disturbance accurate recognition is achieved; the voltage compensation timeliness is improved by combining bus voltage dynamic monitoring and a reverse compression strategy, the frequency of the frequency converter is dynamically adjusted by combining multiple parameters, and the response speed and the energy efficiency are improved.

The invention provides an EMB clamping force estimation method. The method comprises the steps that an EMB clamping process mechanism model is built; the method comprises the following steps: acquiring data of EMB clamping force, a motor rotation angle and a brake disc temperature based on an EMB test bed, and building an EMB clamping force fitting model; acquiring data of motor current, motor voltage, motor rotating speed, motor rotating angle, brake disc temperature, clamping force and driving mileage based on an EMB test bench, and building an EMB clamping force data model; a first clamping force estimation value, a second clamping force estimation value and a third clamping force estimation value are calculated based on real vehicle EMB data, and a clamping force fusion estimation value is calculated in combination with a Kalman filtering algorithm; according to the clamping force estimation error, the weights of the first estimation value, the second estimation value and the third estimation value of the clamping force are adjusted in a self-adaptive mode, and the clamping force estimation precision is optimized. According to the method, the advantages of the mechanism model, the offline data and the online data can be fully combined, the fusion weight is continuously corrected according to the estimation error, and accurate estimation of the clamping force of the EMB without the clamping force sensor is realized.

The invention belongs to the technical field of control valve adjustment, and particularly relates to a military and civilian dual-purpose ship electric control valve actuator which comprises a target analysis module, a dynamic compensation module, a parameter transmission module, a closed loop calibration module and an emergency braking module. Valve displacement increments and initial motor rotating speed parameters are distributed for all the sub-windows, the comprehensive influence of gear return difference, thermal deformation, friction and vibration interference on valve displacement is effectively considered in the execution process of the sub-windows, a mechanism coupling compensation factor with a dynamic learning optimization mechanism is generated, displacement errors are combined to be superposed to the rotating speed parameters of the next window, and a dynamic learning optimization mechanism is generated. According to a double-layer correction framework of child window dynamic compensation and tail end closed-loop calibration, technical closed-loop from local interference suppression to global precision guarantee is achieved, an emergency braking module is additionally arranged to avoid the risk of out-of-control displacement caused by sudden load impact, and efficient and safe operation of a ship is effectively guaranteed.

The invention relates to a self-moving device and a motion control method and system thereof, in particular to a motion control method and system suitable for a self-moving device of a double-wheel independent driving structure, the self-moving device and a medium, and aims to solve the problem that when the self-moving device of the double-wheel independent driving structure runs in a complex environment, the motion of the self-moving device cannot be controlled. The technical problem that a finer control strategy is needed in the face of core challenges such as violent load change, strong motor protection requirement and high motion stability requirement is solved. According to the motion control method of the self-moving equipment, the current rotating speeds and current currents of motors on the two sides are monitored in real time, the rotating speeds of the motors on the two sides are dynamically adjusted, the maximum output power is limited, constant acceleration smooth processing is adopted, the expected rotating speed in unit time is calculated, and it is ensured that the speed change is stable; and dynamically coordinating the rotating speeds of the motors on the two sides by utilizing a speed ratio adjusting strategy to keep a motion posture.

The invention discloses a hybrid power AMT gear shifting control method and system, and relates to the technical field of vehicle gear shifting. The method comprises the steps that whether a transmission meets gear shifting conditions or not is judged according to driving information; determining a target gear value according to the current vehicle state; the power source output torque is gradually reduced according to the target gear value; gear picking operation is carried out through an actuator; adjusting the rotating speed of the motor according to the rotating speed difference of the actuator; controlling the transmission to engage a gear according to the target gear value; and gradually restoring the power source output torque according to the target torque value. According to the technical scheme, high-precision control over the rotating speed of the motor of the commercial vehicle can be achieved, the gear shifting success rate of the hybrid power AMT system can be effectively increased, and high application value is achieved.

The present invention relates to the technical field of automobile sound simulation, and discloses a sound effect control and automobile sound simulation method based on sound simulation, including signal analysis and synthesis, sound location and distribution, audio signal output and optimization, and the automobile sound simulation method includes sound simulation based on the working mode of the vehicle hybrid system, based on the speed of the driving motor and the opening of the accelerator pedal, based on the gearshift operation of the gearbox, and based on the vehicle speed signal. The sound effect control and automobile sound simulation method based on sound simulation, the sound effect control and automobile sound simulation technology usually support personalized customization, and users can choose different sound effects or sound modes according to their preferences and needs to improve the user experience. For automobile sound simulation, the technology can achieve the change of sound effect without physical modification of the car, reducing the modification cost, and also avoiding the vehicle performance degradation or safety hazards caused by modification.

The invention relates to the technical field of metal wire machining, in particular to a metal wire drawing production system which is characterized in that after production order information is uploaded to a central control unit through a man-machine interaction APP, the central control unit commands an intelligent pay-off module to complete wire coil placement, and the APP can be used for personnel to check the system state and remotely access; the intelligent pay-off module ensures that the pay-off tension is stable by means of a tension sensor and a PID algorithm; the wire rod preprocessing module collects images by using a high-definition camera, and defect conditions are determined through preprocessing of the central control unit and analysis of a convolutional neural network; and the intelligent control module dynamically adjusts the rotating speed of the motor by adopting a variable-frequency speed regulation technology and combining various data according to the requirements of a wire drawing process, so that the whole production process is efficient, accurate and stable. Precise placement of the wire coil is achieved through the automatic recognition device and the automatic transmission equipment, the time needed by manual operation is greatly shortened, and the working efficiency of the whole pay-off link is improved.

The invention relates to the technical field of electric driving system energy-saving control, and discloses a multi-motor driving system torque optimal distribution method and system, and the method comprises the steps: building a single power unit power loss model of a multi-motor driving system; constructing a fitting straight line segment; constructing a torque-current mapping relation curve; a train speed prediction model, a multi-motor driving system power unit motor rotating speed prediction model, a multi-motor driving system total torque reference value prediction model and a multi-motor driving system power unit power loss prediction model are constructed; establishing a multi-motor driving system energy efficiency evaluation function, a multi-motor driving system stability evaluation function, a multi-motor driving system total torque following evaluation function and a system optimization objective function; designing a learning rate of a control vector; and updating the control vector according to the learning rate, and obtaining an optimized torque distribution coefficient and an optimized torque reference value distributed by each power unit. Therefore, the torque optimization distribution of the multi-motor driving system is realized, and the energy utilization efficiency of the system is improved.

The invention discloses a shear forklift steering control method and system based on central point dynamic differential, and the method comprises the following steps: S1, sensor module calibration: collecting the angle values of the right limit and the left limit of a shear forklift steering mechanism, calculating the difference value between the right limit and the left limit, converting the difference value into an actual degree, and carrying out the calibration of a sensor module; calibrating a scale factor and a straight-going intermediate value; s2, real-time steering angle calculation: reading a current measured value of an angle sensor, judging whether a left wheel is an inner side wheel or an outer side wheel, and calculating a current steering angle alpha in combination with a scale factor; s3, dynamic differential ratio calculation: based on the steering angle alpha in the step S2, calculating a central point turning radius R through a central point steering geometric model, and deriving an inner and outer wheel differential ratio K; and S4, adjusting and outputting the target rotating speeds of the inner wheel and the outer wheel according to the differential ratio K to realize dynamic differential control. By dynamically adjusting the rotating speed of the motor, the load difference of the motor can be reduced, the service life is prolonged, and the steering stability is improved.

The invention relates to the technical field of hydraulic transmission, and provides a variable-speed variable-displacement electro-hydraulic power source control method and a hydraulic system.The method comprises the specific steps that the system pressure and the system flow at the current moment are obtained; the initial rotating speed of the servo motor at the current moment is detected, and the initial displacement of the two-way variable pump at the current moment is obtained; a genetic algorithm is used for obtaining the optimal displacement of the two-way variable pump and the optimal rotating speed of the servo motor; the servo motor is adjusted according to the optimal rotating speed of the servo motor, so that the two-way variable pump works at the combination point of the optimal displacement and the optimal rotating speed; and during the working period of the two-way variable pump, the steps are cyclically executed to realize real-time regulation and control of the electro-hydraulic power source. According to the method, the efficiency model and the dynamic response model of the electro-hydraulic power source are established, the intelligent optimization algorithm is used for conducting multi-target dynamic optimization on the efficiency and the response time of the electro-hydraulic power source, the rotating speed of the servo motor and the displacement of the two-way variable pump are controlled in a coordinated mode, and the electro-hydraulic power source works in a high-efficiency and high-response area.

The invention discloses a high-speed turntable variable load adaptive control method, which is based on a closed-loop control mode, realizes adaptive regulation and control of a microprocessor on the rotating speed and the position of a servo motor by combining a fuzzy PID (Proportion Integration Differentiation) control algorithm, reduces the regulation response time and errors of a high-speed turntable, and improves the operation stability of a turntable system. The rotation angle of the high-speed rotary table is fed back to a microprocessor by a displacement sensor to form a closed-loop control system, and an improved gravity center Lagrange interpolation-Fourier harmonic synthesis displacement sensor error compensation model is established, so that the high-speed rotary table can still obtain a high-precision displacement measurement result in a variable-load processing working environment; a software operating system is designed to control and realize multi-task operation such as start-stop, initialization, instruction import and the like of the turntable, and the real-time performance and the detectability of the high-speed turntable system are improved. The method can be used for self-adaptive control under the condition of a variable-load high-speed turntable, and has the characteristics of high precision, fast response and good robustness.

The invention discloses cutting equipment for pipeline prefabrication, belongs to the technical field of machining, and is mainly used for solving the problems of insufficient cutting precision and poor machining stability caused by clamping force fluctuation, pipeline ovality abnormity and dynamic path offset in the pipeline cutting process. According to the equipment, high-precision cutting is achieved through cooperative work of the rack, the clamping mechanism, the cutting executing mechanism, the driving motor and the control module, the clamping mechanism is provided with a pressure sensor to monitor fluctuation of clamping force, and the driving motor is a servo motor with an absolute value encoder to precisely control the rotating angle of a pipeline. The cutting executing mechanism feeds back the displacement track of the cutting machine in real time through a displacement sensor. Synchronous control logic is arranged in the control module, when the fluctuation of the clamping force exceeds the limit, the rotating speed of the servo motor is automatically reduced, the cutting machine is paused, meanwhile, a path correction algorithm is configured, and the proportional relation between the axial moving speed and the radial feeding amount of the cutting machine is calculated in real time based on encoder angle data. And the notch precision and the machining efficiency can be obviously improved.

The invention is suitable for the technical field of control systems, and provides a servo motor speed ring self-tuning method and device, and the method comprises the steps: collecting an error value, a steady-state error and steady-state time in the speed adjustment process of a servo motor in real time, and calculating a fluctuation index, thereby achieving the self-tuning of the speed ring of the servo motor. And the adjustment effect of the PID controller parameters can be comprehensively evaluated. When the volatility index is smaller than a first threshold value, a linear function is adopted to adjust the initial PID parameter, a first target control parameter is obtained, and therefore the adjusting performance is optimized; and when the volatility index does not reach the standard, performing adaptive adjustment by using a fuzzy strategy to obtain a second target control parameter. By dynamically adjusting PID parameters, external interference or load change can be effectively handled, the problems of over-adjustment, under-adjustment and the like are reduced, and the stability and response speed of the system are improved. The manual debugging workload is reduced, especially in a complex application scene, the system efficiency and stability are remarkably improved, the debugging cost is reduced, and the deployment efficiency is improved.

The invention discloses a force-position hybrid control method and device for a rope traction parallel robot and a medium, and belongs to the field of rope traction parallel robot control, and the method comprises the steps: 1, building a kinematics and dynamics model of the robot; step 2, dividing hierarchical priorities of contact force tracking, trajectory tracking and rope tension distribution subtasks according to operation task constraints of rich contact; 3, in the contact force tracking subtask, constructing an admittance controller based on a disturbance observer according to the deformation model, and tracking the contact force; 4, in the trajectory tracking subtask, according to a control target in a sliding mode surface form, constructing a sliding mode controller based on a disturbance observer and tracking a trajectory; step 5, constructing a motor speed controller according to the controller output quantity in the step 3 and the step 4 in combination with an artificial potential field-based rope tension distribution algorithm of the rope tension distribution subtask; and step 6, performing robot force-position hybrid control by using a motor speed controller to complete an operation task of rich contact.

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 relates to the technical field of electric scooters, in particular to a vehicle battery energy-saving control system of a high-strength impact-resistant scooter, which comprises an impact-resistant battery bin, a battery energy-saving control system and a battery energy-saving control system, wherein the impact-resistant battery bin comprises a multi-layer composite shell, a vibration sensor and a filling layer; the energy-saving control module comprises an intelligent detection unit, a central controller and a power optimizer; the power optimizer is used for adjusting the PWM duty ratio of the motor driving circuit according to the power mapping table; the energy recovery module is used for receiving brake force, a slope angle, a motor rotating speed and a vehicle mass estimation value, calculating an optimal recovery current through a Kalman filter, and injecting the recovery current into a battery pack by adopting a bidirectional Buck-Boost circuit; and the safety cooperative controller executes a hierarchical protection strategy, and a data bus is connected with each module to realize data interaction. Therefore, the problems that in the prior art, an electric scooter is insufficient in battery endurance, low in energy recovery efficiency, weak in impact resistance, poor in collaboration and the like are solved.

The invention discloses a novel model-free super-spiral sliding mode control method based on a sliding mode disturbance observer, and the method comprises the steps: designing a novel model-free super-spiral sliding mode controller of a rotating speed ring based on the combination of a novel super-local model and a second-order super-spiral law; meanwhile, a sliding mode disturbance observer is designed to estimate uncertain and unknown disturbance parts of system parameters in real time and feed back to a novel model-free super-spiral sliding mode controller of a rotating speed ring, so that the rotating speed of the motor is controlled; the controller introduces a linear system state item and a nonlinear disturbance item according to the novel super-local model, establishes a novel super-local model of the system, combines the novel super-local model of the system with a rotating speed ring state equation of the motor, establishes a novel super-local model of a rotating speed ring, and performs the super-local model of the rotating speed ring; and establishing a novel model-free super-spiral sliding mode control law of the rotating speed ring based on the novel super-local model of the rotating speed ring and an observation result of the sliding mode disturbance observer. The influence of external disturbance on the motor is effectively solved, buffeting is weakened, and effective tracking of the given rotating speed can be achieved.

The invention discloses an electric vehicle abrupt slope slow descent control method and device and a medium, and relates to the technical field of automobiles. The method comprises the steps that if the opening degree of an accelerator pedal and the opening degree of a brake pedal are zero and the pitch angle continuously exceeds a ramp threshold value, a vehicle enters a sliding mode; if the vehicle speed change rate is continuously positive and exceeds a preset slope threshold value, abrupt slope slow descent is triggered; the output torque of the driving motor is cut off, motor reverse dragging braking is started, and a pre-pressurization mechanism of mechanical braking is synchronously triggered; the vehicle speed at the activation moment is set as the initial vehicle speed, the motor rotating speed, the battery temperature and the vehicle pitch angle are collected in real time, and the corrected target vehicle speed is generated; a total recovery torque is calculated based on a difference between the current vehicle speed and the corrected target vehicle speed. According to the method, the vehicle speed can be automatically controlled when the vehicle goes down the long slope, the vehicle is kept sliding without acceleration, the braking thermal failure caused by frequently stepping on the brake pedal is solved, and the driving safety of the vehicle is improved.

The invention discloses a commercial vehicle EBS performance test control system which adopts six wheel speed motors to simulate wheels of a vehicle, the wheel speed motors are in spline connection with a code disc, a rotation speed sensor detects the rotation speed of the wheel speed motors and feeds back the rotation speed to an EBS controller, and the speed detection function of an EBS system is detected by giving a wheel speed motor instruction or replacing the code disc with the incomplete tooth number; the brake pedal motor simulates the braking process of a driver, and the pedal force sensor is connected with the brake pedal, detects the braking force and is connected into the EBS controller. An inner frame motor, a middle frame motor and an outer frame motor of a three-axis rotary table motor are adopted to simulate the transverse acceleration, the longitudinal acceleration and the yaw velocity of the whole vehicle respectively, a vehicle body attitude sensor is installed on the inner frame motor, and signals of the vehicle body attitude sensor are connected into an EBS system. According to the invention, the vehicle operation is dynamically simulated, the EBS system is subjected to closed-loop verification, and the vehicle model can be further checked; the fault diagnosis simulates a hardware circuit fault and verifies a fault processing function of the EBS system.

The invention discloses a hot continuous rolling unit thickness detection and optimization method based on double closed-loop feedback control. In order to improve the problems of thickness control precision, response speed, a multi-rolling-mill cooperative operation mechanism and the like of an existing hot continuous rolling process, the comprehensive regulation and control method combining driving motor double-closed-loop speed regulation control, hydraulic cylinder pressing closed-loop control and thickness delay correction is provided. A multi-rolling-mill interconnection control system is constructed by coupling the rolling mills, the loops, the driving motors and the hydraulic cylinders, and high-precision dynamic adjustment of the tapping thickness is achieved. A double-closed-loop feedback control method is adopted, the rotating speed of a driving motor is adjusted by combining a rotating speed loop and a current loop, rolling force is dynamically adjusted through a hydraulic cylinder, and a thickness delay correction system is introduced to compensate thickness transmission errors between racks. According to the method, the thickness response time and overshoot of the hot rolling mill can be reduced, the thickness control precision and the system stability are improved, and the method has important guiding significance and engineering application value for high-precision hot continuous rolling production.

The invention relates to the technical field of engineering machinery, and particularly discloses an electrically-driven metering pump load-sensitive system, a control method and engineering machinery, the electrically-driven metering pump load-sensitive system comprises a control unit, a driving motor assembly, a metering pump, a pilot hydraulic control unit, a pilot handle assembly, a load-sensitive valve assembly, an actuator assembly, a sensor assembly and a pressure difference control module; the driving motor drives the metering pump to supply oil to the load-sensitive valve assembly so as to drive the actuator assembly to operate; the control unit receives the maximum outlet pressure and the maximum load pressure of the pump collected by the pressure sensor, receives a system target pressure difference signal of the pressure difference control module at the same time, and synchronously controls the rotating speed of the motor and the valve target pressure difference output by the proportional pressure reducing valve. The system aims to solve the problems that a traditional upstream compensation load sensitive system lacks a flow saturation resisting function, and a downstream compensation load sensitive system has extra reversing energy consumption and fixed system pressure difference setting.

The invention relates to an electrostatic vibrating diaphragm automobile audio which is mainly used for an electric vehicle and can compensate vehicle-mounted electromagnetic interference audio and solve the problem of electromagnetic interference of a motor PWM switch and rotating speed harmonics on an audio system. The electrostatic diaphragm automobile sound system comprises an electrostatic diaphragm loudspeaker and an interference feature extraction module, the rotating speed of a motor and the PWM frequency are obtained through a CAN bus, and a dynamic interference feature set is analyzed and extracted through adaptive window length FFT; the EMI quantification module is used for calculating an electromagnetic pollution index at a frequency band of 8kHz-20kHz, and triggering compensation when the electromagnetic pollution index exceeds a threshold value of-40dB; the dynamic notch compensation module is used for generating an inversion signal; according to the double-loop feedback control module, the amplitude is adjusted through PID of an inner loop, and the phase is optimized through gradient descent of an outer loop so as to minimize THD. The method comprises five steps of signal acquisition, feature extraction, interference quantification, dynamic compensation and signal injection. Interference frequency drift can be accurately tracked, a tone quality MOS value is improved after compensation, and an over-compensation risk is avoided.

The invention discloses a molded case circuit breaker, which comprises a shell, and an electric operating mechanism is arranged in the shell. The electric operating mechanism comprises a moving contact action assembly with a rotating block and a shifting rod, a sliding block which is arranged on the shell in a sliding manner and can drive the shifting rod to shift, an operating shaft which can drive the sliding block to slide and is provided with an operating hole site, and a motor speed reduction assembly which can drive the operating shaft to rotate, and the operating shaft is in linkage connection with a shifting shaft block; the sliding block is provided with a matching groove corresponding to the shifting shaft block, the operation shaft rotates to drive the shifting shaft block to shift in the matching groove so as to drive the sliding block to slide, the shell is provided with a cover plate capable of shielding the operation hole position in a sliding mode, and the shell is further provided with a rotating lock and a tripping button located on one side of the rotating lock. By arranging the locking microswitch, the manual microswitch, the first microswitch and the second microswitch, signal feedback of a manual operation state, a rotating lock locking state and a current circuit breaker state can be realized.

The invention relates to the technical field of power systems, in particular to a parameter prediction and control method and system of a sensorless motor. The method comprises the following steps: acquiring a sampling stator current and a sampling stator voltage of a motor and a motor rotating speed observation value obtained through an orthogonal phase-locked loop, and performing coordinate transformation on the sampling stator current to obtain a two-phase static coordinate system current; inputting the sampled stator voltage, the two-phase static coordinate system current and the motor rotating speed observation value into a sliding mode observer to obtain a back electromotive force observation value; inputting the back electromotive force observation value into a pre-constructed cross feedback frequency adaptive filter, eliminating harmonic waves and extracting a fundamental component to obtain a filtered fundamental wave back electromotive force observation value; and normalizing the fundamental wave back electromotive force observation value, and inputting the normalized fundamental wave back electromotive force observation value into an orthogonal phase-locked loop to obtain a motor rotor position prediction value and a rotating speed prediction value. By adopting the cross feedback frequency adaptive filter, the quality of the back electromotive force signal is improved, and the accuracy of rotor position and speed estimation is also remarkably improved.

The invention provides a sueding machine control method and system based on tension self-adaptive adjustment, and relates to the technical field of sueding machine control, and the method comprises the steps: obtaining an actual tension value of a fabric in real time, comparing the actual tension value with a target tension value, obtaining a real-time tension deviation and a tension deviation change rate, and according to the real-time tension deviation and the tension deviation change rate, obtaining a real-time tension value of the fabric; generating a first control signal, collecting real-time rolling diameter signals of an unwinding roller and a winding roller of the sueding machine, generating a second control signal through a feedforward calculation model according to the rolling diameter signals and the current fabric linear speed, synthesizing the first control signal and the second control signal to obtain a total control signal, outputting the total control signal to a driving device, and adjusting the rotating speed of a motor. The technical problems that in the prior art, control over the sueding machine is limited in response speed, a control strategy is difficult to adjust in time, and normal operation and fabric quality of the sueding machine are affected are solved. The technical effects that the tension of the sueding machine is adjusted in a self-adaptive mode, and the operation stability of the sueding machine and the fabric quality are improved are achieved.