1725 results about "Error signal" patented technology

The invention provides an automatic energy-saving control method and device for a ring cooling fan based on load feedback, relates to the field of ring cooling fans, and solves the technical problem of delay of regulation and control in an energy-saving working state. The method comprises the steps that working condition data are input into a preset powder box model, and a feed-forward air volume instruction is obtained through calculation; and inputting the working condition data into a state observer to obtain an optimal estimated temperature value. And the deviation between the optimal estimated temperature value and a preset temperature set value is calculated, and a feedback air volume compensation instruction is obtained through calculation of a feedback controller according to the deviation. And fusing the feed-forward air volume instruction and the feedback air volume compensation instruction to obtain a final air volume control instruction, and issuing the final air volume control instruction to a fan frequency converter for execution. And continuously monitoring the numerical value and the change trend of the feedback air volume compensation instruction, taking the feedback air volume compensation instruction as a prediction error signal of the powder box model, and adaptively adjusting key thermal parameters in the powder box model. The method is used in the control process of the ring cooling fan.

The invention discloses a real-time monitoring and feedback control system for enamel electrostatic powder coating, and relates to the technical field of industrial enamel coating. The system comprises a data acquisition and monitoring module, a feedback control decision module, an execution mechanism control module, a spraying path planning and adjusting module, a parameter optimization and adaptive adjustment module and a multi-target cooperative adjustment strategy module. The system builds a standardized state vector and recognizes abnormity by collecting spraying enamel electrostatic powder state parameters, deposition error signals and environment interference data, and closed-loop control and dynamic adjustment of spray gun electrode voltage, powder supply amount and spray gun path parameters are achieved. Intelligent algorithms such as particle swarm optimization are introduced to optimize a controller and process parameters, the coating uniformity and the deposition efficiency are automatically balanced in combination with a multi-target collaborative strategy, and stable spraying quality is achieved under complex working conditions. The method has the advantages of self-learning, self-adaption and expandability, and the intelligent level and the production performance of the enamel electrostatic powder spraying process are remarkably improved.

An adaptive variable step-size LMS filter based on a hyperbolic tangent function and its filtering method and computer equipment belong to the field of filter technology, and solve the problem that the LMS algorithm improved based on a nonlinear function requires too many manual adjustments of parameters and that the convergence speed and convergence accuracy of the traditional LMS algorithm cannot be satisfied simultaneously. The method of the present invention includes: determining the filter tap length and the number of iterations; initializing the filter parameters; obtaining the filter input signal vector; determining the instantaneous expected signal of the filter; obtaining the instantaneous output signal; obtaining the instantaneous error signal of the filter and the accumulated amount of the error signal based on the instantaneous output signal; obtaining the instantaneous step size using a step-size update formula based on a hyperbolic tangent function; and continuously iterating the filter tap weight coefficient vector to construct an LMS filter using the filter tap weight coefficient vector obtained after the number of iterations. The present invention is suitable for improving the performance of the LMS filter, and the filter of the present invention can be widely used in various signal processing fields.

An underwater acoustic sensor network node positioning error correction method combined with acoustic velocity inversion, which method relates to the technical field of acoustic velocity inversion. The method comprises: deploying an acoustic source point and underwater acoustic sensor nodes which are at fixed positions, the underwater acoustic sensor nodes collecting acoustic velocity data sent by means of the acoustic source point, and by means of acoustic velocity data at different underwater acoustic sensor nodes, using an acoustic velocity field inversion algorithm to construct an acoustic velocity field model; collecting real-time acoustic velocity data at the different underwater acoustic sensor nodes, and obtaining acoustic velocity characteristic information at the different underwater acoustic sensor nodes and water characteristic information at the different underwater acoustic sensor nodes; performing comprehensive analysis on the acoustic velocity characteristic information and the water characteristic information, and evaluating the positioning accuracy of the acoustic velocity field model in respect of the underwater acoustic sensor nodes; and comparing quantized positioning accuracy results for the underwater acoustic sensor nodes with a preset threshold, and when there is a relatively large error in the positioning accuracy, generating an error signal. The method is conducive to improving the precision of underwater acoustic wave propagation and the accuracy of underwater acoustic sensor network node positioning, and evaluating the positioning accuracy of an acoustic velocity field model in respect of underwater acoustic sensor nodes.

The invention relates to an intelligent customer service self-learning method and system, and the method comprises the steps: collecting the interaction data of a user and an intelligent customer service, and forming a multi-dimensional data set; based on a PID (Proportion Integration Differentiation) controller, processing the performance indexes in the multi-dimensional data set, calculating a current error signal, and generating a corresponding control instruction according to the current error signal so as to adjust the response behavior of the intelligent customer service system in real time; evaluating the system performance data adjusted by the control instruction to obtain evaluation feedback; and according to the evaluation feedback, dynamically adjusting the parameters of the PID controller through a self-adaptive control strategy, and feeding back the adjusted parameters to the PID controller in the step S2. According to the invention, by introducing a closed-loop feedback mechanism based on the PID controller and a parameter adaptive optimization strategy, real-time regulation and control of the response behavior of the intelligent customer service system are realized, and the stability, the response speed and the user satisfaction of the system are remarkably improved.

The invention discloses a grid-connected inverter control method based on second-order linear active disturbance rejection, and particularly relates to the field of grid-connected inverter control. Voltage and frequency error signals between the output side of the inverter and the power grid are obtained, a pre-synchronization control model is constructed, and voltage amplitude and frequency synchronization is achieved; a second-order linear active-disturbance-rejection controller is introduced in the frequency synchronization control process, an extended state observer is adopted to estimate the output frequency, the frequency change rate and a disturbance term, and a state error feedback control law is combined to generate a frequency regulation control quantity, so that accurate frequency control is realized; after grid connection, a dual-channel LADRC power regulation controller is constructed, and decoupling tracking control is carried out on active power and reactive power; meanwhile, on the basis of fast Fourier transform processing as a stable grid-connected state criterion, the method has the advantages of being high in control precision, high in anti-interference capability, good in current waveform quality, high in adaptability and the like, and is suitable for various grid-connected application scenes.

The invention relates to the technical field of wireless communication, and discloses a communication equipment command and dispatch system based on artificial intelligence, the system maps the state of communication equipment into a standardized carrier phase disturbance mode, and after the disturbance mode is adaptively adjusted in combination with channel noise perception and conflict arbitration logic, the communication equipment is commanded and dispatched. Controlling the radio frequency front end to carry out injection; the adjacent communication equipment directly detects the disturbance mode to trigger the cooperative scheduling action by monitoring the physical error signal of the carrier synchronization loop of the adjacent communication equipment, and the implicit cooperative mode based on the physical layer beacon is constructed, so that the complex high-level signaling interaction required by the traditional scheduling is avoided, and the scheduling efficiency is improved. According to the method, the millisecond level, determined by a software protocol, of the collaborative response time between the devices is substituted into the microsecond level determined by the hardware physical layer response entscheid, the system can still maintain reliable transmission of scheduling instructions when facing high-density concurrent conflicts and strong channel noise, and a technical implementation path is provided for ultra-low-delay and high-reliability communication.

The invention relates to the technical field of adaptive filters, and discloses a wide linear adaptive filter, which comprises the following steps of: performing tensor integral solution on a system weight vector at the moment of the wide linear adaptive filter to obtain two adaptive weight vectors; constructing an input matrix based on the sampling value of the input signal, and calculating an estimation signal of the moment based on the product of the input matrix of the moment and the two adaptive weight vectors; and calculating the difference value between the expected signal and the estimation signal at the moment, obtaining an estimation error signal, and updating the gain vector at the obtaining moment and the estimation error signal by using a minimum error mode criterion, updating the two adaptive weight vectors at the obtaining moment, and reconstructing the system weight vector at the moment of the wide linear adaptive filter. According to the invention, the recursive adaptive filtering algorithm resistant to impulse noise interference is realized with low calculation complexity by using weight decomposition and selection of a robust cost function.

The invention provides a vibration active control method based on a secondary channel online identification FxLMS algorithm, a vibration active control system comprises a sensor, a vibration signal conditioner, an actuator, a piezoelectric power amplifier, a real-time control simulation system and a computer, and a built SPMFxLMS algorithm physical model is embedded in a computer controller. The SPMFxLMS algorithm physical model comprises a vibration response error signal calculation module, a control channel adaptive filter, an identification channel adaptive filter and an unknown secondary channel model, and the unknown secondary channel model is constructed according to the identification channel adaptive filter and updated in real time. The algorithm physical model constructed by the invention adopts an improved power scheduling strategy and an identification adaptive filter to update and calculate the vibration response time domain data of the controlled object, so that the obtained control voltage signal is reliable, the residual vibration quantity caused by identification noise is avoided, the vibration suppression effect is excellent, and the method has excellent noise immunity and applicability.

The invention provides an aluminum material shearing machine pressure self-adjusting feeding system based on synchronous rollers, relates to the technical field of aluminum material shearing machines, and adopts three synchronous rollers to be mounted in a mounting groove in the surface of a turntable through a movable block, a pneumatic telescopic rod and a pressure sensor in a combined manner to form multi-point support and tension control on an aluminum material. The console collects an extrusion force signal output by the pressure sensor in real time, calculates an actual pressure value in the horizontal direction through a pressure decomposition algorithm in combination with a turntable angle output by the angle sensor, compares the actual pressure value with a preset tension threshold value to generate an error signal, and drives the pneumatic telescopic rod to dynamically adjust the position of the synchronous roller; and when the error exceeds a set range, the servo motor can be controlled to adjust the angle of the turntable, and the wrapping angle of the synchronous roller is changed to realize tension compensation. The conveying tension of the aluminum material under the complex working condition is kept stable, the conditions of loosening, wrinkling, deviation and too tight snapping are avoided, and therefore the stability of the aluminum material in the conveying process and the follow-up shearing precision are improved.

The invention relates to the technical field of noise reduction seats, in particular to a subway cab active noise reduction system and method based on a multi-channel feedback algorithm. The device comprises a headrest shell, the headrest shell is installed at the top of a seat of a metro cab through a headrest support, a loudspeaker, an error sensor and a master controller are arranged in the headrest shell, and the headrest shell is sequentially provided with a front shell, a rear shell and a long-strip-shaped check block; the headrest supports are correspondingly installed in the long-strip-shaped check blocks on the two sides of the headrest shell respectively and move up and down along the long-strip-shaped check blocks, and the height of the headrest shell is adjusted. The loudspeakers are tightly attached to the ears of a driver at certain intervals; the error sensor forms a rhombic array covering a vertical range of 10cm; and the main controller is fixed on the front shell through the notch of the rear shell. According to the invention, the parameters of the main acquisition filter and the auxiliary acquisition filter of the main controller are adjusted according to the error signal to continuously adapt to the complex and changeable noise environment in the subway cab, so that stable and efficient active noise reduction is realized.

A row driver assembly includes a row driver unit. The row driver unit includes a buffer circuit that drives a control signal to a pixel circuit. The buffer circuit is electrically connected to a high buffer supply voltage and to a low buffer supply voltage. A voltage converter circuit supplies the low buffer supply voltage to the buffer circuit. An error detection circuit outputs an active error signal when the low buffer supply voltage is outside a target voltage window.

A control device for a switching voltage regulator includes: a first detector of a first measurement signal indicative of a current flowing in a first side of the regulator, and providing a first comparison signal as a function of a first threshold; a second detector of a second measurement signal indicative of a current flowing in a second side of the regulator, and providing a second comparison signal as a function of a second threshold; a driving-signal generation circuit which generates a switching control signal from the first comparison signal to drive the switching circuit; a calibration circuit which receives an alert signal indicative of the first threshold, compares the alert signal and the second comparison signal, and provides a calibration signal in response; and a feedback circuit which provides a control signal as a function of an error signal and of the calibration signal.

The invention discloses an LDO (Low Dropout Regulator) linear voltage stabilizing circuit, and relates to the technical field of LDO linear voltage stabilization, and the LDO linear voltage stabilizing circuit comprises a comparison output module which is used for comparing a received reference voltage with a feedback voltage so as to generate and output an error signal; the buffer driving module receives the error signal and carries out amplification and buffer processing so as to generate and output a driving signal. The first compensation module generates a first compensation signal according to the load current and the sampling current so as to dynamically adjust the amplitude and / or phase of the driving signal; the power switch module controls the on-off of a switch according to the received driving signal, and further adjusts the magnitude of voltage output to a load; the feedback module detects the voltage of the load and outputs the voltage to the comparison output module. Therefore, the first compensation module generates the first compensation signal according to the dynamic change of the feedback load current and the load capacitance, so as to dynamically adjust the amplitude and / or phase of the driving signal output to the power switch module, and ensure the stability of a circuit loop.

The invention discloses a laser frequency stabilization system based on Faraday anomalous dispersion atomic filtering, which is used for carrying out frequency stabilization on phase modulation multi-sideband laser, and comprises a frequency doubling laser unit which is configured to comprise a fundamental frequency seed light source, an electro-optical modulator, a fundamental frequency amplifier and a frequency doubling crystal; the light splitting module unit is configured to split the frequency doubling light into a main output light path and a monitoring light path; the atomic optical rotation filter is located on the monitoring light path and is configured to maintain the purity of the frequency-stabilized laser spectrum through purification treatment under the control of the axial magnetic field and the temperature; the frequency stabilization unit is configured to be a frequency stabilization light path and a servo system, and the frequency stabilization light path is used for obtaining laser frequency information and generating an error signal; the servo system is used for controlling the frequency of the fundamental frequency seed light source according to the error signal feedback. According to the laser frequency stabilization system provided by the invention, the spectrum purification and frequency stabilization precision can be improved, so that high-frequency stability locking is realized.

The invention relates to the technical field of unmanned aerial vehicle control, in particular to an unmanned aerial vehicle accurate attitude control method fusing multiple sensors and a flight controller thereof. The method comprises the following steps: acquiring the position and attribute characteristic data of an unmanned aerial vehicle through multiple sensors; determining the offset degree of the statistical period and the offset direction of the unmanned aerial vehicle according to the position difference between the unmanned aerial vehicle position and the planned route in the previous statistical period, the unmanned aerial vehicle direction and the planned route angle; attitude angles are obtained through attitude calculation, the attitude angles form a fluctuation curve, the fluctuation degree is analyzed, and the attitude stability degree of the unmanned aerial vehicle is obtained; the deviation of the unmanned aerial vehicle relative to the initial position is obtained according to the fluctuation curve slope of the yaw angle; comparing the direction with the offset direction to determine a correction angle; and calculating a three-axis error signal through the correction angle, and inputting the three-axis error signal into a PID (Proportion Integration Differentiation) controller for control. A more accurate attitude angle is obtained, so that the control precision is improved.

A digital controller for a switching converter configured to receive an input voltage and to generate an output voltage, the switching converter comprising one or more power switches and an energy storage element, the digital controller comprising a ripple cancellation signal generator configured to generate a ripple cancellation signal, the digital controller being configured to receive a digitized current signal, the digitized current signal being a digital representation of a current flow through the energy storage element, generate a filtered digital current error signal using the digitized current signal and the ripple cancellation signal, the ripple cancellation signal being arranged to reduce ripple from the digitized current signal in the generation of the filtered digital current error signal, and control the switching converter, the control of the switching converter being dependent on the filtered digital current error signal, wherein the ripple cancellation signal, within each signal period, comprises a rising slope comprising a first non-linear portion, and / or a falling slope comprising a second non-linear portion.

The invention discloses a finite time position tracking and synchronous control method and device and a medium, and belongs to the technical field of dual-motor drive servo system control. The method comprises the following steps: constructing a dynamic model of the dual-motor-driven servo system; position tracking errors, speed synchronization errors and acceleration synchronization errors are defined, speed and acceleration states serve as cross feedback variables to be input into the dynamic model, and error signals are generated; introducing a filter and a compensation item through a preset dynamic surface control algorithm to generate a virtual control signal; constructing a finite time adaptive controller based on the error signal and the virtual control signal, and generating a motor control input signal; and estimating and compensating parameter uncertainty and nonlinear gap disturbance of the dual-motor-driven servo system in real time so as to update parameters of the adaptive controller. By means of the method, the technical effects of high-precision position tracking, dynamic synchronization and high-robustness control can be achieved in the dual-motor drive servo system.

Engine order cancellation (EOC) systems generate feedforward noise signals based on engine or other rotating shaft RPM and use those signals and an adaptively configured W filter to reduce SPL in the vehicle cabin by emitting anti-noise via speakers. An EOC system can include a signal analysis controller for detecting non-stationary events such as speech based on parameters sampled from a current frame of an error signal output from microphones positioned at various locations of a vehicle passenger cabin. Upon detection, the signal analysis controller can mitigate the effects of the non-stationary event to prevent the EOC system from increasing noise or causing a post-echo in the passenger cabin that sounds like speech. For example, if speech is detected in a frame, adaptation can be frozen during the frame. Alternatively, the signal analysis controller can adaptively subtract a speech signal from the error microphone signal.

The invention belongs to the technical field of mechanical arm control, relates to a bionic mechanical arm elbow joint adjusting angular velocity control method, and solves the problem that an existing method is difficult to meet the collaborative requirements of smooth starting, smooth transition and quick response in bionic actions. Acquiring starting and target positions to generate a motion trail; deducing an expected angle sequence based on forward and reverse kinematics, calculating a target angular velocity, and collecting current angle and angular velocity information in real time; an angle error signal is constructed, an angular velocity control instruction is generated by using a position type PID controller, and PID parameters are dynamically set through an improved algorithm based on state optimization; and a control instruction is input into the elbow joint driving unit, and dynamic adjustment and closed-loop control of the angular speed are achieved. The effect of the method is verified through experiments, and the experiments prove that the precision, robustness and dynamic response capability of angular velocity control of the bionic mechanical arm can be remarkably improved through the method.

The present invention relates to a circular profile error separation method based on the optimization of the indexing angle by time-frequency domain transformation, belonging to the technical field of ultra-precision geometric quantity measurement. The method includes the following steps: applying a single indexing to cause a certain time delay of the profile error signal of the measured part in the time domain, and using the additional information obtained by this indexing to separate the spindle rotation error and the profile error of the measured part. The present invention establishes the relationship between the separation accuracy and the indexing angle error through time-frequency domain transformation. Thus, parameter optimization is carried out according to the requirements of error separation, realizing the roundness error separation that takes into account both the error separation accuracy and the harmonic range that can be accurately separated, so as to obtain more comprehensive, real and accurate circular profile information, providing an accurate theoretical basis for the metrology institutions and key laboratories to implement high-precision measurement of the circular cross-section of rotary parts.

A DC / DC converter includes a converter stage to receive an input voltage and to provide an output voltage from the input voltage in accordance with a modulated drive signal. The converter stage further provides a feedback voltage representing the output voltage. A controller circuit includes an error amplifier to receive the feedback voltage and a reference voltage and to provide an error signal based on the feedback voltage and the reference voltage. A PWM modulator receives a clock signal and the error signal and generates a modulated signal based on the clock signal and the error signal, and a logic circuit receives the modulated signal and generates the drive signal for the converter stage based on the modulated signal so that the drive signal has the same duty cycle as the modulated signal, when the duty cycle of the modulated signal is not smaller than a minimum duty cycle value.

The invention discloses a wide-dynamic-range diamond NV color center magnetic sensing method and system, and the method comprises the steps: (1) calibrating the initial resonant frequency and magnetic sensing coefficient of a diamond NV color center in an initial magnetic field environment; (2) in a to-be-measured magnetic field environment, a microwave generator applies frequency-modulated microwaves to the diamond NV color center with the current resonant frequency as the center frequency; demodulating the fluorescence signal in real time by using a phase-locked detection technology to obtain an error signal; calculating the detuning amount of the center frequency in real time according to the error signal and the magnetic sensing coefficient, and further calculating the variable quantity of the magnetic field intensity; meanwhile, the detuning amount is fed back to a microwave generator to track the resonance frequency of the diamond NV color center; and (3) continuously and repeatedly executing the step (2) to realize wide-dynamic-range magnetic field measurement. The method has the advantages of wide dynamic range, high detection capability on strong and weak field mixed signals in a complex application scene and the like while giving consideration to the magnetic sensing sensitivity.

The invention discloses a fault detection method for a ship power condenser system based on multi-scale feature fusion, relates to the fault detection method for the ship power condenser system based on the multi-scale feature fusion, and belongs to the field of fault diagnosis and safety monitoring of ship power systems. The objective of the invention is to solve the problems of insufficient detection precision and high false alarm rate of a traditional fault diagnosis method. The method comprises the following steps: step 1, acquiring input and output information of a condenser system; 2, constructing a multi-scale feature extraction model; 3, obtaining a trained multi-scale feature extraction model and parameters; 4, inputting online data of the condenser system into the trained multi-scale feature extraction model, and outputting predicted values of the liquid level and the vacuum degree of the condenser by the trained multi-scale feature extraction model; the residual generator obtains an online prediction error signal based on the prediction value; and step 5, performing fault diagnosis based on the online prediction error.

The invention relates to the technical field of fuel gas ultrasonic metering, and discloses a self-adaptive filtering method based on ultrasonic metering and ultrasonic metering equipment, and the self-adaptive filtering method comprises the steps: delaying an uplink echo signal for preset time to generate an uplink echo reference signal, and delaying a downlink echo signal for preset time to generate a downlink echo reference signal; respectively inputting the uplink echo signal and the downlink echo signal into a self-adaptive filter for filtering, outputting an uplink echo output signal and a downlink echo output signal, and performing iterative adjustment on a weight coefficient of the self-adaptive filter by using a variable step size, the minimum mean square value of the uplink echo error signal and the minimum mean square value of the downlink echo error signal meet the preset requirements. The self-adaptive model based on correlation is used for echo signal processing during ultrasonic metering instantaneous time difference acquisition, and the problem that interference is within a frequency sweeping range is solved.

The invention relates to an iterative learning control method for a non-repetitive time-varying system average operator, and the method comprises the steps: constructing a discrete dynamic model which allows system parameters to change in a non-repetitive manner along with the time and the number of iterations, and generating an expected trajectory and a tracking error of dynamic truncation; performing dynamic truncation processing on the randomly changed track length through random variables of Bernoulli distribution to generate an optimization correction error signal; constructing a variable track length average operator based on weighted average and correction error signals of historical control input, designing an iterative learning control law, and verifying the convergence of the iterative learning control law; and finally, the tracking precision and robust stability of the system under the variable trajectory length and variable initial state are verified through simulation. The method breaks through the limitation of traditional iterative learning control on hypotheses such as a fixed system model and a fixed test length, solves the problem of tracking failure of a non-repetitive time-varying system caused by parameter drift and trajectory abrupt change, does not need to depend on an accurate model or a large amount of data training, and has algorithm conciseness, real-time performance and interpretability.

The invention discloses a charge control method and circuit applied to a resonant conversion circuit, and electronic equipment. The charge control method comprises the following steps: acquiring an input voltage and an output voltage of the resonant conversion circuit; an adjustment output signal is obtained by using an error signal between the output voltage and the benchmark reference voltage; acquiring the amplitude change rate of the input voltage; obtaining a slope compensation slope by using the amplitude change rate; performing slope compensation on the adjustment output signal by adopting the slope compensation slope to obtain a feedback adjustment signal; generating a driving control signal by using the feedback regulation signal; and the driving control signal is sent to the resonant conversion circuit to adjust the on-off state of the resonant conversion circuit so as to adjust the output voltage. Through the above mode, the charge control method provided by the invention effectively improves the dynamic performance, avoids subharmonic oscillation under extreme conditions, dynamically adjusts the slope compensation slope in real time, and further ensures the stability in a relatively wide input voltage range.

An isolated DC-DC converter is provided, including a full-bridge switching stage, a resonant network, a transformer, an output stage, an output stage, an error amplifier, a feedforward controller, a charge sensor and a switch controller. The output stage generates an output signal, wherein the output signal is an output voltage or output current. The error amplifier generates an error signal based on the output signal and a reference signal, wherein the reference signal is a reference voltage or reference current. The feedforward controller senses an input voltage of the full bridge switching stage, and generates a feedforward control signal based on the sensed signal. The charge sensor generates at least one charge sensing signal. The switch controller generates and provides switch control signals to the plurality of active switches in charge control mode based on at least the error signal, the feedforward control signal and the charge sensing signal.

The invention discloses a permanent magnet synchronous motor sensorless control method based on a dynamic position error. A transition stage is provided, per-unit estimation position errors between a first position error signal obtained based on a high-frequency signal injection method and a second position error signal obtained based on a sliding mode observer are compared, an optimal switching speed point is dynamically determined, smooth fusion is carried out on the two position errors by using a nonlinear weighting function, and the optimal switching speed point is obtained. And finally, the estimated position and rotating speed are obtained through a phase-locked loop. And finally, position tracking is carried out by adopting different error signals according to the estimated rotating speed. According to the method, the problem of estimation value pulsation and jump caused by the fact that a traditional method depends on fixed experience switching points is solved, smooth and self-adaptive switching of the two estimation methods in the full-speed domain range is achieved, the control precision and operation stability of the system are remarkably improved, the structure is simple, and engineering implementation is easy.

The invention provides an ultrafast laser drilling method for a carbon fiber composite material, and relates to the technical field of laser machining.The ultrafast laser drilling method comprises the steps that a material removal image and a plasma light intensity signal in the laser drilling process are obtained in real time, whether a fiber sputtering effect occurs in the material removal image or not is recognized, and if the fiber sputtering effect does not occur, the material removal image is recognized; if so, determining a hole-making influence area, and acquiring temperature distribution data of the hole-making influence area; analyzing to set a first revolution-rotation speed adjusting rule, and adjusting the revolution speed and the rotation speed of the laser based on the first revolution-rotation speed adjusting rule; and if the fiber sputtering effect occurs, quantifying the fiber sputtering effect to construct a rotation error signal, performing periodic analysis on the plasma light intensity signal to construct a revolution error signal, setting a second revolution-rotation speed adjustment rule, and adjusting the revolution speed and the rotation speed of the laser based on the second revolution-rotation speed adjustment rule.