742 results about "Error signal" patented technology

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 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.

The invention discloses an integrated management and traceability method for a non-perpetual industry chain, and relates to the technical field of information management and data traceability, and the method comprises the steps: S100, building a uniform time mark baseline of a whole link, carrying out the nanosecond alignment of all write-in channels, extracting and solidifying the time sequence features of each piece of business data, and forming a time sequence fingerprint as a structured reference basis; and S200, constructing a ghosting detection chain based on the structured reference basis, collecting delay distribution and a phase difference track in a high-concurrency writing process, and identifying a potential region of a retention copy and positioning an abnormal point in combination with a delay distribution entropy. According to the method, the nanosecond time fingerprint, the ghost detection chain, the anti-fact playback mechanism and the causal residual spectrum are constructed to realize accurate identification and dynamic control of the whole writing process of the non-perpetual data, and an error frequency signal and a time reversal rearrangement mechanism are introduced to effectively prevent repeated curing and ensure the uniqueness and credibility of the data.

The invention relates to the technical field of telephone communication, and discloses a robust recursive least square adaptive filter based on inverse QR decomposition and a storage medium, and the method comprises the steps: calculating an inner product of an adaptive weight vector at a moment and an input signal vector, and obtaining an output signal at the moment of the adaptive filter; calculating a difference value between the expected signal and the output signal at the moment, obtaining an estimation error signal, and constructing a nonlinear weighting function; recursively updating and acquiring an inverse correlation matrix of the moment input signal vector based on the moment input signal vector and transpose thereof, a nonlinear weighting function, the inverse correlation matrix of the input signal vector and the covariance of the estimated error signal, and constructing a block matrix containing the inverse correlation matrix of the moment input signal vector; inverse QR matrix decomposition and unitary rotation operation are sequentially carried out on the block matrix, an array before inverse QR decomposition and an array after inverse QR decomposition at the moment are obtained, a gain vector at the moment is constructed, and a self-adaptive weight vector at the moment is updated and obtained.

A computerised method of generating a first trainable transform arranged to be used in localisation of an entity, the transform being arranged to transform a first representation of an environment to a second, different, representation of the environment, the method comprising processing a plurality of first training representations of an environment using the first trainable transform to generate a transformed first training representation; performing at least one of: i)) running at least one known process on the first training representation and a modified version of the first training representation to generate an error signal where in the process is selected such that the first trainable transform is arranged to enhance features within the first training representation; and ii) running at least one known process on a second training representation, corresponding to the first training representation, but under a different lighting condition, and on the modified version of the first training representation to generate an error signal wherein the process is selected such that the first trainable transform is arranged to enhance features within the first training representation; and; c) using the error signal to train the first transform.

The invention provides a control method and a control system for building an independent acoustic space of an automobile cabin, which are applied to the technical field of sound field control of the automobile cabin, and are used for inputting a multi-channel vibration signal acquired in real time into a deep learning noise prediction model to obtain an in-automobile background noise prediction value at a future moment; the prediction noise is filtered by the secondary path estimation model and then is used as a feedforward reference signal for active noise reduction, and the prediction noise and a residual signal collected by a bright area error microphone are jointly used for weight updating of an adaptive filter; the updated filter generates a reverse-phase noise elimination signal and the reverse-phase noise elimination signal is played by a secondary loudspeaker in real time so as to counteract background noise of the bright area; and closed-loop adjustment of the noise reduction effect is formed based on the sound pressure level contrast ratio of the bright and dark areas, so that the independent acoustic space is kept stable in the time-varying environment of vehicle driving. According to the method, the low noise of the bright area and the isolated sound field of the dark area in the vehicle are realized by fusing deep learning noise prediction and active noise control, and the personalized auditory experience in the vehicle can be remarkably improved.

The invention discloses a noise reduction processing method and device, a vehicle and a storage medium, and relates to the technical field of intelligent cabins, and the method comprises the steps: carrying out the recognition based on an error signal and an accelerometer signal of the vehicle, and obtaining a noise scene where the vehicle is located; decomposing the accelerometer signal into a plurality of sub-band signals which are not overlapped with one another; for each sub-band signal, determining a noise reduction processing parameter corresponding to each sub-band signal based on the energy analysis and noise scene of the sub-band signal; based on the noise reduction processing parameter corresponding to each sub-band signal, performing adaptive filtering on each sub-band signal in combination with the error signal to obtain a noise reduction signal corresponding to each sub-band signal; and carrying out fusion reconstruction on the noise reduction signals corresponding to the plurality of sub-band signals to obtain a full-band noise reduction signal. According to the invention, adaptive filtering and noise reduction are carried out on each sub-band signal based on the noise scene where the sub-band signal is located, efficient division and treatment and response can be carried out on complex and multi-spectral structure noise, the noise reduction effect is improved, and the vehicle use experience feeling of a user is further improved.

The invention provides a flying robot control method and device based on force feedback and a medium, and the method comprises the steps: deploying a six-dimensional force torque sensor at an operation end effector of a flying robot, and obtaining and screening effective torque data in real time to obtain a force error signal; a compensation layer based on the Lyapunov self-adaptive law is utilized, the total disturbance is cooperatively estimated in combination with double observers, and the disturbance serves as a feed-forward quantity to be injected into an attitude controller; and calculating the adjustment amount according to the target impedance model and the force error, and generating an execution mechanism control instruction. According to the technical scheme provided by the invention, stable control of air interaction operation can be realized, and the anti-disturbance capability and interaction force control precision of the flying robot are effectively improved.

The invention discloses a multi-axis synchronous control system based on a VPX bus, and the system comprises a control platform initialization module which is used for generating a system initialization parameter set; the timing pulse synchronization module is used for forming a timing interrupt signal set; the state acquisition and error write-in module is used for acquiring an axial state, calculating an error signal and writing the error signal into the private area and the broadcast area; the distributed deviation coupling module is used for constructing a state synchronization data set; the sliding mode surface construction and state judgment module is used for constructing a non-singular fast terminal sliding mode surface; the sliding mode control output generation module is used for executing a distributed sliding mode control strategy; the optical signal conversion and data stream generation module is used for generating an optical signal control data stream; and the actuating mechanism driving module is used for converting the optical signal control data stream into an analog driving signal. According to the invention, a distributed sliding mode control and VPX high-speed synchronization mechanism is adopted, and multi-axis high-precision cooperative servo control is realized.

According to an embodiment, a phased-locked loop (PLL) circuit, within a gyroscope system, generates demodulation signals. It includes a phase frequency detector receiving gyroscope output, which compares a reference signal with a feedback signal to produce an error signal. A charge pump then converts this error into a first analog control signal. A programmable clamp circuit refines this into a second analog control signal. A voltage-controlled oscillator uses the second signal to produce an output signal at a controlled frequency determined by the clamp circuit. A frequency divider sends a comparison frequency signal back to the detector, completing the loop.

The invention belongs to the technical field of multi-agent cooperative intelligent control, and particularly relates to a multi-mechanical-arm cooperative control method under unknown disturbance, which comprises the following steps: establishing a dynamic model of a strict feedback nonlinear multi-mechanical-arm cooperative system; constructing a communication topological structure of the system through a virtual coupling mechanism; constructing a unified system collaborative error model; introducing a preset time function and a global preset performance function, mapping errors to an adjustable constraint performance space, and ensuring that all error signals are dynamically converged in a performance range set by a user; a task layer shape control force and a pose control force are designed under a distributed gradient descent method framework, a task layer overall control force is constructed, and multiple mechanical arms are driven to move cooperatively and keep a stable formation in a task space; designing a joint layer distributed adaptive control law under unknown disturbance through passive characteristics of a nonlinear system; according to the method, cooperative convergence and stable control of the multi-mechanical-arm system within the preset time can be achieved under unknown disturbance.

The invention discloses a mode-hopping-free scanning control method for a narrow-linewidth laser, and belongs to the technical field of laser control. The method comprises the following steps: generating a reference current scanning signal and a reference voltage scanning signal; generating a high-frequency jitter signal, and superposing the high-frequency jitter signal with the reference current scanning signal to generate a total injection current for driving the narrow linewidth laser; acquiring a real-time optical power feedback signal of the narrow linewidth laser; according to the optical power feedback signal and the high-frequency jitter signal, a mode margin error signal is generated through demodulation, and the mode margin error signal is used for representing the mode stability of the current working state of the narrow linewidth laser; and generating a dynamic correction voltage according to the mode margin error signal, and superposing the dynamic correction voltage and the reference voltage scanning signal to generate a total driving voltage for driving piezoelectric ceramics of the narrow linewidth laser. Through predictive feed-forward correction, mismatch is compensated and controlled in real time, and the mode hopping phenomenon is effectively inhibited.

The invention relates to the technical field of digital filters, and discloses a quantization sensing wide linear minimum error mode adaptive filter, which performs non-uniform low-bit quantization on an input signal and an expected signal by using a quantization parameter to obtain a corresponding quantization value; constructing a linear factor based on the quantization parameter; based on the non-roundness of the input signal, constructing a normalized correlation matrix of the input signal and the linearized error signal, and constructing a compensation matrix in combination with a linear factor; obtaining input signal quantized values at a current moment and a historical moment, constructing an augmented input signal vector, calculating a product of the augmented input signal vector and the compensation matrix, and constructing a corrected input vector; performing wide linear filtering on the corrected input vector to obtain an output signal, and calculating an error signal in combination with an expected signal quantized value; and updating the weight vector at the next moment by using the corrected input vector and the error signal. According to the invention, by introducing a non-uniform low-bit quantization and deviation compensation mechanism, the cost and energy consumption of the analog-to-digital converter are remarkably reduced, and a relatively low steady-state error is kept.

The invention relates to a method and equipment for detecting deflection of a galvanometer motor in a medical galvanometer scanning system. The method mainly comprises the steps that a dynamic threshold value library is established, a dynamic threshold value set matched with a current scene is called, and the dynamic threshold value set comprises an angle error threshold value, a vibration threshold value and a driver temperature threshold value; acquiring inner ring control signals in real time, wherein the inner ring control signals at least comprise a motor angle error signal, a vibration signal and a driver temperature signal; carrying out quantitative fusion on the collected signals through a multi-signal weight fusion algorithm and carrying out preliminary judgment; and comparing the preliminarily judged signals with a dynamic threshold group, judging whether each signal meets a corresponding threshold condition or not, and if all the signals meet the corresponding threshold condition, judging that the galvanometer motor deflects in place. Compared with the prior art, the precision is remarkably improved, the normal skin burn risk caused by position deviation is avoided, and the high-precision safety requirement of a medical scene is met.

The invention provides a broadband noise adaptive active noise reduction control method, which belongs to the technical field of noise reduction control, and comprises the following steps of: 1, acquiring and enhancing an original reference signal for target broadband noise; step 2, multi-channel coherence calibration is carried out based on the enhanced reference signal; step 3, generating a control signal based on the calibrated reference signal; 4, collecting an error signal based on an error microphone arranged in a vehicle compartment; and step 5, performing adaptive parameter updating based on the calibrated reference signal and error signal. The problems of slow algorithm convergence and poor noise reduction performance caused by inaccurate reference signal spectrum capture, easy pollution and poor multi-channel coherence in the existing method are solved, and efficient and stable control of broadband noise is realized.

The utility model belongs to the technical field of pulse power supplies, and particularly discloses a pulse power supply circuit, which comprises a power supply input module, a PWM (Pulse Width Modulation) signal input module, a feedback control module, a control chip and an output module, the power input module provides working power for the control chip and the whole circuit. The PWM signal input module is used for transmitting an external PWM signal to a signal input pin of the control chip; the feedback control module collects an electric signal in the circuit and transmits a processed feedback signal to the control chip; the control chip drives the output module to output a pulse power supply to provide electric energy for a load based on an input PWM signal and a feedback signal. According to the utility model, the feedback signal acquired by the feedback control module is compared with the reference voltage, the difference value is amplified, the control chip adjusts the duty ratio of the PWM signal according to the amplified error signal, the pulse waveform is effectively optimized, and the output stability and reliability of the pulse power supply are improved.

The invention relates to a power supply circuit with a monitoring function comprising a first current branch (2) with a first controllable section (20) and at least one load (21) arranged in series therewith, and a second current branch (3) with a second controllable section (30) and at least one load (31) arranged in series therewith. A controllable converter (4) is connected to the first and second current branches (2, 3) to supply a total current. A control circuit (5) with a control input, which is connected to the set input (10), wherein the control circuit (5) is coupled to the first controllable section (20) to adjust a current through the first current branch (2) depending on a provided first set signal.The second controllable branch (30) is coupled to the first current branch (2) and to the set input (10) in a dependent control loop, which is influenced by the current flowing in the first circuit (2) and the forward voltage of the two loads (21 and 31). It is configured to control a current through the second current branch (3) depending on an operating state through the first current branch (2) and a second set signal. Furthermore, a current-controlled monitoring circuit is provided, which is connected to a node between the respective current branch and the load connected in series with it. This circuit is configured to generate an error signal in response to a predefined deviation of one of the currents flowing into the current-controlled monitoring circuit, which reflects the state of the respective load.

The invention relates to the technical field of servo control, in particular to a rotary table servo compensation method based on wind load prediction, and the method comprises the steps: obtaining the motion state data of a drive end and a load end in real time; obtaining a disturbance torque I and a disturbance torque II based on the driving end motion state data and the load motion state data, and generating an error signal by using the disturbance torque I and the disturbance torque II; inputting the error signal into a self-adaptive compensation model to output a compensation torque; and generating a servo control instruction by using the compensation torque, and controlling a driving end to move.

The invention relates to a DC voltage secondary ripple suppression method. The method comprises the steps of obtaining direct-current bus voltage; subtracting the DC bus voltage from the reference voltage to obtain an error signal; suppressing a fluctuation component corresponding to a target frequency in the error signal through a resonance controller to obtain a first adjusting quantity; performing steady-state adjustment on a direct-current component in the error signal through the adjustment controller to obtain a second adjustment variable; performing phase rotation on the first adjusting quantity at the target frequency through a phase adjuster to obtain the first adjusting quantity after phase adjustment; superposing the first adjusting quantity and the second adjusting quantity after phase adjustment to obtain a target direct current signal; acting the target direct current signal on an inverter to control the inverter to output a target current; the target current is used for adjusting instantaneous active power exchange between the inverter and the alternating current power grid so as to adjust the direct current bus voltage, and the direct current bus voltage without secondary ripples is obtained.

The invention provides a reference voltage circuit and a DCDC converter, and relates to the technical field of semiconductors. The reference voltage circuit comprises a band-gap reference module and an operational amplifier module, the operational amplifier module is configured to enable the band-gap reference module to output initial reference voltage based on negative feedback operation, the operational amplifier module is configured with a first group of chopping switches, the band-gap reference module is configured with a second group of chopping switches, the first group of chopping switches has a first switching signal period, and the second group of chopping switches has a second switching signal period. The second group of chopping switches has a second switching signal period, and one of the first switching signal period and the second switching signal period is nested with the other one, so that error signals generated by the band-gap reference module and the operational amplifier module are reversely superposed; and the low-pass filtering module is configured to perform low-pass filtering on the initial reference voltage. According to the technical scheme, the reference voltage circuit meeting the requirement of a high-precision analog integrated circuit for the reference voltage can be obtained.

The invention discloses an electric energy meter operation state inspection and evaluation method and system, and relates to the technical field of electric power metering safety, and the method comprises the steps: collecting and preprocessing the electrical working data of an electric energy meter, obtaining the reference current and working current of the electric energy meter, extracting error features, and generating a current error signal; carrying out voiceprint collection on the electric energy meter, and capturing a voiceprint signal of the ammeter; converting the voiceprint signal into a discrete pulse sequence through a coding algorithm, and obtaining a standardized pulse sequence through dimension conversion and optimization compression; performing feature extraction on the standardized pulse sequence by applying a pulse neural network, and obtaining fault probability distribution through synaptic weight calculation and neuron state updating after obtaining pulse sequence features; the feedback control signal and the electric energy meter evaluation report are generated based on the fault probability distribution, and the problem of poor real-time performance of fault mode recognition is solved.

Aspects of the subject disclosure may include, for example, a digital timing skew compensator, including: a first polyphase adaptive filter bank having a first input and a first output; a first input matrix coupled to the first input of the first polyphase adaptive filter bank; a first subtractor coupled to the first output of the first polyphase adaptive filter bank, wherein the first subtractor removes a first signal generated by the first polyphase adaptive filter bank from digital outputs of sub analog-to-digital converters (ADCs) of a time-interleaved ADC to create a desired signal, wherein the desired signal is coupled to the first input matrix; a modulation matrix that modulates the digital outputs of the sub-ADCs to create a modulated signal vector; a second polyphase adaptive filter bank having a second input and a second output; a second input matrix coupled to the second input of the second polyphase adaptive filter bank; and a second subtractor coupled to the second output of the second polyphase adaptive filter bank, wherein the second subtractor removes a second signal generated by the second polyphase adaptive filter bank from the modulated signal vector to create an error signal, wherein the error signal is coupled to the second input matrix. Other embodiments are disclosed.

A power supply control device, which is a main controller of a switching power supply, includes an error amplifier, a ramp signal generation circuit, a comparison signal generation circuit, a logic circuit, a switch drive circuit, a reverse current detection circuit, and a ramp signal holding circuit. The logic circuit adjusts an input offset of the comparison signal generation circuit, the error signal, or the ramp signal in a direction that reduces a difference between the error signal and the ramp signal in response to a predetermined trigger signal.

The invention relates to the technical field of pressure control, and discloses a pressure control method, system and equipment for a vacuum butterfly valve and a storage medium, and the method comprises the steps: obtaining a pressure control error signal and an error change rate according to the internal pressure of a cavity and a preset target pressure; determining a calculation result of the composite controller based on the pressure control error signal and the error change rate; inputting a calculation result of the composite controller into a smooth switching function, calculating a mixed output quantity, and searching an optimal smooth factor and an error switching threshold value of the smooth switching function in a current environment through a particle swarm optimization algorithm; performing nonlinear compensation on the mixed output quantity of the composite controller by adopting a compensation function, converting the control quantity subjected to nonlinear compensation into the rotation step number of a stepping motor through motor driving, and controlling the rotation angle of the butterfly valve by adopting the stepping motor; the control precision and the dynamic performance are improved.

The invention relates to the technical field of PID control, in particular to an intelligent solar saving control method and device based on PID. The method comprises the following steps that a welding current-target flow velocity relation model is loaded, and PID parameters are initialized; then welding current is collected in real time, and the corresponding target flow velocity is calculated; comparing the target flow velocity with the actual flow velocity to obtain an error signal, and generating a control output quantity through PID control; then the control quantity is converted into an opening adjusting signal of the electric control proportional valve, and dynamic adjustment of the flow rate of the protective gas is achieved; and finally, current input, target generation, error calculation and valve regulation are executed circularly, and real-time closed-loop gas saving control in the welding process is achieved. Fine real-time intelligent control over the protective gas is achieved through welding working condition recognition, target flow velocity modeling and PID closed-loop self-adaptive regulation and control, the welding stability and the welding seam quality are improved, gas consumption is remarkably reduced, and the responsiveness and reliability of device operation are improved.

A controller for generating a control parameter of a feedback system may include a proportional path comprising a first selector configured to select one of a plurality of proportional signals to generate a proportional path output, where each of the proportional signals is based on a respective one of a plurality of error signals, each of the plurality of error signals is associated with a respective adjustment physical quantity; an integration path comprising: a second selector configured to select one of a plurality of integrated signals as a second selector output, where each of the integrated signals is based on a respective one of the plurality of error signals, and a single integrator configured to accumulate consecutive samples of the second selector output to generate an integration path output; and combiner logic configured to combine the proportional path output and the integral path output to generate a control parameter.

This invention relates to the field of laser technology, specifically to a three-optical-path integrated PDH frequency stabilization system. It includes a three-laser input module, an integrated optical module, and three independent servo control modules. The three-laser input module provides three laser beams to be stabilized. The integrated optical module integrates the functions of the three independent optical paths onto a single substrate, achieving separation of transmission, beam combining, and reflected light. Simultaneously, it receives the three reflected beams and converts them into three electrical PDH error signals. The three independent servo control modules receive the three error signals respectively, process them, and generate feedback control signals, which are fed back to the corresponding three lasers to complete three independent frequency-locking loops. This invention significantly reduces the system's size and cost. The integrated optical module achieves compact integration of the three optical paths, improving system stability and anti-interference capabilities, reducing debugging difficulty, and ensuring system consistency.

The invention discloses an unmanned aerial vehicle base station control system based on reinforcement learning, and belongs to the technical field of artificial intelligence. The system comprises a first reinforcement learning module, an outer ring controller and a first approaching calculator, the first approaching calculator generates a sequence error signal according to the actually measured position of the nth unmanned aerial vehicle base station, and the first reinforcement learning module generates a first state at time t according to the sequence error signal; and the first reinforcement learning module generates a control strategy of the outer ring controller according to the first state, the weight of the unmanned aerial vehicle base station and the coverage angle. The optimal control parameters of the controller do not need to be preset, and autonomous learning can be achieved.

A system for automatically locking a control laser in a Rydberg atomic sensor may comprise an atomic vapor cell, a probe laser configured to excite the atoms in the atomic vapor cell to an intermediate energy state, and a control laser configured to excite the one or more atoms in the atomic vapor cell from the intermediate energy state to a higher energy state. The light generated by the control laser may be dithered at a pre-determined frequency. The system further comprises a photodiode configured to convert light received from the vapor cell into an electrical signal, a lock-in amplifier configured to generate an error signal based on the electrical signal received from the photo diode and a received reference oscillation frequency, and a servo configured to receive the generated error signal from the lock-in amplifier and adjust a frequency of the control laser based on the received error signal.