505 results about "Cutoff frequency" patented technology

The invention provides a power grid connection disturbance observer feedback control method, which belongs to the technical field of power grid connection, and comprises the following steps: detecting power grid impedance parameters by using a multi-frequency harmonic injection technology, designing a disturbance observer algorithm to establish a state equation set, and constructing a nominal inverter model by using a low-pass filter; the total disturbance amount is estimated in real time by comparing the difference value between the actual current output and the nominal model output, a feedback control strategy is constructed, the disturbance estimation value serves as a feedforward compensation signal to be superposed to the current controller output, and disturbance components in different frequency ranges are processed in a classified mode according to disturbance types. A disturbance observer bandwidth parameter and a filter cut-off frequency are set, a disturbance estimation value is compensated to a current control loop in real time through a feedforward compensation signal to suppress the influence of power grid disturbance on the grid-connected current, and the technical problem that it is difficult to accurately estimate and compensate the influence of power grid disturbance on the grid-connected inverter in real time is solved.

The invention relates to the technical field of data center dynamic modeling, and discloses a twin model dynamic modeling method for a data center DCIM platform, which comprises the following steps: constructing a discrete state space model containing a thermal coupling matrix and a system matrix, collecting real-time power and temperature time sequence data, and calculating a cross-correlation function to lock hot air dynamic transmission lag time; calculating cut-off frequency based on physical attributes of the cabinet and decomposing data into high and low frequency components by using a complementary filter; according to the method, the model parameters are made to return to a physical source through a frequency domain decoupling mechanism, the problem of aliasing of airflow coupling and structural thermal inertia parameters in a traditional single-scale identification method is solved, and the method is suitable for large-scale identification. And the physical authenticity and prediction robustness of the twin model under a complex working condition are improved.

The invention relates to the technical field of optical fiber sensing, and discloses an anti-aliasing filtering method and device for a distributed optical fiber acoustic sensing system.The method comprises the steps that environmental noise frequency band characteristics are analyzed in real time, the cut-off frequency and type of an anti-aliasing filter are dynamically adjusted, an invalid sampling channel is closed in combination with frequency-band-division energy detection, and therefore the anti-aliasing filtering efficiency is improved; aliasing noise is significantly suppressed; and the data volume is reduced. And an equipment fault feature library matching mechanism is further introduced, and an emergency anti-aliasing mode is triggered when fault noise suddenly occurs, so that the fault detection accuracy is improved. The method can be widely applied to the fields of oil and gas pipeline monitoring, industrial equipment health diagnosis and the like, and the performance bottleneck of a traditional fixed filter under broadband dynamic noise is solved.

The invention discloses a method for improving the stability of a system for sending out deep and far sea wind through a dual-port light converter. The method comprises the following steps: introducing a voltage feed-forward path comprising a phase compensator and a low-pass filter into an MMC differential mode control loop in the dual-port light converter; and a compensator parameter feasible region is calculated based on the phase characteristics of the oscillation risk frequency band, and the cut-off frequency of the filter is set, so that targeted phase compensation and impedance remodeling are realized, and the damping of the dual-port light converter is effectively enhanced. According to the method, the impedance characteristic of the dual-port light-weight current converter in the oscillation risk frequency band is remarkably improved, and a reliable technical path is provided for improving the stability of the dual-port light-weight current converter.

The embodiment of the invention provides an excitation signal generation method and system and a digital eddy current sensor, and the method comprises the steps: outputting a square wave signal through a pulse width modulation assembly of a microcontroller unit, and enabling the frequency and resolution of the square wave signal to be adaptive to eddy current probes with different inductance values; inputting the square wave signal into a low-pass filter for filtering, and setting the cut-off frequency of the low-pass filter, the suppression times of higher harmonics and the attenuation slope so as to output a sine wave signal with a target total harmonic distortion range; the amplitude of the sine wave signal is collected in real time, and the pulse width modulation duty ratio and the passband gain of a low-pass filter are dynamically adjusted in combination with a digital control algorithm, so that the sine wave signal is subjected to self-adaptive adjustment and correction and is output; and taking the sine wave signal as an excitation source of an eddy current probe, and driving the eddy current probe to carry out nondestructive testing. According to the invention, the excitation signal which gives consideration to high-frequency signal generation, deep harmonic suppression and digital adaptive adjustment can be generated.

The invention discloses a fuel cell hybrid train energy dispatching method and system. The method comprises the steps that S1, a hydrogen fuel hybrid train power system model is constructed; s2, acquiring required power in a train running process, and decomposing the required power into a low-frequency component and a high-frequency component by using a low-pass filter with adjustable cut-off frequency; constructing a double-layer reinforcement learning agent, and performing real-time dynamic optimization adjustment by taking the cut-off frequency of the low-pass filter as an action variable of the reinforcement learning agent; s3, designing a multi-objective reward function and a system total cost function, and synchronously optimizing fuel cell efficiency, fuel cell power fluctuation, hydrogen consumption and lithium battery SOC to approach initial values; and updating double-layer reinforcement learning agent network parameters through a depth deterministic strategy gradient algorithm, and finally outputting a real-time power distribution instruction of the fuel cell and the lithium battery. The method has the advantages of reducing the fluctuation of the output power of the hydrogen fuel cell, reducing the hydrogen consumption and the like.

The invention discloses a servo system control method based on frequency domain self-tuning and linear active disturbance rejection, and relates to the technical field of servo control and motor control. Comprising the following steps: based on a mathematical model of a permanent magnet synchronous motor, establishing a double-inertia model suitable for a large-inertia servo system, and constructing an equivalent mathematical expression of an electrical and mechanical transmission system; in a three-stage cascade control architecture composed of a current loop, a speed loop and a position loop, the current loop is used for current adjustment, the speed loop is used for dynamic response adjustment, and the position loop is used for displacement target tracking. Based on a frequency domain performance index and a rule method, PI controller parameters of a speed loop and a position loop are set respectively, and the frequency domain index comprises an open-loop cut-off frequency and a phase margin; and establishing a frequency domain equivalent mapping relation between the PI controller and the LADRC controller. The method has the advantages that the method does not depend on accurate modeling and manual interference, automatic parameter setting can be achieved, non-overshoot dynamic response is achieved, and the remarkable disturbance suppression capacity is shown.

The invention discloses an acoustic monitoring method, system, medium and equipment for the near stall condition of an aircraft compressor, and the method comprises the steps: carrying out the synchronous collection of sound pressure time domain signals of multiple channels of an aviation compression system; adding a rectangular window to the multi-channel sound pressure time-domain signal, and constructing an acoustic time-domain signal segment to monitor the current operation state of the aviation compression system; performing fast Fourier transform on the multichannel acoustic time domain signal segment in the current time domain window to form a plurality of sound pressure frequency spectrums, judging whether a plurality of single-tone characteristic frequencies which are non-integer multiples of the current rotation frequency exist in the sound pressure frequency spectrums or not, and constructing an orthogonal Fourier transfer matrix based on the installation position and the highest circumferential modal order, and judging whether the order difference of the characteristic acoustic mode under each characteristic frequency is the rotation frequency multiple difference of the corresponding characteristic frequency, calculating the acoustic mode amplitude corresponding to each broadband frequency component, drawing an acoustic mode spectrogram, and judging whether a mode bright band exists at the cut-off frequency boundary in the acoustic mode spectrogram.

The invention relates to the technical field of weak signal conditioning circuits, and discloses a multi-light-source spurious noise suppression circuit based on a laser sensor and a signal conditioning method, and the circuit comprises a photoelectric conversion module which is used for converting a received optical signal into a current signal; the transimpedance conversion module is connected with the photoelectric conversion module, converts the current signal into a first voltage signal and suppresses common-mode noise; the first-stage amplification module is used for carrying out linear amplification on the first voltage signal and outputting a second voltage signal; the programmable filtering module is used for carrying out high-frequency noise suppression on the second voltage signal; the reverse phase adjusting module is used for adjusting the phase and the amplitude of the filtered signal so as to adapt to a post-stage load; and the feedback control module analyzes the frequency spectrum of the output signal in real time and dynamically adjusts the cut-off frequency of the programmable filtering module. The invention aims to solve the problems that in the prior art, a laser sensor circuit is poor in anti-interference performance in a multi-light-source environment, and measurement is inaccurate due to spurious noise.

The invention provides a direct-current voltage synchronous control oscillation suppression method, system, equipment and medium based on transient dynamic energy dissipation, and belongs to the technical field of direct-current voltage synchronous control. A direct-current voltage synchronous control converter is equivalent to a synchronous machine model, a power angle dynamic equation based on a power grid angular velocity is established, and a damping coefficient is defined; adjusting a damping coefficient based on a differential relationship of the DC voltage deviation to control an energy dissipation rate; by adjusting the proportionality coefficient and the high-pass cut-off frequency, the voltage-angular velocity phase characteristic meets the oscillation suppression requirement, and angular velocity and voltage deviation reverse offset is achieved; a damping coefficient and compensation loop parameters are dynamically adjusted in real time according to DC voltage fluctuation and frequency deviation, an adaptive matching relation is established in combination with equivalent rotational inertia, and a phase compensation effect is maintained to suppress oscillation amplitude. According to the method, an oscillation mechanism is analyzed, and transient kinetic energy and transient potential energy are defined. Low-frequency oscillation is effectively suppressed, and the dynamic stability of the system is improved.

The invention belongs to the technical field of aviation flight training, particularly relates to a flight training trajectory generation method fusing an attention mechanism, and solves the problems that in the prior art, diversified, personalized and high-quality flight training trajectories are difficult to generate, and the high-quality training requirement cannot be met. According to the method, flight training multi-source data is obtained and subjected to preprocessing and dynamic weight fusion to generate fusion data, an encoder in a prediction model processes a single track fragment in the fusion data through a random feature attention mechanism, real-time aerodynamic parameters are fused into a key matrix, an attention score is adjusted through an aerodynamic consistency coefficient, and then submerged space representation is obtained; the decoder generates an initial prediction flight training trajectory sequence in combination with the submerged space representation and the noise vector; and finally, suppressing high-frequency noise by using speed self-adaptive cut-off frequency and weighted sinc filtering, and carrying out nonlinear filtering to obtain a final predicted flight training trajectory sequence. According to the method, diversified, personalized and high-quality flight training trajectories are generated, and the high-quality training requirement is met.

The invention relates to the technical field of converter analysis, in particular to a converter transient stability analysis method and system considering HPFR structure influence. The method comprises the steps that an HPFR structure is considered, and a transient response large disturbance dynamic model of a virtual synchronous generator under large disturbance is constructed; based on the constructed transient response large-disturbance dynamic model, analyzing the transient stability of the system by adopting an extended equal-area method to obtain a VSG dynamic response characteristic jointly influenced by a gain coefficient and a cut-off frequency in a speed regulation link; based on VSG dynamic response characteristics, a phase diagram analysis method is adopted to evaluate a gain coefficient and a cut-off frequency in a speed regulation link, and a value interval of the gain coefficient and the cut-off frequency in the speed regulation link is obtained; and optimizing a gain coefficient and a cut-off frequency in a speed regulation link of the virtual synchronous generator, so that a power angle value of the system is smaller than a power angle value of the system tending to be unstable under a fault condition. The method has the characteristics of high analysis precision, difficulty in conservative judgment result and the like.

The invention provides an eddy current sensor signal noise reduction method based on frequency division detection low-pass filtering and a monitoring system, belongs to the technical field of sensor signal processing, and can at least partially solve the problems of unstable signals and inaccurate measurement in the prior art. The signal noise reduction method for the eddy current sensor comprises the following steps: processing an original output signal of the eddy current sensor by adopting a synchronous detection module, demodulating a dynamic vibration alternating current component of the original output signal into a direct current voltage signal by utilizing a reference signal, and separating a static displacement direct current component signal; an independent dynamic signal channel and an independent static signal channel are formed; filtering high-frequency noise in the dynamic signal channel through a dynamic channel low-pass filter with a first preset cut-off frequency, and filtering power frequency interference in the static signal channel through a static channel low-pass filter with a second cut-off frequency; and reversely injecting compensation voltage at the output end of the static channel low-pass filter so as to eliminate the direct-current offset error of the static displacement component signal.

The invention discloses a stop-band residual compensation method and device of a digital filter, a storage medium and a computer program product, and relates to the technical field of audio signal processing, and the method comprises the steps: collecting an original audio signal and a digital filtering signal; the digital filtering signal and the original audio signal are synchronously input into a pre-constructed stop-band residual noise dynamic compensation model to be processed, a smooth transition signal is obtained, and the stop-band residual noise dynamic compensation model takes a hardware filtering signal output by a hardware simulation filter as a target label; and superposing the smooth transition signal and the digital filtering signal according to a preset superposition proportion to obtain a calibration signal. The stop-band residual noise dynamic compensation model learns smooth transition characteristics when the hardware simulation filter reproduces parameter adjustment, and the flexibility of the digital filter is considered, so that the response speed when the digital filter adjusts the cut-off frequency in real time at high frequency is improved, and the stop-band residual energy at the moment of cut-off frequency adjustment is inhibited.

The invention belongs to the technical field of motors, and discloses anti-electromagnetic interference magnetic suspension controller equipment and a filtering method. The method comprises the following steps: preparing a quantum confinement magnetic permeability unit, acquiring magnetic flux and temperature data in a magnetic core in real time through an embedded sensor array, and building a corresponding magnetic permeability regulation and control model; the output of the magnetic conductivity regulation and control model is obtained, and real-time inductance is obtained through analysis; on the basis of the real-time inductance, in combination with a preset target inductance, compensating the real-time inductance through a grid voltage regulation and inductance compensation cooperation strategy; according to the compensated real-time inductance, a PID controller is adopted for filtering; under the strong magnetic field and high temperature coupling environment, the nonlinear decrease amplitude of the magnetic conductivity can be effectively reduced, the drift amount of the inductance value, the cut-off frequency offset of the filter and the current ripple can be reduced, the rotor suspension precision can be improved, and the filtering stability and the control reliability of a magnetic suspension system under the extreme environment can be remarkably improved.

The invention provides a process weak correlation frequency adjustable anti-aliasing filter circuit which is characterized by comprising a current generation module, a current mirror module, a control voltage generation module and an MOSFET-C anti-aliasing filter module. The anti-aliasing filter circuit with the adjustable frequency has the remarkable advantages that the anti-aliasing filter circuit with the adjustable frequency can generate cut-off frequency linearly related to the frequency of an input clock signal, and the anti-aliasing filtering function with the adjustable frequency is achieved. In addition, the circuit can effectively reduce the influence of technological parameters on the cut-off frequency, has good circuit performance, and meanwhile, compared with a cut-off frequency adjusting method of an existing on-chip filter circuit integrated control loop, the circuit is simple in structure, small in introduction power consumption and low in cost. And the anti-aliasing filtering requirement of the ADC acquisition front end within the input clock signal frequency range of 10 kHz to 100 kHz can be met.

An articulated robot control method and system and an articulated robot. The control method comprises: establishing a single-articulated impedance control model on the basis of a dynamics model of a robot; determining a stiffness range of a single articulation on the basis of the single-articulated impedance control model, the cut-off frequency of a robot control system, and a critical damping condition; using the stiffness range to determine the maximum stiffness value of the single articulation and a corresponding damping value; establishing a multi-articulated impedance control model and a Cartesian impedance model on the basis of the dynamics model; obtaining an articulation control law on the basis of the multi-articulated impedance control model and the Cartesian impedance model; and on the basis of the articulation control law, using the maximum stiffness value of the single articulation and the corresponding damping value to perform optimal impedance control. Thus, the technical problem in the prior art that the accuracy is low when dynamic performance control is performed on a robot by using an impedance control method is solved, and the technical effect of improving the accuracy of controlling the robot is achieved.

The invention discloses an electric meter sampling filter chip and system integrated with a programmable anti-aliasing filter, and relates to the field of electric energy metering chips, the electric meter sampling filter chip comprises a programmable anti-aliasing filter module, a digital control and interface module and a cooperative control unit, through binary weighted control of a switched capacitor array, the cut-off frequency can be dynamically adjusted within the range of 1 kHz to 100 kHz, and the cut-off frequency can be adjusted within the range of 1 kHz to 100 kHz. Switching of a Bessel mode, a Butterworth mode and a Chebyshev mode is physically achieved by reconstructing a feedback network, a programmable AAF, an ADC, control logic and a digital interface are integrated into a single chip, and the number of external elements such as an RC network and an operational amplifier is reduced; aDC sampling data is analyzed through FFT, the signal-to-noise ratio is calculated in real time, the filter mode is automatically switched, a hardware interrupt pin triggers notification after configuration is completed, MCU polling is replaced, and frequency response is ensured to be accurate and controllable through laser trimming of a switched capacitor array.

The invention discloses a rotary table angle data filtering method based on an adaptive cut-off frequency filter, relates to the technical field of signal data filtering, and aims to solve the problem of numerical value jumping caused by high-frequency noise interference on rotary table angle data. The method comprises the following steps: firstly, setting a minimum cut-off frequency and a speed coefficient for an adaptive cut-off frequency filter, obtaining rotary table angle data, calculating the change speed of filtered standard data, and dynamically adjusting the cut-off frequency of the filter; filtering the data for multiple times by using an exponential smoothing formula; and finally, updating the dynamic cut-off frequency according to a filtering result to obtain filter parameters. The filter is a low-pass filter, has the advantages of being easy and convenient to adjust parameters, high in adaptability and high in calculation efficiency, can effectively suppress noise, and meanwhile keeps sensitivity to fast change data. Experiments prove that the method has good performance in different speed data processing, and is suitable for an inertial navigation equipment turntable system.

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

The invention relates to the technical field of mobile energy storage, in particular to a method and a system for optimizing power smooth control parameters of a mobile energy storage system. According to the method, the frequency band of the filter is dynamically adjusted by combining the power fluctuation frequency spectrum and the motion attitude data, and vibration noise is accurately filtered while effective load signals are reserved, so that the problem of signal distortion caused by a fixed cut-off frequency LPF is solved; a temperature-power attenuation coefficient is generated in real time through a three-dimensional temperature field to adaptively correct a control parameter, the problems of integral saturation at high temperature and slow response at low temperature caused by battery temperature drift are avoided, and meanwhile, a vibration net interference phase is utilized to perform advanced compensation on a control loop so as to remarkably reduce the problem of control delay, and the battery performance is improved. And fusing the key parameters, and executing a closed-loop scoring mechanism of feedback data based on the parameters to further ensure the real-time effectiveness of the control effect, thereby ensuring the reliability of smooth control of the system power.

The invention provides a design method and system of a delay-free proportional resonator. The method comprises the following steps: step S101, establishing an incidence relation; step S102, constructing a setting relational expression; step S103, constructing a delay compensator, determining a compensation inner ring gain of the delay compensator according to the closed-loop transfer function of the medium-frequency band system, and calculating a compensation gain according to the compensation inner ring gain; s104, defining a variable, calculating the product of the variable, the compensation inner ring gain and the compensation gain, and judging whether the product is smaller than a first threshold value or not; step S105, if the first threshold value is less than the first threshold value, finishing setting; and S106, if the cut-off frequency is greater than or equal to the first threshold value, adjusting the cut-off frequency according to a preset strategy, and returning to the step S101. The control precision of the inverter system can be effectively improved, and the electric energy quality is improved.

The invention relates to the technical field of weighing calibration, in particular to an AI-based electronic scale dynamic anti-cheating calibration method. The method comprises the following steps: firstly, acquiring an attack window to determine an attack pulse signal; matching the electronic scale with cheating devices of different models based on the noise of different offsets of the electronic scale during the real-time weighing period, and determining the maximum signal-to-noise ratio of the matched cheating device as a crystal oscillator noise coefficient; based on the waveform jitter characteristic of the attack pulse signal, matching the attack pulse signal with the simulated attack pulse signal in the contrast library, and determining a pulse gene variation coefficient according to the waveform abnormity of the matched simulated attack pulse signal; determining a behavior layer abnormal value according to the number of times of position transfer of the attack window in different state stages; and according to the crystal oscillator noise coefficient, the pulse gene variation coefficient and the behavior layer abnormal value, respectively correcting the baseline, the cut-off frequency and the sampling interval of the electronic scale. The anti-interference precision of the electronic scale is improved.

The application discloses a local discharge signal processing method and device under high-frequency square wave voltage, wherein the method comprises the following steps: filtering low-frequency noise signals of a test power supply by using a high-pass filter with a preset cutoff frequency, wherein the test power supply is a high-frequency square wave power supply for local discharge test of an insulation sample; obtaining a local discharge starting voltage of the insulation sample, collecting a local discharge signal when a test voltage is the local discharge starting voltage, obtaining a characteristic frequency band of local discharge of the insulation sample according to the local discharge signal, and the test voltage is a high-frequency square wave voltage of the test power supply; performing modal decomposition on the local discharge signal of the characteristic frequency band to obtain a plurality of modal components, selecting a plurality of modal components satisfying a preset condition to perform noise reduction processing and signal reconstruction, and obtaining a denoised local discharge signal of the insulation sample under the high-frequency square wave voltage. The application can avoid interference of the high-frequency square wave power supply on the local discharge signal, and obtain a local discharge signal with high signal-to-noise ratio under the high-frequency square wave voltage.

The invention discloses a radio-frequency coaxial cable working at an ultra-cut-off frequency and a preparation method of the radio-frequency coaxial cable. The coaxial cable provided by the invention sequentially comprises an inner conductor, a foaming insulating layer and an outer conductor from inside to outside, the inner conductor and the outer conductor are coaxially nested; the outer conductor is an embossed copper pipe; the foaming insulating layer is made of foaming polyethylene; the foamed polyethylene is manufactured by physical foaming by adopting hexafluorocyclobutane as a foaming agent, a closed-cell structure with the closed-cell rate larger than 90% and the pore size of 10-100 microns is formed, and the outer conductor and the foamed insulating layer are subjected to heat treatment at the temperature of 80-125 DEG C to induce secondary pore growth. According to the invention, by utilizing the principle of secondary growth of bubbles, the phenomena of stress accumulation and nonuniform air holes caused by the fact that bubble tissues of the foaming insulating layer are pressed in the embossing process of the outer conductor are improved, scattering and reflection of signals are reduced, and the cable can still keep excellent standing-wave ratio performance in an adjacent wave band exceeding a cut-off frequency; therefore, the 5G communication requirement of the large-size coaxial cable with the wave band of 2.7 G to 3.3G is met.

The invention relates to the technical field of laser micro-nano manufacturing, and discloses a filtering supercapacitor based on nanoparticle-shaped graphene / foam metal and a preparation method thereof, and the preparation method comprises the following steps: preparing a cyanate resin / foam metal composite film by employing foam metal with an open pore structure and a liquid cyanate monomer; carrying out laser processing by adopting an intermediate infrared large-size light spot laser beam and an ultraviolet small-size light spot laser beam, and carrying out in-situ laser induction on the surface of the foam metal to grow the nanoparticle-shaped graphene so as to prepare a nanoparticle-shaped graphene / foam metal electrode raw material; cutting the electrode raw material into an electrode, and attaching a second mask; and preparing an interlayer type filtering supercapacitor. The conductivity of the generated nanoparticle-shaped graphene / foam metal thin film is as high as 909.09 S / cm, the prepared supercapacitor still keeps a relatively good capacitance behavior at a scanning rate of 2500V / s, the phase angle is as high as-70 degrees at 120Hz, the surface specific capacitance is 245 [mu] F / cm < 2 >, and meanwhile, the supercapacitor has a cut-off frequency as high as 3kHz and an RC time constant as low as 0.33 ms.

The invention discloses a jitter suppression method and system for an AGV. The method comprises the steps that a rotor speed signal and a torque instruction signal of a permanent magnet synchronous motor of the AGV are collected; performing discretization sampling on the rotor speed signal to obtain a discrete speed signal; performing spectral analysis on the discrete speed signal to extract a corresponding vibration spectrum, and obtaining a main frequency point where resonance occurs; inputting the discrete speed signal into a high-pass filter to extract a component required by active damping suppression of a vibration frequency point, carrying out discretization differential on the discrete speed signal to obtain an acceleration signal, and carrying out band-pass filtering on the acceleration signal by adopting a band-pass filter to obtain a component required by acceleration feedback suppression; the cut-off frequency of the high-pass filter and the center frequency and bandwidth of the band-pass filter are determined by main frequency points; and a compensation torque signal is obtained according to the jitter component and the component required for acceleration feedback suppression, so that jitter caused by resonance of the AGV is suppressed according to the compensation torque signal.

The present invention discloses a liquid-resistance vibration reduction device with a multi-stage segmented acoustic black hole structure, comprising a cylinder cup filled with damping fluid and a multi-stage segmented acoustic black hole structure disposed within the cylinder cup; the multi-stage segmented acoustic black hole structure comprises a plurality of acoustic black hole structures stacked in parallel with each other, each having a segmented power-finger profile; an inertial channel damping disk is disposed between two adjacent acoustic black hole structures; the multi-stage segmented acoustic black hole structure includes but is not limited to a first-stage acoustic black hole structure and a second-stage acoustic black hole structure; the inertial channel damping disk is provided with a plurality of inertial channels for passage of the damping fluid; a connecting rod of the first-stage acoustic black hole structure extends from the cylinder cup and connects to a top disk. Compared with the prior art, the present invention has the advantages of a low cutoff frequency, a wide effective bandwidth, and robust and controllable damping characteristics. The present invention utilizes a multi-stage segmented acoustic black hole structure, which can filter, grade, and focus bending waves propagating in the structure, achieving a vibration reduction effect with a lower cutoff frequency and a wider bandwidth.

An exemplary sound processor is configured to direct a cochlear implant to apply standard electrical stimulation representative of frequencies in an audio signal that are within an upper region to a cochlea of a first ear of a recipient by way of a plurality of electrodes in accordance with a frequency allocation table that maps frequencies in the upper region of the audible frequency range of the recipient to the plurality of electrodes, the upper region of the audible frequency range comprising frequencies above and including a cutoff frequency, and direct the cochlear implant to apply electrical stimulation representative of frequencies in the audio signal that are within a lower region of the audible frequency range to the cochlea of the first ear by way of a most apical electrode and one or more compensating electrodes included in the plurality of electrodes in accordance with an electrode stimulation configuration.

The invention discloses a rectangular waveguide circuit board preparation method and a circuit board, and belongs to the technical field of circuit board manufacturing. The preparation method comprises the steps of providing upper and lower substrates of a circuit board; preparing a rectangular groove base material with a rectangular groove based on a preset requirement; an upper limit cut-off frequency wavelength is obtained according to the rectangular groove parameters, then the aperture, the hole pitch, the hole position and the arrangement constraint are obtained, and medium hole design data are determined; medium holes are formed in the upper and lower base materials according to the data to obtain upper and lower hole base materials; pressing the three parts to obtain a substrate with a rectangular cavity; and electroplating liquid medicine is injected through the medium hole, so that the inner wall of the cavity is metalized to obtain the rectangular waveguide circuit board. According to the invention, conventional processing is realized, the cost and the process complexity are reduced, the cavity reliability is improved, the PCB manufacturing technology is compatible, and the high-frequency transmission performance and the processing yield are ensured.