73 results about "Fixed gain" patented technology

The invention relates to the technical field of underwater desilting robot cruise control, in particular to an underwater desilting robot intelligent cruise control method based on environmental perception, and the method comprises the steps: determining a track deviation distance by measuring the position distance of an underwater desilting robot between each moment and all moments within a preset duration before; and determining a second gain adjustment coefficient based on the variation trend of the track deviation distance at all moments within a preset time period before the current moment, and determining a gain adjustment coefficient in combination with the first gain adjustment coefficient so as to optimize the gain coefficient of the sliding mode controller and control the attitude of the underwater dredging robot. According to the method, the problem of hysteresis course errors of the underwater dredging robot caused by fixed gain in traditional sliding mode control is solved, gain adaptive optimization is realized by dynamically fusing multi-source trend data, and the dredging efficiency of the underwater dredging robot is improved.

The invention discloses a surface-mounted permanent magnet synchronous motor sensorless high-performance sliding-mode control method, and the method comprises the steps: designing an improved self-adaptive terminal sliding-mode switching function for the problem of high-frequency buffeting of a sliding-mode observer caused by the fixed gain design of the switching function; and dynamically adjusting the gain of the switching function according to the sum of the stator current error and the integral thereof under the two-phase static coordinate system so as to suppress high-frequency buffeting and improve the estimation precision. In order to further improve the performance of the position sensorless control system, a reaching law in a sliding mode controller is optimized, a novel composite gain self-adaptive sliding mode reaching law is designed, the reaching law combines a self-adaptive gain term, a nonlinear exponential term and a linear term, the system state is accelerated to approach when being far away from a sliding mode surface, buffeting is reduced when the system state approaches, and the control precision of the position sensorless control system is improved. Therefore, the dynamic response speed and buffeting suppression capability of the control system are balanced.

The invention provides a correlated double-sampling program-controlled gain amplifier for a high-energy particle detection pixel sensor and an implementation method, and solves the technical problem that a large dynamic range and high readout precision cannot be considered at the same time during existing high-energy particle detection. The circuit comprises a correlated double-sampling circuit, a signal polarity conversion circuit, an amplification feedback circuit and a configuration automatic judgment circuit. The correlated double sampling circuit is used for performing double sampling on the output voltage of the pixel signal to obtain twice sampling voltage; the configuration automatic judgment circuit is used for selecting configurations for switching according to the voltage difference between the two sampling voltages to obtain an output signal; and the amplification feedback circuit is used for performing fixed gain voltage amplification on the output signal to obtain an amplified voltage signal. The circuit can be widely applied to the technical field of integrated circuits.

The invention provides a steering-by-wire vehicle variable transmission ratio design method and system based on a fuzzy neural network, and belongs to the field of vehicle steering-by-wire. According to a fixed gain method, the steering angle transmission ratio is too small at a low speed, and the sensitivity is low at a high speed; the existing intelligent algorithm excessively depends on the experience of a designer and the quality of a data sample. The method comprises the following steps: establishing a closed-loop driver-vehicle system, designing a multi-target evaluation method by using a quadratic cost function of a vehicle dynamic state, and obtaining a data relationship between a vehicle ideal variable transmission ratio characteristic and a vehicle longitudinal speed and a steering wheel angle; a nonlinear control model is established through a fuzzy RBF network, and a globally optimal solution is obtained based on nonlinear model learning. The robustness of the control system is improved, the stable and reliable transmission ratio can be provided under various vehicle conditions, and the problem that a steering system is light and flexible is solved, so that the experience feeling of a driver under various vehicle conditions is improved, and meanwhile the operation stability and safety of the vehicle are improved.

The invention belongs to the field of coherent combination, and discloses a multi-strategy segmented fusion adaptive SPGD algorithm for a laser coherent combination system. The method is used for solving the problems that in a traditional SPGD algorithm, due to the fact that a fixed gain coefficient and disturbance amplitude exist, the convergence speed and stability of the algorithm are contradictory, and the optimal performance is difficult to achieve in different environments and system states. According to the method, the algorithm is divided into three stages in the iteration process, and self-adaptive adjustment of the gain coefficient and the disturbance amplitude is realized according to the characteristics of a hardware system in combination with three different iteration strategies. According to the method, the convergence speed of the algorithm can be remarkably improved, meanwhile, the stability of the algorithm can be effectively improved, the algorithm has higher robustness in consideration of hardware system characteristics, and the good application prospect and feasibility of the algorithm are shown.

The invention discloses an IMU attitude calculation method, device and equipment and a storage medium, and the method comprises the steps: obtaining IMU original data which comprises a three-axis acceleration measurement value and a three-axis angular velocity measurement value; dynamically updating gain parameters of a Mahony complementary filtering algorithm based on the three-axis acceleration measurement value, the gain parameters including a proportional gain parameter and an integral gain parameter; based on the gain parameter, correcting the triaxial angular velocity measurement value to obtain a target triaxial angular velocity value; and calculating body attitude information based on the three-axis acceleration measurement value and the target three-axis angular velocity value. Compared with a traditional Mahony algorithm adopting fixed gain parameters, the method can reduce error fluctuation of the airframe under rapid movement and improve the accuracy of attitude calculation.

The invention relates to the technical field of laser terminal pointing control, and discloses a laser terminal installation error on-orbit calibration method which comprises the following steps: S1, defining multiple coordinate systems including an ideal installation coordinate system of a laser terminal during ground calibration and an actual installation coordinate system caused by stress release or deformation after emission, and a real-time pointing coordinate system of in-orbit operation of the laser terminal. And S2, establishing a laser terminal installation error model, wherein the model defines an installation error angle through a direction relation of a coordinate system before and after terminal emission. According to the method, the installation error angle is dynamically estimated through the recursive least square method, high-precision dynamic correction of the laser terminal pointing error is achieved in combination with the rotation matrix pointing correction model, meanwhile, error feedback and time sequence control are introduced, and the problems of nonlinear error accumulation, insufficient fixed gain response and long-term error accumulation in the prior art are solved.

The invention belongs to the technical field of radio frequency amplification circuits, and particularly discloses a short-wave receiving amplification circuit capable of realizing cascade transmission and a short-wave communication system. According to the invention, direct current and interference in a previous-level signal are filtered through the filtering module, a pure radio frequency signal is obtained, and a foundation is laid for subsequent processing; the signal strength is improved through the amplification module, and single-stage transmission attenuation is overcome; the key point is that the balance gain module applies gain processing which is compensated for the loss characteristic of a transmission link to the amplified signal, so that the signal strength can be accurately matched with the actual loss of the line, and the problem that a fixed gain mode cannot adapt to the multi-stage series accumulated loss is solved. Compared with the prior art, the scheme realizes stable cascade transmission of short-wave signals through cooperative work of the modules, and remarkably improves the transmission distance and reliability of the system through dynamic compensation accumulated loss.

The invention relates to a transducer matching optimization program algorithm for an NB remote transmission ultrasonic gas meter, and the method comprises the steps: carrying out the continuous sampling of measurement data in the gas meter in a sampling time period, and obtaining a sampling data set; obtaining a first sound velocity estimation value according to the downstream propagation time and the countercurrent propagation time; obtaining a primary sieve database based on all the first sound velocity estimated values; determining a matched fluid corresponding to the target fluid in a primary screen database according to the first sound velocity estimation value; determining an initial working parameter group in the transducer in a fluid acoustic parameter database according to the matched fluid; performing adaptive correction on the initial working parameter group according to the first sound velocity estimation value to obtain a recommended working parameter group; and generating a control instruction based on the recommended working parameter group, and sending the control instruction to the transducer. Compared with a fixed gain mode, the method can be matched with various gas media in a self-adaptive mode, and the application range of the ultrasonic gas meter is remarkably expanded.

A control method of an optical transceiver having a transmission port, a reception port, and a light source for transmission and reception of an optical signal, includes: determining whether a state of a connection of a transmission path to the reception port is a loopback connection from the transmission port; and switching a control of a gain of the reception from an automatic gain control (AGC) to a fixed gain when determining the state of the connection to be the loopback connection.

The present invention relates to a trajectory control method based on time-varying fuzzy sliding mode. The method includes: establishing a system dynamics model, designing a high-order observer to estimate the position, velocity, acceleration and lumped disturbance in real time, and avoiding the conservatism of fixed gains through adaptive gain adjustment; constructing a fuzzy sliding mode control law, combining the equivalent control term and the switching control term, and dynamically adjusting the error weight by using a fuzzy logic system; designing a dynamic limiter and a delay compensation mechanism to smoothly limit the control command to the physical limit of the actuator, and at the same time correcting the control command based on the observer feedback to offset the delay effect. The present invention effectively improves the trajectory tracking accuracy and system robustness through time-varying fuzzy sliding mode control, adaptive observer gain and anti-saturation compensation.

The signal dynamic gain control system provided by this invention constructs an adaptive gain adjustment path through a first operational amplifier circuit and a feedback control circuit. This allows for real-time adjustment of the pre-amplification factor based on the signal strength at the front end of the analog-to-digital converter, avoiding signal overload caused by fixed gain and improving the system's adaptability to dynamic audio input. Furthermore, a comparison circuit composed of a voltage comparator and a programmable reference voltage source enables real-time judgment of high and low level logic signals, facilitating the construction of a control feedback link with a response time in the microsecond range and enhancing the system's protection sensitivity.

A variable gain amplifier for amplifying an input voltage and providing an amplified output voltage includes an input stage including two differential transistor pairs, the input stage coupled to an input of the amplifier. The variable gain amplifier also includes an output stage including a transistor quad and an additional transistor pair, the output stage coupled to an output of the amplifier, the transistor quad including a terminal for receiving a gain control. The variable gain amplifier also includes coupling outputs of the two differential transistor pairs of the input stage to inputs of the transistor quad and additional transistor pair of the output stage to provide a variable gain path and a fixed gain path, respectively. The variable gain amplifier exhibits improved dynamic range of gain variability, lower complexity, and better noise performance.

An equalizer includes a graphic equalizer circuit, a first multiplication circuit, a second multiplication circuit, a summing circuit, and a gain control circuit. The graphic equalizer circuit processes a first input signal and outputs a first output signal and a second output signal. The first multiplication circuit multiplies the first output signal by one of an adjustable gain value and a fixed gain value to produce a first adjusted output signal. The second multiplication circuit multiplies the second output signal by the other of the adjustable gain value and the fixed gain value to produce a second adjusted output signal. The summing circuit combines the first adjusted output signal and the second adjusted output signal to produce an equalizer output signal. The gain control circuit dynamically adjusts the adjustable gain value based on the equalizer output signal.

The invention is suitable for the technical field of automation control, and provides a follow-up control method, device and equipment and a storage medium, the method comprises the steps that the actual height between a machining head and a plate is obtained, and the current error and the error change rate between the actual height and the preset target height are determined; performing fuzzification processing on the current error and the error change rate to obtain an error membership degree and a change rate membership degree; according to a preset fuzzy rule table, performing fuzzy reasoning on the error membership degree and the change rate membership degree to obtain a proportion-integration-differentiation (PID) gain membership degree; performing defuzzification processing on the gain membership degree to obtain a PID gain increment; and carrying out superposition processing on the gain increment and the PID fixed gain to generate an adjusted control signal. According to the follow-up control method provided by the embodiment of the invention, the PID gain can be adaptively adjusted so as to cope with follow-up control under complex working conditions, and overshoot or insufficient follow-up response is avoided.

The utility model discloses a direct current detection circuit of a radio frequency power supply. The direct current detection circuit comprises an isolation voltage module, a reference source module, an isolation operational amplifier module and a differential module, the isolation voltage module is used for isobarically isolating the voltage of the power supply into high-voltage power supply voltage; the reference source module is used for converting the voltage of the power supply through a reference chip and then reducing the voltage to the reference voltage required by the differential module and the ADC through an operational amplifier circuit; the isolation operational amplifier module is used for isolating the voltage of the high-voltage side and outputting the collected voltage in a fixed gain mode. And the differential module is used for receiving the output voltage of the isolation operational amplifier module to form a differential signal to adapt to differential input on the ADC. According to the utility model, high and low voltage complete isolation can be carried out, a post-stage ADC circuit can be protected, differential output is realized, an analog quantity input range of an ADC is easier to match, output of a direct current part is more stable, and stability and purity during output of a radio frequency power supply are ensured.

The application discloses a self-adaptive fiber-optic F-P sensor demodulation device and a working method thereof, a tunable wavelength light source, a photoelectric detector, a low-pass filter, a high-pass fixed gain amplifier, a high-pass continuous variable gain amplifier and a controller. The demodulation device is based on a stable working point method, scans the tunable wavelength light source, detects an interference curve of the F-P sensor, thereby obtaining a phase sensitivity of the F-P sensor, and adjusts the high-pass continuous variable gain amplifier, so that the output analog signal has a determined phase sensitivity relationship. The application has the characteristics that the F-P sensor with inconsistent parameters can be automatically adapted, the output phase sensitivity or vibration displacement sensitivity coefficient is stable, the application is suitable for low-precision and high-precision F-P sensors, has real-time analog signal output, and is convenient for being integrated as a module.

The invention relates to the field of control, in particular to a multi-sensor data fusion slip form construction closed-loop control method and system, and the method comprises the steps: collecting the pressure and displacement data of each jacking fulcrum of a slip form device in real time; calculating a pressure compensation weight coefficient of the absolute value of the sliding mode variable in the previous period through an exponential attenuation function, weighting a pressure mean value and a reference pressure difference, multiplying the weighted pressure mean value and reference pressure difference by a pressure-displacement conversion coefficient to obtain an equivalent displacement compensation amount, adding the two values to obtain a comprehensive deviation, constructing a sliding mode surface function, and calculating the sliding mode variable; calculating a second norm of the time change rate of the pressure data, and determining the actual boundary layer thickness; the sliding mode control law comprises an equivalent part and a switching control part, when the absolute value of a sliding mode variable is larger than the thickness of a boundary layer, switching control is a fixed gain sign function, otherwise, switching control is a proportional term, and a global jacking speed reference instruction is generated; according to the difference value between the real-time pressure of each fulcrum and the pressure mean value, the speed differential adjusting amount is calculated through proportional-integral adjustment, and the speed differential adjusting amount and the global reference instruction are superposed to obtain the jacking speed control instruction of each fulcrum.

This invention belongs to the field of industrial automation control technology, specifically relating to a feeding control method and system for a synthesis reactor. The method includes: real-time acquisition of the reactor's internal temperature; calculation of instantaneous deviation and deviation change rate; deriving a proportional scale and nominal rate based on the base gain and the device's output range; obtaining a nonlinear proportional gain by combining the instantaneous deviation and the proportional scale; determining the phase relationship by combining the instantaneous deviation, deviation change rate, and nominal rate to obtain the integral weight; obtaining a dynamic differential gain by combining the deviation change rate and nominal rate; and combining the three adaptive gains to calculate the proportional, integral, and differential terms respectively, and adding them together to obtain the final control output. This invention solves the temperature overshoot and oscillation problems caused by fixed gain and integral lag in traditional PID control.

The present application relates to the technical field of electric signal detection, and discloses a method and system for detecting electric signals based on neural medium, which comprises the following steps: Step 1, preparing a biomimetic neural medium microelectrode array; Step 2, collecting multi-channel electric signal data through the biomimetic neural medium microelectrode array; Step 3, performing dynamic gain adjustment on the multi-channel electric signal data based on a synaptic plasticity model to generate electric signal data with optimized gain; and Step 4, constructing an adaptive noise suppression function according to the neurotransmitter concentration characteristics. The present application adopts a dynamic gain adjustment scheme simulating neurotransmitters and an adaptive noise suppression scheme based on neurotransmitter concentration, thereby achieving the technical effects of significantly improving signal fidelity and greatly improving anti-interference capability. Compared with the scheme in the prior art which relies on fixed gain amplification and single frequency domain filtering, the present application solves the defects of being unable to dynamically adapt to complex noise environments, serious signal distortion and insufficient noise suppression capability.

The utility model discloses a kind of opto-coupler isolation amplification circuits, including first voltage stabilizing circuit, first amplifier circuit, second amplifier circuit, the input end of first voltage stabilizing circuit is used to obtain input signal, the output end of first voltage stabilizing circuit is connected the input end of first amplifier circuit, the output end of first amplifier circuit is connected the input end of second amplifier circuit, the output end of second amplifier circuit is used to output isolated amplification signal;First amplifier circuit is used to the input signal of first voltage stabilizing circuit output is amplified after opto-coupler isolation according to preset first amplification multiple, obtains first amplification signal;Second amplifier circuit is used to first amplification signal is amplified according to preset second amplification multiple, obtains isolated amplification signal.Solved the isolation chip of special use in traditional isolation circuit, this type of isolation chip has fixed gain multiple, signal isolation after output signal amplitude adjustment circuit is relatively complex, leading to the problem of higher cost of existing isolation circuit.

The application discloses a kind of multi-agent system fault-tolerant control methods under actuator failure, first construct the linear multi-agent system mathematical model of introducing actuator multiplicative fault and additive fault to describe the influence of actuator failure on control input, based on the communication topological relationship of system, construct a consistent error dynamic equation, for describing the change of each agent state error with time, finally design fixed gain fault-tolerant controller based on the multi-agent system mathematical model, realize multi-agent system fault-tolerant control.The method of the application has the advantages of simple controller structure, strong adaptability, low implementation cost, high communication efficiency, etc., can be widely applied to unmanned aerial vehicle formation, robot cooperation, sensor network and other multi-agent system fault-tolerant control scene, has good engineering application value and popularization prospect.

This invention relates to the field of permanent magnet synchronous motor (PMSM) technology, specifically a time-delay control method, system, and medium for PMSLM motors based on adaptive gain dynamics. A dynamic order model of the PMSLM motor position-current dual closed-loop system is established, the position tracking error is defined, and the position error dynamic equation is derived. The desired position tracking error dynamics are designed, and the equivalent control law for time delay is solved based on the equivalent control concept. The system lumped uncertainty is estimated and filtered online using a time delay estimation method, achieving effective compensation for parameter uncertainties, external disturbances, and unmodeled dynamics, resulting in a time delay control law under fixed gain. Adaptive gain dynamics based on Lyapus stability analysis is introduced to achieve online adaptive adjustment of the control gain. This invention realizes servo control and optimization of PMSLM motors based on adaptive gain dynamics, significantly improving the motor's position tracking accuracy, robustness, and adaptability to different operating conditions.

The application provides a wide dynamic range compression method and device based on adaptive noise detection, the wide dynamic range compression method based on adaptive noise detection comprises the following steps: converting an input audio time domain signal into several frame signals in a frequency domain, and dividing each frame signal into several channel signals; if the current frame signal is a speech frame, determining attribute information of the several channel signals corresponding to the current frame signal; when the attribute information of the channel signal is a noise channel, taking a preset fixed gain factor as a gain factor of the channel signal to perform gain adjustment, so as to obtain an adjusted spectrum sequence corresponding to the channel signal; based on the adjusted spectrum sequence, performing channel synthesis on each channel signal, and outputting a time domain speech signal after channel synthesis. The application sets a fixed gain factor for the noise channel, avoids the defect that in the wide dynamic range compression algorithm, the noise is also amplified while the speech is amplified, and improves the speech recognition effect of the hearing aid.

Examples described herein relate to a receiver training method. To configure a static gain for at least one static gain amplifier and a target amplitude for a dynamic gain amplifier, a dynamic gain adjustment is disabled and the dynamic gain amplifier is configured to apply a predetermined fixed gain to the static gain amplified signal to generate a test signal. Furthermore, an effective static gain magnitude for at least one static gain amplifier and an effective amplitude for the test signal are determined based on a link performance metric. The static gain is set to the effective static gain magnitude, and a target amplitude for the dynamic gain amplifier is set to the effective amplitude. Then, the dynamic gain adjustment may be enabled to maintain an amplitude of a dynamic gain amplified signal at an output of the dynamic gain amplifier at the target amplitude by varying the dynamic gain.

The application relates to the technical field of ultrasonic thickness measurement, in particular to a thickness measurement method based on electromagnetic ultrasonic signals. First, an echo signal of a measured object is acquired through an electromagnetic ultrasonic transducer; then, the echo signal is sequentially subjected to fixed gain amplification, primary band pass filtering, adjustable gain amplification and secondary band pass filtering to obtain a filtered signal; subsequently, the signal-to-noise ratio of the filtered signal is calculated, and a corresponding processing strategy is selected according to the signal-to-noise ratio; finally, the initial thickness is calculated according to the peak value interval and the ultrasonic wave speed, the average thickness is obtained after averaging, and the final thickness is obtained through relative standard deviation verification, so that the thickness measurement precision is effectively improved.

The embodiment of the present application provides a kind of power scaling method, wireless communication device and storage medium, belong to power control field.The method comprises: obtaining the current drain current of power amplifier, and obtaining target drain current, wherein target drain current is matched with the target output power of power amplifier to be scaled;According to current drain current and target drain current, the adjustable gain of radio frequency link is adjusted, so that the drain current of power amplifier changes with the adjustment of adjustable gain, and the changed drain current is matched with target drain current;According to target output power and adjusted adjustable gain, the fixed gain of radio frequency link is determined.The technical scheme of the embodiment of the present application does not need external radio frequency instrument, can eliminate the measurement error introduced by environmental factors, reduces the environmental requirements of power scaling.

The embodiment of the invention provides a signal processing method, device and system. The method comprises the following steps: receiving a control signal value at the current moment sent by a controller and an acquisition signal value at the current moment acquired by a sensor; estimating the control signal value according to the acquired signal value at the current moment to obtain a first estimated signal value at the current moment; obtaining an estimated difference value at the current moment according to the control signal value and the first estimated signal value; compensating the control signal value at the current moment according to the gain value of the adjustable gain module, a coefficient of a preset transfer function in the fixed gain compensation module and the estimated difference value to obtain a second estimated signal value at the current moment; and outputting the second estimation signal value at the current moment so as to complete estimation of the control signal value. The estimation complexity can be reduced, and the estimation efficiency can be improved.

The invention provides a digital automatic gain system and a control method thereof. The digital automatic gain system comprises a digital control attenuator, a gain switching circuit and a fixed gain circuit which are sequentially connected in series, the output end of the fixed gain circuit is also provided with a directional coupler, and further comprises a detector and a control unit; the directional coupler couples one path of signal; after the signal is detected by the detector, the result is sent to the control unit; and the control unit assigns the numerical control attenuator and the gain switching circuit according to the detection result of the detector so as to realize the stability of the gain output by the digital automatic gain system. The control method comprises the steps of initial value setting, detection voltage judgment, required attenuation calculation, attenuation setting scheme judgment, attenuator and amplifier state value output and the like. According to the invention, the system and the method for fast automatic gain control in a wide range are realized, and the target gain is accurately set through at most five-step calculation and judgment. The scheme has the advantages of simplicity and reliability.

The invention discloses a self-adaptive optical fiber Fabry-Perot sensor demodulation device and a working method thereof. The self-adaptive optical fiber Fabry-Perot sensor demodulation device comprises an adjustable wavelength light source, a photoelectric detector, a low-pass filter, a high-pass fixed gain amplifier, a high-pass continuous variable gain amplifier and a controller. The demodulation device obtains the phase sensitivity of the Fabry-Perot sensor by scanning the adjustable wavelength light source and detecting the interference curve of the Fabry-Perot sensor on the basis of a stable working point method, and enables an output analog signal to have a determined phase sensitivity relationship by adjusting the high-pass continuous variable gain amplifier. The device can automatically adapt to Fabry-Perot sensors with inconsistent parameters, so that the output phase sensitivity or vibration displacement sensitivity coefficient is stable; the device is suitable for low-fineness and high-fineness Fabry-Perot sensors, and has the characteristics of real-time analog signal output and convenience for being integrated as a module.