53 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 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 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.

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 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 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 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 relates to the technical field of wireless communication and electronic circuits, in particular to a multi-channel receiver and an automatic gain control method, and the control method comprises the steps: obtaining an energy value of a current receiving signal of each receiving channel; calculating a target total gain value required by each receiving channel at the next moment according to the energy value; comparing the target total gain value of each channel with a preset fixed gain value of a low noise amplifier; and controlling the opening or closing state of the low-noise amplifier according to the comparison result, and independently adjusting the gain value of the variable gain amplifier in each receiving channel based on the state of the low-noise amplifier. According to the scheme of the invention, the cost and the size of the multi-channel receiver are effectively reduced, intelligent saturation prevention can be realized, and the stability of signal receiving is effectively improved.

The invention discloses a programmable fluorescence spectrophotometer, relates to the technical field of optical detection and analysis, and aims to solve the technical problems that an existing spectrophotometer is insufficient in wavelength scanning precision, low in detection sensitivity, low in data processing efficiency and difficult to realize automatic control of a complex experimental process. The gain control module is used for realizing high-precision gain control of signals; the phosphorescence and fluorescence test switching circuit is used for switching phosphorescence and fluorescence test modes; the low-noise amplification circuit and the integrating circuit are used for signal noise reduction processing; the analog switch controls circuit switching and is used for controlling on-off of the circuit; and the microcontroller is used for sending a gain gear and a mode switching instruction. The programmable gain amplification circuit and the phosphorescence / fluorescence test switching circuit are integrated, so that the problems of poor signal stability and loud noise caused by fixed gain and extensive switching of a traditional circuit are effectively solved.

The application discloses a current sampling circuit of a power tube, comprising: a sampling resistor connected with the power tube; a voltage amplification circuit comprising a first input end and a second output end connected with two ends of the sampling resistor respectively, the voltage amplification circuit being used for amplifying the voltage between the two ends of the sampling resistor and outputting the amplified voltage through the first output end and the second output end; a feedback output circuit connected with the first output end and the second output end of the voltage amplification circuit, the feedback output circuit outputting a sampling current representing the current flowing through the power tube by making the voltage of the first output end equal to the voltage of the second output end; and a current bias circuit comprising a first resistor, used for providing a bias current to the voltage amplification circuit according to the first resistor, so that the voltage amplification circuit has a fixed gain with high precision and without change with process corner.

This application discloses a current-sensing amplifier circuit and calibration method, including: an input module, a reference voltage module, an amplifier, a feedback module, a first switch, and a second switch; the input module and the first switch are sequentially connected to the non-inverting input terminal of the amplifier; the input module and the second switch are sequentially connected to the inverting input terminal of the amplifier; the input module is used to switch between providing a non-zero detection voltage or a zero detection voltage to the amplifier; the inverting input terminal of the amplifier is also connected to the output terminal of the amplifier through the feedback module; the reference voltage module is connected in parallel with the first switch, and the reference voltage module is used to switch between directly outputting the reference voltage or outputting the reference voltage by voltage division; the feedback module is used to switch between providing unity gain or fixed gain to the amplifier. The embodiments of this application can accurately calibrate the detection voltage.

This disclosure provides an adaptive anti-disturbance sliding mode steering stability control method for unmanned vehicles. Based on the unmanned vehicle's dynamics model, the method assumes zero system disturbance and, combined with a sliding mode function, determines the control law for the unmanned vehicle's yaw moment control quantity. The system disturbance is modeled as a disturbance function containing three disturbance terms: time-invariant disturbance, variable disturbance, and rate-of-change disturbance. Using the disturbance function with adaptive parameters, a reaching law for the unmanned vehicle's yaw moment control quantity is determined. The unmanned vehicle's state variables are collected and substituted into the sliding mode function related to the sideslip angle and yaw rate to obtain sliding mode variables. Based on the sliding mode variables and state variables, the equivalent control quantity is obtained using the control law. Based on the sliding mode variables and state variables, the anti-disturbance compensation quantity is obtained using the reaching law. The total control input is determined based on the equivalent control quantity and the anti-disturbance compensation quantity. This invention overcomes the limitations of fixed gain in traditional sliding mode control and also compensates for complex disturbances in real time through an adaptive mechanism.

The embodiment of the invention relates to the technical field of near field communication, and discloses a decoding optimization method, system and device for near field communication and a medium, the method is applied after signal demodulation and before data decoding, and the method comprises the following steps: determining a starting moment of threshold generation according to a delay parameter of signal demodulation; after threshold generation is started, no-load wave signals of a preset collection point number are obtained, and a no-load wave mean value is calculated; generating a dynamic decoding threshold value based on the no-load wave mean value and a preset decoding coefficient; and the demodulated signals are screened by using the threshold, and only the signals with the amplitude higher than the decoding threshold are transmitted to a data decoding process. Compared with a preamble-dependent automatic gain control or fixed threshold scheme in related technologies, the embodiment of the invention does not need protocol dependence, solves the problems of insufficient sensitivity and noise misjudgment in a fixed gain scene through dynamic adaptation of signal energy change, avoids application limitation in a preamble-free protocol, and improves the accuracy of gain control. And the stability and the anti-interference capability of long-distance communication are obviously improved.

The invention discloses a multi-agent system fault-tolerant control method under actuator faults, which comprises the following steps of: firstly, constructing a linear multi-agent system mathematical model in which multiplicative faults and additive faults of an actuator are introduced to describe the influence of the actuator faults on control input, and constructing a consistency error dynamic equation based on a communication topological relation of the system; and finally, designing a fixed gain fault-tolerant controller on the basis of the mathematical model of the multi-agent system, and realizing fault-tolerant control of the multi-agent system. The method has the advantages of being simple in controller structure, high in adaptability, low in implementation cost, high in communication efficiency and the like, can be widely applied to fault-tolerant control scenes of multi-agent systems such as unmanned aerial vehicle formation, robot cooperation and sensor networks, and has good engineering application value and popularization prospects.

The invention discloses a wireless passive sensing system and method based on adaptive gain. The wireless passive sensing system comprises a reading resonator and two sensing resonators. The read resonator includes a capacitor, an inductor, and a negative resistor. Each of the two sensing resonators comprises a capacitor, an inductor and a resistor. The natural frequencies of the two sensing resonators are kept symmetrically offset relative to the natural frequency of the reading resonator. By adding disturbance to any resistor in the two sensing resonators, a driving system is expanded to EP5, and the sensitivity in the sensing process is improved. Meanwhile, a vector network analyzer or an impedance analyzer is used as a negative resistor, and a zero crossing point of an input impedance imaginary part or a reflection coefficient imaginary part is used as an eigen frequency criterion in frequency scanning, so that a traditional'fixed gain-scattering extreme value 'is converted into a new measurement form of'impedance imaginary part zero crossing point-eigen frequency direct reading'.