775 results about "Negative feedback" patented technology

The invention discloses a fault ride-through hierarchical control method for a network-constructed converter, and the method comprises the steps: introducing a virtual resistor formed by fault current negative feedback into the voltage and current inner loop control of the network-constructed converter based on VSG control through a current inner loop dynamic amplitude limiting control layer after the converter enters a fault ride-through state, the size of the virtual resistor is adjusted in real time along with the amplitude of the fault current so as to carry out dynamic current limiting control on the virtual resistor; and the power outer loop dynamic compensation control layer dynamically adjusts an active power instruction value and a reactive power instruction value of the network construction type converter based on VSG control during the fault ride-through period according to the voltage drop degree of the power grid after the converter enters the fault ride-through state. And respectively performing active-frequency control and reactive-voltage control based on the active power instruction value and the reactive power instruction value. In addition, the method also comprises a state coupling and parameter self-adaption module. According to the method, the GFM converter can have better dynamic performance in the fault recovery stage.

The invention relates to the technical field of robot control, and discloses a mechanical arm trajectory planning control method and system based on a BAFARNN model. The method comprises the steps that a mechanical arm kinematics model is established, and a trajectory tracking problem is converted into a time-varying equation; designing a bounded adaptive function to activate a recurrent neural network model, defining an error function and constructing a dynamic equation; designing a piecewise adaptive coefficient function, and dynamically adjusting the gain according to an error norm and time; setting a Lissajous curve as an expected trajectory, and initializing a simulation environment; the joint speed is solved in real time through an ODE numerical method, and the mechanical arm is driven to move; actual motion data is collected and compared with an instruction, and closed-loop feedback control is triggered when the actual motion data exceed a threshold value. According to the method, rapid convergence is achieved through the piecewise adaptive coefficient function, the bounded activation function and the negative feedback mechanism are adopted to suppress noise, and high-precision and real-time trajectory tracking of the mechanical arm in the dynamic environment is achieved.

The invention provides an outbound routing method and system based on multi-dimensional index coupling and large model decision, and the method comprises the steps: carrying out the preprocessing of the historical data of each line provider, predicting the future performance index through an LSTM neural network, and optimizing the prediction result through a Kalman filter, and eliminating the noise. In the route decision-making link, the system calculates the Q value of each line provider based on the deep Q learning network, comprehensively considers the call completing rate, average cost, negative feedback rate and other factors of each line provider, and intelligently selects the optimal line provider in combination with the user portrait, scene recognition and real-time load state. The system also constructs a complete feedback closed loop, continuously optimizes the model by collecting call result data, and automatically adjusts decision parameters. The call completing rate and the service quality of the outbound service are improved, and the communication cost is reduced.

The invention relates to a product recommendation optimization method based on user portrait dynamic updating, which comprises the following steps: acquiring user behavior sequence data, and analyzing based on behavior consistency indexes including time interval, intention change rate and interest inversion degree; when it is detected that the behavior path has a fault, frequent switching or reverse direction, revoking the update of the path to the user portrait and marking the path as a low credible behavior segment; before user portrait updating is triggered, the portrait mutation risk is judged according to the feature distribution difference between the current behavior and the historical portrait, the behavior uniqueness and the conversion closed loop condition, and when mutation is found, portrait updating is frozen and recorded to a to-be-verified sequence; based on self-consistent state recognition of a historical behavior track, local increment updating is carried out on a staged portrait dimension consistent with a current behavior; and before the recommendation result is generated, performing consistency evaluation on the recommendation target and the user portrait intention, if the alignment degree is lower than a preset threshold value, adjusting or reconstructing the recommendation content, and correcting the deviation label according to continuous negative feedback.

The invention relates to the technical field of industrial valve control, in particular to a floater control-based remote control and monitoring system for a quick-switching blind plate valve, which comprises a data acquisition unit, a cross-dimension data analysis unit and an instruction generation and feedback unit, and is characterized in that the data acquisition unit constructs a three-dimensional motion matrix through a floater trajectory tracking algorithm; an effective pressure fluctuation period is extracted in combination with a pressure-temperature coupling denoising algorithm, a cross-dimension data analysis unit extracts time-frequency fusion features by using a residual convolutional neural network, and dual verification of a fluid phase state is realized through a support vector machine and a dynamic time warping algorithm; and the instruction generation and feedback unit triggers a standard control strategy or a self-learning compensation mechanism according to the confidence coefficient, and corrects control deviation through a negative feedback optimization coefficient matrix, so that the problems of insufficient multi-source data fusion and poor complex working condition adaptability in the traditional technology are solved, accurate remote control and intelligent monitoring of the quick-switching blind plate valve are realized, and the working efficiency of the quick-switching blind plate valve is improved. And the leakage early warning success rate and the valve action reliability are improved.

The invention provides spiral feeder and metering scale integrated equipment for improving feeding precision, and relates to the technical field of metering and feeding of powdery and granular materials. According to the integrated equipment, a frequency converter is additionally arranged on a spiral scale, so that a constant-speed spiral metering scale is changed into a speed-regulating spiral metering scale, a signal separator is introduced to divide a PID negative feedback signal output by an instrument into two paths, the two paths respectively control a frequency converter of a steady-flow spiral feeder and a frequency converter of a metering screw, and meanwhile, a speed measuring sensor is additionally arranged on the spiral scale; and synchronous double-closed-loop control is realized. The spiral scale solves the problems that when an existing spiral scale is used for metering powder, flow is unstable, and arching, jet flow, blocking and the like are prone to occurring, the dynamic deviation can be controlled within 0.5%, the feeding precision and stability are remarkably improved, and the spiral scale is suitable for metering and feeding of powdery and granular materials in the industries of cement, chemical engineering, metallurgy, ceramics, grain, transportation and the like.

The invention discloses a microwave cold noise source fusing TEC temperature control and noise temperature compensation technologies, and belongs to the technical field of microwave radiometer calibration. The device comprises a cold source module, a noise compensation module and a constant-temperature control module, wherein the cold source module generates a low-temperature noise signal through a field-effect tube and a terminal resistor; the noise compensation module detects environment temperature change in real time based on a thermistor and a Wheatstone bridge, drives a noise diode to generate a compensation signal, couples the compensation signal with a cold source noise signal after attenuation, and counteracts noise temperature deviation caused by the environment temperature. The constant temperature control module adopts a platinum resistance sensor and a PID algorithm to control a Peltier element in a closed-loop mode, and accurate adjustment (+ / -0.1 DEG C) is achieved. According to the invention, noise compensation and TEC negative feedback temperature control technologies are combined, so that the noise temperature of the system is stabilized in a range of + / -0.1 K for a long time, the measurement precision and reliability of the microwave radiometer in an outdoor complex environment are remarkably improved, and the method is suitable for scenes of remote sensing detection, unmanned aerial vehicle monitoring and the like.

The invention discloses an ultrahigh-precision low-noise band-gap reference circuit, and relates to the technical field of integrated circuit design, the ultrahigh-precision low-noise band-gap reference circuit comprises a starting turn-off circuit, a reference core circuit, a high-order temperature compensation circuit and a digital trimming circuit, the starting turn-off circuit is connected with the reference core circuit, and the high-order temperature compensation circuit is connected with the digital trimming circuit through a Brokaw type band-gap reference topological structure. Accurate compensation of the voltage is achieved through deep negative feedback of the operational amplifier and a high-order temperature compensation circuit, and the temperature drift of the reference voltage is as low as 0.5-2 ppm / DEG C (-40 DEG C to 130 DEG C) and is increased by 5-10 times compared with a traditional band-gap reference (5-10 ppm / DEG C). The power consumption of the system can be saved by turning off the circuit when the circuit is not used, meanwhile, the digital trimming module is added to replace laser trimming in traditional engineering, the upper limit of the trimming range is improved, high-order temperature compensation and the digital trimming circuit are introduced, the precision of output voltage is improved, different devices are replaced, and the noise of the circuit is reduced. The problems that a traditional high-voltage band-gap reference temperature coefficient is high and noise is large are solved.

The invention relates to the technical field of pulse electric field measurement, and discloses a time drift compensation method of a pulse electric field measurement system based on model parameterization. According to the method, a parameterized model is constructed in simulation software, and the parameterized model is additionally provided with two servo zeroing compensation circuits on the basis of an original measurement system, and the two servo zeroing compensation circuits are connected to the output ends of two in-phase operational amplification circuits respectively to form a negative feedback loop used for dynamically suppressing low-frequency baseline drift; acquiring electric field time domain waveform data of the output end of the third in-phase operational amplifier circuit; calculating a transfer function of a pulsed electric field measurement system in the parameterized model, converting the transfer function from a frequency domain state to a time domain state through inverse Fourier transform, and then performing deconvolution on the transfer function of the time domain state and electric field time domain waveform data to obtain real electric field intensity; according to the invention, time drift caused by operational amplifier input imbalance, power supply fluctuation and temperature change is automatically compensated in real time, and the stability and precision of system measurement are improved.

The present invention discloses a Hadoop cluster task scheduling method based on a positive and negative feedback load scheduling algorithm, which is applied to a Hadoop resource allocation center. The cluster task scheduling method comprises: an idle computing node applies to a management node for a task execution request; the management node receives the task request and queries whether there is a historical record of running the task request; the historical records are compared and analyzed, and if the task configuration meets the resource requirements, the task is calculated in this computing node; otherwise, the computing node is re-matched with a new task request; and computing tasks can be dynamically allocated in cluster task scheduling according to the resource usage of different servers and the differences in server performance, thereby achieving efficient completion of computing tasks and improving CPU and resource utilization efficiency.

The invention relates to the technical field of integrated circuits, in particular to a band-gap reference voltage source circuit with high-order compensation, which comprises a PTAT (proportional to absolute temperature) generation circuit, a high-order compensation circuit and a pre-voltage-stabilizing circuit, wherein the PTAT generation circuit generates PTAT current, and the high-order compensation circuit performs second-order compensation on the PTAT current; the pre-voltage-stabilizing circuit is used for driving the PTAT generation circuit and the high-order compensation circuit and comprises a starting circuit, a positive feedback loop and a negative feedback loop; the gain of the positive feedback loop is lower than that of the negative feedback loop; according to the band-gap reference voltage source circuit, the temperature coefficient and the power supply rejection ratio of the circuit are remarkably optimized by integrating high-order temperature compensation, a pre-adjusting power supply and a high-gain feedback loop, and the designed band-gap reference voltage source circuit has the advantages of being extremely low in temperature drift and high in precision.

The invention discloses an ultra-wideband high-linearity power amplifier with a negative feedback structure. The ultra-wideband high-linearity power amplifier comprises an input matching network, a driving-stage amplifying circuit, an inter-stage matching network, a power-stage amplifying circuit, an output matching network, a negative feedback RLC (Radio Link Control) network and a self-adaptive biasing circuit, an input radio-frequency signal is transmitted to the driving-stage amplification circuit through the input matching network for primary amplification, transmitted to the power-stage amplification circuit through the inter-stage matching network for secondary amplification and output through the output matching network, and the driving-stage amplification circuit comprises a first transistor and a second transistor. The power level amplification circuit comprises a third transistor and a fourth transistor; the self-adaptive bias circuit is used for providing self-adaptive bias voltage for the first transistor and the third transistor; the negative feedback RLC network is used for controlling the gain and bandwidth of the amplifier and comprises a driving-stage negative feedback network and a power-stage negative feedback network. The working bandwidth of the power amplifier can be widened, and the gain, the output power and the linearity of the amplifier can be improved.

The invention discloses a manned aircraft / unmanned aerial vehicle pursuit deep learning control method simulating a pigeon positive and negative feedback mechanism. The method comprises the following steps: step 1, giving mathematical models of a manned aircraft and an unmanned aerial vehicle and performing environment initialization; step 2, building a quaternion PID controller of the unmanned aerial vehicle; 3, a manned aerial vehicle / unmanned aerial vehicle hierarchical decision-making architecture is established; step 4, mathematical modeling of a pigeon positive and negative feedback mechanism; 5, designing a manned aerial vehicle / unmanned aerial vehicle cluster reward function simulating positive and negative feedback of the pigeon flock; 6, planning and designing an escape unmanned aerial vehicle path; step 7, predicting an escape unmanned aerial vehicle path; and 8, generating a manned aerial vehicle / unmanned aerial vehicle cluster pursuit learning strategy based on the actor-commentator network. According to the invention, an efficient, flexible and extensible bionic intelligent pursuit control framework is constructed, and the pursuit task execution efficiency and cooperative combat capability of the manned aerial vehicle / unmanned aerial vehicle heterogeneous cluster in a complex dynamic environment are improved.

The invention relates to the technical field of e-commerce logistics and supply chain management, and discloses a multi-channel e-commerce platform order processing optimization system and method, and the method comprises the steps: correcting physical inventory data through a Lagrange dual variable fed back in a previous period, calculating a virtual inventory, and receiving a discrete order flow; constructing a space-time hypergraph model of the to-be-processed order according to the commodity homogeneous attribute and the spatial neighborhood attribute; performing constraint optimization solution on the hypergraph model based on a Lagrangian relaxation algorithm, and generating an optimal order allocation matrix meeting productivity constraints and a Lagrangian dual variable of a current period; and analyzing the distribution matrix to generate an operation instruction, issuing the operation instruction to the physical warehouse, and feeding back the dual variables to the inventory calculation module. According to the method, collaborative operation benefits are mined through the space-time hypergraph, and a negative feedback closed loop with physical capacity pointing to front-end sales is constructed by using dual variables, so that performance cost optimization and flow adaptive control are realized.

The invention relates to a voltage output method and system based on a high-voltage power supply widening controller, and belongs to the technical field of high-voltage power supplies. The method comprises the following steps: acquiring a wide-range voltage parameter, and dividing a frequency control region and a pulse width modulation control region of a high-voltage power supply through an arbitration control algorithm to obtain switching judgment information of a power supply working region; constructing a working area switching logic according to the resistance-capacitance network, executing the working area switching logic through a frequency pulse correlation algorithm, coordinating the pulse width and the working frequency, and generating a double-modulation execution signal; a closed-loop negative feedback mechanism is established, and a wide-range overvoltage-free voltage regulation and control instruction is obtained by combining a proportional-integral compensation circuit with a resistance measurement full-right control working frequency and a pulse width; and broadening the output voltage range and inhibiting the overshoot voltage through power supply power driving, coordinating the working frequency and the pulse width in combination with the wide-range overvoltage-free voltage regulation and control instruction, and outputting the wide-range voltage of the high-voltage power supply.

The invention discloses an aircraft cluster cooperative control method based on MADRL, and the method comprises the following steps: obtaining an aircraft cluster cooperative task, considering an aircraft simulation environment containing sudden change interference, and constructing an aircraft kinematics and dynamics model according to the task; modeling the aircraft cluster task into a multi-agent Markov decision process to replace a control process based on negative feedback; performing deep reinforcement learning training on the multi-agent cluster system, and generating an accelerator and three-axis rudder deflection control instruction for controlling the aircraft from the current aircraft environment state value; and designing a deep reinforcement learning algorithm based on selective experience playback, and storing an aircraft environment state value and a corresponding accelerator and three-axis rudder deflection control instruction into a playback buffer pool. According to the method, autonomous intelligent decision making in flight of a multi-agent aircraft cluster system in a complex battlefield environment is realized, and robustness, rapidity and universality of aircraft cluster cooperative control are improved by designing a reward function and a joint strategy.

The invention relates to the technical field of data processing, and discloses a signal intra-pulse modulation pattern recognition method and system, and the method comprises the steps: receiving a radar pulse signal; performing short-time Fourier transform on the radar pulse signal; in the time-frequency matrix, calculating an energy distribution gradient of each time point along a frequency axis; according to the energy distribution gradient of each time point, identifying gradient abrupt change points; determining a filtering bandwidth boundary based on the gradient catastrophe point by adopting a negative feedback regulation mechanism of bandwidth and signal-to-noise ratio; based on the filtering bandwidth boundary, performing bandwidth filtering on the radar pulse signal; calculating an instantaneous frequency, a first-order differential frequency and a second-order differential frequency of the filtered signal through Hilbert transform, and forming a feature vector; predicting a cluster number range through a long and short term memory neural network according to the feature vectors; according to the feature vector, through a K-Means clustering algorithm, carrying out clustering analysis in a clustering number range; and outputting a modulation style label according to a clustering analysis result.

The invention provides a photovoltaic inverter common-mode resonance suppression method and device and a storage medium. The method comprises the steps of obtaining resonance current data of a common-mode loop; determining a differential negative feedback control strategy of a common-mode loop based on the resonance current data and preset common-mode current data; determining a harmonic control strategy of the system according to the first voltage data of the DC unit and the second voltage data of the power grid; determining a pulse width modulation strategy of the system based on a differential negative feedback control strategy and / or a harmonic control strategy so as to suppress common-mode resonance generated during voltage fluctuation; according to the method, the problems of current oscillation and inverter damage caused by common-mode resonance are effectively solved by obtaining the common-mode loop resonance current data and adopting the differential negative feedback control strategy to suppress resonance frequency point oscillation, combining the harmonic control strategy to eliminate the alternating current component, and finally dynamically adjusting the pulse width modulation strategy; the method has the advantage of improving the stability and safety of the system.

The invention discloses a distributed photovoltaic hierarchical coordination control method based on a micro-grid architecture, and relates to the technical field of distributed photovoltaic control, a three-layer architecture of an equipment layer, a micro-grid layer and an area layer is taken as a core, and the equipment layer realizes MPPT control by an improved perturbation and observation method and adjusts reactive power according to a target power factor; the micro-grid layer uses model prediction control to optimize power distribution, and controls energy storage charging and discharging by means of a state machine strategy; the regional layer overall plans coordination of multiple microgrids through a multi-objective optimization function and a Lagrange dual decomposition algorithm, improves decision precision in combination with combined load prediction, realizes inter-layer information synchronization by relying on a distributed consistency algorithm, constructs a multi-level fault detection and hierarchical self-healing mechanism to guarantee operation, maintains voltage stability through hierarchical voltage control, and achieves multi-level fault detection and hierarchical self-healing. Optimal control parameters are output through economic and environment-friendly optimization, a closed loop is formed through negative feedback adjustment, robust model predictive control is matched to deal with uncertainty, and reliable operation of the system is ensured.

The invention discloses a ClassAB output stage bias structure based on a negative feedback loop, which belongs to the technical field of integrated circuit design and comprises a ClassAB output stage structure and a negative feedback loop floating current source structure. The ClassAB output stage structure is used for realizing the rail-to-rail output performance of the operational amplifier, and the negative feedback loop floating current source structure is used for determining the static bias current of the ClassAB output stage structure; the negative feedback loop floating current source structure comprises a floating current source structure, a static bias structure, a loop bias structure, a current reference structure and a state conversion structure. According to the invention, static bias is carried out on the ClassAB output stage through a negative feedback loop, the bias precision and good temperature drift resistance are ensured, and the problems of static bias point error, drift and the like caused by the fact that the output stage of the rail-to-rail, low-power-consumption and zero-drift operational amplifier applies traditional linear transconductance ring bias are solved.

The invention relates to the technical field of electric digital data processing, and discloses a data processing system for message management, which comprises a look-ahead buffer unit for maintaining a sliding window with variable window size parameters and pre-reading a message sequence; the mapping logic circuit is used for converting the resource identifier into a resource request mask; the state register is used for storing a global occupancy bitmap for representing resource occupancy; the scheduling controller is used for distributing messages according to bit operation results, counting bitmap setting quantity based on the population counting instruction to generate a resource saturation index, and then adjusting window size parameters in a negative feedback mode. The resource contention entropy value is directly sensed by utilizing a hardware instruction, nanosecond-level self-adaptive breathing control of a scheduling window is realized, and the service life of the scheduling window is prolonged. The problem of physical computing power collapse caused by bitmap scanning jitter in a high-concurrency scene is solved.

The invention discloses a high-linearity medium-power amplifier based on cascode RC negative feedback and a composite matching network. The high-linearity medium-power amplifier comprises a common-source transistor M1, a common-gate transistor M2, a single power supply VDD with an active bias circuit, an input matching network, an output matching network and a negative feedback loop, the input matching network comprises an inductor Lb and an inductor Lg, the output skin matching network comprises an inductor Ld1 and an inductor Ld2, and the negative feedback loop comprises a resistor Rf and a capacitor Cf; the source electrode of the common source transistor M1 is connected with the drain electrode of the common gate transistor M2, one side of the active bias circuit is connected to the grid electrode of the common source transistor M1 through the inductor Lb and the inductor Lg in sequence, the common end of the inductor Lb and the inductor Lg is connected with the input end, and the resistor Rf and the capacitor Cf are connected in series and connected between the grid electrode of the common source transistor M1 and the output end. One side of the inductor Ld2 is connected with the source electrode of the common-gate transistor M2, the other side of the inductor Ld2 is connected with one side of the inductor Ld1, the other side of the inductor Ld1 is connected with the single power supply VDD, and the common end of the inductor Ld1 and the inductor Ld2 is connected with the capacitor Cf and the output end; the method is suitable for radar and communication systems in industrial application, and has important significance for developing high-performance, low-cost and high-integration-level multifunctional chips.

The invention provides a self-adaptive ripple suppression circuit based on an MOSFET, and relates to the technical field of electronic circuits. The circuit comprises an input alternating current end EMC filtering surge protection circuit, a rectification circuit, an absorption protection filtering circuit, a clamping absorption circuit, a detection protection circuit, a control circuit, a power follow current circuit, an output filtering circuit, a stroboflash removing circuit and an LED load circuit which are connected in sequence. Under the condition that the MOSFET self-adaptive ripple suppression circuit is in a working state, voltage at the two ends of the sampling resistor is fed back to a grid electrode and a source electrode of the MOS tube, on-resistance of the MOS tube is adjusted through change of the sampling voltage on the basis of the characteristic that the MOS tube works in a variable resistance area, and output current ripples are dynamically suppressed. The circuit has excellent adaptive capacity, can dynamically suppress output current ripples in a wide load range through a simple simulation negative feedback loop, and is quick in response.

The invention discloses a control mode smooth switching method for a multi-port flexible multi-state switch, and the method comprises the steps: carrying out the Udc-Q control of any port of the flexible multi-state switch during grid-connected operation, and carrying out the PQ control of other ports; when a certain port is off-grid due to a feeder line fault, smoothly switching to a VSG control mode through state tracking control, and providing voltage and frequency support for a power-losing area; after the fault is cleared, the voltage amplitude, the phase and the frequency of the VSG are synchronized with a power grid through synchronous control, smooth grid connection is achieved, any port of the flexible multi-state switch comprises a grid-connected controller and an off-grid controller, Udc-Q control and PQ control in the grid-connected controller share a current loop and a reactive loop, and the switching complexity is reduced; the off-network controller adopts VSG control; in the state tracking control, the state tracking quantity is introduced into the inputs of different controllers in a negative feedback form, so that the bidirectional tracking of the output states of the controllers is realized. According to the invention, the cooperative control of the multi-port flexible multi-state switch and the smooth switching of any port control mode can be realized, and the transient impact at the switching moment is reduced.

The invention discloses a high-linearity low-noise amplifier based on harmonic suppression, relates to the field of communication and the technical field of electronic devices, and is used for solving the problem that the noise coefficient of an existing Darlington structure is large. Comprising a noise matching and input matching network, a linearity enhancement structure, a negative feedback structure and a pre-distortion structure. Wherein the linearity enhancement structure at least comprises a first amplification transistor and a second amplification transistor which are arranged in parallel, and is used for improving the linearity of the circuit through harmonic cancellation; the negative feedback structure is connected with the noise matching and input matching network and the pre-distortion structure and is used for expanding circuit bandwidth and optimizing output matching; the pre-distortion structure is used for stabilizing the bias voltage of the third amplification transistor. According to the invention, the linearity of the whole circuit is effectively improved, and the source microstrip lines of the two circuits are utilized to improve the minimum noise matching and improve the noise performance. Noise is reduced, linearity is improved, low-frequency gain is suppressed, and bandwidth of the whole circuit is improved.

The invention discloses a high-side driving circuit and a vehicle body controller. The high-side driving circuit relates to the field of vehicle body controllers, and solves the problem that the existing high-side driving circuit cannot meet the requirements of low cost and high reliability. The switching circuit adopts a combined structure of switching tubes and is connected in series between a power supply and a load, and more stable on-off control is realized through cooperation of multiple tubes; the starting threshold circuit responds to an external control signal only when the load impedance meets a preset threshold value, and large-current load driving in the starting stage or forced starting during load abnormity is carried out. The over-current threshold circuit is connected in series with a driving loop of the switching circuit and provides constant over-current turn-off. A voltage negative feedback circuit is introduced into the voltage and potential stabilizing module to realize self-turn-off and keep a turn-off state when overcurrent and short circuit occur, and self-recovery is realized after a fault disappears without depending on logic judgment of an external control unit. The port protection module absorbs the instantaneous high voltage and the surge current. Through the characteristics, the current-carrying capability of the triode is improved, and the application range of the triode switching circuit is widened.

The invention provides a wireless mouse low-power-consumption intelligent optimization method based on deep learning, and the method comprises the steps: achieving the real-time collection of the operation state data of a wireless mouse through a multi-sensor fusion technology, building a power consumption prediction model based on a long and short-term memory network, so as to learn the time sequence relation between the user behavior and the mouse power consumption change, based on a prediction result, an intelligent power consumption control strategy optimization model is constructed, an optimal power consumption control strategy is generated through a strategy iterative optimization method in combination with parameter configuration of power management, clock gating, sensor sampling and the like, power consumption control parameters are analyzed, and a control instruction is generated. The CPU dominant frequency of the mouse, the voltage of a power management unit, the sampling rate of a sensor and a peripheral working mode are dynamically adjusted, and a power consumption control strategy is optimized by adopting a negative feedback mechanism. According to the wireless mouse, the energy consumption of the wireless mouse can be effectively reduced, meanwhile, the operation smoothness is guaranteed, and the cruising ability and the user experience are improved.

The invention relates to the technical field of conversion circuits, and provides a converter drift suppression front-end circuit and a drift suppression method, and the circuit comprises a first signal processing circuit and a second signal processing circuit which are symmetrically distributed, and a high-frequency path and a low-frequency path which are arranged between the first signal processing circuit and the second signal processing circuit; wherein a normal-phase input signal forms a first node signal after passing through the first signal processing circuit, and a reverse-phase input signal corresponding to the normal-phase input signal forms a second node signal after passing through the second signal processing circuit; the first node signal and the second node signal are respectively input into a normal-phase input end and an inverted-phase input end of a converter CTLE through the high-frequency path or the low-frequency path; and the low-frequency path comprises a fully differential amplifier with resistance proportion negative feedback. According to the invention, baseline drift can be effectively suppressed, so that the stability of converter receiving end signals is improved.

The invention discloses an intelligent control system and method for an active fire extinguishing device of a high-voltage switch cabinet, and the system comprises the steps: collecting multi-source heterogeneous environmental parameters in the cabinet, carrying out the LoRa wireless transmission, introducing a dynamic thermal drift compensation mechanism based on an Arrhenius model, and carrying out the zero drift correction and sensitivity dual compensation of the original data of a sensor. A high-fidelity physical monitoring value is reconstructed through high-order polynomial nonlinear mapping, and the risk of false alarm and missing alarm caused by thermal-sensitive coupling is eliminated. After a fire hazard is recognized, the block type fire extinguishing device is excited in a linkage mode, inert gas and free radical groups are instantaneously released through an oxidation-reduction reaction to conduct total flooding type suppression, negative feedback adjustment and automatic termination of the reaction rate are achieved according to the environment temperature change, and therefore accurate early warning is ensured, and meanwhile the safety of the fire hazard is improved. Efficient blocking and reset safety protection of live-line fire disasters are realized.

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