284 results about "Transient response" patented technology

The invention discloses a real-time computing system resource coordination and decision engine system based on a large language model. According to the system, a large language model is innovatively used as a central strategic decision engine, and a'decision-coordination-execution 'three-layer architecture is constructed. According to the system, macroscopic strategy generation and microscopic real-time control are decoupled by introducing a hierarchical decision-making mechanism (a strategic layer, a tactical layer and an execution layer), so that the core contradiction between LLM high reasoning delay and the microsecond / millisecond-level real-time requirement of the system is effectively solved, and the method is suitable for local computing equipment and a cloud data center. The system comprises a predictive strategy preloading system, and transient response can be achieved. Meanwhile, the system adopts an asynchronous event-driven decision-making mechanism for continuous intelligent optimization. According to the method, the top-down, semantic understanding-based and global collaborative intelligent management of the computing resources is realized, and the resource utilization efficiency, the system automation degree and the overall energy efficiency in a complex and dynamic computing environment are remarkably improved.

The invention discloses an energy storage system state evolution trend prediction method based on multi-source data fusion. The method comprises the steps of terminal voltage, current and temperature time sequence data acquisition, time sequence segmentation normalization, multi-physics field coupling feature construction, trend prediction model construction and training and energy storage system state evolution trend prediction. According to the method, the distinguishing capacity of the model for charging and discharging physical characteristics is improved, meanwhile, the voltage change rate, the multi-dimensional feature vector of the differential internal resistance and the thermal-electric coupling effect and the explicit encoding electric-thermal-resistance coupling relation are constructed, the transient response and the temperature hysteresis effect can be effectively captured, and then the model can be used for analyzing the charging and discharging physical characteristics. A degradation-aware cross-cycle feature extraction and gating mechanism is adopted, short-term fluctuation and long-term trend are adaptively balanced in multi-scale prediction, the prediction conflict problem is relieved, finally, physical constraints based on the electrochemical law and the internal resistance temperature characteristic are embedded in a loss function, it is ensured that the prediction result is accurate in numerical value and conforms to the physical law, and the prediction accuracy is improved. And generation of physically impossible solutions is avoided.

The invention relates to the technical field of petroleum drilling engineering, and particularly discloses an analysis and prediction system based on petroleum drilling and production data, which realizes virtual reconstruction of a physical drilling system by constructing a digital mapping body, and adopts a multi-source sensor network to collect drill string vortex frequency and wellbore temperature field gradient data. Forming a time sequence feature set through time sequence alignment and fusion processing; performing differential transformation and modal decomposition on the feature set to extract transient response feature vectors and generate a risk distribution diagram; establishing a parameter-risk correlation model, and decoupling mechanical vibration and thermal stress interference by solving a physical equation to obtain a dynamic risk index; the risk indexes and the process parameters are mapped to a three-dimensional grid to construct a multi-dimensional feature space, a feature fusion grid is adopted to achieve information aggregation and reconstruction, and comprehensive risk assessment indexes are generated; a dynamic early warning threshold value is established according to the evaluation indexes, and drilling parameters are optimized in real time through closed-loop control.

The invention provides a line loss reason analysis and positioning method and system based on artificial intelligence and a medium, and relates to the technical field of power system management.The method comprises the steps that when the bus loss rate of a target station area exceeds a preset line loss threshold value, an excitation sequence is issued to a general meter, a circuit breaker and a user electricity meter of the target station area, respectively obtaining corresponding transient response data, and further constructing a dynamic topological graph of the target transformer area; and a topological structure is optimized by combining a graph neural network and an attention mechanism, and abnormal connection points are detected. And determining downstream associated user electric meters, and calculating the power utilization abnormity score based on the load data. And injecting a steep front traveling wave signal into the electric meter with the highest score to obtain a reflection characteristic parameter. And performing iterative analysis by using a Double DQN reinforcement learning algorithm, determining a fault point, a line loss reason type and confidence, and realizing efficient and accurate line loss reason positioning and analysis. According to the invention, efficient and accurate troubleshooting of line loss reasons is realized.

The invention discloses an equipment health state operation and maintenance method based on multi-channel perception, and relates to the technical field of equipment health monitoring, and the method comprises the steps: collecting the perception data of equipment in a steady-state operation stage and a dynamic working condition transition stage; according to the method, time domain segmentation marking is carried out on sensing data of a dynamic working condition transition section, transient response parameters and parameter change rate characteristics of all segments are extracted, a dynamic working condition characteristic library is established, early degradation signs are found by identifying the consistent trend of parameter slow change characteristics and interval shrinkage, and self-adaptive operation and maintenance of the equipment health state are achieved.

The invention discloses an unattended power distribution room intensive power distribution system and method based on machine learning, and the method comprises the steps: collecting the operation data of an unattended power distribution room, executing the preprocessing, and generating a standardized input data set; constructing a topology, working condition and equipment feature association relationship to form a three-dimensional coupling feature structure; inputting a hierarchical graph time sequence decision network, and fusing topology and time sequence characteristics to output candidate control actions; constructing a dynamic feasible region according to the joint features, and screening a safety action set meeting constraints; inputting into a topological reversible neural differential control module, predicting transient response and optimizing an execution action; and issuing a control instruction, collecting feedback, and triggering model increment update to realize closed-loop optimization. According to the invention, by introducing a hierarchical graph time sequence decision network and a topological reversible neural differential control mechanism, intelligent intensive scheduling and self-learning closed-loop optimization control of the unattended power distribution room are realized.

The invention discloses a physical constraint multi-scale deep learning battery SOC estimation method and device and a medium. The method comprises the following steps: performing multi-scale time sequence feature extraction by using multi-branch separable convolution, and modeling fast transient response and long-term trend dynamics; a cross-scale feature enhancement strategy is configured, the problems of feature redundancy and network degradation in the multi-branch fusion process are solved, and cross-scale integration is achieved in combination with a dimension self-adaptive residual path and a channel attention mechanism; a physical information constraint module is embedded, soft charging and discharging constraint, zero-current constraint and hard SOC boundary constraint are fused, dynamic consistency and physical reasonability are ensured, multi-scale feature representation and physical information constraint are combined, the model generalization ability and field consistency are remarkably enhanced, SOC estimation precision is improved, and the method is suitable for large-scale SOC estimation. And a reliable solution is provided for a battery management system.

The invention provides a peak prediction method and system for fault current, and the method comprises the steps: obtaining a target current change rate of a power grid when the power grid breaks down, constructing a DC component and an AC component of the fault current based on the target current change rate and a preset trapezoidal integral algorithm, and carrying out the prediction of the peak value of the fault current; when the target current change rate meets the triggering condition of the all-phase composite triggering module, controlling the analog-to-digital converter to be switched from the first sampling frequency to a second sampling frequency, and collecting at least two pieces of sampling data based on the second sampling frequency; and performing parameter fitting processing on the at least two pieces of sampling data to obtain transient model parameters of the fault current, and performing peak prediction on the fault current by using the direct-current component, the alternating-current component and the transient model parameters to obtain a peak value of the fault current. Dynamic switching of the sampling frequency is realized through the all-phase composite trigger module, and a trapezoidal integral algorithm and a parameter fitting technology are combined, so that the transient response speed is effectively improved, a trigger blind area is eliminated, and the prediction precision is improved.

The invention discloses a power distribution network small current grounding fault diagnosis positioning method and system based on edge calculation, and belongs to the field of power system automation, and the method comprises the steps: extracting and recognizing transient features, if a suspected grounding fault is detected, carrying out the multi-source feature fusion analysis through a regional main node, and constructing a transient response time sequence map; a weighted fuzzy clustering algorithm is combined with a multi-channel criterion to determine a fault channel, and a specific fault branch is further positioned through a topology tracking algorithm; introducing a multi-scale wavelet packet energy analysis method into the regional main node, performing energy inversion calculation on the transient current signal under multiple frequency bands, and identifying an energy concentration region near the grounding point through an energy distribution gradient; and constructing a robustness data redundancy model based on the historical data of the edge nodes and the topological relation, and identifying and eliminating abnormal feature data containing noise or distortion. According to the method, transient characteristics are rapidly extracted and preliminary judgment is made after a fault occurs, so that the real-time performance of fault response is greatly improved.

The present application relates to power management technical field, especially to a kind of transient response optimization method based on linear voltage regulator, method includes: obtaining the transient response data of linear voltage regulator when load mutation, judge whether into transient early warning state.If into early warning state, high-frequency noise threshold segmentation is carried out to output voltage waveform, extract voltage rate of change characteristic, construct compensation efficiency model based on dynamic response time and effective compensation bandwidth, calculate optimal open-loop compensation coefficient, and generate compensation control instruction, drive compensation network to carry out dynamic compensation.If not into early warning state, the ripple uniformity data of output voltage is obtained, determine the deviation matrix of actual ripple distribution surface and ideal ripple distribution plane, judge whether there is local ripple abnormal area.The method improves the transient response speed and stability of linear voltage regulator by dynamic monitoring and intelligent compensation, optimizes high-frequency noise processing and ripple uniformity.

The invention discloses a load storage charging and discharging integrated power grid stability simulation analysis method and system, and belongs to the technical field of simulation analysis, and the method comprises the steps: obtaining power grid operation data and resource state data; constructing a load storage charging and discharging resource unified equivalent model containing self-adaptive virtual inertia and self-adaptive transient damping; power grid transient stability simulation is executed, and transient response data are generated; processing the response data, and calculating to obtain a multi-dimensional transient stability comprehensive index fusing the oscillation damping ratio and the voltage deviation integral; and iteratively adjusting the virtual inertia and the transient damping parameter according to the comprehensive index until an optimization condition is met, and generating an optimization control strategy. According to the method, the load storage charging and discharging heterogeneous resources are aggregated into the unified equivalent model, parameter optimization is guided through the transient stability comprehensive index, the grid-connected stability of the high-permeability power electronic equipment can be accurately evaluated and optimized, and the transient reliability and operation safety of a power grid when the power grid is subjected to fault disturbance are improved.

The invention relates to the technical field of battery management, in particular to an electric vehicle battery detection system and method, and the system comprises a rhythm recognition module, an offset analysis module, an excitation feature extraction module, an evolution trend judgment module and a classification output module. According to the method, early recognition of potential anomalies is achieved by capturing the fine difference of the temperature response time sequence between the adjacent battery cells, transient interference can be effectively filtered out by tracking the difference in a cross-cycle mode and continuously comparing the difference with the response track of the surrounding normal battery cells, the abnormal battery cells with consistency deviation can be accurately locked, and on the basis, the abnormal battery cells with consistency deviation can be accurately recognized. A comprehensive decline quantitative index is constructed by evaluating changes of multi-dimensional transient response parameters such as temperature, voltage and impedance under a specific discharge working condition relative to a historical reference, and then stability and continuity of a current decline trend can be judged by utilizing long-term memorability analysis of a temperature evolution sequence.

The invention discloses a load transient detection circuit of a COT Buck, a corresponding COT Buck and a switching power supply. The load transient detection circuit comprises an input end, three resistors connected in series, two comparators and a switched capacitor sampling hold circuit, wherein the input end is grounded after passing through the three resistors in sequence. A node between the input end and the first resistor and a node between the second resistor and the third resistor are connected to the input ends of the first comparator and the second comparator through a switched capacitor sampling hold circuit structure. Valley voltage information and peak voltage information of inductive current are obtained through the switched capacitor sampling hold circuit, whether a load is transiently changed or not is judged by comparing inductive current ripples with a valley value and a peak value, and it is guaranteed that the switching power supply has appropriate transient detection trigger threshold voltage under any load. According to an output signal of the load transient detection circuit, the COT Buck can increase the turn-on or turn-off time so as to enhance the transient response speed.

The invention belongs to the technical field of VSG network construction active support, and particularly discloses a transient support power coordination control method and system for a network construction type optical storage system, and the method comprises the steps: building an equivalent mathematical model of the network construction type optical storage system, and obtaining key control parameters of a virtual synchronous generator control link of the optical storage system based on the equivalent mathematical model; constructing an internal energy flow characteristic analysis model of the network construction type optical storage system based on key control parameters of a control link of the virtual synchronous generator, and further obtaining a core defect of passive participation of energy storage in transient response; and based on the core defects, designing an energy storage driving control strategy based on VSG transient response power decomposition to control an energy storage subsystem to charge and discharge, and completing transient support power coordination control of the network construction type optical storage system. The problems that in the prior art, due to the fact that energy storage passively participates in frequency modulation, response timeliness and accuracy are insufficient, and due to the fact that VSG transient control complexity is high, large-scale engineering application adaptability is poor are solved.

The invention belongs to the field of wind power, and discloses a floating wind turbine generator thrust constraint robust adaptive pitch control method, which comprises the following steps: establishing a floating wind turbine generator nonlinear model considering coupling between rotor rotation dynamics and platform pitching motion; setting a control target based on comprehensive consideration of power adjustment, platform stability and limit load constraint; designing a self-adaptive propeller pitch control method based on a fast self-adaptive law; and designing a thrust envelope protection system based on thrust limit detection and a self-adaptive thrust avoidance strategy, and integrating the thrust envelope protection system into the self-adaptive pitch control method, so that the wind turbine generator can operate within an allowable thrust range. The self-adaptive propeller pitch control method can achieve efficient power adjustment and platform pitching motion suppression at the same time, is superior to a traditional method in the aspects of transient response and robustness, and is particularly suitable for the severe marine environment.

The invention provides a ship lock metal structure safety detection and evaluation standardization system and method, and relates to the technical field of ship lock engineering safety detection. A distributed intelligent sensing module is obtained, and multi-dimensional dynamic parameters of a ship lock metal structure are collected through the distributed intelligent sensing module; the computer sends a starting instruction to the distributed intelligent sensing module through a preset sensor control program, receives and stores dynamic parameters returned by each sensor in real time, and establishes a timestamp index. Compared with the prior art, the method has the following beneficial effects: by integrating multi-dimensional dynamic parameters such as vibration acceleration, temperature gradient, corrosion current density and the like, the state change of the ship lock metal structure under dynamic load and severe environment can be comprehensively captured, and the sampling frequency is automatically adjusted in combination with a trigger type sampling mechanism; therefore, the transient response under the sudden load is effectively captured, early damage missed judgment caused by only monitoring static parameters is avoided, and the actual safety condition of the structure is reflected more truly.

The application relates to the technical field of motor control, and discloses a low-voltage motor based on segmented threshold PWM control, which comprises a motor shell, a motor tail cover arranged at the tail of the motor shell, a control circuit board arranged at the middle of the motor tail cover, a device assembly arranged on the surface of the control circuit board, wherein the device assembly comprises a microcontroller arranged on the surface of the control circuit board, the microcontroller is internally provided with a control system, and the device assembly further comprises a PWM signal input unit, a power input and filtering unit, a voltage reduction and stabilization unit, a reverse electromotive force and voltage sampling unit, a motor power driving unit, a current sampling unit and a temperature detection unit arranged on the surface of the control circuit board. The application utilizes segmented threshold control, closed-loop speed regulation architecture and dynamic threshold reconstruction logic to realize shielding of instruction jitter and accurate speed regulation, and the current determination boundary is reconstructed in real time through the speed deviation and the running state, so that the transient response capability of the motor and the hardware safety and reliability under all working conditions are considered.

The invention discloses a liquid cooling cluster CDU performance test method and system, and relates to the technical field of liquid cooling system tests.The liquid cooling cluster CDU performance test method and system are characterized in that a control signal is generated by obtaining a test working condition instruction to simulate load, environment and cooling liquid changes, and operation parameters are collected for synchronous processing and analysis; the problem that dynamic complex working conditions cannot be truly simulated in the prior art is solved, the full-working-condition environment can be truly simulated, synchronous collection and analysis of multi-dimensional data are achieved, transient response characteristics and potential faults of the CDU are accurately captured, and the authenticity and reliability of performance testing of the liquid cooling cluster CDU are improved.

The invention discloses a high-temperature superconducting cable equivalent analysis method, a high-temperature superconducting cable equivalent analysis system, a medium and electronic equipment, and relates to the technical field of power devices and superconducting power transmission. Constructing a first equivalent circuit model based on the structural characteristic parameter set, and performing cross generality screening on the material parameters by adopting a multi-factor influence separation method to obtain a first equivalent parameter set; constructing a first coupling model based on the first equivalent parameter set, and applying disturbance signals of different frequencies to perform fault simulation to obtain a working condition equivalent model; extracting transient response data based on the working condition equivalent model, and identifying transient quenching response characteristics of the high-temperature superconducting cable based on the transient response data; according to the method, a multi-objective optimization function is constructed based on transient quench response characteristics, control parameters are optimized by adopting an NSGA-III algorithm, an optimal control strategy is obtained, and the problems of high quench expansion risk and difficulty in timely regulation and control of the high-temperature superconducting cable under a transient fault are solved.

The invention provides a multi-agent reinforcement learning optimization method of an analog circuit and a related device. The method comprises the following steps: setting an ideal performance parameter group of the analog circuit; clustering the components according to the transient current curves of the components to obtain a plurality of component groups; configuring an intelligent agent for each component group, and enabling the intelligent agent to output a circuit parameter value according to the ideal performance parameter group; applying the circuit parameter value to a simulation circuit for simulation to obtain a simulation circuit performance value; updating the intelligent agent according to the simulation circuit performance value and a preset target performance value to obtain a target intelligent agent; the elements are clustered by analyzing the actual current characteristics of the circuit under transient response, so that the elements with similar functions are divided to the same agent, thereby breaking the limitation of a physical module, realizing parameter decoupling and collaborative optimization, and improving the convergence efficiency.

The present disclosure relates to a switching converter and its control circuit. The control circuit includes an error amplifier, a transient-response compensation circuit and a PWM comparator. The transient-response compensation circuit is coupled to an output terminal of the error amplifier for increasing a differential current of the error amplifier to increase the rate of output change of the error amplifier in a case that a voltage difference between the first feedback signal and the reference voltage exceeds a predetermined threshold. The output voltage can be prevented from having too high or too low fluctuations when a load changes, thereby improving transient response characteristics of the power converter, and optimizing dynamic characteristics of the power converter over a wide range of the fluctuation of the load in a continuous operation mode.

The application provides a physical unclonable sequence generation method and system based on static memory, relates to the technical field of information security, and comprises the following steps: applying a pulse voltage stress to a storage unit and collecting a transient response signal as a physical fingerprint feature; performing multi-scale decomposition on a feature parameter matrix and dividing the feature parameter matrix into a bimodal distribution to generate a bit sequence; constructing a cyclic trigger chain to generate a disturbance sequence to enhance randomness; and constructing a physical unclonable sequence by using a fractal dimension segmentation algorithm and local entropy value adaptive crossover recombination. The application can effectively improve the randomness, uniqueness and attack resistance of the sequence and enhance the information security protection capability.

The invention provides a general gasoline engine carburetor with an intelligent mixing ratio control function, and relates to the technical field of general gasoline engine carburetors. An air disturbance compensation mechanism is arranged in an air inlet channel of the carburetor, and the initial frequency and amplitude of air disturbance are determined by detecting an instantaneous negative pressure signal of the air inlet channel; a reference aerodynamic disturbance model is established according to the current rotating speed of an engine, gas pressure signals are collected in real time through differential pressure sensors arranged on the upstream portion and the downstream portion of an air inlet channel, and the instantaneous gas density change rate is calculated so that the concentration trend of mixed gas can be obtained. The problem that dynamic response of the mixing ratio of an existing carburetor is lagged is effectively solved, when the acceleration of a throttle valve exceeds a threshold value, the system immediately triggers fuel oil to compensate in advance, the angle of a spoiler is adjusted in real time along with the rotating speed, atomization uniformity is remarkably improved, the phenomena of acceleration power interruption and tempering are avoided, and stable combustion and transient response under all working conditions are achieved.

The invention provides a non-contact power supply-based magnetic suspension rotor wireless energy transmission method and system, and relates to the technical field of non-contact power supply, and the method comprises the steps: carrying out the motion state vector reconstruction of a magnetic suspension rotor, and outputting a pose priority weight vector; setting a data acquisition scheduling strategy; receiving a six-degree-of-freedom native state set; after load impedance transient response data are received, the real-time pose of the rotor is reconstructed and output; fitting the instantaneous optimal frequency and the current waveform phase compensation amount of the resonant cavity; loading to an adaptive power mapping model, and predicting a power demand change trend; and dynamically tuning output parameters of the high-frequency inverter, and performing coupling efficiency offset compensation. The technical problem that the performance of a whole magnetic suspension system is affected due to the fact that a wireless energy transmission method in the prior art depends on static frequency and current waveform setting and is difficult to adapt to the rapidly changing motion state and load requirement of a magnetic suspension rotor in real time is solved.

The application provides a power distribution line fault positioning method and system. Transient current traveling wave signals of each monitoring section of a power distribution line and measurement data of a doubly-fed wind turbine are collected when a fault occurs. Equivalent inductance analysis is performed on the doubly-fed wind turbine based on the measurement data to obtain a dominant characteristic frequency band. A plurality of transient signal characteristic quantities are determined according to the dominant characteristic frequency band and the transient current traveling wave signals. The energy distribution of the transient current is determined according to all the transient signal characteristic quantities. The transient energy of each monitoring section of the power distribution line is evaluated according to the energy distribution to obtain the distribution difference of each monitoring section. When the distribution difference of any monitoring section exceeds a threshold value, the monitoring section is determined to be a fault section, and the distance of the fault point in the fault section is determined. The scheme of the application can be used to position the fault of a weak power grid power distribution line under the coupling mechanism of the transient response characteristics of the doubly-fed wind turbine and the meshed loop.

The application belongs to the technical field of vehicle control, and provides a multi-vehicle longitudinal formation robust control method and system based on knowledge transfer, which comprises the following steps: constructing a generalized nonlinear multi-vehicle longitudinal system model of heterogeneous vehicles; mapping an original constrained tracking error to an unconstrained tracking error based on a dynamic design of a segmented performance function of the original constrained tracking error; constructing a coupled sliding mode surface based on the unconstrained tracking error, designing a multi-vehicle longitudinal formation robust controller and an uncertain parameter adaptive law; collecting input data and output data of a first following vehicle under the multi-vehicle longitudinal formation robust controller, and introducing historical brake measurements as additional input data; training a long short-term memory network and performing iterative optimization; and transferring the knowledge in the trained long short-term memory network to other following vehicle control systems. The application solves the problems of low transient response rate, high design complexity, and a large number of parameter configurations in the traditional method.

The application provides a power grid transient fault mode classification method and system based on artificial intelligence, relates to the field of power system faults, and comprises the following steps: collecting multi-dimensional physical quantity data, extracting transient response strength and topological connectivity coupling calculation node state values, generating diffusion trajectories and extracting morphological features to determine fault types, source positions and boundaries, calculating time sequence gradient to trace propagation paths, identifying path intersection nodes to calculate cumulative contribution degrees to determine core nodes, configuring isolation trigger conditions for the core nodes to output a network segmentation scheme. The application can quickly and accurately identify faults, reduce power outage ranges, and improve power grid stability.

This invention relates to the field of power electronics technology and discloses a method and system for monitoring the protection status of energy storage converter tests based on the Internet of Things (IoT). The method includes the following steps: constructing a synchronous acquisition network composed of multiple IoT measurement nodes; injecting a pre-defined controllable perturbation signal during the energy storage converter test; calculating the energy proxy quantity corresponding to each protection energy channel based on the synchronously acquired data subsequence within the time window; establishing a structural mapping relationship between the protection energy channel and the protection device and loop nodes; fusing the protection energy fingerprint offset, protection energy topology weight offset, and protection topology entropy offset to output the corresponding protection status judgment result. This invention, through the time-synchronous acquisition of controllable perturbation signals and multiple IoT measurement nodes, ensures that the protection loop is recorded under the same time reference, thereby obtaining complete transient response data of the protection structure to disturbances during the test.

The invention relates to a method for measuring the flow velocity of a medium. The method for measuring the flow velocity of the medium comprises the steps that S1, an LCSR method is adopted, a one-dimensional unsteady-state heat transfer model is established with an RTD protection sleeve as a cylinder wall, temperature field change is simulated to obtain quantitative correlation between a convective heat transfer coefficient and the flow velocity of the medium, and LCSR temperature transient response curves at different flow velocities are obtained; s2, converting the equivalent curve into an immersion method equivalent curve through nonlinear fitting, calculating response time meeting nuclear power standards, and collecting multiple groups of medium flow velocity and response time data; s3, based on the data, establishing a correlation between the two; and S4, obtaining the response time of the RTD in the nuclear reactor annular channel, and substituting the response time into the correlation formula to obtain the medium flow velocity. Accurate measurement of the micro flow velocity of the medium in the annular channel of the nuclear reactor can be realized.

The application discloses a dynamic biasing circuit and method for improving the slew rate of an operational amplifier, which comprises PMOS tubes PM1-PM9, NMOS tubes NM1-NM3, resistors R11, R12, R2, R31 and R32, and detects the step jump of the operational amplifier; the greater the step jump, the greater the differential mode value, the greater the tail current, the greater the working current of the main operational amplifier, the faster the establishment, and the greater the SR; when the step jump is small or no jump, the static current is very small. The dynamic biasing circuit of the application has the advantages of simple structure, rapid response, easy integration and no influence on other performances of the operational amplifier, can efficiently detect the jump of the input signal and instantaneously provide additional driving current, so that the large signal transient response speed of the operational amplifier is fundamentally improved without sacrificing the static power consumption.