4143 results about "Duty cycle" patented technology

The invention relates to the technical field of online calibration, in particular to a multi-parameter fusion intelligent electric energy meter online calibration method and system, and the method comprises the following steps: collecting voltage waveforms, current harmonics and active power data, dividing windows, calculating a covariance matrix, and generating a feature set; a power factor curvature extreme value and a temperature inflection point offset are analyzed to generate an interference identifier, current density distribution and a voltage distortion spectrum are jointly analyzed to extract a harmonic energy ratio to generate a feature vector, and phase compensation is performed on a pulse sequence to generate a calibration instruction set. According to the method, the covariance matrix is constructed by synchronously collecting voltage and current power parameters, the abnormal mark section is generated by combining the temperature change and the covariance difference value, the environment disturbance and the real deviation are effectively distinguished, and the temperature hysteresis effect is identified through the power factor curvature extreme value and the temperature inflection point offset. And combining current density and voltage distortion spectrum analysis to extract a fundamental wave and harmonic wave energy ratio, establishing a composite calibration reference, and dynamically adjusting a pulse duty ratio to realize harmonic wave energy compensation.

Various embodiments herein provide techniques related to a main receiver of a user equipment (UE) and a wake-up receiver (WUR) of the UE. In the embodiments, the WUR receives a low-power wake-up signal (LP-WUS) from a base station. Based on the LP-WUS, the WUR may be configured to wake-up the main receiver of the UE, wherein the UE identifies received configuration information including duty cycle parameters and detects the LP-WUS based on the configuration information, and wherein the UE sets a state of the wake-up receiver based on an RRC state of the main receiver.

The invention provides a single-tube boost PFC circuit control method and system for single-cycle control, and relates to the technical field of data processing, and the method comprises the steps: generating a self-adaptive PWM control signal according to a duty ratio adjustment amount and a frequency compensation factor, and dynamically limiting the pulse current amplitude of a power switch tube through a peak current prediction algorithm, a load current change rate is generated based on the real-time relevance between the pulse current amplitude and the load current; setting a first monitoring point in a dynamic duty ratio change path of the PWM control signal, and extracting a duty ratio change rate and a switching frequency fluctuation parameter in real time; setting a second monitoring point in a feedback path of a load current change rate, and extracting a load current slope characteristic and a transient change amplitude in real time; and based on the parameters of the first monitoring point and the second monitoring point, generating a correction factor through a dynamic response correlation model. According to the invention, a high power factor can be realized under wide input voltage and load fluctuation.

The invention relates to an anti-electromagnetic interference intelligent cooling fan system based on dynamic filter circuit design. The system comprises a dual analysis module used for performing time domain and frequency domain dual analysis on a rotating speed feedback signal of a double-ball fan to obtain a multi-dimensional electromagnetic interference characteristic model, and configuring filter network parameters to obtain a target three-stage cascade dynamic filter network; the signal purification module is used for collecting first fan operation parameters and inputting the first fan operation parameters into a target three-stage cascade dynamic filter network for signal purification to obtain filtered Hall sensor signals and filtered power supply signals; the closed-loop control calculation module is used for performing closed-loop control calculation to obtain a non-linear PWM duty ratio control quantity and a phase distribution parameter; and the phase difference control module is used for carrying out phase difference control to obtain a multi-fan cooperative control strategy. According to the invention, high-precision control and anti-interference capability in a wide rotating speed range are realized, and the problem of mutual influence of electromagnetic interference when multiple fans are connected in parallel is solved.

The invention relates to the technical field of organic display data processing, in particular to an organic display interface multichannel signal modulation method, which comprises the following steps of: generating a standardized data set through gamma correction and gamut mapping, and inputting the standardized data set into time sequence, amplitude and frequency sub-models deployed in a federal learning framework; and respectively analyzing the pulse width-refresh rate relevance, the driving voltage-brightness nonlinear relationship and the conduction period-mobility dynamic response, generating an optimized weight coefficient, and fusing the optimized weight coefficient into a boundary constraint condition of a cross-sub-model. A migration rate parameter index, amplitude gradient calculation and duty ratio correction service of chain calling is constructed based on a service grid, a reinforcement learning dynamic routing strategy is combined to avoid resource competition nodes, and brightness error characteristics are periodically fed back to reversely optimize gradient updating. According to the method, the conflict between time sequence deviation accumulation and local optimum is effectively suppressed, the color gradation continuity, the dynamic range and the edge sharpness are improved, and efficient cooperative modulation of multi-channel signals is realized.

The invention relates to the technical field of power electronics, in particular to a voltage ripple suppression and compensation method for a multi-output AC-DC switching power supply, and the method comprises the steps: obtaining the real-time voltage ripple signal of each AC-DC output channel and the working parameters of the switching power supply, and the working parameters comprise the switching frequency, the duty ratio, the inductance and capacitance parameters and the load current; inputting the real-time voltage ripple signal and the working parameters of the switching power supply into a preset coupling interference model, and generating ripple coupling characteristics between AC-DC output channels; determining a ripple suppression compensation coefficient through the ripple coupling characteristics; and based on the ripple suppression compensation coefficient and a preset PWM control signal, adjusting the output voltage of the switching power supply to suppress the ripple, thereby breaking through the limitation of a traditional method on independent processing of a single channel, and fundamentally solving the problem of a ripple suppression blind area caused by cross interference between channels.

The invention provides a virtual synchronous machine dynamic inertia control method and system based on an artificial intelligence technology, which are applied to voltage source inverter control, and mainly comprises the following steps: data acquisition and preprocessing are carried out, and dynamic parameters are output through a time sequence neural network and are respectively used for control links of a virtual synchronous machine; a convolutional neural network is adopted to calculate a phase compensation angle for phase correction of pulse width modulation, and then a deep reinforcement learning network is utilized to output duty ratio correction to adjust the pulse width modulation so as to cooperatively control the dynamic inertia of the virtual synchronous machine. According to the invention, dynamically adjusted parameters are obtained through data time sequence processing and neural network application, and adaptive adjustment of core parameters can be realized; the convolutional neural network participates in modulation signal calculation, hardware phase delay is effectively compensated, and the dynamic response precision is improved; and cooperative optimization of inertia control and dynamic response is realized by combining deep reinforcement learning, current overshoot is reduced, harmonic waves are suppressed, and the electric energy quality and the system stability are improved.

The invention discloses an energy efficiency control method for a cooling fan of an industrial electric cabinet, and the method comprises the steps: firstly collecting temperature, humidity, equipment current / voltage and other multi-mode sensing data, carrying out the PCA algorithm dimension reduction and feature extraction, combining with Granger causality test, thermodynamic principle and machine learning algorithm, and carrying out the building and fusion, thereby obtaining a cooling efficiency model. Thirdly, preprocessing current and voltage data of the equipment, training and optimizing an LSTM model to predict load power, and calculating a fan rotating speed control value through a heat dissipation efficiency model; then, a PWM speed regulation signal is generated by adopting a fuzzy PID control algorithm, and a pulse width modulation and smooth speed regulation mixed strategy is applied to the duty ratio; and finally, energy efficiency indexes are collected to compare and update the weight of the LSTM model, knowledge distillation is introduced to optimize new model training, and self-adaptive adjustment of the rotating speed of the fan is achieved. The rotating speed of the fan can be accurately adjusted, energy consumption is reduced, the energy utilization efficiency is improved, performance reduction of equipment due to overheating is effectively avoided, and the service life of the equipment is prolonged.

The invention relates to the technical field of energy storage batteries, and discloses a yacht energy storage battery internal short circuit detection method, device and equipment and a medium, and the method comprises the steps: sampling the voltage and current of a yacht energy storage battery pack, and obtaining original sampling data; performing parameter identification to obtain RC network dynamic response data; performing sliding window Fourier transform and wavelet packet decomposition to obtain a target feature vector; performing voltage abrupt change feature judgment, current abrupt change feature judgment and impedance spectrum feature judgment based on the target feature vector to obtain a multi-stage fault judgment result; starting the three-ring nested control structure and inputting the three-ring nested control structure into a PWM modulation unit to obtain a control compensation signal; the control compensation signal is input into the current sharing controller, the PWM duty ratio of the parallel branches is adjusted, and a current sharing control signal is obtained, the reliability of fault detection is improved, cooperative control of state protection, power balance and current tracking is achieved, and the current distribution problem of the parallel branches is effectively solved.

A system includes a first device connected to a power line and a second device connected to a circuit breaker switch upstream of the first device. A transmitter of the first device communicates a signal pertaining to amplitude, phase, frequency, switching frequency and duty cycle of current, including multiple current signatures that include an unique first current signature from the first device and at least one second current signature associated with one or more load fixtures on the power line, with a receiver of the second device. A processor in communication with the receiver processes the signal using Fast Fourier Transform (FFT) to obtain the unique first current signature and the at least one second current signature, perform line and load mapping, and generate user intelligible data representation of the confirmation and determination.

The invention relates to the technical field of LED lamp adjustment, in particular to a multi-path adjusting system of an LED lamp. The method comprises the following steps that: a parameter acquisition module acquires multi-path real-time light intensity parameters and performs noise covariance estimation and channel interference analysis to generate a noise matrix and a channel crosstalk matrix, a change simulation module predicts light intensity change based on the matrixes and generates a simulation LED lamp group, and a dead zone compensation module calculates a duty ratio and performs compensation. According to the method, an anti-overlapping sequence is formed, in the phase distribution module, phase quantization and peak shifting distribution are carried out on the anti-overlapping sequence to obtain a peak shifting control sequence, the channel coordination module generates a multi-path control sequence according to temperature compensation processing, and the feedback optimization module continuously adjusts an LED lamp set by collecting a feedback strong light value to achieve accurate multi-path adjustment. According to the invention, the accuracy of LED lamp adjustment is improved.

The invention relates to the technical field of integrated circuit manufacturing, in particular to a precise electroplating control system and method for an electroplated layer of a double-layer circuit board, and the method comprises the steps: building a multi-physical field coupling simulation model, and simulating the internal current density and ion concentration distribution of a via hole; constructing a mapping relation between the current density and the side wall electroplating thickness based on a simulation result, and predicting the electroplating thickness; through thickness prediction feedback, a time sequence adjustable pulse current control strategy is designed, the pulse amplitude, the duty ratio and the on-off period are dynamically adjusted, and current distribution optimization is guided; the state of the electroplating process is sensed in combination with real-time monitoring and analysis of multi-source parameters of electrode potential, conductivity and fluid velocity; and based on the prediction model and the real-time parameters, adjusting the pulse waveform and the time sequence through closed-loop compensation. According to the method, the uniformity and controllability of the thickness of the electroplated layer on the side wall of the via hole can be remarkably improved.

The invention relates to the technical field of wireless communication, and particularly discloses a self-adaptive anti-interference communication method and system based on star flash-Bluetooth dual-mode, and the method comprises the steps: monitoring channel interference parameters in real time through a dual-mode radio frequency module on a communication terminal, including the out-of-band radiation power and the pulse interference duty ratio at the switching moment; instantaneous interference intensity features are extracted by using synchronous compression wavelet transform and sparse time-frequency analysis, periodic pulse interference features are identified by combining Hawkes process modeling, and a comprehensive anti-interference feature vector is constructed by fusion; the feature vectors are input into a pre-trained gradient boosting tree model for communication quality evaluation, an optimal communication mode is dynamically selected according to a scoring result, intelligent response to a complex interference environment is achieved, the stability and reliability of a communication system in a high-interference scene are improved, energy efficiency optimization and resource scheduling are considered, and the method is suitable for large-scale popularization and application. The method is suitable for industrial, medical, Internet of Things and other application scenes with strict requirements on communication quality.

Systems, methods, and other embodiments associated with ML-based detection of amplification of vibration due to resonance are described. In one embodiment, a method includes recording vibrations of a reference asset while the reference asset is operated based on a test pattern that sweeps over a range of workload for the reference asset. Cross power spectral densities between the recorded vibrations and the test pattern are determined at intervals to identify resonance frequencies of the reference asset. Vibrations of a target asset are monitored at the resonance frequencies with a machine learning model trained to generate estimated values at the resonance frequencies that are consistent with the reference asset. Resonant vibration amplification is detected based on a dissimilarity between vibration values for the target asset at the resonance frequencies and the estimated values. And, an electronic alert that the target asset is undergoing the resonant vibration amplification is generated.

The invention discloses an electric tool, a nail gun and a control method of the electric tool. The motor is arranged in the shell; the battery pack is used for supplying power to the motor; the percussion assembly is arranged in a nailing period, can move from an initial position to a percussion position so as to knock out a nail to a workpiece, and can move from the percussion position to the initial position; the parameter detection unit is at least connected with the motor and at least detects working parameters of the motor; the controller is at least connected with the parameter detection unit; the controller is configured to limit the maximum duty ratio of the starting control signal to be smaller than or equal to the duty ratio threshold value if the working parameter is smaller than or equal to the parameter threshold value in the motor starting process.

Systems and methods for generating nitric oxide are disclosed. A nitric oxide (NO) generation system includes at least one pair of electrodes configured to generate a product gas containing NO from a flow of a reactant gas; and a controller configured to regulate the amount of nitric oxide in the product gas produced by the at least one pair of electrodes by utilizing duty cycle values of plasma pulses selected from a plurality of discrete duty cycles to produce a target rate of NO production based on an average of discrete production rates associated with each of the plurality of discrete duty cycles.

The invention discloses a low-output-ripple automatic-current-sharing interleaving buck converter and a control method thereof.The converter comprises a main power circuit and an auxiliary compensation circuit, and the main power circuit adopts two interleaving main branches to achieve voltage conversion and energy transmission; automatic current sharing of the circuit is realized through the integrated network switch module and PWM signal control; the auxiliary compensation circuit adopts a current mirror image compensation principle, and adjusts the magnitude of the compensation current by comparing the difference between the output current of the main power circuit and the reference current, so as to effectively suppress the output current ripple; the control method comprises the steps of output voltage monitoring, PI adjustment, duty ratio modulation and a complementary control mechanism, current ripple phase offset is ensured, and the system stability and efficiency are improved. Compared with the prior art, the method has the advantages that the complexity of a control system is reduced, the working efficiency is improved, the current ripples are effectively eliminated, and the method has relatively high practical value and popularization prospect.

The invention provides a high-frequency circulating current calculation method for a motor simulator cascade coupling parallel structure, and the method comprises the following steps: building an equivalent decoupling circuit model of each branch in the cascade coupling parallel structure based on the voltage relation of each branch in the motor simulator cascade coupling parallel structure, wherein the equivalent decoupling circuit of each branch comprises an equivalent voltage source and an equivalent leakage inductor which are connected in series, and the equivalent leakage inductor is determined based on self-inductance and mutual inductance of a choking coil of each branch; a plurality of duty ratio intervals are divided between 0 and 1, and the number of the duty ratio intervals is equal to the number of the branches in the cascade coupling parallel structure; and using the equivalent decoupling circuit model to calculate the high-frequency circulation of each corresponding branch when the duty ratio of the modulation signal of the motor simulator is in each duty ratio interval. According to the method provided by the invention, the high-frequency circulating current of the cascade coupling parallel structure of the motor simulator can be accurately calculated, and effective support is provided for targeted design of a high-frequency circulating current suppression scheme.

The invention relates to a BUCK-BOOST converter control circuit, a control method and a safety air bag chip, the peak value of inductive current is detected through a current sampling compensation module, stable control of output voltage is achieved, the dynamic response speed is high, the loop stability is good, and meanwhile the circuit structure is simple. According to the BUCK-BOOST converter, stable switching of the working modes of the BUCK-BOOST converter is achieved through the mode control module, and it is ensured that the BUCK-BOOST converter can still work normally under the high voltage level. And the slope compensation unit is introduced into the circuit, so that subharmonic oscillation can be effectively prevented when the duty ratio of the PWM signal is greater than 50%, and the stability of the system is ensured.

The invention provides a circulation power optimization method and system for a three-phase dual-active bridge, and relates to the field of power electronics, the method comprises the following steps: determining an optimal backflow modulation strategy set corresponding to a hybrid modulation group, the hybrid modulation group comprising triangular wave modulation, trapezoidal modulation, synchronous modulation and extended phase shift modulation, the optimal backflow modulation strategy set corresponding to the hybrid modulation group comprises modulation modes and degree-of-freedom relationships corresponding to different transmission power per unit value ranges in different voltage conversion ratio ranges; determining a degree of freedom and power relationship set corresponding to the hybrid modulation group, wherein the relationship set comprises a relationship between the degree of freedom and power of different transmission power per unit values corresponding to each mode; the phase shift angle, the primary side duty ratio and the secondary side duty ratio are determined by combining the real-time voltage conversion ratio and the real-time virtual power per unit value, operation of the three-phase dual-active bridge is controlled, and the method has the advantages of reducing complexity and improving portability and efficiency.

A resonant converter switching between different operational state modes is provided. The resonant converter includes a first transistor, a second transistor, a control circuit, a resonant circuit, a transformer and an output stage circuit. A first terminal of the first transistor and a second terminal of the second transistor are connected to positive and negative terminals of an input voltage source, respectively. A first terminal of the second transistor is connected to a second terminal of the first transistor. The resonant circuit is connected to the second terminal of the first transistor and the transformer. The transformer is connected to a load through the output stage circuit. The control circuit modulates frequencies or duty cycles of conduction time control signals that are outputted to the first and second transistors to different values for switching the resonant converter between the operational state modes.

The present application provides a method for generating a micro-scale columnar high-speed acoustic beam in a liquid environment, comprising: a liquid environment; a high-frequency resonator, which generates 0.5-30 GHz ultrasonic waves to act on the liquid environment during operation, generating a directional fluid motion along the direction of propagation of the sound wave in the liquid at the solid-liquid interface, i.e., a columnar focused acoustic beam; the high-frequency resonator is driven to operate in at least one driving cycle with a first power, each driving cycle including a first stage and a second stage, the first stage driving the high-frequency resonator to operate, and the second stage stopping the driving; the magnitude of the first power causes the high-frequency resonator to generate an acoustic beam in the first stage; and the duration of the first stage at the first power is less than the second threshold or the duty cycle of the first stage in one driving cycle is less than the first threshold. Corresponding applications are also provided, such as a method for directional transport of liquids or particles in liquids, and a method for processing target objects.

The embodiment of the invention relates to the technical field of digital signal processing, and discloses a DC-DC module control method and device, a medium and a product. Comprising the following steps: performing electrical parameter sampling on a DC-DC module, and judging whether a current working mode is a Buck mode or a Boost mode through a comparator circuit; calculating the deviation between the output voltage and the target voltage in the real-time electrical parameters, generating a PWM duty ratio adjusting signal, and generating a plurality of paths of staggered PWM driving signals through a phase shift circuit; performing power distribution on the multiple paths of staggered PWM driving signals, and adjusting the conduction time of each path of switch tube to obtain a current-sharing control signal; and analyzing the real-time electrical parameters, the current working mode, the PWM duty ratio adjustment signal, the multi-path staggered PWM driving signal and the current-sharing control signal to obtain a dynamic adjustment strategy. The technical problem that the control accuracy and efficiency of the DC-DC module are low can be at least solved.

The invention relates to the technical field of power electronics, in particular to a multi-level converter midpoint voltage dynamic balance control method, which comprises the following steps: acquiring positive bus voltage and negative bus voltage, and calculating deviation voltage of a DC side midpoint based on the positive bus voltage and the negative bus voltage; on the basis of the positive bus voltage, the negative bus voltage and the calculated deviation voltage of the direct current side midpoint, the duty ratio in the current switching period is calculated by combining the obtained balance bridge current, the obtained balance bridge inductance value and the switching period; determining the duty ratio of upper and lower tubes of the balance bridge according to the comparison result of the deviation voltage and preset positive and negative threshold values; and carrying out carrier wave comparison based on the determined duty ratio of the upper and lower tubes of the balance bridge, generating a PWM signal and driving the upper and lower tubes of the balance bridge. According to the invention, the requirements of high responsiveness and high precision of the multi-level converter on the neutral-point voltage balance performance under the dynamic operation condition can be met.

Some aspects of the present disclosure provide a harmonic reduce control system for controlling an inverter, including a phase-locked loop controller, a voltage sum loop controller, a repeative controller, a current loop controller, and a harmonic obtaining module. The harmonic obtaining module detects a harmonic value of a load current. The control system generates an inverter current reference value based on a first current value output by the voltage sum loop controller and the harmonic value, calculates a real-time frequency value based on a voltage of the power grid, obtains, through calculation, a repeative controller output value based on the inverter current reference value, the inverter output current, and the real-time frequency value, and outputs a first duty cycle based on the repeative controller output value. The control system limits the inverter output current based on the first duty cycle.

The invention relates to the technical field of inverter pulse width modulation, in particular to a neutral-point potential balance and low common-mode voltage modulation method and system based on an SVPWM inverter, and the method comprises the steps: determining a basic voltage vector based on different switching states of an NPC three-level inverter; respectively determining the midpoint current of each fundamental voltage vector, and determining the fundamental voltage vector causing midpoint potential deviation; combining with a large vector and a zero vector, and performing mode division of a single vector space region; determining an expected current according to the DC side capacitor voltage of the inverter, and constructing a target function based on the expected current; and performing region judgment according to the output synthesized voltage vector, determining a corresponding optimal division mode, obtaining each basic voltage vector of the synthesized voltage vector and a corresponding duty ratio, and determining a switching sequence to obtain a PWM wave. While the neutral-point potential balance and common-mode voltage suppression of the NPC three-level inverter are realized, the switching frequency of the inverter is effectively reduced, and the switching loss is reduced.

The invention provides a motor fault-tolerant control method for a high-altitude operation unmanned aerial vehicle, and the method comprises the steps: determining a motor fault type through collecting the operation state data of a target motor, including a vibration signal, a temperature signal, a current signal, a rotating speed signal, attitude information, environment air pressure and environment wind speed; the fault types comprise rotor unbalance, current overload, thermal runaway, bearing fault and open-phase fault. And executing corresponding adjustment operation according to the fault type and the current flight state of the unmanned aerial vehicle, including: when the rotor is unbalanced, adjusting the PWM duty ratio by calculating the transverse component of the target rotating speed so as to offset the offset torque and the like. And after the adjustment operation is completed, adjusting a task execution mode according to the motor operation state, including reducing a task load or starting a landing mode, and ensuring task completion and flight safety of the unmanned aerial vehicle. According to the method, the reliability and the fault-tolerant capability of the unmanned aerial vehicle in a complex high-altitude operation environment are improved.

The invention provides a constant-voltage PWM dimming system for improving the brightness change of a light source, and the system comprises a controller, and a PWM wave generation module in the controller controls the light source to be turned on based on a set duty ratio. The current acquisition module controls and acquires actually measured current; the temperature acquisition module acquires real-time temperature, and the current mapping module calculates theoretical current according to a linear mapping function of the temperature and the current; the current compensation module obtains compensation current; the duty ratio mapping module obtains a theoretical duty ratio corresponding to the compensation current by using a linear mapping function of the current and the duty ratio; the duty ratio adjusting module compares the theoretical duty ratio with the duty ratio set by the current PWM wave generation module, resets the duty ratio, outputs a PWM control signal according to the newly set duty ratio, and controls the light source to be lightened; according to the system, a feedback adjustment mechanism is established, so that the brightness of a light source is dynamically balanced in an interval, and obvious change of a brightness value is avoided; the method is suitable for accurate dimming control of various types of LED light sources.

A power converter topology, comprising: a cascade connection of a first converter stage and a second converter stage; wherein the first converter stage comprises a current mode controlled pulse width modulation (PWM) converter having one or more pairs of switches forming a first switching bridge and an inductor connected to the output of the first switching bridge, the switching bridge generating a voltage Vlink; and wherein the second converter stage is a resonant converter having a switching stage having one or more pairs of switches forming a second switching bridge across the voltage Vlink generated by the first converter stage and a resonant tank connected to the output of the second switching bridge, to generate a resonator output voltage; the topology further comprising a transformer to transform the resonator output voltage to a transformed output voltage and a rectifier to rectify the transformed output voltage to an output voltage Vout, and wherein the duty cycle of the first switching bridge is varied according to a voltage derived from the value of the output voltage Vout, and wherein the duty cycle of the second switching bridge is fixed at 50:50.

The invention relates to the technical field of drivers, and discloses a low-delay control method, system, equipment and medium for a gallium nitride gate driver, and the method comprises the steps: carrying out the feature extraction and nonlinear mapping processing of the driving voltage, gate charge and switching time sequence parameters of the gate driver, and obtaining time domain characteristic data and a parameter distribution model; duty ratio modulation function calculation is carried out to obtain a rising edge duty ratio parameter and a falling edge duty ratio parameter; performing dynamic planning solution on the state transition equation to obtain an optimal control sequence; performing driving control on a gate driver according to the optimal control sequence, and acquiring running state data through a plurality of monitoring points to obtain an actual driving delay value and an actual switching loss value; the Gaussian process model is constructed based on the actual driving delay value and the actual switching loss value, the updated control parameters are obtained through iterative sampling calculation, the optimal control sequence considering multivariable constraints is obtained, and the accuracy of driving control is remarkably improved.