64results about How to "Reduce overshoot" patented technology

The invention discloses a three-phase permanent magnet synchronous motor full-speed-domain driving control system and a control method thereof. The system is composed of a torque limiting module, a full-speed-domain control neural network module, a current control module, a coordinate transformation module-I, a coordinate transformation module-II, a coordinate inverse transformation module, an SVPWM module, a SiC MOSFET driving module, a full-speed-domain position rotating speed observation module, a weak magnetic feedback module and a three-phase permanent magnet synchronous motor. The control method is used for driving the control system. According to the method, accurate tracing of the optimal dq-axis reference current working point is realized based on deep learning, and accurate control of three operation modes of MTPA, field weakening control and MTPV is realized; an improved mobile vision field estimation algorithm is adopted, and the rotor position and the rotor rotating speed are accurately estimated within the full-speed domain range; the SiC MOSFET is used as an inverter switching tube, and a brand new drive circuit is designed to adapt to the operation condition of the electric vehicle.

The invention provides a microbial fermentation temperature control method based on PID (Proportion Integration Differentiation), which relates to the field of temperature control, and specifically comprises the following steps: constructing microbial fermentation temperature control models including a temperature monitoring model, an improved PID control model, a temperature driving model, a temperature error model and a target function model; the maternal line optimization algorithm is improved, and the improved maternal line optimization algorithm is guided through the target function to set the coefficient of the traditional PID control algorithm to obtain an improved PID control algorithm; normalizing the deviation value of the target temperature and the real-time temperature in a range of [0, 1] to obtain a normalized temperature deviation value of the real-time temperature and the target temperature; the normalized temperature deviation value is input into an improved PID control model, a temperature control signal is output after adjustment through an improved PID control algorithm, the temperature control signal controls and adjusts the microbial fermentation temperature through a temperature driving model, and the microbial fermentation temperature is accurately and rapidly adjusted.

The invention relates to the technical field of charging piles, and discloses a current control method and device based on heating of a charging gun, and the method comprises the following steps: obtaining a gun head temperature and an environment temperature based on a preset sampling frequency, so as to obtain a heat exchange coefficient in a corresponding convection heat dissipation formula through matching; gun head resistance corresponding to the gun head temperature is calculated based on a resistance temperature polynomial fitting formula; according to the preset calculation frequency, the gun head temperature, the environment temperature, the heat exchange coefficient and the gun head resistance are input into a convection heat dissipation formula, and balance current is obtained through calculation; parameters of a PID adjusting formula are obtained based on the gun head temperature, the external temperature, the external humidity and the resistance value, and a charging current adjusting value is obtained based on the PID adjusting formula; and repeating the above steps, and adjusting the current charging current of the charging gun based on the charging current adjustment value. The method has the advantage of effectively balancing the temperature of the charging gun and the stability of the charging current under the condition of external temperature fluctuation.

The invention provides an RTDS simulation-based DC booster control method and system for new energy grid connection, and relates to the technical field of new energy grid connection control, and the method comprises the steps: building an RTDS-based DC booster control simulation model for new energy grid connection; operating the control simulation model; acquiring voltage and current data of a low-voltage side and voltage and current data of a high-voltage side of the direct-current booster; obtaining output data of new energy direct current grid connection; based on the voltage and current data of the low-voltage side and the high-voltage side of the direct-current booster, an abnormal analysis value of the direct-current booster is obtained through an abnormal analysis method of the direct-current booster; based on the voltage and current data of the high-voltage side and the output data of the new energy direct current grid connection, an output anomaly analysis value is obtained through an output anomaly analysis method; and controlling the direct current booster through a neural network PID control algorithm according to the abnormal analysis value and the output abnormal analysis value of the direct current booster. According to the invention, the regulation and control accuracy of the DC booster for new energy grid connection is improved.

The invention discloses a backstepping active-disturbance-rejection control method and device for a permanent magnet synchronous motor and a medium, and relates to the field of motor control. The invention aims to solve the problem of overshoot in the control process of the traditional three-phase motor. The invention relates to a backstepping active-disturbance-rejection control method for a permanent magnet synchronous motor. The method comprises the following steps: constructing a permanent magnet synchronous motor second-order dynamics simplified model with an error disturbance factor; de-noising the model by using a differential tracker; observing the denoised model by using a first-order extended state observer; obtaining an error disturbance factor of the motor control system by using a nonlinear state error feedback control law based on the observation result, and compensating the error disturbance factor to obtain external disturbance of the motor control system after compensation; and designing a backstepping controller of the permanent magnet synchronous motor by adopting a backstepping method on the basis of the compensated external disturbance of the motor control system, obtaining a control quantity by utilizing the backstepping controller of the permanent magnet synchronous motor, and further controlling a rotating speed ring in vector control of the permanent magnet synchronous motor.

The invention discloses a wireless power transmission secondary side voltage stability control method based on butterfly optimization. The method comprises the following steps: initializing a butterfly population and a position thereof; calculating the fitness value of each butterfly; updating the position of the butterfly according to the fitness value, and searching an optimal control parameter by updating the position of the butterfly; iteratively solving, continuously updating the position, and outputting an optimal solution when a termination condition is met; the optimized PID controller is used for controlling the secondary side voltage, so that the dynamic response time of the system can be reduced, and the secondary side voltage can reach a stable state more quickly; the system overshoot can be reduced, the control of the secondary side voltage is smoother, and the voltage fluctuation is reduced; the device for the wireless power transmission system comprises a processor and a memory connected with the processor; the response speed is high, the steady-state error is smaller, the system stability is higher, and the application prospect is wide; the stable output of the transmission system can be kept under different load change conditions, and the performance and efficiency of the wireless power transmission system are improved.

The invention discloses a silicon carbide power module dynamic current sharing method and system, and the method comprises the steps: setting a basic layout of a multi-chip parallel silicon carbide power module, and extracting circuit parasitic parameters; setting working conditions of the silicon carbide power module, and setting bus voltage, load current and power chip switching speed; setting the maximum allowable voltage overshoot, and limiting the total capacitance value of the distributed decoupling capacitor bank according to the voltage overshoot; and according to the equivalent impedance of the parallel branches at the set switching speed after the distributed decoupling capacitor bank is added, the capacitance value of the distributed decoupling capacitor is adjusted, so that the equivalent impedance of each branch is the same. By integrating the distributed decoupling capacitors, the problem of non-uniform current distribution in the traditional parallel connection technology is solved, and the method has important theoretical and practical significance for improving the performance of a power electronic system.

The invention relates to the technical field of control optimization, and discloses a fishery experiment pH control optimization method comprising the following steps: S1, setting a fishery experiment environment target pH value, and inputting the real-time pH value into a fishery experiment pH controller; s2, setting a proportionality coefficient, an integral coefficient and a differential coefficient of a traditional PID control algorithm by using an improved children learning optimizer, and applying the optimized PID control algorithm to a pH controller of a fishery experiment to obtain an enhanced pH controller; s3, calculating an experimental environment pH difference value between the real-time pH value and the target pH value, inputting the experimental environment pH difference value into an enhanced pH controller, and outputting a pH control quantity signal; and S4, outputting an adjustment concentration control quantity of carbon dioxide by the pH control quantity signal through a control quantity signal conversion model, adjusting the carbon dioxide concentration of the fishery experimental environment, returning to the step S1 to the step S4, monitoring the real-time pH value, adjusting the pH control quantity signal, and rapidly and accurately reaching the target pH value.

The invention discloses a self-adaptive cruise dead zone processing control system and method, and belongs to the field of intelligent driving. The adaptive cruise dead zone processing control system comprises an ADS module, a BCM module, an environment sensor, an ESP module, a function switch and a center control large screen, the environment sensor is used for sensing external environment information, the ADS module is used for receiving a vehicle body state and a switching signal sent by the BCM module, receiving the external environment information sent by the environment sensor and then conducting transverse and longitudinal control on a vehicle, and the function switch is used for controlling the center control large screen. The BCM module is used for acquiring a vehicle body state and a switching signal of the function switch and transmitting the vehicle body state and the switching signal to the ADS module, and the ESP module is used for performing acceleration and deceleration control and stability control on a vehicle. According to the adaptive cruise dead zone processing control system and method, the adaptability and stability of an adaptive cruise system are improved, the control precision and safety of the adaptive cruise system are improved, and the comfort experience of a driver and passengers in the adaptive cruise process is enhanced.

The invention discloses a speed curve variable scooter speed control method which comprises the following steps: acquiring accelerator push amount and gear information, and calculating an expected target speed; acquiring the vehicle speed in real time, and determining an expected speed difference value; constructing a linear velocity path, and performing dynamic adjustment through the prediction model; according to the control precision and the response time, the linear speed path is uniformly divided; calculating an acceleration value according to the speed curve type; the actual speed of the scooter is monitored in real time, and the subsequent acceleration value is adjusted; and repeatedly executing the steps until the instruction is stopped. According to the method, the expected speed difference value is accurately calculated, the segmented speed paths are flexibly generated, and variable acceleration control on each segment of path is realized in combination with the acceleration curve variator, so that the change of the acceleration of the scooter can be smoothly adjusted in real time, the rapidness and stability of the driving process are ensured, and meanwhile, the driving comfort is improved.

The invention relates to a smelting furnace intelligent control system and method, and belongs to the technical field of smelting furnace intelligent control, the system comprises a data acquisition module, an automatic control module, a man-machine interaction module and a data storage module, and the data acquisition module, the automatic control module, the man-machine interaction module and the data storage module are in communication connection in sequence; the automatic control module is used for automatically adjusting working parameters of the smelting furnace according to a control decision through the collected real-time data and issuing a control instruction to control fuel supply and cooling water flow; the data acquisition module is used for acquiring real-time data through sensor equipment and performing primary processing on the data; and the data storage module is used for storing the collected real-time data and classifying the data according to the established different operation condition types. Accurate automatic control is achieved through the control decision, optimization of the smelting process is achieved, meanwhile, the fuel supply amount and the cooling water flow are obtained through the multi-target optimization algorithm, working parameters are adjusted in real time, and energy use is reduced.

The invention discloses a low-dropout linear voltage stabilizing circuit, a low-dropout linear voltage regulator and electronic equipment, and relates to the technical field of integrated circuits. A basic low-dropout linear voltage stabilization unit is connected with a low-voltage stabilization unit; the basic low-dropout linear voltage stabilization unit is configured to generate an output voltage by utilizing the low-voltage stabilization unit; the low-voltage stabilization unit is configured to reduce the impedance of two non-dominant poles in the basic low-dropout linear voltage stabilization unit so as to improve the loop bandwidth and enhance the loop stability. The low-dropout linear voltage stabilizing circuit is made by adopting a 180nm process, can be externally hung with a high-capacity capacitor, works at the temperature of 77K-300K, and meets the load current of 0-50mA. The low-dropout linear voltage stabilizing circuit is higher in output driving capability. And the stability of the FVF loop is enhanced, so that a high-capacity capacitor can be externally hung at the output end, the overshoot during transient response is reduced, the impact resistance is relatively high, and the output noise is also reduced to a certain extent.

The invention discloses a permanent magnet synchronous motor non-inductive active-disturbance-rejection control method, which comprises the following steps: establishing a pulsating high-frequency voltage injection model of a permanent magnet synchronous motor, and injecting a high-frequency pulsating voltage signal into a direct axis of an estimated dq axis of the permanent magnet synchronous motor; a high-frequency response current equation under the dq shaft system is obtained and estimated; obtaining a simplified high-frequency response current equation according to the high-frequency response current equation and the high-frequency voltage signal, and obtaining an expression of a q-axis high-frequency response signal # imgabs0 #; based on an expression of a q-axis high-frequency response signal # imgabs1 #, a q-axis high-frequency current response estimation value containing a position estimation error is detected, useful information f (delta theta) is obtained after preset signal processing, and the useful information f (delta theta) serves as input of a PI controller so as to obtain an estimation value of the rotating speed. Compared with the traditional method, the control strategy and the signal processing method adopted by the invention are simpler and more efficient, the control performance and the stability of the system are improved, the complexity of system implementation is reduced, and engineering application and actual deployment are facilitated.

A mechanical arm trajectory planning method based on a structure-oriented motion profile belongs to the related technical field of robot control, and comprises the following steps: S1, inputting an expected position point matrix P of a joint space and physical constraints of a mechanical arm; s2, initializing parameters, wherein the parameters comprise a slope coefficient and a local asymmetric coefficient of the point-to-point trajectory model, a variable boundary, a population size, an external memory size and a maximum number of iterations; s3, generating an initial track Omega based on the structure-oriented motion profile; s4, optimizing an initial track omega according to an analytical method priority strategy; and S5, outputting an optimal solution or a Pareto optimal solution set. Efficient and high-precision operation of the mechanical arm is achieved, and the production efficiency and the operation precision are improved.

The invention discloses a rotating speed control method of a permanent magnet synchronous motor. The method comprises the following steps: firstly, designing an adaptive switching expansion state observer of the permanent magnet synchronous motor, and adding the adaptive switching expansion state observer into a rotating speed loop control process; and then inputting the rotating speed of the permanent magnet synchronous motor and a q-axis current reference value output by a rotating speed ring into an extended state observer, performing adaptive parameter switching control at the same time, and outputting the rotating speed and an observed value of lumped disturbance after processing so as to continue to perform rotating speed ring control and realize rotating speed control of the permanent magnet synchronous motor. The method can improve the dynamic and steady state performance of the permanent magnet synchronous motor under inertia mismatch, weaken the overshoot of the motor in the dynamic process, greatly accelerate the response speed, reduce the rotation speed fluctuation and oscillation in the adjustment process, reduce the dependence of the parameter design of a motor control system on the rotational inertia parameter, and improve the stability of the motor control system. And meanwhile, the estimation capability of rapid change lumped disturbance is enhanced, and more complex lumped disturbance types can be dealt with.

The invention discloses an adsorption medium injection speed control method, and belongs to the technical field of PID control optimization, and the method specifically comprises the steps: 1, constructing an adsorption medium injection speed control system; 2, improving a moss growth optimization algorithm; step 3, performing parameter optimization on a PID controller of the adsorption medium injection speed control system by using an improved moss growth optimization algorithm, and obtaining a group of optimal parameter values through algorithm iteration; and step 4, correspondingly converting the optimal parameters obtained by optimization into three parameters Kp, Ki and Kd of PID, inputting the converted parameters into an adsorption medium injection speed control system, optimizing the control effect of the system, setting PID controller parameters in the adsorption medium injection speed control system by using an improved moss growth optimization algorithm, optimizing the control performance of a PID controller, and improving the control efficiency of the adsorption medium injection speed control system. The control precision of the injection speed of the adsorption medium is improved, and the robustness and adaptability of the whole control system are enhanced.

The application provides a control method of a COT conversion circuit, the COT conversion circuit and a chip. The COT conversion circuit is used in connection with an output circuit. The method comprises the following steps: when it is detected that the output voltage of the COT conversion circuit is less than a preset first reference voltage, the COT conversion circuit is controlled to enter a pressure boosting state, and the pressure boosting state is reset through a reset signal; at the generation moment of the reset signal, if it is detected that the output voltage of the COT conversion circuit is still less than the preset first reference voltage, the reset signal is disabled, so that the COT conversion circuit remains in the pressure boosting state; and until it is detected that the output voltage of the COT conversion circuit is greater than a preset second reference voltage, the reset signal is enabled, so that the COT conversion circuit ends the pressure boosting state.

The application discloses an IBCU plunger cavity rigidity self-learning algorithm and relates to the technical field of hydraulic brake-by-wire systems, and comprises the following steps: triggering a plunger cavity sealing detection state in the IBCU power-on process; when the plunger cavity pressure and the plunger position meet the credible condition, acquiring the pressure data of the plunger cavity in the pressure building process and the corresponding plunger cavity liquid consumption volume data. The application acquires the plunger cavity rigidity parameter through self-learning, realizes individual modeling, and improves the parameter accuracy; optimizes the liquid quantity estimation based on the corrected rigidity parameter, improves the pressure building speed and the control accuracy, especially improves the single round pressure building performance; simultaneously compensates the individual differences, enhances the system consistency, makes the theoretical model and the actuality more matched, and thus improves the overall braking performance and stability.

The invention relates to the technical field of industrial intelligent production, and provides a safety detection system and method for a microwire annealing tinning machine production line, and the system comprises a data collection module, a safety monitoring module and an emergency protection module. The problems existing in the operation process of the production line are intelligently regulated, controlled and solved through the intelligent temperature control system, the temperature condition is monitored and managed in real time through a feedback control algorithm, output of the control device is adjusted according to the error between the current temperature and the set temperature, and the temperature control efficiency is improved. Therefore, the temperature can rapidly and stably reach a set value, overshoot and oscillation conditions are reduced, the production quality and performance of products are improved, the equipment damage probability is reduced, and potential safety hazards are reduced.

The invention discloses a design method and device of a three-level boost converter bandwidth boosting circuit and a photovoltaic system. The method comprises the following steps: firstly, taking an input capacitor of a three-level boost circuit and a PV assembly as a first integral circuit, and solving output impedance Zpv under a small signal model; secondly, a virtual impedance circuit is designed, the Zpv is connected with a virtual impedance Zs in series, the virtual impedance Zs is a pure resistor Rs, a virtual impedance Zp is connected behind the Zs in parallel, and the virtual impedance Zp is composed of an inductor Lp and a resistor Rp; and finally, the equivalent output impedance Zeq added with the virtual impedance is obtained, and due to the action of Zs and Zp, the change of Rpv cannot cause the change of Zeq in a large range, so that the bandwidth of the control system is improved. The virtual impedance design method can improve the bandwidth of the three-level boost converter and dynamically control the input photovoltaic voltage, thereby improving the overall efficiency and stability of a photovoltaic system.

This invention relates to an energy-saving and efficient combustion control method and system for industrial furnaces, belonging to the field of industrial furnace automatic control technology. The method includes: acquiring the industrial furnace zone number; obtaining the corresponding target temperature and current temperature based on the industrial furnace zone number; calculating the temperature difference based on the target temperature and current temperature; when the temperature difference is less than a preset temperature difference threshold, finding the corresponding PID parameter based on the industrial furnace zone number; calculating a first required fuel amount based on the temperature difference and the PID parameter; controlling the zone corresponding to the industrial furnace zone number to add fuel according to the first required fuel amount; when the temperature difference is greater than the preset temperature difference threshold, finding a proportionality coefficient based on the industrial furnace zone number; calculating a second required fuel amount based on the temperature difference and the proportionality coefficient; and controlling the zone corresponding to the industrial furnace zone number to add fuel according to the second required fuel amount. This invention effectively reduces energy waste in industrial furnaces.

The invention relates to the technical field of environmental parameter control, in particular to an automatic control method and system for a goat breeding environment, and the method comprises the steps: collecting and preprocessing a multi-source data sequence in the goat breeding environment; constructing a high-temperature flying dust interference condition and a chemical gas interference condition of any goat breeding house in each control interval; and generating a proportional term regulation factor according to the high-temperature flying dust interference condition and the chemical gas interference condition, and dynamically regulating the proportional term of the ventilation motor power of any goat breeding house in each control interval through the proportional term regulation factor. According to the method, the stability of automatic control of the goat breeding environment is improved by adjusting the PID control proportional item of the ventilation motor of the goat breeding house.

The invention belongs to the technical field of phase-locked loops and filters, and particularly relates to an active loop filter for a low-jitter phase-locked loop. The pulse signal selection circuit and the signal transmission circuit provide stable input for the operational amplifier circuit; a resistance-capacitance circuit which cooperates with the operational amplifier circuit to realize frequency selection and amplitude control of the input signal; and the operational amplifier circuit is used for enhancing the amplitude of the output signal of the charge pump and converting the current signal into a stable voltage signal. The signal transmission circuit can reduce burrs and overshoot of signals, is good in voltage transmission characteristic, high in noise margin, high in anti-interference capability and low in power consumption, and can provide stable signals as input of an operational amplifier, so that the jitter performance of a phase-locked loop is optimized.

The invention discloses a voltage vector synthesis-based current prediction control method for a switched reluctance motor, and belongs to the field of switched reluctance motor control. The current prediction control method comprises the following steps: obtaining a given current of a rotor according to a PI controller of a rotating speed ring; determining the region of the rotor by measuring the actual mechanical position of the rotor; selecting a corresponding voltage vector through an area where the rotor is located; determining the duty ratio of the voltage vector according to the given current; and sending the selected voltage vector action time and a switching signal corresponding to the duty ratio to an asymmetric half-bridge power converter, and controlling the switched reluctance motor. The method has the advantages that the maximum error given by current tracking is reduced by about 75%, the current pulsation rate is reduced by about 7%, the current tracking given effect is obviously improved, and the problems that the current peak value is high and the current pulsation is large in the commutation period of a traditional finite set model prediction control algorithm are effectively solved.

This invention relates to the field of automatic control technology, and in particular to a method and system for asymmetric preset performance control of a cascade continuous stirred reactor without initial conditions. The method includes establishing a mechanistic model of the cascade continuous stirred reactor, transforming it into an error equation for the cascade continuous stirred reactor, pre-specifying that the change in reactant concentration error at the output of the cascade continuous stirred reactor satisfies a banded constraint space, converting the banded constraint space into a symmetric constraint space, constructing a radical-type algebraic saturation function to map the symmetric constraint space into a bounded symmetric constraint space, superimposing an exponential finite-time decay function on the bounded symmetric constraint space to construct a bounded symmetric constraint space without initial conditions, constructing a barrier Lyapunov function based on the bounded symmetric constraint space without initial conditions, and designing an asymmetric preset performance controller without initial conditions using the backstepping method. This invention enables the stable, safe, and rapid operation of the cascade continuous stirred reactor.

The invention discloses a direct-drive static-pressure motorized spindle and a control method, and belongs to the technical field of machine tool spindles, and the control method comprises the steps that an industrial personal computer receives a first operation signal acquired by acquisition equipment, extracts a dynamic characteristic signal of the motorized spindle from the first operation signal, and performs modeling on the extracted dynamic characteristic signal; parameters in the linear conversion process are adjusted according to the load change of the main shaft; setting an instruction structure of operation parameters of the motorized spindle and outputting a control instruction; and optimizing a control strategy through a machine learning model. In the implementation process of the technical scheme, the dynamic characteristic signal of the motorized spindle is extracted, modeling is carried out on the extracted dynamic characteristic signal, more accurate parameter prediction and control can be achieved, the problems of response delay and insufficient precision caused by load changes are effectively solved, and meanwhile, the accuracy of the motorized spindle is improved. And dynamic adjustment of the real-time load condition is combined, so that the motorized spindle keeps high stability and machining precision in a complex and changeable machining environment.

The application discloses a control method, equipment and storage medium of a battery thermal management system, and the control method comprises the following contents: A: adjusting the initial frequency of a compressor according to the ambient temperature; B: starting the compressor, and after the compressor is operated at the initial frequency for an initial operation time t, adjusting the working frequency of the compressor according to the water outlet temperature difference w The application can more stably control the water temperature, reduce over-regulation and shutdown conditions, reduce the power consumption of the thermal management system, adjust the power consumption of the electrical equipment in real time according to the water temperature change, stabilize the water temperature at the target water temperature, reduce the power consumption, and ensure that the battery works in the best temperature range.

The invention discloses a relaxation fluctuation suppression method influenced by temperature change of an optical pump atom magnetometer, and the method comprises the following steps: constructing a relaxation noise model influenced by temperature based on the optical pump atom magnetometer, the relaxation noise model comprising a mapping relation between a measurement error of the optical pump atom magnetometer and a gas chamber temperature of an environment where the relaxation noise model is located; based on the mapping relation and the heat transfer principle, an air chamber heating thermal model is constructed, and the air chamber heating thermal model describes the dynamic relation between the heating film input voltage and the air chamber temperature; updating parameters of the air chamber heating thermal model in real time by applying a self-adaptive model predictive control algorithm; on the basis of the updated thermal model parameters, model predictive control algorithm control is executed so as to restrain air chamber temperature fluctuation, and then relaxation fluctuation of atoms in the optical pump atom magnetometer is restrained; the establishment time and overshoot of air chamber heating are effectively reduced, the low-frequency noise level of the optical pump atom magnetometer is reduced, and the measurement sensitivity is improved.

The present invention provides a vehicle stabilization control method, device and vehicle, wherein the vehicle stabilization control method comprises: obtaining the state parameters of the vehicle; when it is determined that the vehicle is in a sliding slope state according to the state parameters, inputting the target state parameters in the state parameters into a dual-degree-of-freedom controller to obtain a target stabilization torque parameter; wherein the dual-degree-of-freedom controller comprises a first sub-controller and a second sub-controller that performs negative feedback on the first sub-controller; according to the target stabilization torque parameter, controlling the drive motor of the vehicle to output the stabilization torque; the stabilization torque is used to make the vehicle enter a stabilization slope state. When the parameters of the first controller of the dual-degree-of-freedom controller of the present invention are set relatively large, the output stabilization torque parameter can be reduced based on the negative feedback mechanism, thereby reducing the probability of overshoot in the process of controlling the vehicle to stabilize the slope, reducing the vehicle's jumping, and effectively ensuring the stability of the stabilization slope control.

The present invention relates to an intelligent steering based on machine learning, and belongs to the field of steering gear control technology. The method comprises the following steps: planning a tracking path for a ship to return to a target path from a current position, selecting a reference point from the tracking path as a reference point for calculating the error of steering control; obtaining the tracking deviation by setting parameters and detecting parameters, and correcting the operating conditions of the tracking deviation based on a machine learning model; converting the corrected tracking deviation into a steering angle of a steering gear, sequentially establishing a steering control parameter table between two reference points, and using a PD controller to control the output with the steering gear as an actuator; the present invention selects reference points for tracking deviation calculation by planning the tracking path, and compensates for the deviation effect caused by interference factors based on machine learning, thereby improving the accuracy and efficiency of path tracking.