41 results about "Proportional integral differential" patented technology

This invention provides a constant temperature and pressure control method and a high and low temperature low pressure test chamber. Through high-precision sensor array multi-source data acquisition, signal filtering and feature extraction, combined with improved Granger causality test and coupling spectrum construction, the main propagation path and propagation characteristics of various disturbances are identified. By using sliding window online optimization and dynamic weight matrix, the disturbance suppression mechanism is embedded in the PID loop to achieve multi-channel weighted compensation of proportional, integral and derivative components. This invention can accurately identify and compensate for external disturbances of different paths, time sequences and frequency bands in real time, improve the control accuracy and anti-interference ability of the system, and ensure the stability and robustness of the test chamber operation.

The invention discloses a control torque determining method of a motor in a wheel steering system and a rear wheel steering method, the wheel steering system comprises the motor and a rack, the control torque determining method of the motor comprises the steps that input information is acquired, and the input information comprises target parameter information and actual parameter information of the rack or the motor; according to an error between the actual parameter information and the target parameter information, performing proportional-integral-differential operation to obtain a target control torque for controlling the motor, so that the motor drives the rack to move under the control of the target control torque; wherein when the integral operation of the proportional-integral-differential operation is carried out, the integral operation result is limited within a set range, and the set range is related to the error. According to the method for determining the control torque of the motor in the wheel steering system, the operation range of the integral term in PID control is limited, so that overlarge motor control torque and system oscillation caused by excessive accumulation of the integral term are avoided, and the energy consumption of continuously outputting high torque by the motor is reduced.

This invention discloses a method and system for dynamically adjusting the calibration cycle of electricity meters, relating to the field of smart grid electricity metering technology. The invention first uses an edge computing module to receive multiple self-diagnostic signals uploaded by the electricity meter. After judging the validity of the signals, it calculates the comprehensive degradation trend index and its rate of change. Based on the rate of change, it generates calibration cycle compression or extension instructions in real time. Simultaneously, an incremental proportional-integral-derivative controller corrects the adjustment strategy based on measured error feedback. The intermediate correction data is then uploaded to the cloud-based metering data center, where the cloud updates the degradation model parameters for the same batch and issues the long-term baseline calibration cycle. This invention enables closed-loop dynamic adaptive adjustment of the electricity meter calibration cycle, effectively improving the reliability of electricity metering, reducing metering operation and maintenance costs, and is applicable to the full lifecycle operation and maintenance management of smart grid electricity meters.

The present application relates to the technical field of digital twinning, and provides a hoisting method, device, equipment and medium for large wind power components in complex terrain, which can perform hierarchical desensitization on multi-source data based on a federated learning horizontal encryption algorithm, so as to avoid data leakage; the digital twinning technology is adopted, the corresponding building information model of the hoisting area and the locally decrypted multi-source original data set are mapped to a virtual simulation scene model, full-factor digital mapping of hoisting operation is realized; an improved terrain adaptability predictive control algorithm is adopted, hoisting whole-process virtual deduction is performed based on blade swept envelope modeling and hoisting scene simulation modeling, optimal hoisting path planning is realized under the premise of fully considering envelope constraints; hoisting posture real-time correction is performed based on a thermal deformation compensation mechanism and an improved proportional-integral-derivative control algorithm, which can offset the component size change caused by temperature difference and reduce posture deviation; hierarchical risk early warning is performed based on a long short-term memory network, which can effectively improve operation safety.

A method for controlling an electromechanical braking (EMB) unit in a vehicle includes: determining a clamping force deviation as the difference between a requested clamping force and an actual clamping force; using a proportional-integral-derivative (PID) control loop and based on the clamping force deviation to determine a command for a brake actuator; determining an operating state of the EMB unit as either a clamping request or a release request; and selectively enabling integral control of the PID control loop based on the operating state of the EMB unit.

The application relates to the technical field of hydraulic transmission control, and discloses a method and system for driving and controlling a plunger pump by a servo motor, wherein the method for driving and controlling the plunger pump by the servo motor comprises the following steps: obtaining initialization data and equipment configuration parameters of a servo motor control system; performing hardware state detection and pressure working condition parameter configuration through a controller; establishing a quantitative relationship between the rotating speed of the servo motor and the output flow of the plunger pump; performing pressure working condition identification and mode switching, and verifying the working characteristics of the plunger pump; performing solenoid pulse width modulation control; determining a current working mode, performing mode-specific rotating speed strategy formulation and proportional-integral-derivative parameter adaptive control; and performing multi-mode performance comparison and cooperation effect analysis; the application can intelligently identify pressure working condition changes and automatically perform smooth mode switching, thereby ensuring optimal control performance under different working conditions.

The application relates to the technical field of power load regulation, and discloses a method and system for dynamic scheduling of charging pile power. The method comprises the following steps: obtaining a real-time data sequence containing a basic load and a charging pile load, and obtaining a load fluctuation trend after denoising by using a Kalman filtering algorithm; calculating an instantaneous change rate of the basic load, and determining a power offset amount that needs to be compensated on the charging pile side when the instantaneous change rate exceeds a preset change threshold; inputting the power offset amount into a proportional-integral-derivative control algorithm to generate a preliminary power scheduling instruction for each charging pile; verifying and amplitude correcting the preliminary power scheduling instruction in combination with an upper limit of a total load of a transformer area to obtain an optimized power scheduling instruction; controlling each charging pile to adjust output power, generating a scheduled total load curve and performing stability verification; and when a verification result does not satisfy a preset safety threshold, updating Kalman filtering algorithm parameters and using the updated Kalman filtering algorithm parameters for subsequent real-time data processing. The method can improve the real-time performance, stability and safety of transformer area load regulation.

The application discloses an end face grinding processing method for clamping a high-voltage switch stepped shaft part, and relates to the technical field of part grinding processing. The method comprises the following steps: obtaining an end face grinding force of the stepped shaft part in the end face grinding process of the stepped shaft part; analyzing the end face grinding force of the stepped shaft part to determine an actual vibration influence intensity of the stepped shaft part; the actual vibration influence intensity is used for representing the intensity of the actual vibration influence on the stepped shaft part in the end face grinding process; based on the actual vibration influence intensity of the stepped shaft part, the control parameters of proportional-integral-derivative control of the stepped shaft part in the end face grinding process are adjusted; and the control parameters are used for controlling the end face grinding of the stepped shaft part. The application can improve the end face grinding precision, thereby meeting the machining precision requirement of the high-voltage switch stepped shaft.

This invention provides an active bias magnetization cancellation method and system based on grid-side reverse DC injection. Based on metro operating data, a bias magnetization feedforward prediction model is used to predict the DC bias magnetization trend caused by stray currents. Based on the DC current value and the DC bias magnetization trend, a hybrid feedback controller integrating sliding mode control and proportional-integral-derivative (PID) algorithm is used to generate a compensation current signal. Based on the compensation current signal, a silicon carbide-based bidirectional DC-DC converter installed at the transformer neutral point is controlled to output a reverse DC injection current with controlled amplitude and polarity. This current is used to generate a magnetomotive force in the transformer opposite to the DC bias magnetization trend, thus actively canceling the transformer's DC bias magnetization. This shifts the focus of the control from the traditional metro side to the grid side, eliminating the need to modify the metro system. Active bias magnetization cancellation can be achieved simply by connecting a silicon carbide-based bidirectional DC-DC converter on the grid side, reducing modification costs and complexity, and contributing to the safe and stable operation of the power system.

The application provides a local differential privacy method and system for Internet of Things time series data publishing, and belongs to the technical field of data privacy protection. The scheme breaks the limitation of traditional independent disturbance values or time stamps, and protects the "time-value" pair as an indivisible privacy unit by co-disturbing the time stamp and the value. Secondly, the proportional-integral-derivative (PID) control framework is innovatively introduced to model the dynamic behavior of time series data, realizing fine-grained adaptive disturbance intensity allocation based on the data change mode. Finally, by designing a comprehensive utility function combining time offset, value offset and time-value correlation offset, and using the efficient sampling strategy of tournament selection in the candidate set, the key dynamic patterns and correlation structures in the original time series data are maximized while ensuring strict and provable local differential privacy protection.

Event-based execution of proportional integral derivative (PID) control function blocks. An event delay generator associated with the PID control function block receives an output event from the PID control function block and generates an event request in response to receiving the output event. The event delay generator provides the event request to the PID control function block and the PID control function block is configured to execute a PID control loop feedback process in response to event request. The PID control function block drives a process value toward a setpoint using an adaptive threshold that is a function of a moving average of the error between the two values.

The application discloses a calibration cycle dynamic adjustment method and system for an electric energy meter, relates to the technical field of smart grid electric energy metering, and first receives multiple types of self-diagnosis signals uploaded by the electric energy meter by an edge computing module, then calculates a comprehensive degradation trend index and a change rate thereof after judging the effectiveness of the signals, generates a calibration cycle compression or extension instruction in real time according to the change rate, simultaneously corrects and adjusts the strategy based on the measured error feedback by means of an incremental proportional-integral-derivative controller, and then uploads the medium-term correction data to a cloud measurement data center, so that the cloud updates the same batch degradation model parameters and issues a long-term baseline calibration cycle. The application can realize closed-loop dynamic self-adaptive adjustment of the calibration cycle of the electric energy meter, effectively improves the electric energy metering reliability, reduces the measurement operation and maintenance cost, and is suitable for the whole life cycle operation and maintenance management of the smart grid electric energy meter.

A method comprising modifying an integral parameter with an anti-windup correction; modifying a derivative parameter with a bandlimited derivative; and modulating a control signal in accordance with a global optimum that corresponds to one or more operating conditions of a plant system.

The application relates to the technical field of tea production line automation control, and discloses a tea production line automation control method and system, which obtains initial state data of tea and obtains initial moisture content data according to physical property differences of fresh leaves, effectively solves the systematic deviation problem of a moisture content sensor caused by diversified fresh leaf batches in the prior art, and ensures the accuracy of initial data in a drying process. In the drying process, the method can obtain moisture state data of the tea, energy consumption data of a drying device and quality data of the tea in real time, and dynamically adjusts drying parameters based on the multidimensional data, so that the problems of low drying efficiency and unstable tea quality caused by inaccurate data of a proportional-integral-derivative controller are overcome.

This invention discloses a control method for an electrically heated molten salt energy storage system, belonging to the field of energy storage technology. The method includes: determining the percentage of the design power of the first and second stage heaters relative to the total design power using a comprehensive weighted method based on the per-unit value of the power plant's annual output data; calculating the design volume of the intermediate tank based on the flow rate and buffer time under the system's design operating conditions; formulating flow control strategies for the first and second stage heaters and input power allocation strategies: stabilizing the outlet temperature of the second stage heater using a proportional-integral-derivative controller, based on the outlet temperature of the first stage heater, the liquid level in the intermediate tank, and the safe flow rate of the first stage heater; and implementing the input power allocation strategy based on the matching relationship between the total system input power and the design power of the second stage heater, with the first stage heater absorbing all fluctuations in the system's input power and the second stage heater operating at its design power. This invention improves the system's adaptability in scenarios with high proportions of renewable energy fluctuations.

This invention discloses a self-tuning temperature control method, system, device, and storage medium for a glove box, belonging to the field of automatic temperature control technology. The method includes: acquiring real-time temperature data inside the glove box based on the temperature acquisition module; triggering a self-tuning operation when switching to the current operating mode of perovskite thin film preparation: obtaining the temperature deviation based on the pre-acquired current target temperature and real-time temperature data, and performing temperature self-tuning calculations based on the pre-acquired current operating condition identification parameters and the temperature deviation to obtain proportional-integral-derivative (PID) parameters; obtaining a switching time modulation strategy based on the PID parameters, and then controlling the water cooling device to regulate the temperature of the glove box based on the switching time modulation strategy. This invention discloses a self-tuning temperature control method, system, device, and storage medium for a glove box, enabling precise temperature control inside the glove box.

This application relates to a motor control method, apparatus, computer equipment, computer-readable storage medium, and computer program product. The method includes: updating a mathematical model of the linear motor based on an excitation signal and the response position data of the mover in the linear motor; inputting a first control signal output from a proportional-integral-derivative (PID) controller to the mathematical model to obtain simulated position data; superimposing the output of the mathematical model onto the input of the PID controller in the form of negative feedback, wherein the control parameters of the PID controller are determined based on an intelligent optimization algorithm; and, if the simulated position data meets preset evaluation conditions, inputting the deviation data between the target position data and the actual position data of the mover to the PID controller, and controlling the linear motor based on a second control signal output from the PID controller. This method can improve the control effect of a stator-following linear motor in an air-bearing platform.

The embodiments of the present application disclose a welding device and a welding system for improving the thermal uniformity of a heated object. The embodiments of the present application comprise a plurality of laser units, a plurality of thermometers, a controller and a bearing platform; the bearing platform is provided with a bearing surface for bearing the heated object; the bearing surface is divided into a plurality of sub-zones in advance; each of the plurality of laser units is arranged opposite to the bearing surface, and different laser units are used for emitting laser to different sub-zones of the bearing surface; each of the plurality of thermometers is arranged opposite to the bearing surface, and different thermometers are used for collecting the temperature of different sub-zones of the bearing surface; the controller is electrically connected with the laser unit and the thermometer corresponding to each of the sub-zones, and the controller is used for adjusting the power of the laser unit of each sub-zone based on a proportional-integral-derivative control method, so that the temperature collected by the thermometer of each sub-zone is maintained at the same temperature.

The application discloses a vehicle control method and a driving direction control system, which acquires the lateral deviation of a vehicle from a lane center line in real time, and when a preset compensation condition is met, dynamically compensates a proportional integral differential controller for lateral control according to the lateral deviation and its associated characteristic parameters, and then generates a direction correction instruction to adjust the driving direction of the vehicle. The method can adaptively match the PID control parameters to the current driving condition, effectively overcome the defects of response lag or control overshoot of fixed parameter control in complex scenes, significantly improve the accuracy and stability of the vehicle in the middle of the lane, and maintain good control performance under different conditions.

A standard proportional-integral-derivative (PID) control device for outputting a digital pulse width modulation (DPWM) signal and a method thereof according to one embodiment of the present invention may output a DPWM signal adopting an integer-based calculation method, and a difference PID control device for outputting a DPWM signal and a method thereof according to another embodiment of the present invention may output a DPWM signal adopting an integer-based calculation method.

Some embodiments of the present application show a display device and a media data downloading method, the method comprising: in response to an instruction to play media data, determining a playing definition of the media data and a target cache data amount corresponding to the playing definition; obtaining a download chain cache data amount; calculating a difference between the download chain cache data amount and the target cache data amount; inputting the difference into a proportional integral model or a proportional integral derivative model to obtain a regulation value; determining a regulation mode based on the regulation value; and downloading the media data according to the regulation mode. Based on the training of the proportional integral model or the proportional integral derivative model, the regulation mode can be determined according to the current cache data amount, and after regulation, the spare bandwidth in the network environment can be fully utilized, the subsequent data is downloaded in advance, and the network is not easily broken when encountering large fluctuations, thereby improving the user experience.

This invention discloses a method for estimating the state of charge (SOC) against fluctuating current. It acquires the real-time current and terminal voltage of the power battery to estimate the basic SOC. Based on a dual hysteresis threshold, the sample time proportion of the real-time current sequence within the target time window, and a transient pulse filtering mechanism, it accurately identifies the actual switch between steady-state and dynamic operating conditions. Responding to the operating condition switch, a dynamic weight fusion strategy is adopted within a preset transition period to acquire in parallel the proportional-integral-derivative (PID) control algorithm correction amount with the terminal voltage residual as input, and the state observation filtering algorithm correction amount with the basic SOC as the state variable. The weights of the two correction amounts are linearly and smoothly varied over time and then weighted and fused to calculate the final target SOC to manage the charging and discharging process of the power battery. This invention effectively filters out transient current interference, eliminates the step jump in estimated values ​​caused by hard switching of the underlying algorithm, and balances the steady-state accuracy of the estimation with high dynamic tracking response.

The application discloses a vehicle driving control method and device and a vehicle, and applies to the technical field of vehicle control. The method comprises the following steps: in the case that the real-time vehicle speed of a target vehicle is greater than or equal to a vehicle speed threshold, acquiring the real-time yaw angular velocity and the real-time center of mass side slip angle of the target vehicle at the real-time vehicle speed; determining the proportional integral differential control parameter of the target vehicle according to the real-time yaw angular velocity and the real-time center of mass side slip angle; determining the target longitudinal force difference value of the target vehicle according to the proportional integral differential control parameter; and performing driving control on the target vehicle according to the target longitudinal force difference value. The application fully considers the two key factors of the yaw angular velocity and the center of mass side slip angle of the vehicle, realizes the driving control of the target vehicle under lateral disturbance, can comprehensively reflect the actual driving condition of the vehicle under lateral disturbance, reduces the yaw influence of the vehicle caused by lateral disturbance, and further effectively improves the control precision of the vehicle under lateral disturbance.

Event-based execution of a proportional-integral-derivative (PID) control function block. An event delay generator associated with the PID control function block receives an output event from the PID control function block and generates an event request in response to receiving the output event. The event delay generator provides the event request to the PID control function block, and the PID control function block is configured to execute a PID control loop feedback process in response to the event request. The PID control function block drives a process value to a setpoint using an adaptive threshold that is a function of a moving average of an error between two values.

This disclosure relates to a method for performing autofocus (AF) operations of a camera system including a first camera module and a second camera module, the method comprising: calculating a first settling time when the first camera module performs AF operations using a first proportional-integral-derivative (PID) constant value, the first settling time being a settling time of the first camera module; calculating a second settling time when the second camera module performs AF operations using a second PID constant value, the second settling time being a settling time of the second camera module; resetting the second PID constant value when the second settling time differs from the first settling time; and having the second camera module perform AF operations using the reset second PID constant value. This disclosure also relates to a camera system.

The application relates to the technical field of power load regulation, and discloses a method and system for dynamic scheduling of charging pile power. The method comprises the following steps: obtaining a real-time data sequence containing a basic load and a charging pile load, and obtaining a load fluctuation trend after denoising by using a Kalman filtering algorithm; calculating an instantaneous change rate of the basic load, and determining a power offset amount that needs to be compensated on the charging pile side when the instantaneous change rate exceeds a preset change threshold; inputting the power offset amount into a proportional-integral-derivative control algorithm to generate a preliminary power scheduling instruction for each charging pile; verifying and amplitude correcting the preliminary power scheduling instruction in combination with an upper limit of a total load of a transformer area to obtain an optimized power scheduling instruction; controlling each charging pile to adjust output power, generating a scheduled total load curve and performing stability verification; and when a verification result does not satisfy a preset safety threshold, updating Kalman filtering algorithm parameters and using the updated Kalman filtering algorithm parameters for subsequent real-time data processing. The method can improve the real-time performance, stability and safety of transformer area load regulation.

The application discloses a kind of control method of rotating member, system and the control method of bearing, wherein, the control method of rotating member includes: obtaining rotating member identification information and rotating state information;When rotating member identification information and the current response rotating member identification information do not match, the initial value of Proportional-Integral-Derivative neural network model is updated according to the obtained rotating member identification information;The control parameter of Proportional-Integral-Derivative controller is calculated using rotating state information and the updated Proportional-Integral-Derivative neural network model;The rotating control value is obtained by processing rotating state information using Proportional-Integral-Derivative controller, to control rotating member.By updating initial value, control parameter is recalculated, and targeted control of different rotating members is realized.The control stability and program universality of rotating member control system are improved.The application solves the technical problem of the decline of rotating member control system stability caused by unreasonable selection of control parameter.

The present application belongs to the technical field of combustion control, and particularly relates to a kind of intelligent monitoring regulation and control method of biomass boiler low-nitrogen combustion technology, comprising: collecting key operation data of furnace to construct time series data set;Current combustion quality evaluation value is calculated using time weighted sliding monitoring window;Based on historical data clustering, historical combustion state cluster is constructed, and current combustion quality benchmark value is obtained by matching;The combustion quality evaluation value is compared with the combustion quality benchmark value, the oxygen concentration time weighted value of target reference sample point is used to determine the air volume adjustment direction, and the air volume adjustment step factor is calculated;The proportional parameter of dynamic correction proportional integral differential controller is realized adaptive adjustment of air supply amount.The present application can continuously adjust the air supply amount with the change of combustion state, effectively overcome the regulation lag, improve the combustion stability, reduce the emission of nitrogen oxides and improve the boiler operation efficiency.

The application discloses a flexible intelligent thermoelectric refrigeration forehead band based on the Peltier effect and a control method thereof, and particularly relates to a flexible wearable device and a control method thereof which dynamically adjust refrigeration power according to body surface temperature, aiming at solving the problems of array peeling, sensor thermal cross talk, temperature control lag and frostbite caused by the rigid-flex mismatch of materials in the forehead band. The forehead band mainly comprises a flexible substrate layer, a multi-source information sensing module, a multi-layer gradient thermoelectric refrigeration array, a flexible heat dissipation layer and a micro control unit. The refrigeration array adopts a three-dimensional collaborative size gradient arrangement, and the electrode wiring adopts an outward convex arc-shaped bypass topology which avoids the sensing module; the micro control unit introduces a cooling rate safety slope as an anti-subcooling protection mechanism based on the adaptive setting of proportional-integral-derivative parameters of a physiological model and a fuzzy logic. The forehead band and the control method thereof can release bending stress to prevent peeling, physically cut off a thermal cross talk path, and realize safe and accurate closed-loop cooling.

An example method for providing cooling capacity and reducing power consumption of a server assembly is disclosed. The method includes receiving temperature information corresponding to a CPU of an electrical component in the server assembly, which further includes an equipment room, and a cabinet fan module positioned adjacent to a side of the equipment room. The cabinet fan module includes electric fans therein, and the electrical component is implemented in the equipment room. The method includes determining a current power level of the CPU, and determining, using the temperature information and the current power level, a first operating speed for the electric fans. Furthermore, the method includes combining the first operating speed with a second operating speed received from a proportional-integral-derivative controller to determine a combined operating speed. The method still further includes instructing the electric fans to operate at the combined operating speed.