27results about How to "Small overshoot" patented technology

The invention provides an anti-interference control method for the concentration of a main reactant in a continuous stirring reaction kettle process, belongs to the technical field of chemical process control, and solves the problem that in the chemical process of producing cyclopentanol by catalyzing electrophilic water with cyclopentadienoic acid, the concentration of the main reactant is not influenced. The technical problem that the concentration of a main reactant is difficult to track a set value without steady-state errors under the conditions of fluctuation of feeding concentration, uncertainty and external disturbance of the continuous stirring reaction kettle is solved. According to the technical scheme, the method comprises the steps of constructing a model pre-estimation compensator and an anti-interference control structure, designing a four-dimensional decision model, carrying out parameter collaborative optimization by adopting a multi-target genetic optimization algorithm, and carrying out optimal solution selection based on a TOPSIS method. Under the condition of feed concentration fluctuation, the dynamic response speed and the anti-interference capability of the system can be remarkably improved, and faster adjustment time, smaller overshoot and stronger robustness can be realized in linear and nonlinear models.

The invention discloses a plasma activated water preparation system based on fuzzy PID (Proportion Integration Differentiation) adaptive temperature and power matching cooperative control. The plasma activated water preparation system comprises a human-computer interface, a main controller, a temperature / power sensor, a parallel double fuzzy PID controller, an intelligent coordinator, a power / temperature actuator and a plasma reaction machine, a temperature / power sensor sends a water body temperature Tfb and a discharge power Pfb to a main controller in real time, a temperature fuzzy PID controller and a power fuzzy PID controller output suggested powers Ut and Up, an intelligent coordinator outputs a final power instruction and a cooling control signal after arbitration according to a state machine that Tfb is smaller than or equal to Tset normal power, Tfb is larger than Tset and Pfb is larger than Pmin and power is preferentially reduced, and Tfb is larger than Tset and Pfb is smaller than or equal to Pmin and is forcibly cooled. And the power actuator continuously adjusts the discharge power according to the discharge power, and the temperature actuator implements auxiliary heat dissipation, so that the water temperature is accurately locked in the optimal active matter generation interval under the nonlinear and time-varying working conditions, the discharge intensity is ensured not to be lower than Pmin, and high-activity, high-energy-efficiency, continuous and stable plasma activated water preparation is realized.

The invention provides a PI controller parameter optimization method, a PI controller and a grid-connected inverter, and the method comprises the steps: firstly, determining an allowable range of a current loop bandwidth, taking the value range of controller parameters as a constraint, and taking the minimum overshoot, the highest response speed and the minimum reactive current change as targets; and parameters of the current loop dynamic performance model are optimized according to a simple gradient method. According to the method, high accuracy can be achieved through less test data through the current loop dynamic performance model, the relation between controller parameters and output variables can be accurately reflected, a reliable basis is provided for parameter optimization, the parameter optimization process is more efficient due to application of the simple gradient algorithm, and the method is suitable for large-scale popularization and application. The optimal solution can be found in a short time, the optimized controller can achieve the good decoupling performance of a current loop, and especially when the active current changes greatly, the optimized controller can remarkably reduce the change of the reactive current, so that the dynamic performance of the system is improved.

The present application relates to the technical field of water supply control, and discloses a single-water-tank multi-well water collection system control method and system, which is suitable for the automatic control scene of water supply of multiple water wells to the same water collection tank, and comprises the following steps: collecting or receiving the real-time liquid level of the water tank, the flow of each well and the water outlet flow at the rear end of the water tank formed by direct collection of field sensors, obtaining the total water inlet flow, and forming a dynamic equivalent cross-sectional area sample according to the total water inlet flow, the water outlet flow at the rear end of the water tank and the change of the real-time liquid level of the water tank at the adjacent sampling time; when the sample meets the direction consistency, distinguishability and signal effectiveness check, a liquid level-dynamic equivalent cross-sectional area fingerprint is generated, and then the liquid level difference between the current real-time liquid level of the water tank and the target liquid level is converted into a volume deviation, the total water inlet demand is determined according to the volume deviation and the water outlet flow at the rear end of the water tank, and the well pump group start-stop command and the variable frequency frequency command are output.

The invention provides a control system and an anti-disturbance method of an electromagnetic bearing, a rotor position outer ring is controlled by a non-singular fast terminal sliding mode controller, external disturbance borne by the system is estimated in real time by introducing a non-linear disturbance observer, and an estimation result is fed back to a position controller for compensation; the input of the position controller is the difference value between the given position and the feedback position of the magnetic bearing rotor, and the output value is the reference value of the current loop control current; a stator coil inner ring is controlled by a nonsingular fast terminal sliding mode controller, input values of the controller comprise a current bias value + a current reference value output by a position ring and a current bias value-a current reference value output by the position ring, and an output quantity is a driving PWM signal duty ratio of a magnetic bearing stator coil; driving the PWM signal to be output to the power amplifier; the power amplifier supplies power to the stator coil; the axial thrust load sudden change anti-disturbance capability can be enhanced, it is ensured that when the thrust load suddenly changes, the magnetic bearing maintains stable suspension of the rotor, and anti-disturbance control is achieved.

The invention provides a new energy unit transient stability optimization method and system based on active feed-forward, and belongs to the field of new energy power generation. The system includes a current command generator and a current controller. The method comprises the steps of collecting terminal voltage and current of a unit, calculating active power and detecting a transient fault; when a fault is detected, generating an active current instruction through active feed-forward control based on power grid voltage information obtained by an active power signal, a fault voltage amplitude signal and phase locking; meanwhile, a reactive current instruction is generated; a current reference instruction is synthesized, and a converter is driven through closed-loop control to provide power support. According to the method, an active feed-forward mechanism is introduced, so that the new energy unit can respond to the power shortage of the power grid in advance, active and reactive support is quickly provided, frequency drop and power oscillation in the transient process are effectively inhibited, and the transient stability of the power system under the access of high-proportion new energy is remarkably improved.

The application relates to the technical field of monitoring control systems, and provides an industrial AI closed-loop self-adaptive monitoring control system, which comprises a data acquisition module, a data preprocessing module and a feature extraction module; the data acquisition module comprises a multi-source sensor unit and is used for collecting state parameters of an industrial process in real time; the data preprocessing module comprises an abnormal value detection and processing unit and a data normalization unit and is used for cleaning and standardizing the state parameters; the feature extraction module comprises a time domain feature extraction unit, a frequency domain feature extraction unit and a time sequence feature fusion unit based on an attention mechanism and is used for generating a multi-dimensional fusion feature vector from the standardized data. Through multi-source data processing, time-frequency feature fusion and mixed neural network modeling, the industrial process monitoring precision and health evaluation reliability are improved; PID parameter self-adaptive optimization is realized in combination with reinforcement learning, safety protection and online updating are matched, the closed-loop control performance is significantly improved, complex working conditions are adapted, and the stable and efficient operation of the industry is ensured.

The application relates to the technical field of data processing, and discloses an airborne optoelectronic platform turning system, which comprises the following: a nonlinear controller, a selection switch, a current loop controller, a power driving element, a motor, a current feedback element, a speed feedback element, an angular position feedback element, a first error transformation processing unit, a position loop controller, a second error transformation processing unit and a speed loop controller. The nonlinear given value output by the nonlinear controller is used to make the airborne optoelectronic platform rotate to a preset angle. However, the nonlinear given value will cause large overshoot, which is not conducive to the requirement of fast turning stability. Therefore, the second phase current is determined through the speed loop controller and the position loop controller, and the motor is controlled by adopting the closed-loop phase second phase current, so that the airborne optoelectronic platform is rotated to a position of 180 degrees, the overshoot amount of fast turning is reduced, and the 180-degree fast turning of the airborne optoelectronic platform is realized.

This invention belongs to the field of intelligent fitness equipment technology, and provides a zoned temperature-controlled therapeutic intelligent yoga mat and its control method. The yoga mat includes: a mat body, which is composed of an antibacterial sensing layer, a zoned heating layer, an intelligent spacing layer, a cushioning layer, and an adjustable friction bottom layer; the zoned heating layer contains multiple independent heating units, corresponding to the abdominal, hand and foot, and spinal areas respectively; an intelligent control module, which independently and precisely controls the temperature of each area based on the different target temperatures set by the user for each independent heating unit through an interactive terminal, combined with feedback from the zoned temperature sensors; the intelligent spacing layer integrates optical guide lines and a pressure sensor array to provide posture reference and sense the center of gravity distribution, providing real-time posture feedback to the user in conjunction with the intelligent control module. This invention solves the problems of existing heated yoga mats, such as single heating mode, lack of interactive guidance, difficulty in adapting to multiple scenarios, and in achieving precise therapeutic effects, thus improving safety, comfort, and exercise effectiveness.

The invention discloses an air pre-heater temperature control optimization method for thermal power generation, and belongs to the technical field of control optimization, and the method comprises the steps: constructing an air pre-heater inlet air temperature PID control system, obtaining an actual air temperature feedback value through an inlet air temperature monitoring module, and transmitting the actual air temperature feedback value to an inlet air temperature error calculation module; the inlet air temperature error calculation module receives the target temperature value and compares the target temperature with a feedback value so as to calculate and output a real-time error signal and transmit the real-time error signal to the inlet air temperature PID controller module, and the inlet air temperature PID controller module subjected to parameter optimization calculates a control quantity according to the real-time error signal; and the control quantity is output to the inlet air temperature adjusting module so as to adjust the inlet air temperature of the air pre-heater. The risk of corrosion and dust deposition of the low-temperature section of the air pre-heater can be effectively reduced, and the high use value is achieved for guaranteeing safe operation of a thermal power generation system and improving the fine operation level.

The application discloses a kind of based on EPS's line park integrated control method, it is related to automobile intelligent driving technical field, to solve the problem of response delay, moment mutation and poor smoothness caused by the need to rehandshake when switching the driving and parking function in prior art, the technical scheme is that EPS and upper control system establish the same handshake logic and define state machine;In active state, distinguish driving or parking control logic according to upper instruction, no need to rehandshake when switching function;During switching process, the smooth processing of the output torque is reduced and raised slowly, and the buffer time can be adjusted adaptively according to the vehicle speed;The application realizes the seamless switching of driving and parking function, the response time is short, the output torque is smooth, the overshoot is small, and the user experience of intelligent driving lateral control is significantly improved.

This invention discloses a control method for a proportional solenoid valve used in a hydraulic retarder, mainly addressing the technical problems of existing control methods, such as long pressure response time, large overshoot, and poor tracking performance. The control method includes: periodically acquiring the feedback pressure of the hydraulic retarder's working chamber and the input signal of the proportional solenoid valve; determining the current target pressure request state and calculating the current target current of the proportional solenoid valve based on the determination result; calculating the current duty cycle of the proportional solenoid valve; finally, superimposing chatter and outputting the final duty cycle, thereby achieving control of the proportional solenoid valve used in the hydraulic retarder. This control method can achieve precise control of the proportional solenoid valve and has the advantages of short response time, small overshoot, and good tracking performance.

The invention discloses a position control method of a hydraulic servo system, and relates to the technical field of hydraulic servo systems. The method comprises the steps of obtaining an application range of the hydraulic servo system and marking the application range as an initial range; based on the initial range, determining a moving position range of the hydraulic servo system in the initial range and marking the moving position range as an initial search range; based on the initial search range, a final search range is obtained through calculation according to a final range correlation function, and the optimal movement position of the hydraulic servo is determined in the final search range and marked as an execution position; re-determining an execution position according to an execution correlation function based on the final search range; and controlling the hydraulic servo system to move to the execution position by utilizing the super-spiral sliding mode controller based on the execution position. The position control performance of the hydraulic servo system is improved.

This invention provides an AC fault ride-through control device and method for wind power flexible DC grid-connected systems, belonging to the field of flexible DC transmission and new energy grid connection technology. Addressing the DC-side power redundancy and overvoltage issues caused by AC grid faults at the receiving end when wind power is connected to the grid via a modular multilevel converter (MWC) type HVDC transmission system, two control modes are proposed: First, when the DC voltage exceeds a preset threshold, the WFMMC initiates a step-down control; the energy storage system switches to a constant power control mode to adaptively absorb redundant power, and the wind turbine GSVSC maintains constant DC voltage control. Second, after the WFMMC initiates step-down control, the wind turbine GSVSC switches to a constant power control mode based on the grid connection point voltage deviation, and the energy storage system switches to a constant DC voltage control mode to absorb remaining power. This invention achieves redundant power storage, effectively suppresses DC voltage fluctuations, and improves the dynamic stability and operational reliability of the system during fault ride-through.

The application provides a control method and system for heating furnace combustion optimization, comprising the following steps: S1, connecting a control station with an original fuel control system through Ethernet, and connecting a control manual channel of the original fuel control system; S2, performing temperature control, using relevant valve experience data and furnace change response data to confirm the change amount of the valve and the temperature change corresponding relationship; S3, using actual temperature field change data to perform operation judgment, and sending an execution signal to the relevant valve through temperature difference calculation selection; S4, completing air flow control by the relevant air valve; and S5, sending a control signal to the original fuel control system to complete control. The application improves the combustion stability of the heating furnace, reduces the high dependence on manual operation experience at present, reduces gas consumption and oxidation loss, has high control precision, fast speed response, stable combustion trend, reasonable air-fuel ratio, low modification difficulty and connection safety.

The utility model relates to unloading valve performance inspection technical field, concretely relates to a kind of test platform for unloading valve performance inspection, including oil storage tank, oil storage tank is connected with high pressure side oil inlet pipeline and low pressure side oil inlet pipeline respectively, and high pressure side interface of high pressure side oil inlet pipeline is used to connect with the unloading valve to be tested, and low pressure side interface of low pressure side oil inlet pipeline is used to connect with the unloading valve to be tested;High pressure side oil inlet pipeline is equipped with pneumatic oil pump one and pressure sensor one, and pressure sensor one is located between pneumatic oil pump one and high pressure side interface;Low pressure side oil inlet pipeline is equipped with pneumatic oil pump two and pressure sensor two;Pneumatic oil pump one is connected with wind bag by gas supply pipeline one, and gas supply pipeline one is equipped with proportional valve one;Pneumatic oil pump two is connected with wind bag by gas supply pipeline two, and gas supply pipeline two is equipped with proportional valve two.The utility model sets two proportional valves, can simulate the partial oil circuit pressure fluctuation in unloading valve actual work, improves test accuracy.

The embodiment of the invention discloses a grid-connected control method and device for a network-forming converter and a storage medium. The grid-connected control method for the grid-forming converter comprises the following steps: if a grid-connected switch signal of a grid-connected switch is a closed signal, acquiring the current active power of the grid-forming converter; obtaining an electrical parameter adjustment instruction value according to the current active power and a preset active-frequency loop control model; wherein the active-frequency loop control model is determined according to an off-grid internal potential rotor angle parameter of the network construction type converter, a voltage phase angle of a power grid and a rotor angle motion model of the network construction type converter; and the electrical parameter adjustment instruction value is sent to the network construction type converter to execute electrical parameter control so as to reduce electrical parameter overshoot output by the network construction type converter. According to the scheme, the change of the electrical parameters including the active power, the reactive power and the frequency output by the network construction type converter can be more relaxed, and the energy impact brought to the power grid when the network construction type converter is connected to the grid is relieved.

This invention discloses a segmented control method and device for an electric compressor based on a CO2 heat pump system. The method includes: PID control of the compressor speed, using the difference between the target temperature and the actual temperature as input and the compressor speed control quantity as output; real-time acquisition of the difference between the target temperature and the actual temperature for segmented control: in the rapid adjustment phase, the three PID parameters are set relatively large; in the slow adjustment phase, the three PID parameters are set relatively small; in the stable phase, the three PID parameters are set to fixed values; after the actual temperature first reaches the target temperature, the integral and derivative coefficients are adjusted according to the temperature overshoot; finally, the electric compressor of the CO2 heat pump system is controlled according to the compressor speed control quantity. This invention can effectively reduce system overshoot in actual control, enabling the actual temperature to quickly stabilize around the target temperature ±1 degree, and enabling rapid stabilization of the air conditioning vent temperature, improving driving reliability and comfort.

The application relates to a kind of three-phase dual active bridge DC converter hybrid modulation robust control methods, comprising: obtaining target voltage, primary side DC voltage and secondary side DC voltage;The target voltage is input to robust controller, and control output variable is obtained;The voltage variable ratio of three-phase dual active bridge DC converter is calculated;Control output variable and the voltage variable ratio of three-phase dual active bridge DC converter are input to hybrid modulation strategy controller, and target primary side duty ratio, target secondary side duty ratio and target primary-secondary two sides phase shift angle are obtained;Target primary side duty ratio, target secondary side duty ratio and target primary-secondary two sides phase shift angle are input to respective slow loop controller for decoupling, and primary side duty ratio control amount, secondary side duty ratio control amount and primary-secondary two sides phase shift angle control amount are obtained, and three-phase dual active bridge DC converter is controlled.The application can improve system robustness, so that the system has faster response speed, smaller steady-state error and smaller overshoot.

The application provides a grid-connected inverter adaptive virtual impedance stabilizing control method and system, obtains a grid-connected point voltage amplitude, an inverter side current amplitude and a power angle, calculates a grid impedance amplitude according to the grid-connected point voltage amplitude, the inverter side current amplitude and the power angle, records a calculated value as a grid impedance initial amplitude and saves the grid impedance initial amplitude when the calculated grid impedance amplitude reaches stability for the first time, obtains a difference value of the impedance amplitude by subtracting the grid impedance initial amplitude from the calculated grid impedance amplitude, judges whether the impedance amplitude difference satisfies a limited condition, outputs the impedance amplitude difference if the condition is satisfied, and otherwise outputs a set value; and sets control parameters of a virtual impedance link in front of a voltage and current double closed loop control according to the output, so that the application adjusts the virtual impedance in real time, reduces overshoot in a transient process of SCR switching, and suppresses power oscillation of the system.

This invention discloses an optimal control method for a converter based on output feedback. The method involves acquiring the active and reactive power outputs of the converter, as well as the control frequency signal; constructing an output feedback controller, using the active and reactive power outputs as inputs, and processing them to obtain d-axis and q-axis current reference values ​​for the inner current loop; inputting these reference values ​​into the inner current loop to generate a modulation wave voltage amplitude signal; and processing the modulation wave voltage amplitude signal and the control frequency signal to generate a drive signal for controlling the converter. This invention can sense and adapt to changes in grid voltage, short-circuit ratio, and other operating conditions in real time. When disturbances such as a decrease in the short-circuit ratio or a frequency drop occur in the grid, it quickly adjusts the control output, actively provides damping, and effectively suppresses power and current oscillations.

The application discloses a PID permanent magnet synchronous motor direct torque control method based on a gradient optimization algorithm and relates to the field of motor control; the control method comprises the following steps: a permanent magnet synchronous motor speed PID control model is constructed; an improved gradient optimization algorithm is used to optimize and set parameters of the PID control model; and the optimized and set PID parameters are brought into the PID control model to test the permanent magnet synchronous motor. The application optimizes the PID parameters by using the gradient optimization algorithm to realize optimization of the PID controller, and the optimized PID controller is used to control the permanent magnet synchronous motor direct torque; the control method system is simple, parameter setting is easy to realize, the stability and adaptability of the PID controller are high, and the situation that simulation results are not ideal due to excessive dependence on engineering experience to set parameters is reduced.

The invention belongs to a mass spectrometry technology, and particularly provides a gas pressure control method and system for an electrospray ion source, and the method comprises the steps: A1, setting algorithm parameters, and randomly generating the position of a whale population; a2, decoding the positions of the individuals into M groups of PID parameters, applying the M groups of PID parameters to a PID controller, calculating the fitness value of each channel, and updating the optimal individual; a3, according to surrounding predation, bubble net attack or random search behaviors of the improved whale optimization algorithm; a4, the step A2 is repeated, inferior individuals are recognized according to the fitness values of all the channels, and the optimal individuals are updated; a5, repeating the steps A2-A4 until the maximum number of iterations is reached or a preset convergence condition is met; a6, decoding a plurality of groups of PID parameters from the position of the optimal individual, and outputting the PID parameters; and A7, loading the final optimized PID control parameters into a PID controller to realize closed-loop control of the gas pressure of each channel. The method has the advantages of accurate control and the like.

This invention discloses an improved sliding mode observer for permanent magnet synchronous motor control and a system relating to the field of motor control technology. Addressing the problems of severe chattering and low estimation accuracy in traditional sliding mode observers, the method includes: acquiring the motor voltage and current and transforming them to a stationary coordinate system; using an adaptive sliding mode observer integrating a fuzzy adaptive adjustment unit and a smoothing switching unit for state observation, outputting a smoothed back EMF estimation signal, wherein the fuzzy adjustment unit dynamically adjusts the sliding mode gain based on the current error, and the smoothing switching unit generates a continuous control signal to suppress chattering; inputting the smoothed back EMF signal into a phase-locked loop (PLL) unit to synchronously extract rotor position angle and speed estimates for closed-loop control. The system includes signal detection, an adaptive sliding mode observer, a PLL, and a closed-loop control module. This invention improves the accuracy of speed and position observation and system stability by synergistically suppressing chattering through fuzzy adaptive and smoothing switching, and by avoiding phase delay through a PLL.

The invention discloses a fuzzy PID (Proportion Integration Differentiation) control parameter online optimization method based on multi-population collaborative PSO (Particle Swarm Optimization), which comprises the following steps of: establishing a mathematical model of a control object, and solving a transfer function of the control object according to structural characteristics and a working principle of a system; establishing a fuzzy PID controller, setting a fuzzy rule and configuring related parameter values; operating an improved PSO particle swarm algorithm, wherein an algorithm optimization space is a value interval of a proportionality coefficient, an integral coefficient and a differential coefficient corresponding to the fuzzy rule; the speed and the position of each particle are updated, the fitness value of each particle is obtained in the learning process, and the extreme values of individual particles and population particles are updated in each iteration; and optimizing the output parameters of the fuzzy controller according to the result of the PSO particle swarm algorithm. According to the method, a gradient-oriented local optimization mechanism is introduced, the global search capability and convergence stability of the PSO algorithm are improved, parameters of the fuzzy controller are dynamically adjusted by improving the PSO algorithm, and the control performance of the system is improved.

The application belongs to the technical field of ship course control, and discloses an unmanned sailboat rudder and sail collaborative self-disturbance rejection course control method based on ESO, which comprises the following steps: establishing a nonlinear course motion mathematical model; designing an adaptive tracking differentiator to smooth the expected course; using ESO to observe the course, yaw angular velocity, sail aerodynamic moment and comprehensive disturbance in real time; based on a nonlinear state error feedback control law, combining the output of the tracking differentiator and the observation value of the ESO, generating a rudder moment control quantity, outputting a rudder angle instruction after constraint processing of the rudder moment control quantity; according to the lift-drag ratio parameter of the sail aerodynamic model after real-time correction, the apparent wind speed and the relative wind angle, deciding a dynamic optimal sail angle, combining the course deviation to compensate and constrain the dynamic optimal sail angle, and generating a sail angle instruction. The application enhances the adaptability to time-varying wind field and model uncertainty, and improves the anti-disturbance performance and energy efficiency of the system through dynamic optimization and compensation of the sail angle.