74 results about "Integral coefficient" patented technology

The invention relates to an air conditioner chilled water PID parameter optimization method based on an improved sparrow search algorithm. The method comprises the steps that population initialization, a discoverer updating formula and a follower updating formula in the sparrow search algorithm are improved; a return water temperature difference signal of the air conditioner chilled water system is detected and input to the improved sparrow search algorithm optimization PID controller, and the improved sparrow search algorithm dynamically adjusts the proportionality coefficient, the integral coefficient and the differential coefficient of the PID controller; and the improved sparrow search algorithm iteratively calculates an optimal parameter combination, and the PID controller performs optimal control of the chilled water system based on the optimal parameter combination. The improved sparrow search algorithm carries out population initialization by introducing a reverse learning strategy optimized by a refraction principle so as to enhance the diversity of an initial population; respectively introducing sine and cosine transform and a Cauchy variation mechanism in a position updating stage of the discoverer and the follower; and the PID controller dynamically adjusts Kp, Ki and Kd based on an improved algorithm so as to realize optimal parameter setting.

The invention discloses an automobile semi-active suspension PID parameter adaptive adjustment and vibration control method and system based on reinforcement learning, and the method mainly comprises the following working steps: 1, constructing a reinforcement learning environment comprising a suspension dynamics high-fidelity simulation model and a PID controller; 2, defining a state space including a vehicle body vertical acceleration error e (t), an error integral term summa e (t) dt, an error differential term de (t) / dt, a suspension dynamic stroke zdef (t), a driving vehicle speed v (t) and road surface unevenness estimation xi (t); and 3, defining an action space including a proportion coefficient increment delta Kp, an integral coefficient increment delta Ki, a differential coefficient increment delta Kd and an output compensation amount delta e (t) of the PID controller. According to the method, the problem that the suspension performance is reduced due to the fact that control parameters of a traditional PID control method are fixed under the non-linear and time-varying working conditions is solved, and the riding comfort and the handling stability of the vehicle are remarkably improved.

The invention discloses a single-phase phase-locked loop system capable of intelligently adjusting parameters, and the system comprises a spectrum analysis unit which outputs a fundamental wave frequency fc, a fundamental wave angular velocity omega c, and a cascade delay signal elimination parameter ni; the self-adaptive single-phase phase-locked loop unit comprises a third-order generalized integrator, a dq converter, a cascade delay signal canceller CDSC, a PI controller, an integrator and a modulus taking device, and the cascade delay signal canceller CDSC takes a fundamental wave frequency fc as a reference frequency and takes a fundamental wave angular velocity omega c as a reference angular velocity of an input end of the integrator; an angular velocity increment delta omega output by the PI controller and a fundamental wave angular velocity omega c are added to jointly determine a phase locking angle theta, and a proportionality coefficient kp and an integral coefficient ki of the PI controller are refreshed online from the outside and take effect immediately; and the control parameter intelligent optimization unit is used for iteratively solving the optimal [kp, ki] based on a mirage search optimization algorithm MSO and writing the optimal [kp, ki] into the nonvolatile memory. According to the single-phase phase-locked loop system capable of intelligently adjusting the parameters, manual parameter adjustment is avoided, and phase locking is rapid, accurate and stable for a long time.

The invention relates to the technical field of refrigeration equipment control, in particular to a wine cabinet compressor self-adaptive control method and system based on environmental parameters. The method comprises the steps that the external environment temperature, the internal actual temperature and the target storage temperature set by a user of the wine cabinet are collected in real time; an environment thermal potential energy index representing external environment thermal invasion intensity is constructed by calculating static deviation characteristics and dynamic change rate characteristics of the environment temperature; and correcting a proportionality coefficient of a PID control algorithm in real time based on the environmental thermal potential energy index, calculating a compressor control quantity through the PID algorithm in combination with a preset integral coefficient and a differential coefficient, mapping the compressor control quantity into a target operation frequency, driving the wine cabinet compressor to operate, and realizing self-adaptive control of the wine cabinet compressor based on the environmental parameters. According to the method, the environment thermal load change can be actively sensed, the control lag is eliminated, the smoothness of steady-state operation is considered while the thermal shock is inhibited, and the control precision of the wine cabinet compressor is improved.

A liquid-cooling dynamic flow control method includes performing by a control device: obtaining at least one temperature difference between a set temperature and at least one current operating temperature of at least one power component; obtaining a set of target control parameters corresponding to the at least one temperature difference according to a pre-stored parameter table, wherein the pre-stored parameter table records the correspondence between a plurality of preset temperature intervals and a plurality of sets of preset control parameters, and each of the plurality of sets of preset control parameters includes a proportional coefficient, an integral coefficient and a differential coefficient; using the target control parameter and the at least one temperature difference to obtain a heat dissipation control parameter; and adjusting a rotational speed of a liquid-cooling pump with the heat dissipation control parameter.

The invention discloses an unmanned surface vehicle robust track tracking method based on track curvature adaptive segmentation control, and relates to the technical field of unmanned surface vehicle autonomous navigation control, and the method comprises the steps: calculating the track curvature of a current leg in real time, and dividing a control section based on a preset threshold; executing a corresponding control strategy according to a control section, dynamically adjusting a proportionality coefficient, an integral coefficient and a differential coefficient by adopting fuzzy PID, and generating a steering lag prediction compensation amount based on a planning energy optimal speed; and steering compensation is carried out based on the steering lag prediction compensation amount, so that steering lag is reduced. And finally, judging whether the terminal point of the current flight segment is reached or not so as to obtain an optimized flight path tracking result. Through a curvature-driven three-section control strategy, a dynamic foresight distance dual constraint and an energy consumption optimization mechanism, the problems of tracking drift, control switching oscillation and energy waste of a traditional method in a sharp turn leg are solved, and the tracking precision and the system robustness under a complex track are remarkably improved.

The invention discloses an automatic control method and system for fumaric acid production. The method comprises the following steps: collecting process variables in a fermentation process; constructing a soft measurement model fusing physical modeling and a residual neural network to obtain an acid production rate prediction value and prediction confidence; calculating a feed-forward control quantity, and adjusting the weight according to the prediction confidence to obtain a feed-forward control output; constructing a state vector, and establishing a Markov decision process; training a neural network control strategy by adopting a near-end strategy optimization algorithm, and outputting a proportionality coefficient, an integral coefficient and a differential coefficient; calculating feedback control quantity, fusing the feedback control quantity with feed-forward control output, and applying change rate and amplitude limitation to obtain final control output; and switching to a feedback priority control mode under a specific condition, and regularly updating a soft measurement model and a control strategy parameter. According to the invention, high-precision stable control of pH in the fumaric acid fermentation process is realized, the production efficiency and the process robustness are improved, and the method is suitable for automatic control of the large-scale fermentation process.

The application provides a double-fed variable-speed pumped storage unit cooperative control method based on a fuzzy PID, and belongs to the field of pumped storage unit control methods.The method comprises the following steps: S1, obtaining an error and an error change rate in a pumped storage unit; S2, inputting the error and the error change rate into a designed fuzzy controller to output a proportional coefficient increment and an integral coefficient increment; S3, combining an original proportional coefficient quantity and an original integral coefficient quantity of the pumped storage unit to output updated control parameters; S4, obtaining an actual water head and a theoretical water head of the pumped storage unit, dynamically adjusting a proportional coefficient gain coefficient and an integral coefficient gain quantity, and combining the updated proportional coefficient quantity of the pumped storage unit and the updated integral coefficient quantity of the pumped storage unit to jointly input into a PID controller; and S5, outputting an opening degree signal by the PID controller to an actuating mechanism, so that the actuating mechanism controls the opening degree of the variable-speed pumped storage unit.The method has high adaptability.

The application discloses a vehicle parking control method, device and vehicle. The method comprises the following steps: when the accelerator of the vehicle is released, setting the speed integral term, the acceleration integral term, the first integral coefficient and the second integral coefficient of the speed control strategy to zero; in each speed control period, determining the output value of the speed control strategy according to the target speed and the actual speed of the motor in the current speed control period, and controlling the motor to decelerate according to the output value of the speed control strategy; when the actual speed of the motor is less than the preset speed and the target speed is zero, setting the first integral coefficient and the second integral coefficient to be non-zero; in each speed control period, determining the output value of the speed control strategy according to the value of the speed proportional term, the value of the speed integral term and the value of the acceleration integral term, and controlling the motor to operate according to the output value of the speed control strategy until the actual speed of the motor is zero. The technical scheme of the application can better control the vehicle to park on a slope and a flat ground.

The present application belongs to the technical field of secondary frequency modulation control of virtual synchronous generator, and discloses a VSG secondary frequency modulation control method and system based on segmented integral coefficients, which proposes the determination of the value of the frequency integral coefficient based on the segmentation of the frequency offset, and determines two fixed integral coefficients respectively. When the frequency deviation is lower than the threshold value, the integral coefficient value is small, and when the frequency deviation is higher than the threshold value, the integral coefficient value is large. The control method proposed in the present application reduces the frequency integral coefficient adjustment frequency while reducing the maximum frequency deviation, improves the frequency dynamic adjustment performance of the virtual synchronous generator and the stability of the system, and through the segmented setting of the integral coefficient, not only the frequency deviation is reduced, but also the frequency dynamic adjustment time is shortened. The control method proposed in the present application changes the integral coefficient only twice in the dynamic adjustment process, reduces the change frequency of the integral coefficient, and improves the stability of the frequency change in the dynamic process.

The invention relates to the technical field of pressure controller optimization methods, provides a PID (Proportion Integration Differentiation) pressure controller optimization method, and solves the problem of pressure fluctuation in a methanol supply system. The method comprises the following steps: S100, establishing a process dynamic model of the marine methanol fuel supply system, and determining key equipment and operation conditions; s200, constructing a fitness function according to an integral value of an error between a set value SP and a process value PV of a PID pressure controller of the methanol fuel supply system along with time; s300, taking a proportionality coefficient and an integral coefficient of a PID pressure controller of the methanol fuel supply system as optimization variables, and forming a search space of two dimensions in a particle swarm algorithm; s400, performing multi-working-condition dynamic simulation on the methanol supply system process, and optimizing the performance of a PID pressure controller of the marine methanol fuel supply system under different working conditions by using a particle swarm algorithm; adjusting controller parameters through a multi-objective optimization algorithm; and S500, adjustment is carried out based on an actual application scene, pressure fluctuation is reduced, and the energy efficiency and the system stability are improved.

The invention relates to the technical field of charging piles, and discloses a power module fan rotating speed adjusting method based on fuzzy PID control, and the method comprises the steps: obtaining an air inlet temperature fuzzy value according to a preset air inlet temperature given value and a plurality of detected air inlet temperature real-time values of a power module; quantizing the air inlet temperature fuzzy values to the corresponding fuzzy domains so as to respectively calculate the membership degrees of the air inlet temperature fuzzy values in the respective corresponding fuzzy domains; and determining an incremental proportion coefficient real-time adjusting quantity, an incremental integral coefficient real-time adjusting quantity and an incremental differential coefficient real-time adjusting quantity in an incremental PID control scene according to each membership degree, so as to determine a fan rotating speed adjusting quantity of the power module based on the above. According to the method, the fuzzy PID control mode is combined on the basis of conventional PID control, the influence of internal and external factors on fan conversion control can be effectively reduced, the control precision of the fan rotating speed of the power module is improved, and the fan operation stability of the power module is further improved.

The invention provides a fishery pan-tilt equipment self-adjustment control optimization method, and belongs to the field of pan-tilt control, and the method specifically comprises the steps: S1, constructing a fishery pan-tilt equipment control model which comprises a corner control model, an improved artificial travel mouse algorithm and a position type PID controller model; s2, improving a standard artificial squirrel algorithm, and setting a proportionality coefficient, an integral coefficient and a differential coefficient of a position type PID of the holder equipment controller by using the improved artificial squirrel algorithm to realize optimization of the holder equipment controller; and S3, inputting a difference value between the target rotation angle and the real-time rotation angle of the holder into a holder equipment controller, outputting a control signal through a position type PID, inputting the control signal into a rotation angle control model, and outputting a real-time rotation angle value of the holder. Experimental simulation proves that the method disclosed by the invention can solve the problems of easy oscillation and overshoot under the conditions of large rotation angle range and frequent speed abrupt change of the holder.

The invention relates to a servo press control method and system based on multi-modal perception, and the method comprises the steps: collecting and preprocessing multi-modal data reflecting the operation state of a servo press in real time, the multi-modal data comprising stamping tonnage, sliding block position, stamping speed, hydraulic flow, mechanical deformation and safety perception information; multi-modal data fusion is realized by using a mixed strategy combining weighted fusion and a BP neural network; based on the servo press system state reflected by the fusion data, parameters of a PID controller for controlling the current of a motor are adjusted in a self-adaptive mode, and the method comprises the steps that the current operation condition is automatically judged to be no-load, light-load or heavy-load; dynamically adjusting a proportionality coefficient, an integral coefficient and a differential coefficient of a PID (Proportion Integration Differentiation) controller for controlling the current of the motor in combination with a Ziegler-Nichols setting method and a fuzzy control rule; and under the control of the self-adaptive PID controller, an S-shaped acceleration and deceleration curve is adopted to plan the movement track of the sliding rail according to the fused data and a preset stamping process curve.

The invention provides an active air supply type transformer substation main transformer chamber cooling method and system, and the method comprises the steps: obtaining an oil temperature set value Ts, a top oil temperature measurement value Tc, and a radiation temperature Td, calculating a temperature difference value delta T according to Ts and Tc, calculating a correction value delta T according to Td through a proportional function Fw, and inputting the difference value between the temperature difference value delta T and the temperature correction value delta T into a PID algorithm, temperature control feedback used for adjusting the air supply amount is output; the PID algorithm comprises a proportionality coefficient Kp, a differential coefficient Kd and an integral coefficient Ki, and the integral coefficient Ki is equal to 0. According to the method, the integral part in the PID algorithm is deleted, and the correction value delta T is introduced, so that the corrected temperature difference value delta T is directly associated with the top oil temperature measurement value Tc, and frequent start and stop of the fan are avoided while the response speed of the fan for cooling is increased.

The application discloses a new energy grid-connected inverter adaptive transient synchronous stability control method under power grid asymmetric fault. During the power grid asymmetric fault, the system adaptively adjusts the proportional coefficient and integral coefficient of the positive sequence or negative sequence phase-locked loop to change the positive and negative sequence phase-locked loop output angular frequency when the additional controller is used during the fault duration, so that the positive and negative sequence phase-locked loop output angular frequency deviation is 0 during the fault duration, thereby realizing the transient synchronous stability control of the new energy grid-connected inverter under the power grid asymmetric fault. On the basis of not adding an additional control device, according to the fault information of the system, by improving the control structure of the positive and negative sequence phase-locked loop of the new energy grid-connected inverter, the transient synchronous stability of the new energy grid-connected inverter during the power grid asymmetric short-circuit fault can be obviously improved, and the risk of transient synchronous instability of the system is reduced.

The application discloses a kind of slope parking control method and device of vehicle.The method comprises: when vehicle is forward driving on slope, when accelerator is released, the sign of initial rotational speed direction of motor and the sign of initial integral term in rotational speed control strategy are determined;Integral coefficient of integral term in rotational speed control strategy is zero;If the sign of initial rotational speed direction is same with the sign of initial integral term, then periodically reduce integral term in rotational speed control strategy;According to proportional term and integral term corresponding to each rotational speed control period, motor is controlled to decelerate;After integral term is reduced to zero, if the actual rotational speed of motor is greater than target rotational speed of current rotational speed control period, then the output value of rotational speed control strategy is controlled to be zero;When actual rotational speed is less than first threshold, the output value of rotational speed control strategy is not zero, motor is controlled to decelerate according to rotational speed control strategy, until the actual rotational speed of motor is zero.The technical scheme of the application can better control vehicle to decelerate and park on slope.

The invention discloses a fuzzy PID (Proportion Integration Differentiation) control method for an automatic frequency locking system of a laser, which comprises the following steps of: mixing a signal detected by a cavity-front photoelectric detector with a path of radio frequency driving reference signal of an electro-optical modulator to obtain a frequency discrimination error signal and an error signal change rate; after sampling by an analog-to-digital converter, inputting into a fuzzy PID (Proportion Integration Differentiation) controller based on a microprocessor, carrying out fuzzification processing, fuzzy reasoning and defuzzification operation, and outputting a proportionality coefficient increment, an integral coefficient increment and a differential coefficient increment; control parameters are calculated, the driving voltage of the piezoelectric ceramic PZT is adjusted according to the control parameters, the output frequency of the laser is changed, and automatic frequency locking of the laser is achieved. According to the invention, the proportional control parameter, the integral control parameter and the differential control parameter are calculated through the fuzzy PID controller, the output frequency of the laser is adjusted according to the control parameters, automatic frequency locking of the laser is realized, and the control precision and robustness of the frequency locking system are improved.

The application discloses an intelligent PID control method for the temperature of a reaction kettle, and comprises the following steps: constructing a reaction kettle temperature model, and adopting a first-order inertia plus delay to describe the dynamic characteristics of the reaction kettle temperature; constructing a Kalman filter PID control model based on an improved RBF neural network; performing normalization processing on the deviation value of the target temperature of the reaction kettle and the real-time temperature; inputting the normalized temperature deviation value into the Kalman filter PID control model, outputting a temperature control signal to an adjusting valve, and adjusting the temperature of the reaction kettle. The improved RBF neural network algorithm is used to intelligently set the PID control parameters, and the Kalman filter is introduced, so that the temperature system can still realize fast response under the environment of nonlinearity, large lag and disturbance. Through real-time dynamic adjustment of the proportional coefficient, the integral coefficient and the differential coefficient, overshoot is inhibited, the steady-state error is reduced, and the system stable time is accelerated.

The invention relates to a jitter suppression method and device of a motor actuator and computer equipment. Comprising the steps of determining a running direction and a first angle error by combining a target angle and a current angle, and providing a basis for adjustment; different target adjustment coefficients are determined according to the motion direction and the error condition so as to adapt to the control requirement; and then the output torque is determined according to the adjustment result corresponding to the integral coefficient obtained by the front and back period error, the proportionality coefficient and the range constraint, the real-time and accurate control of the motor output torque is realized, and the stability and the precision of the operation of the actuator are ensured.

The invention provides a CPPS small interference stability control method of fuzzy adaptive PID based on LSTM, and belongs to the technical field of power and small interference stability control, and the method comprises the steps: collecting historical network delay data to train an LSTM model, and obtaining an LSTM prediction model; the rotating speed deviation (error) and the rotating speed deviation change rate (error change rate) of the synchronous generator are collected; predicting the network delay at the current moment by using an LSTM prediction model, and dynamically setting the proportionality coefficient, the integral coefficient and the differential coefficient of the PID controller through a fuzzy logic decision in combination with the error and the error change rate; and inputting the set proportionality coefficient, integral coefficient and differential coefficient into a PID controller to generate a control signal, and enabling the control signal to act on a synchronous generator of the information physical power system to realize small-interference stable control of the information physical power system. According to the invention, the problem of system instability caused by network delay randomness in CPPS is solved.

The present application relates to the technical field of refrigeration equipment control, and particularly relates to a wine cabinet compressor adaptive control method and system based on environmental parameters. The method comprises the following steps: collecting the external environmental temperature of the wine cabinet, the actual internal temperature and the target storage temperature set by the user in real time; constructing an environmental heat potential energy index representing the intensity of external environmental heat invasion by calculating the static deviation characteristic and the dynamic change rate characteristic of the environmental temperature; based on the environmental heat potential energy index, correcting the proportional coefficient of the PID control algorithm in real time, and then combining the preset integral coefficient and the differential coefficient, calculating the compressor control amount through the PID algorithm and mapping it into the target operating frequency to drive the wine cabinet compressor to operate, thereby realizing adaptive control of the wine cabinet compressor based on environmental parameters. The present application can actively perceive the change of environmental heat load, eliminate control lag, suppress heat shock while taking into account the smoothness of steady-state operation, and improve the control accuracy of the wine cabinet compressor.

The invention relates to a motor control method and device based on an EO-BP network, electronic equipment and a storage medium. The method is applied to a motor control system based on an EO-BP network, the system comprises at least one group of sub-control loops, each sub-control loop comprises a sub-controller and a sub-system, the sub-controller is in communication connection with the sub-system, and the sub-system outputs a proportionality coefficient, an integral coefficient and a differential coefficient to the sub-controller. The method comprises the steps of obtaining a current state parameter and a target state parameter of a motor; determining a proportionality coefficient, an integral coefficient and a differential coefficient of the sub-controller based on the current state parameter, the target state parameter and the sub-system; and the sub-controller determines motor control parameters of the motor according to the current state parameter, the target state parameter, the proportionality coefficient, the integral coefficient and the differential coefficient. According to the invention, the PID control is combined with the neural network, and the BP neural network is used for setting the three parameters of the PID controller, so that the unsatisfactory control effect of the control system caused by the difficulty in determining the PID control parameters is avoided.

The invention discloses a microwave radiometer receiver temperature control method and system, and relates to the technical field of radiometers, and the method comprises the following steps: building a first-order pure lag transfer function of a microwave radiometer receiver temperature control model according to empirical data; based on historical temperature control data, establishing and updating a fuzzy rule table of a proportionality coefficient, an integral coefficient and a differential coefficient of receiver temperature control, and adding a multi-stage integral coefficient; dynamically executing integral separation control according to a real-time error and an error change rate based on the fuzzy rule table; and the integral action range is regulated and controlled through the multi-stage integral coefficient, and the heating temperature control quantity is output. Through combination of the fuzzy PID controller and a multistage integral separation mechanism, rapid and accurate temperature control of the microwave radiometer receiver in an environment temperature sudden change scene is realized.

The invention provides a control method of a variable frequency inverter and a controller, and relates to the technical field of inverters. According to the method, the fundamental frequency and the switching frequency of the variable frequency inverter which change in real time are obtained as the working condition parameters, and the working condition parameters are mapped into the optimal current loop bandwidth value by using the fuzzy reasoning mechanism, so that the PI controller parameters can be automatically adjusted along with the change of the operation working condition; the inherent defect that a fixed parameter controller is poor in adaptability in a wide frequency domain range is overcome. And then an integral coefficient containing a real part and an imaginary part is calculated in a complex field, so that the PI controller has the capability of processing a coupling effect between two-phase rotating coordinate systems (d-q axis), and dynamic decoupling and accurate control of a current loop are realized under a complex frequency conversion operation condition. Through the synergistic effect of fuzzy self-adaption and complex decoupling, the problems that the dynamic response speed is poor and the control precision is low when the variable frequency inverter operates in a wide range are solved, and the dynamic response speed and the control precision of the variable frequency inverter are improved.

The invention discloses a hearth negative pressure dynamic compensation control method and device, electronic equipment and a storage medium, relates to the technical field of equipment control, and aims to dynamically adjust the proportion and integral coefficient of an induced draft fan regulator in combination with hearth pressure deviation and change rate thereof so as to avoid the limitation that fixed PID parameters are difficult to adapt to dynamic working conditions; in addition, an enhanced feed-forward signal containing an air feeder public instruction and a pressure change rate feed-forward item can be generated, a coupling compensation mechanism under the dynamic working condition is supplemented, meanwhile, the dynamic upper and lower limits of a frequency conversion instruction are calculated according to the load for boundary constraint, and pressure fluctuation caused by instruction abnormity is prevented. The technical problems that combustion instability is caused by hearth pressure fluctuation and improvement of boiler operation efficiency is restricted due to the fact that existing single-loop control adopts fixed PID parameters and a single feedforward signal and lacks a dynamic coupling compensation mechanism can be solved. The technical effects of stabilizing the hearth negative pressure, avoiding combustion instability, improving the boiler operation efficiency and enhancing the hearth pressure control adaptability under the dynamic working condition are achieved.

The application provides a GFL phase-locked loop parameter identification method and system based on port measurement data, relates to the field of grid-connected type converters, and comprises the following steps: injecting linearly independent disturbance signals into a grid-connected point of a grid-connected type converter through an externally added phase-locked loop, collecting voltage and current responses of the grid-connected point, calculating impedance characteristics of the converter in a disturbance coordinate system, and obtaining overall admittance frequency responses in a synchronous speed coordinate system through coordinate system conversion; separating an admittance component from the overall admittance frequency responses, wherein the admittance component is not affected by dynamic effects of the phase-locked loop and is determined by only a current inner loop and a filter inductance, reconstructing the control admittance, and identifying the filter inductance value; taking the overall admittance, the control admittance, and the filter inductance value as inputs, establishing a constraint equation with the phase-locked loop transfer function as an unknown quantity through admittance decomposition, and solving to obtain a frequency response of the phase-locked loop transfer function; and calculating parameters at multiple frequency points according to the frequency response of the phase-locked loop transfer function, and performing weighted fusion to obtain identification results of a proportional coefficient and an integral coefficient of the phase-locked loop.

The application discloses a kind of equivalent proportional integral coefficient self-adaptive control method and system of phase-locked loop controller, belong to new energy power system transient stability control field, method includes: the angle of detection new energy equipment grid-connected port, angular frequency and angular acceleration, wherein, new energy equipment and phase-locked loop controller are located in same new power system;According to angle, angular frequency, angular acceleration, preset coefficient and preset amplitude limiting value, proportional multiplication coefficient and integral multiplication coefficient are calculated;Proportional multiplication coefficient is multiplied by the inherent proportional coefficient of phase-locked loop controller, integral multiplication coefficient is multiplied by the inherent integral coefficient of phase-locked loop controller, to obtain equivalent proportional coefficient and equivalent integral coefficient, for phase-locked loop control.It can improve the transient stability maintenance capability of new energy equipment under serious fault condition, introduce multiplication link on existing structure, easy to realize.

The present application relates to the field, disclose a kind of parallel power supply efficiency optimization method and system, the output current of each power module is collected in real time by the current sensor of each power module, while collecting the total output current of parallel power supply system and the input voltage, output voltage of each power module;The current sharing error of each power module is calculated, the proportional coefficient, integral coefficient and differential coefficient of fuzzy PID controller are adjusted by fuzzy inference rule;The voltage regulator of power module is adjusted by control signal;According to the input voltage, output voltage and output current of each power module, the efficiency of each power module is calculated, according to the efficiency and load condition of each power module, the best working point of each power module is determined, the input power of power module is adjusted, to complete the efficiency optimization of entire parallel power supply;The present application can adjust the working state of power module in real time under different working conditions, has strong adaptability and stability.

The invention discloses an alternating current load simulation method and circuit for a high-power test. The method comprises the following steps: acquiring an initial bandwidth of an alternating current signal corresponding to a target load and a resistance value of a conversion resistor in a preset current source circuit; based on the initial bandwidth and the resistance value of the conversion resistor, determining a plurality of coefficients of a preset PID proportional integral differential controller, the plurality of coefficients including a proportionality coefficient, an integral coefficient and a differential coefficient; determining a control voltage signal through a PID (Proportion Integration Differentiation) controller based on the plurality of coefficients; a target load is simulated in the current source circuit based on the control voltage signal and the conversion resistance. The technical problems that the traditional high-power test AC load simulation impedance precision is low, the actual AC load characteristics cannot be comprehensively simulated, and PID parameter setting is difficult are solved.