60 results about "Step response" patented technology

The invention provides an intelligent control method and system based on electro-hydraulic linkage. The method comprises the steps that multi-mode environment parameters are collected, a digital twin environment model is constructed, and data are synchronized with an electro-hydraulic servo system in real time. And establishing a nonlinear model, identifying parameters by using a least square method and a recursive least square method, verifying the precision through a step response test, and updating. And constructing an adaptive LSTM neural network inverse model to output a control voltage signal. And the signal is subjected to weighted fusion with the output of a PID controller, and the PID controller dynamically adjusts a gain parameter according to an error integral term to generate a control instruction to drive the system. According to the invention, the LSTM inverse model provides feed-forward compensation, the PID controller realizes feedback correction, and the LSTM inverse model and the PID controller are complementary. Meanwhile, based on a related nonlinear model and a parameter self-adaptive updating mechanism, the influence of working condition change is accurately described, and high-precision control of the electro-hydraulic servo system under the complex working condition is achieved.

The invention relates to the technical field of response time testing of electro-hydraulic proportional valves, and discloses a response time testing method and system of an electro-hydraulic proportional valve, and the method comprises the steps: collecting multi-point pressure, step response, pipeline length and medium parameters, and unifying the time reference to obtain an original pressure sequence; constructing an inverse filter spectrum to remove damping interference so as to recover a sharp peak value; lagging offset is calculated according to pipeline and medium parameters, time delay compensation is carried out, and an alignment sequence is obtained; intercepting a non-stationary segment to eliminate residual delay deviation; constructing a response dynamic data set, extracting harmonic frequency domain representation, and reconstructing a pressure sequence through inverse transformation and superposition of compensation factors; and calculating a deviation integral quantity, adjusting a dynamic compensation parameter, performing weighted correction, and outputting an optimized reconstruction response sequence. According to the method, accurate reconstruction of the real pressure response of the proportional valve can be realized, so that the accuracy and the reliability of response time testing are improved.

The invention discloses a first-order linear active disturbance rejection controller parameter setting method based on a phase margin method, and the method comprises the following steps: S1, obtaining simplified first-order inertia delay object parameters through an open-loop step response curve on site, and the simplified first-order inertia delay object parameters comprise the steady-state gain K, the inertia time constant T and the delay time tau of a controlled object; and S2, discussing and setting parameters of the controller according to conditions according to the ratio theta of the delay time tau of the controlled object to the inertia constant T. According to the first-order linear active-disturbance-rejection controller parameter setting method based on the phase angle margin method, the phase angle margin of the first-order linear active-disturbance-rejection controller is subjected to theoretical analysis, and the phase angle margin of the first-order linear active-disturbance-rejection controller and a closed-loop stable system of a controlled object is directly configured; and therefore, the problem of overshoot in parameter setting of the linear active disturbance rejection controller can be solved.

The invention relates to the technical field of control regulation, in particular to a supercritical unit variable load rate dynamic compensation control method, which comprises the following steps: acquiring unit operation data, performing credibility restoration, and outputting a credible parameter set; a time sequence mapping table is constructed based on the credible data, and boiler heat storage lag time, steam turbine control valve delay and a steam temperature interstage coupling coefficient are quantified; correcting the boiler water supply feedforward instruction by using the heat storage lag time to generate a compensated water supply instruction; according to the time sequence mapping table and the main steam pressure change rate, a multi-genetic algorithm is adopted to optimize a control valve constraint rule, and a dynamically constrained control valve action instruction is generated; an inter-stage coupling coefficient is called to generate a swing angle compensation amount, and water spraying temperature reduction disturbance is blocked; safety locking parameters are monitored to trigger buffering intervention in a grading mode, and compensation instructions are integrated to implement cooperative correction. The problem of out-of-step response of multiple execution units under the variable load working condition is solved, and the unit adjusting rate and the control stability are remarkably optimized.

The invention relates to a gas turbine system predictive control method, device, equipment and medium, and relates to the technical field of gas turbine control, and the method comprises the steps: building a transfer function model of a gas turbine system at a plurality of preset load points through a step response experiment, a prediction controller is designed based on the transfer function models corresponding to the different load points, so that a control increment output by the prediction controller is obtained, and the prediction controller comprises a plurality of sub-prediction controllers corresponding to the different load point models; correcting the control increment which does not accord with a preset constraint condition based on an improved He-Make algorithm; and based on the deviation between the control increment corresponding to each sub-prediction controller and the actual output value, performing weighting processing on the control increment sequence corresponding to each sub-controller by using an improved recursive Bayesian weighting algorithm to obtain a final control increment. According to the method, the operation stability and the response speed of the heavy duty gas turbine system can be remarkably improved, and the strong performance advantage is shown in the aspect of set value tracking.

The invention provides a self-adaptive deep learning prediction control method and device suitable for the process industry. Comprising the following steps: constructing an all-condition dynamic model of a target control variable based on a deep learning technology according to historical control information of the process industry, and performing segmentation processing on a change gain curve of the all-condition dynamic model based on a self-adaptive segmentation algorithm of a threshold value to obtain a segmented linear gain model; a piecewise linear variable constraint of the piecewise linear gain model is determined, and an optimization target of a target control variable is determined based on the piecewise linear variable constraint; and obtaining a step response sequence of the target control variable at the current working condition point based on the piecewise linear gain model, and predicting a future control execution sequence of the target control variable according to the step response sequence and the optimization target. The problem that an existing predictive control method generally constructs a mapping relation between a control variable and a controlled variable based on a linear model, the nonlinear characteristic of the control variable cannot be accurately reflected, and then the predictive control accuracy is low is solved.

The invention discloses a single-loop droop control method and system for a wind generating set, and the method comprises the following steps: constructing a doubly-fed fan-power converter-power grid three-module coupling model, and completing the dynamic adaptation of the characteristics of a doubly-fed fan of a single-loop droop control architecture without inner-loop current control; based on the input signal-model collaborative integration body and the adaptive architecture, MIMO-GBC is adopted to analyze a phase margin and a resonance peak value of an open-loop transfer function matrix eigenvalue of a dynamic small signal model, and double risks are identified in a full slip rate interval; aiming at the resonance risk, a current induction type virtual impedance strategy is adopted; aiming at insufficient phase margin, adopting a transient phase calibration strategy; and according to the real-time slip ratio of the DFIG and the stator power change, inter-partition linkage optimization is carried out on the virtual resistance and the phase calibration angle so as to minimize a dual-power step response fluctuation square mean value, a parameter setting period and a rotor side converter control period are synchronously matched, and all-working-condition stable control is realized.

This invention proposes a rapid and non-destructive method for identifying the resonant frequency of heavy-duty mechanisms. The load-end speed curves and motor-end speed curves under closed-loop and open-loop conditions at the motor end are obtained using the speed step response method and the current step response method, respectively. By performing an FFT transform on the two speed curves, the resonance peak is obtained, allowing for rapid measurement of the structural resonant frequency and the combined resonant frequency. This method eliminates the need to purchase an additional resonance analyzer, reducing measurement costs, and avoids the damage to large, heavy-duty servo mechanisms caused by sinusoidal frequency sweep measurements. It can not only be used for rapid identification of structural resonant frequencies but also to guide the design of servo controllers.

The invention relates to the technical field of industrial process automatic control, and discloses an automatic control method for a water sample analysis process, which comprises the following steps: establishing a unit step response reference model for representing a normalized standard track of a controlled object; iteratively searching an optimal amplitude scaling and time elastic factor in the two-parameter search space to minimize the fitting residual error of the reference model and the real-time data; the optimal amplitude scaling factor is utilized to determine a projection steady-state value to drive an execution unit, and the sampling interval is adaptively adjusted according to the optimal time elastic factor, the time elastic factor is introduced to realize closed-loop compensation of system kinetic parameter drift, a steady-state target can be accurately locked in an unbalanced state, and the stability of the system is improved. And the problem of control model mismatch caused by device aging or environment fluctuation is solved.

The invention belongs to the technical field of automation control, and particularly relates to a control parameter optimization method and system for a multistage reaction kettle, and the method comprises the steps: collecting key operation data of a series multistage reaction kettle at each moment in real time, and constructing an initial temperature sequence and an initial valve opening sequence after standardization and adaptive filtering denoising; indexes such as temperature fluctuation standard deviation are calculated based on the initial temperature sequence, the temperature deviation degree is obtained through normalized weighted fusion, and parameters such as the Arrhenius law and the actually measured temperature are combined to construct a reaction nonlinear strength index; on the basis of the index coupling initial valve opening degree sequence change rate, a model vector self-adaptive correction coefficient is obtained in combination with parameters such as a smooth factor; and correcting a basic step response vector controlled by the dynamic matrix by using the coefficient, solving an optimal valve opening adjustment amount, calculating an execution value, and outputting the execution value to an execution mechanism to complete regulation and control, thereby realizing full-cycle optimization of control parameters. According to the invention, the control accuracy of the multi-stage reaction kettle is improved.

The application relates to the technical field of servo motor driving, and particularly discloses an inertia identification method based on double-frequency sinusoidal speed instructions, two different frequency sinusoidal speed instructions are sent to a motor by a servo driver, according to Newton's second law, a motion equation of a rotating system, a speed signal or an acceleration signal is multiplied by both sides of the motion equation of the rotating system, and integral operation is carried out in a complete period; for the test of the frequency omega1, the collected torque T e1 (t) is integrated with the acceleration, and thus the rotational inertia J can be directly solved. In the method, the speed instruction is a sinusoidal wave, compared with the trapezoidal acceleration and deceleration method and the step response method, the instruction is smoother, mechanical impact is small, and in addition, technical difficulties existing in the single-frequency sinusoidal excitation method can be avoided.

The position-torque double closed-loop servo system parameter optimization control method provided by the invention is stable and rapid in dynamic response. On the basis that a position regulator is composed of first-order advanced feedback of a unit proportionality coefficient and regulation with proportion and integration as main components, a simplest expectation mathematical model of a closed-loop single-zero-point type 3 (a forward channel of the system has three integration links) control system is provided, and the maximum phase angle margin of the system is used as an optimization target. And deriving an analytic formula of system open-loop gain optimization setting, and further providing a position regulator parameter optimization setting control method which enables the position-torque double-closed-loop servo system to have low-overshoot, stable and rapid performance on step response. The method has important guiding significance on design of the position-torque double-closed-loop servo system requiring stable and rapid dynamic response, product development (including experimental equipment), on-site commissioning, debugging and the like, and meanwhile, the design theory of the motor position-torque double-closed-loop servo system is also perfected.

This invention discloses a method for controlling the main steam temperature of a power generation boiler. The method includes collecting step response data of the main steam temperature of the power generation boiler, fitting the data using the least squares method, and establishing a mathematical model of the inertia region and lead-forward region of the main steam control channel of the power generation boiler. Then, a predictive compensation controller is introduced in the parallel feedback loop, and the lag component is separated as a separate term using a constant separation method. Next, the PID parameters are optimized using an artificial fish swarm algorithm, and the optimal solution is substituted into the original parameters. Smith predictive compensation control effectively eliminates the lag effect in the system model, shortens the system settling time, and the artificial fish swarm algorithm significantly improves the controller accuracy, effectively shortens the time for the system to reach the target value, reduces the system overshoot, and minimizes the impact of external disturbances.

The application provides a kind of steam turbine governing system electric power step response simulation error analysis method and device, it is related to electric power equipment performance detection field, including: according to the parameter sample of steam turbine governing system electric power step response, preset sample polynomial is fitted, corresponding peak power arrival time is obtained;According to the sample polynomial and historical sample of fitting, the starting step time and steady state entering time of the parameter sample are determined;According to the peak power arrival time, the starting step time and steady state entering time determine the parameter identification error of the steam turbine governing system electric power step response.The application can determine the parameter identification error of steam turbine governing system electric power step response.

The application relates to grid-connected control technology of a converter and aims to provide a cascade energy storage converter inertia damping optimization method suitable for multiple grid conditions. The method comprises the following main steps: grid-connected system modeling, inertia parameter optimization, damping parameter optimization and parameter design under multiple grid conditions. The inertia and damping parameters are optimized through transmission characteristics and step response characteristics, the dynamic response performance and system stability of the cascade energy storage converter can be effectively improved, and the reliability of the voltage source support of the converter is ensured; through establishment of an optimization parameter library and an optimization parameter curve covering multiple grid strengths, the configuration and debugging process of the system is simplified, the complexity and time requirement of parameter adjustment are reduced, and the adaptability of the system under different grid operation conditions is effectively enhanced.

The invention provides an electromechanical control system parameter optimization method and system based on an improved intelligent algorithm. The method belongs to the field of electromechanical control, and discloses a controller structure comprising an active resistance increasing control loop, a PID control loop and a series wave trap group. Aiming at the active resistance increasing control loop and the PID control loop, respectively constructing corresponding multi-target fitness functions in combination with respective control targets; an improved intelligent optimization algorithm is adopted, the value of the multi-target fitness function constructed in a minimized mode is used as an optimization target, collaborative optimization is carried out on parameters of all the control loops, and an optimized control parameter set is obtained; substituting the optimized control parameter set into the controller structure, and performing step response verification in a simulation environment; and deploying the multiple groups of optimized control parameters passing verification in an actual controller to realize real-time adaptive control of the electromechanical system according to different working conditions. According to the method, global optimal control parameters meeting complex constraint conditions can be quickly obtained.

The application relates to the technical field of industrial process automation control, and discloses an automatic control method for a water sample analysis process, which comprises the following steps: establishing a unit step response reference model representing a normalized standard track of a controlled object; iteratively searching for an optimal amplitude scaling and a time elasticity factor in a double-parameter search space, so that the reference model and real-time data are fitted to minimize residual errors; and determining a projection steady-state value by using the optimal amplitude scaling factor to drive an execution unit, and adaptively adjusting a sampling interval according to the optimal time elasticity factor. The application realizes closed-loop compensation for system dynamics parameter drift by introducing the time elasticity factor, can accurately lock a steady-state target under a non-equilibrium state, and solves the problem of control model mismatch caused by device aging or environmental fluctuation.

The application discloses a kind of internal heating type fluidized bed drying temperature control method and system, by mechanism deduction and step response modeling, obtain the transfer function of first-order inertia plus pure lag link, the coupling between two heating pipes is regarded as interference, observer is added in control loop to eliminate dynamic coupling, cooperate with the control strategy of cascade control, effectively reduce the overshoot of internal heating type fluidized bed temperature (T1, T2), reduce steady-state error, improve the stability of production, significantly reduce the labor intensity of operator.The method solves the problem of separate isolated adjustment of each section temperature of the fluidized bed, poor drying effect;Solve the problem that the internal heating type fluidized bed drying process cannot be put into automatic control under full working condition;Solve the problem of dynamically adjusting each section bed temperature according to the demand of moisture content of drying material and accurately controlling;Solve the problem that when winter temperature drops, the steam pipeline of system, the condensate of tube is large, and the bed temperature is out of control and drops.

The invention discloses a fuzzy PID (Proportion Integration Differentiation) initial parameter setting method based on a step response model. The method comprises the following steps: step (1), system identification; step (2), fuzzy PID initial parameter setting; and (3) fuzzy PID dynamic control: performing real-time dynamic correction on the initial parameter group obtained in the step (2) through dynamic correction, and then outputting a control signal adaptive to the current working condition. The system can be directly transplanted to common control platforms such as industrial PLCs and single-chip microcomputers, can meet the requirements of various temperature control scenes such as industrial production, precision experiments and biomedical treatment, and has wide application prospects and popularization values.

This invention relates to the field of response time testing technology for electro-hydraulic proportional valves, and discloses a method and system for testing the response time of electro-hydraulic proportional valves. The method includes: acquiring multi-point pressure, step response, pipeline length, and medium parameters, and unifying the time base to obtain an original pressure sequence; constructing an inverse filter spectrum to remove damping interference and recover sharp peaks; calculating hysteresis offset based on pipeline and medium parameters to perform time delay compensation and obtain an aligned sequence; truncating non-stationary segments to eliminate residual delay deviations; constructing a dynamic response dataset and extracting harmonic frequency domain representations, and reconstructing the pressure sequence by inverse transformation and superimposing compensation factors; calculating the deviation integral, adjusting dynamic compensation parameters and weighting corrections, and outputting an optimized reconstructed response sequence. This method can achieve accurate reconstruction of the true pressure response of the proportional valve, thereby improving the accuracy and reliability of response time testing.

The invention discloses an electric engineering machinery metering pump flow response control method, equipment and a medium, belongs to the technical field of hydraulic control, and aims to solve the technical problems that a metering pump in an existing electric excavator is low in response speed, a hydraulic system has certain inertia delay, and accurate hydraulic control is not facilitated. The method comprises the steps that response demand calculation is conducted on the hydraulic oil energy demand in the constant displacement pump; energy output control under related main pump pressure and overflow protection is carried out on hydraulic oil energy requirements; the output energy of the constant delivery pump and the rotating speed of the motor are subjected to fitting prediction processing under the step response model, and an energy output dynamic prediction model is obtained; and carrying out selective calculation on the energy output dynamic prediction model under related control time domain length and prediction time domain length, carrying out feedback correction, rolling optimization and prediction error correction processing on the energy output dynamic prediction model, and outputting and obtaining an energy output response quantity related to motor rotation speed prediction control.

The invention relates to the field of energy storage system control, in particular to a VSG control method and device for restraining output power oscillation of an energy storage system, and the method comprises the steps: building an active loop closed-loop transfer function small signal model of a VSG control equation, and obtaining a response equation of an active power given value and a power grid angular frequency value to output power; analyzing the relationship among the damping ratio, the oscillation frequency and the steady-state error through the second-order oscillation system characteristics and the response equation; designing a closed-loop transfer function of VSG control of feed-forward transient damping based on the analysis result, namely, a feed-forward transient damping transfer function, which can suppress power oscillation and reduce steady-state errors; step response and frequency domain characteristics are compared through simulation, and optimal parameters of a feed-forward transient damping transfer function are determined; and updating a feedforward transient damping VSG control algorithm structure by using the determined optimal parameter to control the VSG. The oscillation phenomenon of the output power of the energy storage system can be suppressed, and the power output stability is improved.

The application provides a kind of prediction control method, device and electronic equipment suitable for process industry model.The method comprises: obtaining the history of chemical plant controlled variable sequence, history control variable sequence and future control variable sequence;Unit step response prediction model is constructed, history controlled variable sequence and history control variable sequence are input into unit step response prediction model, and unit step response based on control variable and controlled variable is obtained, unit step response prediction model includes coding layer, attention layer, decoding layer and smoothing layer;Controlled variable prediction model is constructed, history controlled variable sequence, history control variable sequence, future control variable sequence and unit step response are input into controlled variable prediction model, and the future controlled variable sequence corresponding to future control variable sequence is obtained;By adjusting future control variable sequence, to control future controlled variable sequence is in set range.Solve the problem of low accuracy in the prediction of nonlinear variables in the field of process industry control in the prior art.

The application discloses a water flow control optimization method based on fishery environment dynamic monitoring and belongs to the technical field of control optimization, mainly including the following steps: constructing a fishery water flow PID control system, adopting an improved gray butterfly brood parasitism optimization algorithm to set parameters, and finally applying the best parameters obtained by optimization to a flow controller. The application utilizes reverse learning initialization to improve initial solution set coverage, gives individuals the ability to jump out of local extreme values through a Levy flight strategy, adopts a vector difference strategy to correct physical dimension and accelerate convergence, and applies a reverse defense restart mechanism to crack iteration stagnation by using spatial symmetry. The algorithm is applied to water flow PID parameter setting, reduces the overshoot and steady-state error of the system step response, shortens the adjustment time, and realizes precise dynamic control of the fishery environment water flow.

The invention provides a circuit fault diagnosis and protection system based on multi-parameter fusion, and relates to the technical field of circuit fault diagnosis and protection, and the system comprises a data collection module, a preprocessing module, a multi-parameter fusion diagnosis module, a protection execution module, a man-machine interaction module and a storage module. Five core parameters of the current, the voltage, the temperature, the power and the harmonic distortion rate of a circuit are collected, after Kalman filtering preprocessing, a fusion algorithm of weighted naive Bayes and an improved BP neural network is adopted for fault diagnosis, and in combination with a hierarchical protection mechanism, stepped response of early warning, current limiting and power failure is achieved. Experimental verification shows that the average diagnosis accuracy of the system on eight common faults such as overload, short circuit, poor contact and harmonic exceeding reaches 98.6%, the response time is about 7ms, the unnecessary shutdown frequency is reduced by 32%, compared with the prior art, the diagnosis reliability and the response speed are remarkably improved, and the system is suitable for multi-scene circuit protection of industrial control, an electric power system, electronic equipment and the like.

The application discloses a linear active disturbance rejection controller and a design method and a parameter setting method thereof, the design method constructs a gain parameter considering the influence of the order of a controlled object on the overshoot in the step response of the controller, introduces the gain parameter in a linear error feedback control law, dynamically adjusts the error component between the output of a linear tracking differentiator and the output of a linear extended state observer, thereby configuring the zero point of a forward channel of a system, i.e. the zero point of a closed-loop system, thereby reducing the overshoot. The input of a linear error feedback control law in the linear active disturbance rejection controller of the application is provided with a gain parameter, the input of the linear error feedback control law, the gain parameter dynamically adjusts the error component between the output of the linear tracking differentiator and the output of the linear extended state observer, thereby configuring the zero point of the forward channel of the system, i.e. the zero point of the closed-loop system, thereby reducing the overshoot.

The present application relates to the technical field of electric data processing, in particular to a motor compressor fault diagnosis method and device based on multi-source data analysis. The method collects the direct current intensity sequence and vibration intensity sequence of the motor compressor, removes the baseline under the respective dimension data in the step response section, iteratively accumulates and analyzes each time in the step response section, and respectively obtains the current drive cumulative intensity signal and the mechanical vibration cumulative intensity signal; the maximum nonlinear hysteresis is determined through the matching process, the maximum hysteresis time corresponding to the maximum nonlinear hysteresis is taken as the reference, the drive power is queried back as the verification power, the verification power and the maximum nonlinear hysteresis are taken as the fault judgment reference, and the fault judgment is performed. The present application can effectively analyze the motor compressor fault from the two dimensions, take the verification power as the judgment constraint, avoid the influence of inductance working condition on the final fault diagnosis result, and improve the detection accuracy of the motor compressor fault.

The invention provides a control loop steady state working condition step response identification method and system, and belongs to the technical field of DCS control systems. The method comprises the following steps: determining a corresponding operation time point and duration based on an operation sequence corresponding to each control loop; determining the end time of the corresponding step response based on the operation time point and the duration corresponding to each control loop and the observation sequence after time filtering processing; calculating corresponding step response credibility based on the operation time point, the duration time and the step response end time corresponding to each control loop and the observation sequence after time filtering processing; and determining a corresponding step response curve based on the step response credibility calculation result corresponding to each control loop. Therefore, the step response curve in the historical operation data of each control loop under the steady-state working condition is automatically identified, and a technical support is provided for identification and analysis of a controlled object optimized and set by PID parameters.

According to existing practical engineering application, the invention provides a small signal model establishment method and system suitable for a four-port extra-high voltage direct current system and a medium, and the method comprises the following steps: constructing a first linear state-space equation of an LCC direct current line; respectively constructing control equations, phase-locked loop equations and quasi-steady-state equations of a rectification side and an inversion side, and converting the control equations, the phase-locked loop equations and the quasi-steady-state equations into second and third linear state-space equations; performing coordinate transformation on the output current to obtain an equation under an xy coordinate system; and all equations are combined to obtain a complete small signal model. According to the model, a linearized state-space equation is established based on an LCC quasi-static and control system mathematical model, the system stability is analyzed through characteristic values, and the correctness is verified through time domain simulation step response comparison. The model can be combined with other elements of the power system through a global unified coordinate system, is suitable for stability analysis of the power system containing four-port direct current, and provides reference for system operation planning.

This invention relates to the field of grid converter control technology, and more particularly to an adaptive hybrid synchronization control method for a grid converter, comprising an active power outer loop controller, a hybrid synchronization control link, and an adaptive link; the system control angular frequency in the active power outer loop controller serves as the system control angular frequency input to the adaptive link; the adaptive angular frequency adjustment output by the hybrid synchronization control link is connected to the active power outer loop angular frequency of the active power outer loop controller; and the adaptive link outputs the hybrid synchronization adaptive gain of the hybrid synchronization control link. This invention can adaptively adjust the equivalent damping of the system according to the system state, ensuring a sufficiently fast power step response during normal system operation, and providing sufficient equivalent damping to ensure transient stability when the system enters a fault state.