65 results about "Transfer function model" patented technology

The invention discloses a robot track online compensation and precision control method and system based on multiple sensors, and belongs to the technical field of robot track control. The method comprises the following steps: acquiring target trajectory data and original data of each sensor, and performing time alignment on the original data of each sensor to generate a fusion data set comprising vibration acceleration data and pose data; performing time-frequency feature extraction based on the vibration acceleration data to obtain a dominant vibration frequency spectrum; constructing a mechanical transfer function model of the joint driving torque and the tail end vibration displacement; based on the mechanical transfer function model, constructing an adaptive notch filter to generate a feed-forward compensation sequence; according to the target trajectory data, the pose data and weight parameters, updated in real time, of the sensors, a trajectory fusion deviation value is obtained through calculation; and after the feedforward compensation sequence and the trajectory fusion deviation value are integrated, a joint driving current instruction is generated based on a fuzzy PID control algorithm. The robot trajectory control precision can be improved.

The invention relates to the technical field of attitude determination of a photoelectric pod of an unmanned aerial vehicle, in particular to an MEMS-IMU dual-mode correction attitude determination method for the photoelectric pod of the unmanned aerial vehicle. Comprising the following steps: establishing a damping system second-order transfer function model, and outputting an attenuation coefficient matrix; based on MEMS-IMU three-axis motion parameters, distinguishing a large maneuver turning state and a linear flight state; respectively compensating a roll angle, a pitch angle and a course angle of the MEMS-IMU by using the main inertial navigation according to different states; converting the corrected attitude angle into a quaternion, and optimizing and outputting a fused quaternion through a gradient descent method; taking the fused quaternion as an input, constructing a seven-dimensional state space model, and outputting an error compensation amount through Kalman filtering; dynamically adjusting the main inertial navigation weight according to the accelerated speed root mean square; and outputting a final attitude angle in combination with the error compensation amount and the weight, and verifying the final attitude angle through GNSS (Global Navigation Satellite System) position inversion. The method has the advantages that cross interference is avoided; therefore, the method is suitable for the photoelectric pod scene of the unmanned aerial vehicle.

The invention discloses a heat balance regulation and control method and device of a heat supply system and a medium, and relates to the technical field of automatic control of a central heating system.The method comprises the steps that based on a preset time interval, heat supply operation data, heat exchange operation data of all heat exchange stations and room temperature data of user nodes are collected, and the current heat supply working condition of the heat supply system is determined; inputting the heat exchange operation data into a preset extended transfer function model, and calculating a core parameter set of each heat exchange station based on the identification frequency corresponding to the current heating working condition; calculating a control parameter of a primary side valve of each heat exchange station node, and generating an opening degree adjustment amount; performing hierarchical coordination constraint verification on the control parameters and the opening degree adjustment amount to generate an opening degree regulation and control instruction of the primary side valve; and executing the opening regulation and control instruction, regulating the opening of the corresponding primary side valve, and collecting updated data after regulation. And on the premise of ensuring that the heating quality of a user continuously reaches the standard, autonomous optimization and long-term stability of operation of the heating system are realized.

The invention relates to the technical field of communication network maintenance, and discloses a communication network operation quality monitoring and closed-loop operation and maintenance scheduling management system, which comprises an acquisition unit for acquiring network element telemetry data; the observation module extracts a flow fingerprint, converts a link into a transfer function model, and generates a consistency gradient vector according to singular point offset; the echo prediction module converts the scheduling instruction into an expected gradient offset vector; the module calculates the scheduling residual error of the actually measured offset and the expected offset; the decision-making unit generates a path reconstruction instruction, and the scheduling residual error is utilized to check the execution efficiency and update the operation reference; according to the invention, the flow conduction consistency constraint is anchored, the link degradation characteristic and random fluctuation decoupling is realized, and the transient interference generated by the scheduling action is eliminated.

The invention relates to a flexible connection load transfer function identification method based on active frequency sweep excitation, and relates to the field of spacecraft attitude control, and the method comprises the following steps: a plurality of three-super platform actuators sequentially output sine frequency sweep excitation moments of a load in three rotation directions, and a high-bandwidth fiber-optic gyroscope simultaneously measures the triaxial angular velocity of the load; the obtained time domain result is converted into a frequency domain result, and then load transfer function model identification is carried out; and adjusting controller parameters in the three-super platform control unit based on the identification model so as to increase the control bandwidth and improve the secondary control capability on the basis of ensuring the stability margin of the controller in the three-super platform control unit. And a technical basis is provided for ultrahigh-precision pointing, ultrahigh-stability control and high-quality imaging of optical loads of spacecrafts in the future.

The invention discloses an improved Smith control method for a maritime lightering device, and the method comprises the following steps: S1, building a maritime lightering device kinematics equation based on kinematics analysis; S2, solving a maritime lightering device inverse kinematics equation according to the kinematics equation; s3, a hydraulic servo system is considered, and an offshore lightering device transfer function model is established; s4, designing an improved Smith control method, and constructing an output delay observer; and S5, realizing wave compensation and active operation of the lightering device by using an inverse solution control method, and correcting the tail end position of the lightering device by using the output of the improved Smith controller. According to the method, the problem of control residual errors existing in a classical Smith estimation compensation method can be solved, and therefore it is guaranteed that a maritime lightering device can rapidly and accurately compensate ship swaying motion caused by marine environment disturbance.

This invention provides a method for the actual calculation of the inertial time constant of water flow in a hydropower unit. It defines a time-invariant inertial time constant based on rated operating parameters; establishes a rigid water hammer transient transfer function that includes the effects of pipeline hydraulic losses and the inertial time constant, thus avoiding the difficulties in measuring large-diameter flow rates in hydropower stations; establishes a transfer function model between the guide vane opening increment and the volute pressure increment based on the rigid water hammer transient transfer function; and establishes a calculation formula for the inertial time constant based on the measured transient data of the guide vane opening increment and the volute pressure increment, using the transfer function model. By performing tests and calculations near rated operating conditions, this method avoids the difficulty in calculating the overflow coefficient due to guide vane opening deviation, and solves the measurement difficulties caused by the fact that the influence of the inertial time constant only exists in the transient process and disappears in steady state.

This invention relates to an intraday MPC scheduling optimization method for combined cooling, heating, and power (CCHP) microgrid systems. The purpose of this invention is to overcome the shortcomings of existing technologies and propose an intraday MPC scheduling optimization method for CCHP microgrid systems. The technical solution of this invention provides an intraday MPC scheduling optimization method for CCHP microgrid systems, comprising: S1, constructing transfer function models for each device in the microgrid system; S2, constructing a custom constraint set based on the energy constraints of each device; the energy constraints include capacity; S3, using the sum of the standard cost function and the custom cost function as the final optimization objective function; S4, setting appropriate time intervals, prediction time domains, and control time domains, and employing a sequential quadratic programming optimization algorithm to achieve MPC optimized scheduling calculations. This invention is applicable to the field of energy dispatching technology.

The invention discloses a photovoltaic grid-connected inverter parameter multi-objective optimization design method, system and device and a storage medium, and belongs to the technical field of new energy grid connection, and the method comprises the steps: constructing a control frame of a photovoltaic grid-connected inverter system, and the control frame comprises a filter and a controller; establishing a harmonic content model for representing the harmonic content of the output current of the system and a transfer function model for representing the dynamic response characteristics of the system based on the control framework; preliminarily determining a feasible region of filter parameters according to the electrical indexes, and determining a final feasible region of the filter and controller parameters based on a transfer function model; establishing a multi-dimensional optimization objective of the system, and solving a multi-dimensional optimization objective function to obtain optimal parameter configuration of the system; the method can achieve the collaborative optimization of harmonic suppression, dynamic adjustment time, steady-state control precision and filter cost, balance performance and economy, flexibly adapt to different engineering priority requirements, can be directly applied to engineering design, and improves the comprehensive operation performance of a photovoltaic grid-connected system.

The application discloses a kind of self-adapting transfer function equalization vector sensor background noise measurement method and system, belong to underwater acoustic sensor technical field.The output signal of the vector sensor to be measured and the reference signal of reference sensor are obtained;Based on the reference signal input to adaptive filter, the weight coefficient of adaptive filter is dynamically updated by adaptive algorithm, to establish the time-varying transfer function model from reference sensor to the sensor to be measured;Based on time-varying transfer function model, the reference signal is processed, and the result that input signal is transferred to the sensor to be measured by reference sensor transfer function compensation is obtained;The output signal of the vector sensor to be measured and the compensated signal are input into DHCM algorithm, and the background noise estimation of the sensor to be measured is obtained.The application is used to solve the problem that indirect measurement algorithm for different sensors will be distorted, aims at effectively improving the accuracy and environmental adaptability of low-frequency band background noise measurement.

The application provides a boiler-turbine coupling process modeling method based on an improved particle swarm optimization algorithm, and relates to the field of thermal power generation technology. The method first establishes a three-input three-output boiler-turbine coupling process transfer function matrix model; collects historical operation data of a thermal power generating unit and performs zero-mean preprocessing to construct a training data set and a test data set for verification; then uses the improved particle swarm optimization algorithm to identify the parameters to be identified in the boiler-turbine coupling process transfer function model; substitutes the identified parameters into the boiler-turbine coupling process transfer function matrix model to form a complete boiler-turbine coupling process transfer function matrix model, and uses the test set to verify the model precision. The boiler-turbine coupling process transfer function matrix model established based on actual operation data provides a reliable theoretical basis and technical support for the subsequent advanced control strategy design and optimized operation of ultra-supercritical units.

The invention discloses an integrated energy system equipment dynamic modeling method based on mechanism and residual correction, which comprises the following steps of: obtaining a physical structure and equipment of an integrated energy system, and respectively constructing a first principle model of each equipment; building a scheduling-oriented closed-loop control system model of the equipment based on the first principle model of each equipment, and building a scheduling-oriented linear transfer function model of the equipment through a system identification method; generating equipment variable working condition scheduling instruction data by adopting a pseudo-random multi-level signal, taking the data as input of a first principle model and a transfer function model of the equipment, and sampling to obtain an input and output parameter data set of each piece of equipment; constructing and training based on the operation parameter data set to obtain an MLP residual correction model; and connecting the transfer function model and the MLP residual correction model in series to construct a hybrid drive model framework. The modeling precision and the calculation efficiency of the integrated energy system equipment are improved, and a model basis is provided for economic dispatching of the integrated energy system.

The application provides a three-dimensional special-shaped light waveguide laser direct writing method and system, and relates to the technical field of laser.The method comprises the following steps: based on an initial topography control vector, cooperative calculation and optimization are performed through a preset process model, the process model is integrated with a material response database, a slit transfer function model and a scanning superposition model, so that a cooperative control instruction set for each path point is generated, and the instruction set accurately specifies the states that need to be synchronously reached by a polarization control unit, an electric slit mechanism and a laser power module when laser reaches each path point; a three-dimensional displacement platform is driven to scan along a path point sequence, and a topography cooperative controller performs interpolation calculation on the instructions of adjacent path points in the cooperative control instruction set according to real-time position feedback of the platform.The application can actively design the waveguide cross section geometry topography and accurately realize it in three-dimensional space.

This invention relates to a method for identifying the transfer function of a flexible connection load based on active frequency sweep excitation, relating to the field of spacecraft attitude control. The method includes the following steps: several triple-platform actuators sequentially output sinusoidal frequency sweep excitation torques in three rotational directions of the load; a high-bandwidth fiber optic gyroscope simultaneously measures the three-axis angular velocities of the load; the obtained time-domain results are converted to frequency-domain results, followed by load transfer function model identification; based on the identified model, the controller parameters in the triple-platform control unit are adjusted to increase the control bandwidth and enhance secondary control capabilities while ensuring the stability margin of the controller in the triple-platform control unit. This invention has the advantage of maximizing secondary control capabilities, providing a technical foundation for ultra-high precision pointing, ultra-high stability control, and high-quality imaging of future spacecraft optical payloads.

The application provides a piezoelectric positioning platform noise reduction control method based on disturbance observation, comprising the following steps: S1: establishing a transfer function model of a positioning platform driven by a piezoelectric driver; S2: combining the obtained transfer function model and a desired model to design a disturbance observer, and giving a parameter expression of a nominal model embedded in the disturbance observer; S3: designing a filter in a main feedback loop to reduce the response of the main loop to high-frequency measurement noise and modeling errors, and designing an anti-interference controller based on the disturbance observer; S4: giving conditions to be met for system stability, and selecting control parameters in combination with the anti-interference controller and the desired model. The application mainly aims at the influence of high-frequency modeling errors, environmental disturbances and measurement noise on piezoelectric positioning platform control, can improve the servo accuracy and robustness of the piezoelectric positioning platform, and is suitable for engineering application.

This invention belongs to the field of active power regulation technology for wind turbine generators, specifically relating to a method, system, equipment, and medium for dynamically adjusting the active power of a wind farm based on the fruit fly algorithm. This invention establishes a transfer function model for active power allocation, combines historical data with the total allocated active power, and uses the least squares method to determine the values ​​of the model coefficients to be identified. Based on the model coefficients, a differential format formula for the wind farm active power allocation model is derived. Then, the fruit fly algorithm is used to dynamically adjust the proportional, integral, and derivative parameters in the PID algorithm, and combined with the wind farm active power allocation model formula, the total allocated active power is dynamically adjusted. Based on the total allocated active power and the theoretical power of a single wind turbine and the overall theoretical power of the wind farm, the active power allocated to each wind turbine is calculated.

The invention discloses a VSG stability analysis method and system based on power grid intensity disturbance, and belongs to the technical field of virtual synchronous generator control. According to the method, a small signal model of VSG power grid intensity disturbance is established, the small signal model of power grid intensity change is introduced into a closed-loop control model of a VSG system, and a coupling transfer function between the power grid intensity disturbance and active power and reactive power is deduced; further constructing an oscillation transfer function model, quantitatively analyzing the influence of the power grid intensity disturbance on the electrical quantity of the system, and judging the stability and oscillation transfer effect of the system under the disturbance through the amplitude of a transfer function; according to the method, the blank that a traditional small-signal model does not consider the influence of power grid strength change is filled, the dynamic behavior of the system under power grid parameter perturbation can be accurately predicted, the precision and accuracy of stability analysis are improved, and a theoretical basis and technical support are provided for VSG system control parameter optimization and robustness improvement.

This invention belongs to the field of industrial noise control technology and discloses an active noise control method for vibration noise in precast beam factories. The method includes the following steps: S1, signal preprocessing and frequency band focusing; S2, secondary path identification and modeling; S3, calculation of the filtered reference signal; S4, initialization of control parameters; S5, calculation of the desired signal for the main path; S6, main loop processing. The beneficial effects of this invention are as follows: 1. An adaptive divergence detection mechanism based on error signal energy monitoring is introduced into the traditional SAS-FxLMS algorithm. When the error energy exceeds a preset multiple of the original energy, the algorithm is determined to be diverging, and a recovery mechanism is automatically triggered. 2. When the norm exceeds a preset threshold, the weight vector is scaled proportionally to reduce its norm to within the threshold range, ensuring the numerical stability of the algorithm. 3. The transfer function models of the main path and secondary paths are optimized according to the characteristics of the target frequency band center frequency (150Hz); the algorithm parameters are dynamically adjusted according to the peak factor, RMS value, and other characteristic parameters of the input signal.

The invention relates to the technical field of data processing of a control system, in particular to an internal model control system based on real-time self-adaptive online identification of an industrial system, which comprises a real-time data acquisition unit for acquiring an actuator opening instruction value, an actual controlled system output value and a model controlled system output value; the deviation calculation unit outputs a deviation value between the actual output value of the controlled system and the output value of the model controlled system; the dynamic parameter identification unit generates a weight factor in a linear proportional relationship with the square of the deviation value, outputs an adjusted gain parameter when the weight factor is greater than a preset threshold value, and outputs an adjusted time constant parameter when the weight factor is smaller than the preset threshold value; the internal model control model updating unit reconstructs a transfer function model; the controller parameter optimization unit outputs an optimized actuator opening instruction value; and the control execution unit drives the execution mechanism to enable the actual controlled system output value to respond to the instruction change. According to the method, the problems of dynamic response degradation and steady-state error increase caused by fixed parameter model mismatch are solved.

This invention relates to a stability measurement method for a constant-temperature hot-wire anemometer based on the identification of equivalent pure delay element parameters, belonging to the field of fluid measurement and automatic control technology. The method disclosed in this invention includes the following steps: S1. Connecting an ultra-low frequency low-pass filter to the closed-loop circuit of the system to form an in-situ open-loop system with a DC closed loop and an AC open loop; S2. Injecting a sweep frequency excitation signal E at the bias circuit. stimu And measure the output response E of the amplifier circuit. a By comparing the amplitude ratio and phase difference of the two, the open-loop frequency response G of the system under actual operating conditions of the hot wire is obtained. open (jω); S3. Using the preset transfer function model G * open (s) Fit the measured frequency response to identify the pure delay element G introduced by non-ideal factors such as circuit distributed parameters and device hysteresis. delay (s), and uses its parameter b to quantify the non-ideal factors of the system. This invention realizes in-situ measurement of system stability, quantifies non-ideal factors into measurable parameters, and provides a reliable basis for system stability analysis and circuit design.

The present application relates to the technical field of generator set rotor eccentricity measurement, in particular to a kind of generator set rotor eccentricity online measurement method and system, two displacement sensors are respectively arranged in the cross section of the outside of rotor bearing and the cross section of across, to form double cross section measurement array;Synchronously collect the gap signal of each sensor and convert into effective physical gap value;Respectively solve to obtain the common mode motion coordinates of bearing and the original comprehensive motion coordinates of across;Using the shafting transfer function model established by system identification in advance, the common mode motion coordinates are corrected, and the transfer component in the cross section of across is predicted;Subtract the transfer component from the original comprehensive motion coordinates, obtain the pure rotor dynamic eccentricity coordinates;Finally, the total eccentricity is synthesized and intelligent early warning is carried out.The present application realizes the high-precision online measurement of rotor eccentricity, effectively eliminates the interference of shaft neck wobble and other common mode motion, and the measurement result is accurate and reliable.

The invention provides a transient oscillation rule analysis method for a double-loop PI control direct current power flow controller. The method comprises the following steps: segmenting a small signal model of the double-loop PI direct current power flow controller; carrying out transfer function model construction on the autonomous DC power flow controller system obtained after segmentation; performing singular value decomposition on the autonomous DC power flow controller; natural damping distribution and injection power distribution are defined to quantify the line symmetry degree, and then the influence of the line symmetry degree on transient oscillation of the autonomous system is regularly summarized through the singular value decomposition technology. According to the method, natural damping distribution and injection power distribution are innovatively defined, the application line symmetry degree of the inter-line direct current power flow controller is further quantized, and application line configuration for reducing transient oscillation of the direct current power flow controller is given in combination with singular value analysis.

The present application relates to the technical field of unmanned aerial vehicle photoelectric pod attitude measurement, and particularly relates to a MEMS-IMU dual-mode correction attitude measurement method for an unmanned aerial vehicle photoelectric pod. The method comprises the following steps: a shock absorption system second-order transfer function model is established to output a decay coefficient matrix; based on MEMS-IMU three-axis motion parameters, large maneuvering turning and straight flight states are distinguished; according to different states, the main inertial navigation is used to compensate the MEMS-IMU roll angle, pitch angle and heading angle respectively; the corrected attitude angle is converted into a quaternion, and the gradient descent method is used to optimize the output fusion quaternion; the fusion quaternion is taken as input to construct a seven-dimensional state space model, and the Kalman filter is used to output error compensation; the weight of the main inertial navigation is dynamically adjusted according to the root mean square of acceleration; the error compensation and the weight are combined to output the final attitude angle, which is verified by GNSS position inversion. The method has the advantages of avoiding cross interference, improving the attitude measurement precision and stability, and being suitable for the unmanned aerial vehicle photoelectric pod scene.

This invention discloses a method for tuning controller parameters of a MUDE control system, comprising the following steps: establishing transfer function models for first-order stable, integral, and unstable time-delay processes of a thermal time-delay process; obtaining the two-degree-of-freedom equivalent control structure and its equivalent controller of the MUDE control system, and then scaling the transfer function model and the controller parameters of the MUDE control system; analyzing the nominal stability of the MUDE control system based on the dual-track method to obtain the nominal stability region of the MUDE controller parameters; and selecting controller parameters based on the nominal stability region, according to the tracking speed, disturbance rejection performance, and robust stability requirements of the MUDE closed-loop control system, according to a unified quantitative tuning rule. This method can directly obtain MUDE controller parameters based on easily obtainable transfer function models of time-delay systems, and the obtained controller parameters can guarantee nominal stability while possessing good robustness, tracking performance, and disturbance suppression performance, thus reducing the burden of MUDE controller parameter adjustment.

The invention discloses a control method, device and equipment of an online liquid preparation system and a medium, and relates to the field of industrial process automatic control. The method comprises the following steps: acquiring a preparation data set of an online liquid preparation system in a preparation process; the preparation data set comprises a liquid preparation control parameter sequence and an index parameter sequence; constructing a transfer function model of the online liquid preparation system according to the preparation data set, and identifying initial parameter values in the model; constructing a target cost function by considering a mean square error of the transfer function model, a control parameter change penalty term and a regular term of a model parameter; based on the initial parameter value and the target cost function, performing iterative optimization on model parameters in the transfer function model by adopting an optimization algorithm to obtain optimal model parameters; determining a fuzzy PID controller by adopting a fuzzy control principle according to the optimal model parameters; and a fuzzy PID controller is adopted to adjust the liquid preparation control parameters at all moments. According to the invention, accurate and stable control of the liquid preparation control parameters of the liquid preparation system can be realized.

The invention discloses an electro-hydraulic servo loading system PID control method and system based on an improved particle swarm optimization algorithm, and the method specifically comprises the steps: building a third-order transfer function model of an electro-hydraulic servo loading system, setting parameters of the improved particle swarm optimization algorithm and a PID controller parameter search space, and initializing a particle swarm; within the maximum number of iterations, executing a loop optimization process including asynchronous learning coefficient updating, nonlinear inertia weight updating, particle state updating, fitness evaluation and extreme value updating, and elite learning and a particle restart mechanism; and after a termination condition is met, outputting a global optimal PID parameter, and applying the global optimal PID parameter to an electro-hydraulic servo loading system to realize high-precision force tracking control. The problems of model nonlinearity and parameter time varying of the electro-hydraulic servo loading system and difficulty in parameter setting of a traditional PID controller are solved, the control precision is improved, the PID control robustness of the electro-hydraulic servo loading system is enhanced, and the working condition adaptability is improved.

The invention discloses an inverter power supply fault current analysis method and system. The method comprises the following steps: determining a transfer function model of a positive and negative sequence component extraction module; deducing a complex frequency domain transfer function model of the inverter power supply based on the positive and negative sequence component extraction module transfer function model; analyzing the inverse inverter type power supply fault equivalent model to obtain a fault analysis model of voltage drop response and current instruction response; and analyzing the fault current of the inverter power supply based on a fault analysis model of the voltage drop response and the current instruction response. According to the method and the system for analyzing the asymmetric short-circuit fault current of the inverter power supply, a transfer function model of a double-second-order generalized integrator (DSOGI) is established, the influence of a sequence component extraction link on a current inner ring is quantized, and theoretical support is provided for a transient state quantity protection algorithm.

The application provides a thermal power plant industrial system control method and device and a computer readable storage medium, and belongs to the field of thermal power plant industrial system control. The thermal power plant industrial system control method comprises the following steps: determining a plurality of regulated objects of a thermal power plant industrial system, a plurality of controlled objects corresponding to the regulated objects and a plurality of disturbance objects; establishing a transfer function model corresponding to each regulated object of each controlled object, obtaining an optimal control rate matrix through a plurality of transfer function models corresponding to the plurality of controlled objects; substituting a deviation amount of the regulated object and a deviation amount of the disturbance object collected in real time into the optimal control rate matrix to obtain a first control amount of each controlled object; calculating a second control amount of each controlled object according to a fuzzy calculation algorithm; and adjusting the controlled object according to the first control amount and the second control amount of the controlled object.

The invention provides a machine-furnace coupling process modeling method based on an improved particle swarm optimization algorithm, and relates to the technical field of thermal power generation. The method comprises the following steps: firstly, establishing a three-input three-output boiler-steam turbine coupling process transfer function matrix model; historical operation data of the thermal generator set are collected, zero-mean preprocessing is carried out, and a training data set and a test data set for verification are constructed; identifying parameters to be identified in the boiler-steam turbine coupling process transfer function model by adopting an improved particle swarm algorithm; and substituting the identified parameters into the boiler-steam turbine coupling process transfer function matrix model to form a complete turbine-steam turbine coupling process transfer function matrix model, and verifying the model precision by using a test set. According to the method, a boiler-steam turbine coupling process transfer function matrix model is established based on actual operation data, and reliable theoretical basis and technical support are provided for advanced control strategy design and optimized operation of a subsequent ultra-supercritical unit.

The invention discloses a flexible gain scheduling control method for a deep peak regulation unit, and the method solves the problems that the dynamic characteristics of the unit are time-varying and a single model cannot be accurately described in a wide load range through carrying out an open-loop step response test under a plurality of typical working condition points and identifying a transfer function model. According to the method, the model integration type active disturbance rejection controller is adopted, and the transfer function model information obtained through identification is integrated into the extended state observer, so that the extended state observer can identify the inherent dynamic characteristics of the system more accurately. For a deterministic dynamic link, a control instruction can be directly fed forward through model information, the estimation lag of an observer is reduced, and the response speed of control tasks such as load tracking and pressure regulation is greatly improved. For nonlinear or time-varying characteristics, the model information can assist the extended state observer to more accurately separate dynamic and external disturbance / model mismatch in the model, so that the control precision is improved.