16 results about "Nonlinear decoupling" patented technology

The invention relates to the technical field of force sensors, and discloses a nonlinear decoupling method and system for a three-axis force sensor, and the method comprises the steps: collecting multi-dimensional original data, and carrying out the adaptive noise reduction, dynamic selection of a wavelet basis, and construction of a filtering matrix, and obtaining a noise reduction signal through calculation; constructing a dynamic PINN proxy model, fusing material parameters and environment parameters, outputting a stiffness matrix, establishing an online parameter updating mechanism, calculating the obtained optimization parameters, and constructing an enhanced dynamic compensation matrix; the output stiffness matrix and the enhanced dynamic compensation matrix are fused, and a main singular value is reserved; reconstructing to obtain a reconstructed strain field, establishing a multi-physics field coupling model to compensate quantum-thermal coupling errors, and compensating wire inductive coupling under high frequency; constructing a multi-scale graph structure, strengthening a loss function through physical constraint, performing crystal plasticity hysteresis compensation, fusing multi-scale features, and calculating and outputting a decoupling force value; and an intelligent calibration decision is established, the drift trend is predicted, and the calibration period is dynamically adjusted.

The invention relates to an energy efficiency optimization method for a dynamic load of a central air conditioner, which comprises the following steps of: establishing a response relationship among a cold and heat source, a transmission and distribution system and end equipment, identifying a nonlinear decoupling characteristic of a cold and heat response behavior by monitoring operation deflection of each level of equipment under a low-load working condition, and defining and updating a cooling capacity response deviation threshold in real time; on the basis of the cooling capacity response deviation threshold, delay compression control is conducted on response actions of the refrigerant side and the air medium side, and by adjusting the air side response time sequence in advance, dynamic thermodynamic equilibrium is formed between refrigerant transfer delay and air medium response in advance; by establishing the response relationship among the cold and heat source, the transmission and distribution system and the end equipment and introducing a cold capacity response deviation threshold dynamic updating mechanism, nonlinear coupling mismatch in a cold and heat transmission chain can be accurately identified, so that the system is more flexible to operate under low-load and variable-load conditions, frequent start and stop or redundant operation of the cold and heat source is avoided, and the system reliability is improved. And therefore, the overall COP value of the system is remarkably increased, and unit cooling capacity consumption is reduced.

The present application relates to the technical field of force sensor, disclose a kind of nonlinear decoupling method and system of triaxial force sensor, comprising: acquisition multi-dimensional original data, and carry out adaptive noise reduction, dynamically select wavelet base, construct filter matrix and obtain denoising signal;Dynamic PINN proxy model is constructed, material parameters and environmental variables are fused, and stiffness matrix is output, online parameter updating mechanism is established, and the optimized parameter calculated is constructed enhanced dynamic compensation matrix;The output stiffness matrix and enhanced dynamic compensation matrix are fused and the main singular value is reserved;Reconstruction obtains reconstructed strain field, establishes multi-physical field coupling model compensation quantum-thermal coupling error, and compensates the lead inductance coupling under high frequency;Multi-scale graph structure is constructed, loss function is reinforced by physical constraint, crystal plasticity hysteresis compensation is carried out, multi-scale features are fused, and the decoupling force value is calculated;Establish intelligent calibration decision, predict drift trend and dynamically adjust calibration cycle.

The application relates to the field of intelligent control of heat exchangers, and discloses a heat exchanger heat distribution control method based on multi-target optimization, which collects operation data under multiple working conditions and carries out labeling; nonlinear decoupling mapping of heat exchanger multi-working condition thermodynamic parameters and low-dimensional working condition feature extraction; flow distribution multi-target optimization based on double pheromone cooperation and thermodynamic constraint projection; online decision and valve opening degree instruction dynamic smoothing mapping based on variable weight target heart closeness; heat distribution closed-loop control based on variable weight decision and valve dynamic smoothing mapping. The application has the beneficial effect that the sensitivity of entropy production rate to each operation parameter is used as physical guiding information to reweight the original operation state vector in the sense of thermodynamics, so that the subsequent low-dimensional feature extraction and optimization process preferentially pays attention to key variables that truly affect irreversible loss, instead of simply relying on numerical compression.

The present application relates to the technical field of industrial control system, disclose a kind of basin ecological water resources multi-objective collaborative optimization control method, comprising: the state space model of controlled unit is built, disturbance parameter sequence is collected;According to model prediction solution obtains control feasible solution set under different working conditions, extract the public intersection satisfying threshold constraint to establish robust control envelope set;Real-time monitoring the state deviation rate of change of controlled main loop, according to this dynamic adjustment controlled slave loop control dead zone;According to the deviation attenuation characteristics of main loop, anti-saturation reset is implemented to the integral regulator of slave loop, and inertia filter is implemented to given value, the present application establishes online adjustment boundary using robust control envelope set, reduces the impact of random disturbance on control law stability, effectively suppresses the oscillation generated in the adjustment process, realizes the nonlinear decoupling of different time scale control loop, and guarantees the running stability of controlled object.

The application discloses a kind of weak peak active enhancement and nonlinear decoupling's full-spectrum water quality monitoring method, comprising: obtaining original multi-source data and carrying out baseline normalization and environmental verification, to obtain synchronous data;Based on synchronous data, active enhancement processing is executed, to obtain enhancement spectrum and enhancement quality data;Using enhancement spectrum, enhancement quality data and synchronous data, nonlinear decoupling processing is executed, to obtain correction concentration and decoupling quality data;Based on decoupling quality data and enhancement quality data, quality evaluation and closed-loop control are carried out, to generate monitoring result and system parameter for feedback control.The application can effectively enhance weak peak signal, and robustly decouples environmental nonlinear interference, improves the accuracy and robustness of monitoring.

The invention provides an environment-friendly pipeline self-adaptive drying system based on multiple working conditions of a construction site and a control method, belongs to the technical field of pipeline drying, and is used for solving the problems that a traditional pipeline drying system is poor in swivel adaptation, low in control precision, weak in interference resistance and disjointed with subsequent procedures in the prior art. According to the scheme, control is achieved by collecting geometric parameters and flow field characteristics of a rotating body and quantifying interference coefficients, constructing double-closed-loop control logic containing dynamic weights, regular self-evolution and process constraints and combining nonlinear decoupling, multi-modal interference prediction, mixed digital twinborn rehearsal, subsystem collaborative optimization and full-link feedback. The multi-form rotation pipeline environment protection and energy consumption cooperation can be achieved, novel composite working conditions are adapted, extreme interference is resisted, follow-up construction procedures are joined, and the adaptability and stability of a drying system are improved.

The invention discloses a safety braking control method and system for a vehicle, and the method comprises the following steps: S1, obtaining whole vehicle operation data and driver operation data in a vehicle braking process, and carrying out the preprocessing of the data; s2, constructing a driver braking intention representation vector based on the preprocessed data, and constructing a road adhesion uncertainty index at the same time; and S3, performing dynamic decoupling modeling on the braking intention representation vector and the road adhesion uncertainty index through a nonlinear decoupling mapping model. The invention relates to the technical field of vehicle safety control. According to the safety braking control method and system for the vehicle, through a transient energy reconstruction model, the braking system characteristics and the energy evolution law are fused, a multi-wheel pressure distribution matrix and a pressure rising curve are output in real time based on braking effectiveness feedback, and self-adaptive adjustment of braking force of different wheels is achieved; and the braking distance control precision and the vehicle driving stability are effectively improved.

The application relates to a water purification material automatic adding system for sewage treatment, belonging to the technical field of sewage treatment, which comprises a multidimensional state sensing module for real-time acquisition of multi-physical field key parameters affecting flocculation process stability; a risk assessment module for receiving the multi-physical field key parameters output by the multidimensional state sensing module and calculating a risk index representing a collapse critical risk of the flocculation process based on a preset physical model; a nonlinear decoupling control module for receiving the risk index calculated by the risk assessment module and generating control instructions for flocculant adding speed and stirring speed according to the comparison result of the risk index, a preset safety threshold and a danger threshold; and an execution module for adjusting the flocculant adding speed and the stirring speed in response to the control instructions generated by the nonlinear decoupling control module. The application can accurately predict the collapse possibility before macroscopic deterioration of the flocculation effect.

The present application relates to the technical field of industrial control system, disclose a kind of basin ecological water resources multi-objective collaborative optimization control method, comprising: the state space model of controlled unit is built, disturbance parameter sequence is collected;According to model prediction solution obtains control feasible solution set under different working conditions, extract the public intersection satisfying threshold constraint to establish robust control envelope set;Real-time monitoring the state deviation rate of change of controlled main loop, according to this dynamic adjustment controlled slave loop control dead zone;According to the deviation attenuation characteristics of main loop, anti-saturation reset is implemented to the integral regulator of slave loop, and inertia filter is implemented to given value, the present application establishes online adjustment boundary using robust control envelope set, reduces the impact of random disturbance on control law stability, effectively suppresses the oscillation generated in the adjustment process, realizes the nonlinear decoupling of different time scale control loop, and guarantees the running stability of controlled object.

The invention discloses a calibration data enhancement method for a six-dimensional force / torque sensor, and the method comprises the steps: carrying out the calibration experiment of the six-dimensional force / torque sensor through a counterweight type loading method, and obtaining the output data of the sensor in real time; a data vector composed of output data of each loading point sensor and an actual loading force value forms training data and test data; self-adaptive interpolation is carried out according to the local linear error of each loading point, and data is expanded; and finally, merging the training data and the extended data obtained by interpolation, inputting the merged data into a six-dimensional force / torque decoupling model for weighted training, fixing model parameters to obtain a final decoupling model, and checking the decoupling effect of the model by adopting test data so as to realize data enhancement. According to the method, on the premise that the experiment complexity is not increased, the space density and feature expression ability of the training data set are enhanced, the generalization ability of the nonlinear decoupling model in an unknown loading state is improved, and the measurement accuracy and stability of the six-dimensional force / torque sensor are improved.

This invention discloses a method and system for decoupling and evaluating the combined capacity value of wind and energy storage, relating to the field of new power system planning and operational reliability assessment technology. The method includes: acquiring full-time-series basic data and defining the basic value of system adequacy; obtaining the optimal energy storage charging and discharging execution strategy through wind-energy storage joint operation simulation; executing dynamic reconstruction and joint output truncation of the real risk period set; obtaining the reconstructed real risk period set; and extracting the joint output time-series statistical characteristic parameters; finally, using an equivalent reliable capacity assessment model, solving for the overall equivalent capacity value of the wind-energy storage joint system to the power grid, thereby achieving nonlinear decoupling and confirmation assessment of the effective capacity of the wind power itself. This invention overcomes the limitations of traditional capacity assessment methods, such as fixed energy storage operation strategies, static extraction of risk periods, and difficulty in separating joint gains. It provides a quantitative basis for optimizing the long- and short-term energy storage capacity configuration of high-proportion wind power systems and designing power market capacity compensation mechanisms.

The invention discloses a weak peak active enhancement and nonlinear decoupling full-spectrum water quality monitoring method, which comprises the following steps: acquiring original multi-source data and carrying out baseline normalization and environment verification to obtain synchronous data; performing active enhancement processing based on the synchronous data to obtain enhanced spectrum and enhanced quality data; performing nonlinear decoupling processing by utilizing the enhanced spectrum, the enhanced quality data and the synchronous data to obtain correction concentration and decoupling quality data; and performing quality evaluation and closed-loop control based on the decoupling quality data and the enhanced quality data, and generating a monitoring result and system parameters for feedback regulation and control. According to the method, the weak peak signal can be effectively enhanced, the non-linear interference of the environment can be decoupled robustly, and the monitoring accuracy and robustness are improved.

The present invention discloses a power supply fast charging pulse current control system and method based on current monitoring, which specifically relates to the field of power supply management technology. By collecting pulse current signals during the battery charging process, nonlinear decoupling analysis is performed to decompose the pulse current signals into a first characteristic subvector representing the actual charging state of the battery and a second characteristic subvector representing the high-frequency harmonic interference state. The battery electrochemical impedance change trend is predicted based on the first characteristic subvector to form an instant charging acceptance capability evaluation index. The harmonic interference degree is evaluated based on the second characteristic subvector to form a charging state misjudgment risk level index. Based on the battery instant charging acceptance capability evaluation index and the battery charging state misjudgment risk level index, the optimal pulse current control strategy is determined, and the power supply output parameters are adjusted in real time, effectively solving the state misjudgment problem caused by the coupling of high-frequency harmonic interference and electrochemical impedance, and improving the battery charging performance and long-term reliability.

The invention relates to the technical field of optical waveguide master mask defect compensation photoetching, in particular to a composite optical waveguide master mask defect compensation photoetching system and method, a nonlinear decoupling model of grating period-wavelength-Talbot distance is constructed by adopting a Newton-Rafson iteration method, and a multi-physical field compensation matrix is generated by combining an FDTD simulation correction dispersion effect. The positioning unit realizes sub-nano-scale substrate positioning through homogeneous coordinate transformation and thermal drift PID control, and the motion control module utilizes Fourier series filtering to optimize trajectory planning and cooperates with liquid crystal phase modulation and polarization state real-time calibration to maintain light field uniformity. The defect suppression unit fuses Fresnel diffraction integral and deep learning feature matching, and realizes time-space domain cooperative suppression of high-frequency defects through a double average algorithm. And the quality verification module establishes a closed-loop feedback network, and a parameter acquisition model is dynamically optimized by utilizing machine learning, so that the technical contradiction that a defect suppression blind area and the system complexity are difficult to consider in the prior art is effectively solved.

This invention belongs to the field of intelligent control technology for aquaculture environments, specifically involving an adaptive control method based on multi-parameter linkage of temperature, humidity, and ammonia concentration. It collects real-time data on temperature, humidity, and ammonia concentration in the poultry house; constructs an ammonia release kinetic model using a variant of the Clausius-Clapeyron equation to achieve multi-dimensional parameter nonlinear decoupling preprocessing; introduces a multi-objective optimization strategy based on dynamic weight allocation according to the laying hen's growth cycle to define a composite environmental comfort index; executes variable frequency ventilation logic based on a decoupling matrix to calculate the minimum ventilation volume required for ammonia levels to reach standards and heat balance, activating an adaptive heat compensation mode when parameters conflict; and achieves precise linkage adjustment of environmental parameters through PLC-driven collaborative operation of fans, heaters, regulating valves, and other actuators. It possesses advantages such as thorough parameter decoupling, high control precision, strong adaptability, low operating energy consumption, and system stability and reliability, significantly improving the comfort and production efficiency of laying hen farming environments.