34 results about "Decoupling controller" patented technology

The invention relates to the technical field of ceramic intelligent manufacturing, in particular to a ceramic firing process thermal deformation intelligent prediction and self-adaptive temperature precise regulation and control system, which comprises a multi-source sensing module (a thermal infrared camera array, a temperature sensor, a laser displacement meter and a powder characteristic analyzer); a hybrid prediction model (a space-time convolutional neural network constrained by a physical mechanism); and the self-adaptive temperature control actuator comprises a partitioned burner group, a quenching / slow cooling pipeline and a gas-air volume decoupling controller. According to the scheme, through a multi-mode perception-hybrid modeling-dynamic optimization full-process closed-loop architecture, the single-point technical limitation of existing patents is broken through, and the zero-defect precise manufacturing target of ceramic firing is achieved.

The invention relates to the technical field of sewage treatment automatic control, and discloses a control system for a sewage treatment plant, which comprises a multi-modal biosensing module, the multi-modal biosensing module is deployed in an anaerobic zone and an aerobic zone of a biochemical reaction tank, and a cloud edge collaborative data processing module comprises an edge calculation module and a cloud optimization platform. The edge calculation module preprocesses data collected by the multi-mode biosensing module and executes emergency control, the cloud optimization platform operates the multi-target dynamic optimization module and the digital twin model, and the self-adaptive decoupling controller receives control parameters output by the multi-target dynamic optimization module. By deploying the multi-modal biosensing modules in the anaerobic zone and the aerobic zone, the real-time acquisition of biochemical reaction parameters of each zone along the way is realized, and the microbial metabolic activity change in the biological reaction process can be accurately captured in combination with the pretreatment of the edge calculation module and the analysis of the cloud optimization platform.

The invention discloses a precise temperature controller and a dynamic control method thereof.The precise temperature controller comprises a refrigerating unit, a precise temperature control unit and a multi-parameter decoupling controller, and a cooling water outlet of an evaporator in the refrigerating unit, the precise temperature control unit and a cooling water inlet of the evaporator are connected in a circulating mode; the precise temperature control unit comprises an auxiliary water tank, a main water tank, a constant-temperature water tank, an electromagnetic valve, an electric heater, a first temperature sensor, a second temperature sensor, a third temperature sensor, a fourth temperature sensor and a refrigerating unit. The electric heater of the precise temperature control unit, the control end of the electromagnetic valve, the first temperature sensor, the second temperature sensor, the third temperature sensor and the fourth temperature sensor are all connected with the parameter decoupling controller. The Smith predictor and the fuzzy PID are coupled for control, the rotating speed of the compressor and the opening degree of the electronic expansion valve are adjusted and corrected, condensation temperature dynamic optimization and water temperature fine adjustment control are combined, and the method has the advantages of being high in precision, quick in response and high in robustness.

This invention provides a high-precision fatigue testing method for hinges, belonging to the field of hinge fatigue testing technology. This invention utilizes a crack identification and prediction model to output a three-dimensional defect distribution map and a crack initiation risk score, adjusting the stress amplitude accordingly. A multi-channel decoupling controller calculates the coupling coefficient based on the Jacobian matrix and employs an inverse kinematics compensation algorithm to eliminate inter-channel interference when applying combined bending and torsional loads. During the fatigue cycle, adaptive zero-point calibration is performed at intervals. A Kalman filter algorithm is used to predict and compensate for the sensor's zero-point drift, and a temperature compensation coefficient is combined to correct for thermal drift effects. An improved rainflow counting method is used to extract cycle pairs, and the direction of the maximum damage surface is identified using the critical plane method to calculate the cumulative fatigue damage value. When the cumulative fatigue damage value reaches the damage threshold, a crack is identified. This invention solves the problem of insufficient testing accuracy caused by multi-axis load coupling interference during hinge fatigue testing.

The application relates to a high-altitude cabin air intake system fixed-time self-anti-interference temperature and pressure decoupling control method. Step 1: defining a high-altitude cabin air intake system, a self-anti-interference temperature and pressure decoupling control system and a novel fixed-time self-anti-interference controller; step 2: establishing a high-altitude cabin air intake system model; step 3: according to the established system model, a self-anti-interference temperature and pressure decoupling control system is designed to realize decoupling design of temperature and pressure environment parameters of the air intake system. Step 4: a novel fixed-time self-anti-interference decoupling controller is designed for the self-anti-interference temperature and pressure decoupling control system based on the fixed-time theory, and a novel fixed-time self-anti-interference temperature and pressure decoupling control system is obtained. Step 5: the novel fixed-time self-anti-interference temperature and pressure control system generates a control input signal according to system temperature and pressure environment parameter output signals. Step 6: the control input signal is input into the high-altitude cabin air intake system and the system is operated to obtain temperature and pressure environment parameter output signals. Step 7: steps 5-6 are repeated.

The invention discloses an RTP equipment temperature control method and device based on feedforward decoupling. A heating model is obtained based on input and output response data fitting of a heating area of RTP equipment; selecting an element with the maximum lag time in diagonal elements of the heating model as a reference basis, constructing a diagonal target transfer function matrix containing time delay characteristics, and ensuring that the lag time of each diagonal element is not less than the actual physical lag time of a corresponding channel; a feedforward decoupling controller model is solved based on the heating model, a direct control loop matrix and a feedback control loop matrix are obtained through calculation, the direct control loop matrix and the feedback control loop matrix are deployed in a temperature control system, and closed-loop temperature control is conducted on the multiple heating areas of the RTP equipment in combination with a PID controller. According to the method, the advantages of low complexity and quick response of the feedforward decoupling algorithm are combined, the physical realizability problem of the decoupler is solved by introducing the target transfer function matrix, and high-precision multi-region temperature synchronous control is realized.

The invention belongs to the technical field of electronic power, and discloses a fan control method based on a feed-forward compensation decoupling controller and related equipment. The draught fan control method based on the feed-forward compensation decoupling controller comprises the steps that the coupling relation between input and output of all channels in a draught fan control system is confirmed through a relative gain matrix analysis method, a feed-forward compensation decoupler is obtained based on the coupling relation, and the feed-forward compensation decoupler is applied to the draught fan control system. Performing decoupling processing on the input of each channel; the rotating speed of the draught fan can be accurately controlled through decoupling, the noise reduction effect is achieved, and meanwhile the heat dissipation requirement of the whole machine is met.

The invention belongs to the field of electromechanical transmission systems and control, and provides an intelligent electromechanical transmission system and an optimal control method thereof. The intelligent electromechanical transmission system has a first output form, a second output form and a third output form. The method comprises a starting process control method and an operation process control method. According to the operation process control method, engine load rate, direct current bus voltage and motor power constraint are comprehensively considered, and engine target rotating speed is generated; respectively controlling the generator and the motor by using vector control precaution based on rotor field orientation; designing a current inner loop decoupling controller of the asynchronous motor vector control system by applying a basic method of feedback linearization; and tracking the change of the load torque by using an error-based active-disturbance-rejection constant-speed control strategy to realize constant-speed control. The optimal control method is provided mainly for the electromechanical transmission requirement, the working efficiency and stability of the transmission system are improved, and stepless speed change and transmission intelligent control are achieved through electromechanical transmission.

The application belongs to the technical field and discloses a motor current harmonic suppression method and system based on a decoupling controller, wherein d-axis current harmonics and q-axis current harmonics are extracted through an adaptive complex vector decoupling controller; a conventional coupling compensation item is calculated according to an electric angular velocity ω; a delay coupling compensation item is calculated according to a switching frequency; adaptive decoupling gain is dynamically adjusted according to current harmonic tracking error; d-axis compensation voltage is added to d-axis actual voltage, and q-axis compensation voltage is added to q-axis actual voltage, so as to obtain corrected d-axis voltage instruction and q-axis voltage instruction. The application can decouple conventional coupling and sampling delay coupling of current harmonics, can guarantee the effectiveness of decoupling under various working conditions, reduces the influence of current harmonic coupling on compensation voltage accuracy, and thus improves the current harmonic suppression effect.

The present invention belongs to the technical field of fuel cells, and relates to a decoupling method for advance control over an air system of a fuel cell, and a device and a medium. The method comprises: predicting a short-term power of a fuel cell engine by means of a time series prediction algorithm; testing required rotational speeds of an air compressor and required opening degrees of a back pressure valve under different pressures and flow rates; by means of bench testing, acquiring change data of the pressure and flow rate of an air system under a certain range of back pressure valve opening degrees and air compressor rotational speeds; under a data-driven method, identifying a transfer function of the air system, and then designing a corresponding decoupling controller by using a diagonal matrix decoupling method; obtaining a required air compressor rotational speed and a required back pressure valve opening degree from a predicted value of the short-term power by means of a look-up table method; and analyzing a decoupling effect of the air system by means of relative control errors in the pressure and flow rate, and analyzing the fluctuation change condition of an actuator by means of a total variation value of the actuator. The present invention can further improve the stability and system service life of an air system of a fuel cell.

The invention relates to the technical field of mine tunneling, in particular to a function decoupling regulation and control system and method for the hot and humid environment of a deep mine TBM tunneling face. According to the method, multi-source environment parameters are obtained, the hot and humid state and air quality data are generated through fusion processing, and the current hot and humid grade and the oxygen demand are recognized; outputting an environment grade result and an oxygen supply demand signal; and constructing an oxygen supply-cooling-environment coupling thermodynamic model, and estimating the functional coupling degree of the two systems in a future time period in combination with a dynamic prediction method. The self-adaptive decoupling controller is used for dynamically optimizing energy consumption distribution of the oxygen supply and cooling system according to a prediction result, regulation and control parameters are generated, control signals of oxygen supply equipment and cooling equipment are output according to the regulation and control parameters, and dynamic decoupling of the oxygen supply and cooling functions is achieved. The problems of response lag, too high energy consumption and control conflict caused by system coupling in traditional control are solved, and the accuracy, energy efficiency and stability of tunneling face environment regulation and control in the deep high-temperature and high-humidity environment are improved.

The application belongs to the technical field of heat supply control application, and particularly discloses a multi-variable heat supply optimization control system for a desuperheater and pressure reducer set based on load prediction technology, which comprises a desuperheating and pressure reducing control module, a desuperheater and a pressure reducer, the desuperheating and pressure reducing control module is connected with the desuperheater and the pressure reducer, the desuperheating and pressure reducing control module is composed of a target load prediction optimization algorithm unit, a data relay unit, an artificial intervention target meeting input unit, a multi-variable fuzzy decoupling controller and a Kalman filter.The application has the beneficial effect that the system can design a multi-variable dynamic decoupling module according to the mutual coupling relationship between temperature and pressure, eliminate the coupling influence between the temperature regulation loop and the pressure regulation loop, and when the system needs to quickly increase the load, give a larger opening degree instruction to the pressure regulating door and the temperature regulating door, so that the system can quickly increase the pressure while maintaining the temperature stable, and when the system flow is close to the flow set value, switch to the steady-state controller for flow control.

The invention discloses a high-voltage power supply control method for an X-ray tube, and relates to the technical field of power supply control, and the method comprises the steps: disassembling and determining the structures of a voltage loop, a filament loop and a tube flow loop; establishing a mechanism model; calculating a coupling coefficient according to the mechanism model, and establishing an unknown interference model; designing a dynamic decoupling controller and a self-adaptive sliding mode controller; performing simulation and physical verification on the dynamic decoupling controller and the self-adaptive sliding mode controller to obtain optimized control parameters; iterative optimization is carried out on the optimization control parameters to obtain optimal control parameters; and performing high-voltage power supply control on the X-ray tube by using the optimal control parameter. According to the method, various coupling and interference items of the high-voltage power supply in the X-ray tube are disassembled, analyzed and modeled, so that the optimal control parameters obtained through optimization realize stable emission of the high-power end window type X-ray high-voltage power supply system and perfect adaptation with the high-power end window type X-ray.

The present application relates to the technical field of hardware processing, in particular to a stainless steel plate slitting processing device and method. It comprises a feeding mechanism, a composite pressing assembly, a slitting mechanism and a data controller. The data controller comprises a warping trend prediction model, a decoupling controller and a detection module with a plate strip warping detection module and a shear force sensor. The slitting mechanism is electrically connected with the data controller. The warping deformation after slitting is predicted in advance through the warping trend prediction model, and the warping defect is suppressed from the source by combining with the feedforward pre-adjustment, thereby reducing the warping defect occurrence rate. The problems of difficult early suppression of warping defects, lagging dynamic adjustment, strong coupling of parameter adjustment and lack of full-process closed-loop management and control in the prior art are solved, the slitting processing scrap rate is reduced, the slitting size precision, plate flatness and shear section quality are improved, and the quality and quality of the plate slitting are further improved.

The invention discloses a thickness and tension self-adaptive decoupling control method and system in the rolling process, and relates to the technical field of metal rolling automatic control. The method aims at solving the problems that in the rolling process, a strong coupling effect exists between a thickness control system and a tension control system, and a traditional decoupling method is difficult to adapt to dynamic working conditions. The method comprises the steps that real-time working condition parameters in the rolling process are obtained; dynamically determining a decoupling compensation amount through a self-adaptive decoupling controller based on the real-time working condition parameters and a thickness-tension coupling relation model; and carrying out feedforward compensation on a thickness control system and a tension control system by using the decoupling compensation amount. According to the method, by dynamically determining the decoupling compensation amount and conducting feedforward compensation, mutual interference between control loops can be actively and accurately offset, working condition changes are tracked in real time, and the working condition adaptability and robustness of the system are enhanced, so that the thickness control precision and the tension stability are remarkably improved, and the product quality and the production efficiency are improved.

The invention discloses a multi-channel iteration method based on a multi-degree-of-freedom electro-hydraulic servo vibration test stand servo system decoupling method and a storage medium, and belongs to the technical field of electro-hydraulic servo control. In order to solve the problems of multi-degree-of-freedom coupling interference and insufficient waveform reproduction precision of a multi-channel electro-hydraulic servo vibration test stand, an H1 non-parameter identification method is adopted to carry out system identification to obtain a multi-channel transfer function matrix, and then a decoupling controller is designed based on the transfer function matrix to eliminate coupling interference among multiple channels. And finally, through correcting iteration dynamic optimization control input, the purposes of improving the control precision of the multi-degree-of-freedom electro-hydraulic servo vibration table and accurately simulating the structure reaction under the earthquake action are achieved. The test data is accurate and reliable. The invention is suitable for the civil engineering field, the traffic field, the mechanical field and the like.

Disclosed in the present invention is a method for constructing a decoupling controller of a permanent-magnet-assisted bearingless synchronous reluctance electric motor. A decoupling controller formed by an IDBO-FNN dynamic prediction module and an IDBO-FNN system is connected to a composite controlled object, wherein the IDBO-FNN dynamic prediction module is formed by three parallel IDBO-FNN prediction modules, three parallel control increment calculation modules, three parallel prediction value calculation modules and a composite signal calculation module; and the IDBO-FNN system is formed by means of connecting a second-order difference processor and first-order difference processor of a fourth IDBO parameter optimization module before a fourth fuzzy neural network model, each IDBO parameter optimization module using an improved dung beetle optimizer to optimize the membership function width, membership function center value and weight of a fuzzy neural network. The structure of a fuzzy neural network is optimized, such that the degree of dependence of the fuzzy neural network on expert experience is reduced, the convergence speed of the weight and membership function of the fuzzy neural network is improved, high robustness is achieved, and various good static and dynamic performances such as rotor radial position control and electric motor speed control can be obtained.

The invention belongs to the field of afterburning type oxyhydrogen rocket engine control, and provides an anti-saturation and decoupling active disturbance rejection control method for an afterburning type oxyhydrogen rocket engine. The active-disturbance-rejection controller is used for solving the problems that parameter identification of a rocket engine is difficult, the chamber pressure mixing ratio is coupled, and the amplitude of an actuator is saturated. In order to solve the three problems, the method comprises the following steps: firstly, acquiring a control parameter matrix and an unmodeled dynamic state through a system identification method; and secondly, based on an identification result, rapid setting is carried out, an identification result of an unmodeled dynamic state is introduced into a controller, and a decoupling controller is designed. Thirdly, a control signal difference value before and after an actuator amplitude saturation module is introduced into an expansion state observer, and an anti-saturation and decoupling controller is designed; finally, simulation verification is carried out, and the result proves that the method can be rapidly set, and mixing ratio fluctuation caused by coupling during chamber pressure adjustment and chamber pressure and mixing ratio oscillation caused by actuator amplitude saturation are effectively reduced.

The application discloses a heat supply decoupling control method and system based on disturbance suppression, comprising the following steps: establishing a high-dimensional linear model of a heat exchange station system based on Koopman operator theory; calculating a control rate of a Koopman MPC controller output based on the high-dimensional linear model of the heat exchange station system through a model predictive control method; equivalent coupling effect to a disturbance compensation value output by a Koopman state observer based on the high-dimensional linear model of the heat exchange station system; combining the disturbance compensation value with the control rate to obtain a final decoupling control rate, so as to obtain a decoupling controller of a temperature control loop and a flow control loop of the heat exchange station system. The application solves the problems of slow regulation speed, poor regulation effect and large decoupling difficulty caused by the mutual coupling of the temperature and flow regulation of the heat exchange station.

The invention discloses a self-owned momentum target horizontal follow-up system control method and device and electronic equipment. The control method comprises the steps that S1, a crown block and mechanical arm kinematics model is constructed in an off-line mode; s2, an optical motion capture system is adopted to measure the target position in real time, and the horizontal deviation of the target hung by the left and right double-shaft mechanical arms after the rope swings is obtained; s3, an orthogonal displacement measuring device of the magnetic railing ruler is installed on the upper end point of the suspension rope, and horizontal direction deviation speed measurement in the swing process of the suspension rope is continuously achieved; and S4, a follow-up device decoupling controller is designed, a decoupling control method is adopted, and independent control over the crown block and the mechanical arm is achieved according to the optimal parking point and the measured horizontal deviation and horizontal direction deviation speed. According to the invention, the synchronous measurement of the swinging position and speed of the target is realized by fusing the information of the motion capture system and the magnetic railing ruler, the independent control of the crown block and the mechanical arm is realized by adopting a decoupling control method, and the control complexity is reduced.

The application discloses a five-phase permanent magnet synchronous motor harmonic current control method and device based on impedance remodeling, relates to the high-performance driving control technical field of a multi-phase permanent magnet synchronous motor, and comprises the following steps: obtaining motor current, combining system total delay to calculate stability boundary, then selecting optimal virtual impedance, auxiliary attenuation gain parameter combination and current loop control bandwidth by using a Bode diagram, and constructing a current decoupling controller comprising an impedance remodeling channel, a coupling damping compensation channel and a proportional integral regulator; then inputting motor real-time operation information and a given reference current, so that a target reference voltage is obtained to drive the motor to operate. By means of optimal parameter combination, the motor port impedance is equivalently reconstructed, disturbances caused by the nonlinear dead zone of an inverter and the voltage drop of a switching tube are weakened, wide-frequency-domain harmonic current suppression is realized, the impedance remodeling channel, the coupling damping compensation channel and the proportional integral regulator jointly constitute a two-degree-of-freedom control structure, and the dynamic response speed and the anti-disturbance capability are decoupled and independently adjusted.

The present disclosure relates to a control device (20) configured for grid- forming control using a voltage source converter, VSC, (10) electrically connected to a power grid (40) via a point-of-common-coupling, PCC, the control device (20) comprising: a decoupling controller (21) configured to determine a VSC virtual electromotive force (vEMF) of said VSC (10) based at least on a first complex signal (K; γ, δ), which first complex signal (K; γ, δ) is based at least on a complex power (Sg; Pg, Qg) being exchanged between said VSC (10) and the power grid (40), and a complex power reference (Sref, Pref, Qref) for said complex power (Sg; Pg, Qg), and a current controller (22) configured to determine a VSC voltage reference (vc,ref) for said VSC (10) based at least on a grid voltage (vg) for said power grid (40) at said PCC, and a current reference (if,ref) for a current (if) propagating between said VSC (10) and said PCC, a virtual admittance unit (24) configured to determine said current reference (if,ref) based at least on a voltage input (vin) multiplied with a virtual admittance (Yv), wherein said voltage input (vin) is based at least on a voltage difference between said VSC virtual electromotive force (vEMF) and said grid voltage (vg), and said virtual admittance (Yv) is based at least on a virtual impedance between the VSC virtual electromotive force (vEMF) and said PCC, wherein the control device (20) is configured to provide said VSC voltage reference (vc,ref) to said VSC (10), and wherein said decoupling controller (21) comprises a phase compensation unit (211) configured to apply a phase compensation to said first complex signal (K; γ, δ), which phase compensation is selected to compensate for a phase-shift introduced by said virtual impedance. A method of grid-forming control and a power supporting system is also disclosed.

The invention discloses a diesel engine air system control method and device, electronic equipment and an automobile, and relates to the technical field of automobiles. According to the scheme, the method comprises the steps that an estimation disturbance matrix is obtained based on a state observer, and a hybrid model built based on a mechanism model and a radial neural network prediction model is obtained; the input of the hybrid model is target data in the engine operation process and the estimated disturbance matrix, and the output of the hybrid model is predicted TVA opening, predicted VGT opening, predicted EGR opening, predicted intake manifold pressure, predicted exhaust pressure and predicted EGR rate. And a decoupling controller is adopted to determine a control sequence in the prediction domain based on an output result of the air system hybrid model and the estimation disturbance matrix. According to the scheme, the mechanism model, the neural network compensation model and the disturbance observer are fused, a known mechanism and an unknown mechanism are predicted at the same time, rolling optimization and feedback correction are completed at the same time, decoupling control over a complex air system is achieved, and the overall performance of an engine is guaranteed.

The application discloses a multi-channel iteration method based on a multi-degree-of-freedom electro-hydraulic servo vibration test bench servo system decoupling method and a storage medium, and belongs to the technical field of electro-hydraulic servo control. In order to solve the problems of multi-degree-of-freedom coupling interference and insufficient waveform reproduction accuracy of a multi-channel electro-hydraulic servo vibration test bench, the application adopts an H1 non-parametric identification method to perform system identification to obtain a multi-channel transfer function matrix, and then designs a decoupling controller based on the transfer function matrix to eliminate the coupling interference between the multi-channels; finally, the control input is dynamically optimized through correction iteration, so that the purpose of improving the control accuracy of the multi-degree-of-freedom electro-hydraulic servo vibration table and accurately simulating the structural response under the action of an earthquake is achieved. The test data of the application is accurate and reliable. The application is suitable for the fields of civil engineering, traffic and machinery.

The application discloses a five-phase permanent magnet synchronous motor harmonic current control method and device based on impedance remodeling, relates to the high-performance driving control technical field of a multi-phase permanent magnet synchronous motor, and comprises the following steps: obtaining motor current, combining system total delay to calculate stability boundary, then selecting optimal virtual impedance, auxiliary attenuation gain parameter combination and current loop control bandwidth by using a Bode diagram, and constructing a current decoupling controller comprising an impedance remodeling channel, a coupling damping compensation channel and a proportional integral regulator; then inputting motor real-time operation information and a given reference current, so that a target reference voltage is obtained to drive the motor to operate. By means of optimal parameter combination, the motor port impedance is equivalently reconstructed, disturbances caused by the nonlinear dead zone of an inverter and the voltage drop of a switching tube are weakened, wide-frequency-domain harmonic current suppression is realized, the impedance remodeling channel, the coupling damping compensation channel and the proportional integral regulator jointly constitute a two-degree-of-freedom control structure, and the dynamic response speed and the anti-disturbance capability are decoupled and independently adjusted.

The present application relates to a kind of energy storage converter grid-connected method based on virtual synchronous generator control, compared with prior art, response ability of the defect in the prior art energy storage converter grid-connected control technology is weak, power control precision and stability are insufficient, controller robustness is poor.The present application includes the following steps: design the adaptive rule of virtual inertia and damping coefficient in VSG controller active loop;Adaptive adjustment is carried out;Design the VSG power decoupling controller based on super-local model cooperative control;Power smooth following and the effective decoupling control of active power and reactive power.The present application provides a kind of energy storage grid-connected converter operating process has the inertia and damping characteristics of synchronous generator, when grid-connected active power or grid-connected frequency disturbance occurs, frequency fluctuation can be inhibited by the adaptive adjustment of virtual inertia and damping coefficient, and has good power decoupling control ability.

The application discloses a flywheel energy storage hybrid magnetic bearing LM neural network inverse decoupling controller, output ends of two dynamic prediction modules are connected in series with input ends of LM neural network inverse systems, the first dynamic prediction module is composed of two series branches, the second dynamic prediction module is composed of three series branches and a composite signal calculation module, each series branch is composed of a feedback correction module, a control increment calculation module, a prediction value calculation module and an optimal value calculation module in series, input of the first series branch is weight and reference weight, output is optimal initial weight, input of the second series branch is threshold and reference threshold, output is optimal initial threshold, combining respective advantages of dynamic prediction, LM neural network control and inverse system, initial weight and threshold of the LM neural network are optimized by the dynamic prediction module, independent and accurate control among three degrees of freedom of the flywheel energy storage hybrid magnetic bearing is realized.

The application discloses a kind of six-phase motor open-loop fault-tolerant control method suitable for low carrier ratio condition, belongs to motor fault-tolerant control field, and the present application is to solve the problem of single-phase open-loop fault-tolerant control method of existing six-phase motor in low carrier ratio condition Control performance deterioration, poor stability problem.The application includes: configuration fault-tolerant coordinate transformation matrix, the mathematical model of mutual inductance coupling in natural coordinate system is transformed into the mathematical model without mutual inductance coupling in synchronous rotating coordinate system, and the spatial voltage equation of mutual decoupling and linear independence is obtained;By coordinate positive transformation, fault-tolerant phase current is transformed into two spatial current components;Discrete second-order rotating decoupling controller is set in two spaces respectively, and voltage control quantity is generated;The motor is driven by phase voltage through coordinate inverse transformation.The application configures fault-tolerant current loop as discrete second-order system, and the distribution of closed-loop pole does not change with the reduction of carrier ratio, so that fault-tolerant control has good stability in low carrier ratio condition.

The invention discloses a stainless steel degreasing section drying temperature and humidity feedback type automatic control system and method. The system comprises a temperature and humidity sensor array, a fuzzy decoupling controller, an LSTM prediction module, a distributed heating unit and a bionic honeycomb structure protective cover. Real-time data are collected through a temperature and humidity sensor array; performing fuzzy decoupling operation based on a temperature-humidity incidence matrix to generate an independent control quantity: calling an LSTM model to predict six groups of historical sequences, and outputting temperature and humidity changes in future 30 seconds; and dynamically adjusting a PID setting curve according to a prediction result, and controlling the power of the heating unit. Through cooperative work of the distributed sensor array, the fuzzy decoupling controller and the LSTM prediction module, accurate decoupling control and advanced prediction of temperature and humidity are achieved, the problem of limitation of traditional PID control in a nonlinear system is solved, and the system has the advantages of being high in control precision, high in response speed and stable and reliable in a high-temperature environment.

The invention belongs to the technical field of monitoring and automatic control, and discloses a distributed monitoring and automatic response control system of network security equipment. Through data acquisition, deviation analysis, function modeling and coupling analysis, an interaction mechanism between safety equipment is accurately identified; equipment is divided into a strong coupling group and a weak coupling group based on controllability analysis, and a decoupling controller and a decentralized controller are applied respectively; a fusion control strategy based on the coupling influence quantity is adopted for boundary equipment, and overall coordination and smooth transition of the system are ensured. According to the invention, intelligent resource allocation and dynamic balance maintenance of a protection link are realized, so that the safety equipment keeps stable performance output in a high-voltage environment, and the protection quality in a traditional architecture is prevented from declining in a cliff manner. By establishing a complete control closed loop and continuously optimizing control parameters, the overall toughness and adaptive capacity of a safety protection system are improved, and the operation and maintenance burden of a safety team is relieved.