49 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.

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 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.

The invention provides a control method and device for hydraulic working condition decoupling of a water mixing heat exchange system, temperature, pressure and flow data of cold and hot fluids in the water mixing heat exchange system are collected in real time through a sensor module, and after a control unit receives the data of the sensor module, the temperature, the pressure and the flow data of the cold and hot fluids in the water mixing heat exchange system are controlled by running a preset control algorithm program. The optimal water mixing proportion is calculated and transmitted to the decoupling controller according to an instruction of the control unit, the opening degree of the electric adjusting valve is adjusted so as to change the mixing proportion of cold water and hot water and ensure that the system outputs stable temperature, and the executing mechanism adjusts the rotating speed of the water pump and opening and closing of the air door according to needs so as to meet the operation requirement of the system and maintain overall hydraulic balance. The problems that an existing water mixing heat exchange system is insufficient in stability, high in energy consumption, difficult to control the outlet water temperature accurately and the like in the aspect of the hydraulic working condition are solved, accurate decoupling control over the hydraulic working condition of the water mixing heat exchange system is achieved, and therefore the system performance is improved, the energy consumption is reduced, and stable output of the outlet water temperature is ensured.

The invention provides a hydraulic working condition decoupling and water pump cooperative control device and method for a water mixing heat exchange system. The hydraulic working condition decoupling and water pump cooperative control device comprises a sensor assembly, an electric control valve, a water pump, a hydraulic working condition decoupling controller and a water pump controller. The output end of the water pump controller is connected with the water pump, the input end of the water pump operation controller is connected with the output end of the hydraulic working condition decoupling controller, the input end of the hydraulic working condition decoupling controller is connected with the sensor assembly, and the output end of the hydraulic working condition decoupling controller is in communication connection with the electric adjusting valve. By monitoring system load and energy consumption data in real time and intelligently adjusting the rotating speed of the water pump, maximum utilization of energy is achieved, the system can enter an energy-saving mode on the premise that the operation requirement of the system is met, and energy consumption of the water pump and equipment is reduced; through an intelligent control algorithm, the system can realize automatic operation, the dependence on operators is reduced, and the problems of unstable hydraulic working condition, low energy efficiency, complex operation and the like in an existing water mixing heat exchange system are solved.

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 invention provides an optimal power capturing method for a wave energy device in a floating wind-light wave platform. The method comprises the following steps: step 1, establishing an actual system equation considering external disturbance; 2, designing a sliding mode surface and an approaching law by using sliding mode control; 3, solving the control quantity of the nominal system, and obtaining the control quantity of the actual system through auxiliary control input correction; step 4, obtaining an optimal control quantity capable of effectively stabilizing bus voltage fluctuation; and step 5, inputting the optimal control quantity and the actual value into a proportional integral differential controller, decoupling through a decoupling controller, obtaining a switching signal by using a space vector pulse width modulation algorithm, and performing tracking control. According to the method, it can be guaranteed that the wave energy device is always in the maximum power capturing state in the unknown disturbance caused by a draught fan and the complex marine environment.

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 discloses a speed raising control method of an electronic shaft gravure press color register control system, which comprises the following steps of: carrying out an electronic shaft gravure press open-loop speed raising experiment, collecting color register error data of each color group in a speed raising process, and establishing a speed raising disturbance model according to the color register error data of each color group and a mathematical model of color register errors and synchronous speed; according to the speed raising disturbance model, a color register feedforward controller is designed, and color register errors caused by speed raising disturbance are counteracted; designing a color register feedback controller according to a given amplitude margin and a mathematical model of the color register error and the synchronous speed of the monochromatic group; according to the coupling model between the color cells, a chromatography decoupling controller is designed, and the influence of output of other color cell feedforward controllers and feedback controllers on the chromatography error of the current color cell is relieved; and in the speed increasing process, the output of the feedforward controller, the output of the feedback controller and the output of the decoupling controller are superposed on a synchronous speed instruction to serve as a speed instruction of an execution motor, the running speed of the printing roller is adjusted, and the color register error precision is guaranteed.

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 invention discloses a finite-time anti-interference control method and system for a doubly-fed wind generator direct-current grid-connected system. The finite-time anti-interference control method comprises the following steps: S1, constructing a direct rotating speed loop system model of a double-converter doubly-fed wind generator; s2, setting four concentrated disturbance terms based on the direct rotating speed loop system model of the double-converter doubly-fed wind generator; s3, constructing a finite time disturbance observer based on a super-distortion algorithm to observe the four concentrated disturbance items, and proving the convergence of the observer; and S4, performing real-time interference compensation on a disturbance estimation result while realizing tracking error finite time convergence by adopting an integral terminal sliding mode controller, thereby realizing finite time anti-interference control on the double-converter doubly-fed wind driven generator. Finally, through simulation and experiment verification, compared with a robust decoupling controller based on a disturbance observer, the method has more advantages in the aspects of suppressing buffeting and resisting various interferences.

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.

A design method of a data-driven iterative learning controller for a fuel cell thermal management system, belonging to the field of on-vehicle fuel cell engine control technology. The purpose of the present invention is to use a data-driven iterative learning control scheme to design a stack temperature decoupling controller, which can avoid modeling the complex thermal management system and is an easy-to-implement-in-engineering design method of a data-driven iterative learning controller for a fuel cell thermal management system. The steps of the present invention include: a fuel cell thermal management system model, an iterative-domain dynamic linearization data model, an iterative-domain extended state observer, and a model-free adaptive iterative learning controller. The control scheme proposed by the present invention can avoid modeling the complex thermal management system and is easy to implement in engineering. The simulation results show the effectiveness of the designed controller.

A feedforward decoupling variable damping robot joint compliant drive control method relates to a robot joint drive control method, which includes calculating the target quadrature axis current I according to the set damping coefficient B and stiffness coefficient K under the control system framework of the current loop impedance. q_target ; Sample the three-phase current of the motor and transform it to obtain the direct-axis current Id and the quadrature-axis current Iq; calculate the direct-axis current I d , quadrature axis current I q and the direct-axis current target value I d_target and the target value of the quadrature axis current I q_target The error; the quadrature axis and direct axis voltages are corrected by the feedforward decoupling controller; the space voltage vector U is calculated out and space voltage vector U out The corresponding electrical angle θ out The system calculates the action time of each vector within the sector and the duty cycle of each channel of the three-channel center-aligned complementary PWM. This is then used to drive the MOS switches in the motor via a three-phase inverter circuit. This achieves efficient, real-time impedance control, improving the robot's dynamic performance while maintaining compliance.

The invention discloses a heat supply decoupling control method and system based on disturbance suppression. The method comprises the steps that a high-dimensional linear model of a heat exchange station system based on the Koopman operator theory is established; based on the high-dimensional linear model of the heat exchange station system, the control rate output by a Koopman MPC controller is calculated through a model prediction control method; based on the high-dimensional linear model of the heat exchange station system, the coupling effect is equivalent to a disturbance compensation value output by a Koopman state observer; and 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 problems of low regulation and control speed, poor regulation and control effect and high decoupling difficulty caused by mutual coupling of temperature and flow regulation and control of the heat exchange station are solved.

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.

The invention discloses a decoupling controller for a PWM rectifier system of a bearingless permanent magnet synchronous generator, comprising three internal model controllers, a particle swarm algorithm optimization module and a least squares support vector machine. The optimal kernel function parameters and penalty factors output by the particle swarm algorithm optimization module are used as the first and second inputs of the least squares support vector machine, and the voltage U output by the rectangular window algorithm module is used as the first input and the second input of the least squares support vector machine. DC , U DC The eight training samples, namely the first-order derivative, horizontal radial displacement x, the first-order derivative of x, the second-order derivative of x, the vertical radial displacement y, the first-order derivative of y and the second-order derivative of y, are used as the third to tenth inputs of the least squares support vector machine. The kernel function, symmetric positive definite matrix, parameter matrix, bias and Lagrange multiplier matrix are obtained based on the optimal kernel function parameters. The particle swarm algorithm is used to select the kernel function parameters and penalty factor, and the adaptive inertia weight and dynamic learning factor are introduced to improve the particle swarm algorithm.

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 present invention discloses a design method of a sliding mode decoupling controller for a single-inductor dual-output Buck converter based on ESO. The main circuit ESO is used to estimate the load disturbance and compensate it to a backstepping sliding mode controller BSMC. ​​The improved reaching law is combined to optimize the chattering problem and anti-disturbance capability of the sliding mode, so as to reduce the influence of branch a on the load mutation between branches. Meanwhile, a sliding mode self-disturbance rejection controller SM-ADRC is used to independently control branch b, so as to eliminate the total disturbance composed of branch coupling terms and internal and external interferences in the branch b model, and further reduce the cross-influence of branch b disturbance on branch a.

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.