29results about How to "Simplify the solution process" patented technology

The invention relates to the technical field of airport wireless communication, in particular to a 5G AeroMACS base station communication and positioning integrated method, which comprises the following steps: establishing an airport scene communication and navigation integrated system comprising a 5G AeroMACS multi-antenna base station, a plurality of single-antenna communication terminals and a plurality of mobile terminals to be positioned; acquiring a sensing positioning parameter estimator of the to-be-positioned mobile terminal according to the echo signal; obtaining an estimation error lower bound of the sensing positioning parameter based on the sensing positioning parameter estimator; based on the channel characteristics of communication between the 5G AeroMACS multi-antenna base station and the single-antenna communication terminal, minimizing and optimizing the lower bound of the estimation error to obtain an optimal beam forming parameter; and controlling the 5G AeroMACS multi-antenna base station to send a signal by adopting the optimal beam forming parameter so as to complete communication and positioning between the 5G AeroMACS multi-antenna base station and the terminal. According to the invention, high-precision real-time navigation and efficient communication of the high-dynamic terminal on the airport scene can be realized.

The invention discloses a coordinated scheduling method and device for a mixed hydrogen-electricity combined system, and electronic equipment, and belongs to the technical field of electrical engineering, and the method comprises the steps: reconstructing a dynamic response process model of a hydrogen-mixed natural gas network into a linearization matrix adaptive to optimal scheduling; the response conditions of an electric power system and a natural gas system under the action of various flexible resources such as an electric hydrogen production device, a hydrogen-doped gas turbine and pipeline gas storage after a disturbance event can be accurately reflected; taking the linearization matrix as a hydrogen-mixed natural gas network security constraint, and constructing a double-layer optimization model considering different benefit subjects in the joint system; reconstructing the double-layer optimization model into a single-layer optimization problem and solving the single-layer optimization problem to realize scheduling; coordinated operation of an electric power system operator and a natural gas system operator is guided through two price signals, excitation compatibility and high dispatching efficiency are achieved on the economic benefit level, wind and light abandoning is reduced on the operation safety level, power load supply is guaranteed, and meanwhile gas network blocking is relieved.

The invention provides an iterative least square artificial magnetic field positioning method and device not affected by attitudes, belongs to the field of indoor positioning, and aims to solve the problem of complexity increase caused by carrier attitudes, adopts an artificial magnetic field positioning observation equation establishment method not affected by attitudes, avoids introduction of unknown quantity of attitudes in a mode of solving a model according to frequency, and improves the positioning accuracy. Establishing a simplified observation equation based on a magnetic induction intensity module value so as to reduce the number of nonlinear unknown quantities of an equation set and play a role in reducing a search space and the number of local optimal solutions for a subsequent optimization solution thought; aiming at a nonlinear equation solving problem in a position solving process, an algorithm for carrying out positioning inversion solution according to iterative least square is given, linear expansion is continuously carried out at an iteration point by taking a model of a difference between a minimum state quantity and a real-time observed quantity as a target, and iterative calculation is carried out by utilizing the least square. According to the method, global optimal and high-convergence-speed high-precision position solving is realized.

The embodiment of the invention provides an image reconstruction method and device, computer equipment and a readable storage medium. The method comprises the following steps: acquiring a measurement matrix and an observation vector of a to-be-reconstructed image; dividing the measurement matrix into a cascade orthogonal matrix composed of a plurality of sub-matrixes, and dividing the observation vector according to the plurality of sub-matrixes to obtain a plurality of corresponding sub-distribution vectors; based on each sub-matrix and a plurality of sub-initial solutions corresponding to each sub-distribution vector, performing fusion to obtain a first initial solution corresponding to the to-be-reconstructed image; obtaining a first image sparseness estimated value of the first initial solution, and determining a first non-significant index set in the first initial solution based on the first image sparseness estimated value; and constructing a first constraint model based on the first non-significant index set, the measurement matrix and the observation vector, and performing minimum difference solution on the first constraint model to obtain a reconstruction result of the to-be-reconstructed image. Therefore, the efficiency and the accuracy of image reconstruction can be improved.

The invention discloses a method for improving the solving speed of a rotating sphere non-singularity electromagnetic scattering field, and belongs to the field of electromagnetic engineering. Aiming at the electromagnetic scattering problem of a rotating structural body in the field of practical engineering, the invention provides a method for improving the non-singularity electromagnetic scattering field solving speed of a rotating body, and effective analysis of the rotating body is realized based on a moment method. A rotating structure body has important application value in electromagnetic radiation and scattering research due to geometric symmetry, but under the condition of long wavelength, a traditional surface integration method often has the problem of singularity, and numerical stability and precision are affected. Therefore, a method for effectively eliminating singular integrality and converting a dense matrix needing to be solved into a sparse matrix is designed, the calculation efficiency is remarkably improved, and the memory consumption is reduced. A non-singularity surface integral equation is obtained through derivation, simulation and numerical simulation are carried out through a specific electromagnetic rotating body device model, an efficient numerical solution is provided for the electromagnetic scattering problem, and the method has wide engineering application prospects.

The invention relates to an electric heating integrated energy system optimization planning method and device considering seasonal heat storage and a medium, and the method comprises the following steps: constructing a seasonal heat storage model based on a heat charging and discharging state and an internal thermal power state, the internal thermal power state comprising a weekly state and an intra-period state, and being obtained through the prediction of a deep neural network; based on the seasonal heat storage model, an electric heating integrated energy system coordinated planning model is built, and the electric heating integrated energy system coordinated planning model takes the sum of minimum annual investment cost and operation cost as a target function and builds constraint conditions based on investment constraints and operation constraints; and carrying out hybrid linear transformation on the electric heating integrated energy system coordinated planning model by adopting a large m method, and solving to obtain an optimal planning scheme of the electric heating integrated energy system. Compared with the prior art, the method has the advantages that the electric heating comprehensive energy system can be accurately modeled, the nonlinear optimization problem of a traditional physical modeling method is solved, and scientific and efficient energy planning is achieved.

The technical field of airport wireless communication specifically relates to a 5G AeroMACS base station communication and positioning integration method, comprising: establishing an airport scene communication and navigation integration system, including a 5G AeroMACS multi-antenna base station, a plurality of single-antenna communication terminals and a plurality of mobile terminals to be positioned; obtaining a perception positioning parameter estimation amount of the mobile terminal to be positioned according to an echo signal; obtaining an estimation error lower bound of the perception positioning parameter based on the perception positioning parameter estimation amount; minimizing and optimizing the estimation error lower bound based on the channel characteristics of the communication between the 5G AeroMACS multi-antenna base station and the single-antenna communication terminal to obtain an optimal beamforming parameter; using the optimal beamforming parameter to control the 5G AeroMACS multi-antenna base station to send a signal, and completing the communication and positioning between the 5G AeroMACS multi-antenna base station and the terminal; the present invention can realize high-precision real-time navigation and efficient communication of high-dynamic terminals on the airport scene.

The invention discloses an elliptical reference orbit plane circle satellite formation configuration design method. The method comprises the steps of S1, selecting the orbit number of plane circle formation reference satellites; s2, selecting an elliptical orbit reference satellite RIC coordinate system; s3, establishing a relative kinetic equation of the elliptical reference orbit satellite formation flight; s4, establishing a periodic solution of the linear relative kinetic equation of the elliptic reference orbit; s5, giving out constraint conditions of the elliptical orbit plane circle formation configuration; s6, designing plane circle formation parameters; s7, calculating a relative position speed parameter of the accompanying satellite at the initial moment in the RIC coordinate system of the reference satellite; s8, calculating position and speed parameters of the accompanying satellite in the geocentric inertial coordinate system at the initial moment; and S9, calculating the orbital elements accompanying the initial moment of the satellite, and completing the design of the plane circle formation satellite configuration.

The present invention relates to a mechanical arm and a control method therefor. The mechanical arm comprises a spatial positioning mechanism, a planar motion mechanism, and a self-rotating joint that connects the spatial positioning mechanism and the planar motion mechanism, wherein the space positioning mechanism comprises a base and a joint mechanism, the joint mechanism comprises a plurality of joints which are installed in sequence, the joint at the head end of the joint mechanism is installed on the base, and the joint at the tail end of the joint mechanism is rotatably connected to the self-rotating joint; the tail end of the planar motion mechanism is connected to a surgical instrument, and a vertical line of the plane where the planar motion mechanism is located is perpendicular to the rotation axis of the self-rotating joint; the intersection between the rotation axis of the self-rotating joint section and the axis of the surgical instrument is a driving fixed point, so as to conveniently set the driving fixed point; the rotation of the surgical instrument around the driving fixed point does not require the spatial positioning mechanism to move, such that the occurrence of multi-arm collision is reduced; and the infinity solution of the same posture of the surgical instrument can be realized by means of the linkage of the spatial positioning mechanism, the planar motion mechanism and the self-rotating joint, such that the kinematics solution is simple.

The invention provides a container terminal discrete berth and quay crane distribution method and device, and the method comprises the steps: constructing a first mixed integer programming model based on a first problem of discrete berth and time-varying quay crane distribution, and constructing a second mixed integer programming model based on a second problem of discrete berth and time-varying quay crane distribution. Constructing a second mixed integer programming model; based on the priority relation between the ships, reexpressing the first problem and converting the first problem into a third problem of project scheduling based on resource limitation, and converting the first mixed integer programming model into a third mixed integer programming model; solving the third mixed integer programming model according to a branch and cut algorithm to obtain a first solving result; solving a second mixed integer programming model according to the first solving result and a two-stage heuristic algorithm to obtain a second solving result; and outputting the first solving result and the second solving result. The method makes up the defect of incomplete distribution of berths and quay cranes at present, and is beneficial to improving the solving efficiency at the same time.

The invention relates to the technical field of image processing, in particular to a foreground and background separation method based on weighted F norm robust principal component analysis, which comprises the following steps: acquiring a video to be processed, and reconstructing the video into a two-dimensional matrix; a weighted least square method and low-rank matrix decomposition are combined, and a video foreground and background separation model based on robust principal component analysis is constructed; the two-dimensional matrix is input into the video foreground and background separation model, an alternating minimization method is adopted for solving, two low-rank matrixes U and V and a sparse matrix S are obtained, the result obtained by multiplying the two low-rank matrixes U and V serves as the background of the video to be processed, and the sparse matrix S serves as the foreground of the video to be processed. The method is simple in solving process and has higher accuracy and robustness.

The invention discloses a vibration process control method of a random vibration system, belongs to the technical field of vibration control of the random vibration system, and solves the problems that in the prior art, a system effective working probability solving mode comprehensively considering randomness and uncertain influences in a random vibration environment is lacked, and vibration process control is achieved based on a solving result. The method comprises the following steps: respectively experimenting random vibration processes of a random vibration system under different working conditions, respectively processing experiment data under each working condition, and obtaining a corresponding relation among a vibration initial state under each working condition, each experiment time and a value of an effective working probability of the system to construct a sample set; training and testing the sample set to obtain a neural network model; when the actual vibration process of the random vibration system is controlled, the neural network model is utilized to predict a curve that the system effective working probability of the random vibration system changes along with the sampling time under different working conditions, and the actual vibration process of the random vibration system is controlled according to the curve.

The distributed active fault-tolerant control method of four-wheel steer-by-wire system relates to the field of four-wheel steer-by-wire system control of automobile, which determines the ideal automobile yaw angular velocity and mass center side slip angle of four wheels through a reference model; determines the real-time yaw angular velocity and mass center side slip angle of four wheels through a four-wheel yaw angular velocity and mass center side slip angle calculation module; determines the weighted adjacent matrix, degree matrix and Laplace matrix of four wheels through a four-wheel intelligent agent information exchange topological structure module; solves out the four-wheel steering angle of automobile under the condition of known / unknown actuator fault through a distributed active fault-tolerant control module of four-wheel steer-by-wire system; realizes the yaw stability control of automobile through a CarSim automobile model, and outputs the real-time motion state information of automobile. The application effectively balances the calculation efficiency and vehicle stability performance, and improves the safety and stability of four-wheel steer-by-wire system under the condition of actuator gain variation fault, constant deviation fault and stuck fault.

The application discloses a kind of configuration optimization method, device and system of integrated hydrogen production system, belong to hydrogen production technical field, the integrated hydrogen production system configuration optimization method provided by the present application, the two-stage configuration model of integrated hydrogen production system considering the uncertainty of photovoltaic output and biomass water content is established, the objective function is set as the minimization of investment cost and the operating cost of the worst scenario corresponding to the uncertainty set;Solve the above two-stage configuration model to obtain the optimized configuration scheme, thereby improving the robustness of configuration to ensure smooth hydrogen production.The scheme can ensure smooth hydrogen supply while meeting the system carbon emission requirements under photovoltaic, biomass access, reduce system component investment.In addition, the technical parameters involved therein relate to hydrogen production components and energy storage components, and the key parameters affecting the configuration results of system hydrogen production and energy storage can be subjected to sensitivity analysis.

The invention provides a parachute image scale factor solving method. The scale factor is the ratio of the actual size of the parachute structure to the size of the parachute structure in the image. The method comprises the following steps: firstly, selecting a canopy top hole as a reference object, extracting the outer contour of the canopy top hole by using a sub-pixel edge detection technology, counting the number of pixel points occupied by the outer contour, and solving to obtain a scale factor corresponding to a top hole plane; then, establishing an image coordinate system and a camera coordinate system in a parachute system, and solving according to a camera imaging model to obtain a relationship between scale factors corresponding to different canopy sections; finally, a canopy deformation theoretical model in the parachute unfolding process is established, the optical distances from different sections of the canopy to the camera are obtained, and therefore scale factors corresponding to key planes such as the maximum projection section of the canopy are obtained through calculation. According to the method, the parachute image scale factor solving efficiency and precision are improved, and a foundation is laid for high-precision parameter identification of the parachute image shot by the monocular camera.

The present invention discloses a shale oil three-dimensional fracturing well network post-pressure backflow production optimization design method, which belongs to the field of oil and gas field development technology, and includes the following steps: step 1, sorting out the basic parameters of shale oil reservoirs; step 2, establishing a mathematical model of the backflow production process of the fracturing horizontal wells in the shale oil reservoir; step 3, solving the mathematical model of the backflow production process of the fracturing horizontal wells in the shale oil reservoir based on the Newton-Raphson method; step 4, analyzing the dynamic nodes of the reservoir-wellbore-nozzle flow system; step 5, optimizing the nozzle working system based on the genetic algorithm; step 6, designing a three-dimensional fracturing well network backflow production plan for the shale oil reservoir. The present invention can realize the simulation of the backflow production process and the optimization of the production plan of the three-dimensional fracturing well network in the shale oil reservoir, and provide theoretical guidance and technical support for the three-dimensional development of shale oil reservoirs.

The invention provides an airborne radar optical multi-load multi-constraint task planning and cooperative scheduling method, which identifies complex constraint conditions of a single sensor and multiple sensors, establishes a resource scheduling evaluation index, designs an optimization algorithm for problem characteristics, and solves the problem of multi-sensor cooperative detection task planning under airborne complex multi-constraint conditions. According to the method, radar load detection task planning, infrared optical load detection task planning, visible light load detection task planning and radar and optical multi-type load cooperative detection task planning can be realized.

The invention discloses a gas bearing rotor system and a dynamic performance simulation analysis method thereof.The gas bearing rotor system comprises a shell and a rotor rotatably arranged in the shell, the rotor is rotatably supported in the shell through a dynamic pressure radial bearing, the two ends of the rotor extend outwards from an end cover and the shell respectively, and a driving mechanism is connected to the end of the rotor; the dynamic pressure radial bearing is used for providing radial bearing force for the rotor, a thrust plate is fixedly arranged on the rotor, axial thrust bearings are arranged on the two sides of the thrust plate respectively, and the axial thrust bearings are used for providing axial bearing force for the rotor. Compared with a numerical calculation method, the simulation analysis method has the advantages that a fluid domain and solid domain separation solution and bidirectional coupling method is adopted, the influence of solid structure deformation is fully considered, and the requirements for mathematical calculation and programming ability of designers are reduced.

The invention provides a device with energy collection and variable-load low-frequency vibration isolation functions. Comprising a vibration isolation platform (1), a vibration isolation base (2), a central force bearing mechanism (3), a negative stiffness mechanism (4) and a piezoelectric plate (5), the vibration isolation platform (1) and the vibration isolation base (2) are arranged in parallel, and the center force bearing mechanism (3) is a telescopic mechanism capable of stretching out and drawing back in the vertical direction of the vibration isolation platform (1), installed between the vibration isolation platform (1) and the vibration isolation base (2) and used for providing vertical positive rigidity and supporting the weight of a vibration isolation object. The negative stiffness mechanism (4) is arranged beside the center force bearing mechanism (3) and used for providing negative stiffness parallel to the direction of the vibration isolation platform (1). The piezoelectric plate (5) is attached to the negative stiffness mechanism (4) and used for generating tension and compression deformation along with bending vibration of the negative stiffness mechanism (4) in the vibration process, and finally mechanical energy is converted into electric energy through the positive piezoelectric effect. The structure has the advantages of being large in bearing capacity, high in load adaptability, compact in structure, easy to manufacture, easy to implement and the like.

The application belongs to the technical field of spectral image, and discloses a convolution sparse coding compressive sensing spectral reconstruction method and system, which comprises the following steps: step S1, constructing a reconstruction equation based on convolution sparse representation by using an observation image output by a spectral acquisition system and an observation matrix of the spectral acquisition system; step S2, performing low-frequency solving on the image based on the reconstruction equation to obtain preliminary three-dimensional spectral data; step S3, performing constraint solving on a high-frequency part of the image based on the preliminary three-dimensional spectral data to obtain sparse coefficients of a convolution kernel at an Lth waveband; step S4, performing convolution summation on the sparse coefficients and the convolution kernel to obtain three-dimensional spectral data; and step S5, outputting the three-dimensional spectral data meeting a condition to obtain reconstructed spectra. The generalization, accuracy and timeliness of the reconstructed image are all good.

The application relates to a traffic flow basic map drawing method and device based on ship displacement and a medium. After initial data is acquired and preprocessed, ship feature data is extracted, the ship displacement is calculated, and the driving distance and time of different ships are corrected; based on the driving distance of different ships and the corresponding ship displacement in a selected period, the ship traffic flow rate in a full space-time region is calculated; based on the driving time of different ships and the corresponding ship displacement in a selected voyage section, the ship traffic flow density in the full space-time region is calculated; based on the ship traffic flow rate and the ship traffic flow density, the ship traffic flow speed is calculated; based on the ship traffic flow rate, the density and the speed, the ship traffic flow basic map is drawn; and the full space-time region is determined by the selected period and the selected voyage section. Compared with the prior art, the application has the advantages of improving the accuracy of key parameters of ship traffic flow, the authenticity of the traffic flow basic map and the like.

The invention provides a recharge pressure detection method of a geothermal exploitation system and related equipment. The method comprises the following steps: establishing a mathematical model of a pumping and recharging system; determining a first control equation, a first initial condition and a first boundary condition based on the mathematical model; performing Laplace transformation on the first control equation, the first initial condition and the first boundary condition to obtain a second control equation, a second initial condition and a second boundary condition; further, obtaining a drawdown analytic solution of the recharge well on the Laplacian domain; and converting the drawdown analytic solution of the recharge well on the Laplace domain into a pressure analytic solution of the recharge well on the Laplace domain, and obtaining a pressure analytic solution of the recharge well on the time domain according to a numerical inversion method of Laplace transformation. According to the method, the mathematical model of the pumping and recharging system is established, the laplace transformation method is used for solving the rule that the recharging pressure changes along with time, and therefore the recharging pressure change of the abandoned mine in the geothermal energy development process is accurately analyzed.

The invention discloses an engineering calculation prediction method for wellhead pressure of a carbon dioxide injection well. The engineering calculation prediction method comprises the steps that carbon dioxide injection displacement parameters, the vertical depth of the injection well, the size of an injection tubular column, the bottom hole temperature, the bottom hole pressure and the wellhead temperature are obtained; based on the bottom hole temperature and the bottom hole pressure, the bottom hole carbon dioxide density is obtained through calculation or query; according to the carbon dioxide injection displacement parameter, the vertical depth of the injection well, the size of the injection tubular column and the carbon dioxide density in the shaft, the friction resistance of the injection well tubular column is obtained through calculation or query; taking the vertical depth of the injection well, the bottom hole pressure, the friction resistance of the pipe string of the injection well and the carbon dioxide density in the shaft as input items, and taking the wellhead pressure as an output item to carry out iterative calculation; and when the wellhead pressure obtained by the first calculation is equal to the wellhead pressure obtained by the ith calculation, stopping the iterative calculation. The method can realize engineering calculation solution of rapid prediction of the wellhead pressure of the carbon dioxide injection well.

The invention relates to a cableway bridge space torsional vibration simulation method suitable for a complex environment. The method comprises the following steps: 1) establishing a cableway bridge vector type finite element three-dimensional space model; 2) importing environment monitoring data, and defining a simulation working condition; and 3) iteratively solving the displacement and the internal force of the model in each integral step to finish the spatial torsional vibration simulation of the cableway bridge. The method has the beneficial effects that the simulation method is based on the characteristic that a vector finite element does not need to assemble an overall stiffness matrix, and the solving difficulty of the problems of large deformation and spatial torsional vibration of the flexible structure such as the cableway bridge is reduced; compared with a theoretical analysis method and a traditional finite element method, the method has the advantages that the modeling and solving process is simplified, the vector type finite element is easy to program, and the method can be popularized to solve the structural space vibration problem under different environment characteristics, structural characteristics and load combinations.

The invention relates to the field of fractional order partial differential equation modeling, and discloses a novel fractional order variable transformation neural network analytic solver, which depends on a neural network architecture, uses a display model of the neural network architecture as a tentative function of a fractional order partial differential equation, transforms an input variable, and obtains a fractional order variable transformation neural network model. According to the method, a fractional order partial differential equation of a Riemann-Liouville derivative with Jumarie correction is converted into an integer order partial differential equation, and due to the fact that a tentative function is composed of weight and deviation terms in a neural network structure, solving of the fractional order partial differential equation can be converted into calculation of the weight and deviation. Firstly, an equation is converted into a non-linear algebraic equation which is easy to solve by utilizing a heuristic function, then corresponding weight and deviation are determined by utilizing an undetermined coefficient method, and the analytic solver can obtain an accurate symbol analytic solution of a fractional order partial differential equation without a data sample.

This invention belongs to the field of hypersonic aerodynamics and discloses a method for predicting hypersonic boundary layer transition based on the numerical solution of the frequency domain Navier-Stokes equations. This method, through the assumption of small perturbations, linearly decomposes the hypersonic flow field into a steady flow field and a perturbed flow field. It eliminates the time differential terms in the time-domain Navier-Stokes equations using complex decomposition, transforming the time-domain Navier-Stokes equations into linear algebraic equations in complex space, thereby simplifying the solution and analysis of the time-domain Navier-Stokes equations. Specifically, it includes three stages: preprocessing, solver, and post-processing. The iterative solution of the frequency-domain Navier-Stokes equations in the solver is the core, including spatial discretization of the frequency-domain Navier-Stokes equations, iterative progression, implementation of boundary conditions, parallel data exchange, convergence judgment, and result output. The hypersonic boundary layer transition prediction method based on the numerical solution of the frequency-domain Navier-Stokes equations of this invention can balance computational efficiency and accuracy, and has practical engineering value.

The invention provides a pile forming machine tool construction control method and machine tool for a spiral replacement cement reinforced soil pile, and relates to the technical field of long spiral replacement cement reinforced soil piles, the method comprises the following steps: adding a flow state cement reinforced soil composite material into a slurry stirring machine according to a preset proportion for mixing to obtain flow state cement reinforced soil; based on the pile position determined through surveying and setting out, drilling of a preformed hole is conducted through a spiral drill rod; flow-state cement reinforcing soil is poured into the preformed hole, and a spiral drill rod is lifted through a lifting system; the automatic control system dynamically adjusts the lifting speed of the spiral drill rod and the flow of the poured flow-state cement reinforced soil according to the monitored pressure numerical value of the pressure sensor; and after the spiral drill rod is lifted to the preset pile bottom elevation, pouring of the flow-state cement reinforcing soil is stopped, the drill rod is cleaned, and pile forming construction of the next pile position is conducted. According to the method, the lifting speed of the spiral drill rod and the flow of the poured flow-state cement reinforced soil can be better controlled in practical application.

The invention discloses a distributed power distribution control method and system capable of accurately constraining a voltage operation boundary, and belongs to the field of power distribution operation control. The distributed power distribution control method capable of accurately constraining the voltage operation boundary comprises the following steps: constructing a simplified voltage deviation control model based on a droop control distributed power supply in a power distribution system through key process and parameter extraction for the droop control distributed power supply with voltage supporting capability; a symmetric state conversion mapping function is designed by combining the characteristics of a tangent transformation function, and the control problem of original voltage upper and lower limit constraints is converted into an unconstrained continuous space to be processed; on the basis of a simplified voltage deviation control model and an unconstrained continuous space, a distributed control algorithm based on a sliding mode is designed, so that cooperative control of a plurality of distributed power supplies is realized on the premise that the voltage does not exceed the limit.

The invention discloses an electrode detection type magneto-acoustic electromagnetic particle concentration image reconstruction method, which specifically comprises the following steps of: firstly, setting initial simulation conditions of magneto-acoustic electromagnetic particles, uniformly setting k sound source scanning excitation points, aiming at sound source excitation of rk, acquiring an electric signal of a detection electrode, discretizing and converting the electric signal into a column vector; collecting background sound field distribution, and discretizing the background sound field distribution into a sound field data matrix; solving the electric signal and the sound field matrix equation to obtain virtual fluctuation field source distribution of the magnetic particles, wherein the virtual fluctuation field source distribution has a direct corresponding relation with the concentration of the magnetic particles; magnetic particle current density distribution in the reciprocity process is obtained; and reconstructing magnetic particle concentration distribution by using the virtual fluctuation field source distribution and the current density distribution. According to the electrode detection type magneto-acoustic electromagnetic particle concentration image reconstruction method provided by the invention, discretization is carried out by utilizing a moment method, a virtual fluctuation field source matrix is solved, magnetic particle concentration information is reconstructed through electrode receiving signals and sound field data information, and the method has a good application prospect.