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185 results about "Unconstrained optimization" patented technology
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An important aspect of continuous optimization (constrained and unconstrained) is whether the functions are smooth, by which we mean that the second derivatives exist and are continuous. There has been extensive study and development of algorithms for the unconstrained optimization of smooth functions.
Strategy independent optimization of multi objective functions
InactiveUS20030233304A1Most efficientReduce disadvantagesFinanceDigital computer detailsFunction optimizationParallel processing
A method for strategy independent optimization of a multi-objective function of a portfolio containing at least one investment is disclosed. The method involves the use of genetic algorithms to arrive at function optimization. A suite of strategies is provided enabling the user to select a strategy and optimize a function. Real world data is drawn from exchanges and is utilized for replication. The invention also discloses a novel combination of apparatus for carrying out the method of invention, typically, using parallel processing.
Owner:CENT FOR DEV OF ADVANCED COMPUTING OF PUNE UNIV CAMPUS
Text classification by weighted proximal support vector machine
InactiveUS20070239638A1Improve classification qualityFast trainingDigital data information retrievalDigital computer detailsText categorizationCategorical models
Embodiments of the invention relate to improvements to the support vector machine (SVM) classification model. When text data is significantly unbalanced (i.e., positive and negative labeled data are in disproportion), the classification quality of standard SVM deteriorates. Embodiments of the invention are directed to a weighted proximal SVM (WPSVM) model that achieves substantially the same accuracy as the traditional SVM model while requiring significantly less computational time. A weighted proximal SVM (WPSVM) model in accordance with embodiments of the invention may include a weight for each training error and a method for estimating the weights, which automatically solves the unbalanced data problem. And, instead of solving the optimization problem via the KKT (Karush-Kuhn-Tucker) conditions and the Sherman-Morrison-Woodbury formula, embodiments of the invention use an iterative algorithm to solve an unconstrained optimization problem, which makes WPSVM suitable for classifying relatively high dimensional data.
Owner:MICROSOFT TECH LICENSING LLC
Metaheuristic-guided trust-tech methods for global unconstrained optimization
A method determines a global optimal solution of a system defined by a plurality of nonlinear equations by applying a metaheuristic method to cluster a plurality of search instances into at least one group, selecting a center point and a plurality of top points from the search instances in each group and applying a local method, starting from the center point and top points for each group, to find a local optimal solution for each group in a tier-by-tier manner. Then a TRUST-TECH methodology is applied to each local optimal solution to find a set of tier-1 local optimal solutions, and the TRUST-TECH methodology is applied to each tier-1 local optimal solution to find a set of tier-2 local optimal solutions. A best solution is identified among all the local optimal solutions as the global optimal solution. The heuristic method can be a particle swarm optimization method or a genetic algorithm method.
Owner:BIGWOOD TECH
Strategy independent optimization of multi objective functions
InactiveUS7395235B2Improved oddsCancel noiseFinanceDigital computer detailsFunction optimizationParallel processing
Owner:CENT FOR DEV OF ADVANCED COMPUTING OF PUNE UNIV CAMPUS
Method and apparatus for designing electronic circuits using optimization
InactiveUS7516423B2Analogue computers for electric apparatusGenetic modelsTheoretical computer scienceObject function
Owner:KIMOTION TECH (BE)
Combined DOA and TOA single-station passive positioning method based on error correction
ActiveCN108717184AImprove targeting performanceGuaranteed estimated performanceRadio wave reradiation/reflectionLocation statusRadar systems
The invention discloses a combined DOA and TOA single-station passive positioning method based on error correction. According to measurement information obtained by a receiving station of an externalradiation source radar system, by introducing an auxiliary variable, a nonlinear equation is converted into a pseudo-linear equation, a pseudo-linear model between the state of a target position and the state of an observation station position is established, an iterative least square method is adopted for estimation, a constrained total least square estimation model is constructed, a constrainedoptimization problem is converted into an unconstrained optimization problem, a Newton iteration method is used for optimization and solution, and the correlation between the auxiliary variable and the target position is used for constructing a correlation least square estimation model, so that the target positioning performance is further improved. The target positioning accuracy is improved through combined estimation of the target position and system errors. Convenience is provided for improving the target positioning performance, the complexity of error registration under the premise of ensuring the estimation performance is reduced, and good positioning performance in the case of large measurement noise is achieved.
Owner:HANGZHOU DIANZI UNIV
Multi-carrier modulation with source information allocated over variable quality communication channel
ActiveUS7310301B1Suitable for useImprove efficiencyPower managementModulated-carrier systemsCommunications systemSignal quality
A multi-carrier communication system (400) groups subchannels (802) into different quality-of-signal (QoS) regions (804). An unconstrained optimization process (1200) is performed independently for the subchannels (802) of the different QoS regions (804) to allocate bit rates and power to the individual subchannels (802) so that the indicated QoS will result. Coders (504, 508, 512, 516) partition and error-correction encode source information using encoding schemes matched to the different QoS regions (804). A set (1100) of only a few directed QoS partition vectors (1102) direct the unconstrained optimization process (1200) to attempt bit-rate and power allocations on only a few promising groupings of subchannels (802) and QoS regions (804). An iterative process may take place between bit-rate and power allocation on one side and source information coding on the other for different directed QoS partition vectors (1102) to identify the best solution.
Owner:GENERAL DYNAMICS MISSION SYST INC
System and method for performing non-linear constrained optimization with a genetic algorithm
InactiveUS7672910B1Efficient solutionDigital computer detailsSpecial data processing applicationsOptimization problemUnconstrained optimization
An augmented Lagrangian genetic algorithm that may be used to generate solutions for optimization problems subject to linear, bound, and non-linear constraints is discussed. The augmented Lagrangian genetic algorithm uses an adaptive mutation operator to separately handle the linear, and bound constraints, and uses an augmented Lagrangian framework to handle non-linear constraints. The non-linear constraints are handled by creating a sub-problem without the linear and bound constraints and solving the sub-problem using Lagrange parameter estimates and a penalty factor. The exclusion of the linear constraints and boundary constraints from the sub-problem allows the sub-problem to be resolved in a more effective manner than is possible using conventional techniques.
Owner:THE MATHWORKS INC
Text classification by weighted proximal support vector machine based on positive and negative sample sizes and weights
InactiveUS7707129B2Quality improvementFast trainingDigital data information retrievalDigital computer detailsText categorizationHigh dimensional
Embodiments of the invention relate to improvements to the support vector machine (SVM) classification model. When text data is significantly unbalanced (i.e., positive and negative labeled data are in disproportion), the classification quality of standard SVM deteriorates. Embodiments of the invention are directed to a weighted proximal SVM (WPSVM) model that achieves substantially the same accuracy as the traditional SVM model while requiring significantly less computational time. A weighted proximal SVM (WPSVM) model in accordance with embodiments of the invention may include a weight for each training error and a method for estimating the weights, which automatically solves the unbalanced data problem. And, instead of solving the optimization problem via the KKT (Karush-Kuhn-Tucker) conditions and the Sherman-Morrison-Woodbury formula, embodiments of the invention use an iterative algorithm to solve an unconstrained optimization problem, which makes WPSVM suitable for classifying relatively high dimensional data.
Owner:MICROSOFT TECH LICENSING LLC
Power distribution network planning double-layer optimization model construction method based on operation limitation
PendingCN110163450AImprove solution efficiencySolving performance is stableForecastingResourcesOptimization problemComputer science
The invention discloses a power distribution network planning double-layer optimization model construction method based on operation limitation, which comprises the following steps of: constructing anupper investment construction optimization model and a lower scheduling operation optimization model by taking input construction time and site selection constant volume of lines and energy storage as decision variables; adding constraint conditions into an objective function by using a Lagrangian multiplier, converting an original optimization problem containing equality and inequality constraints into an unconstrained optimization problem, and finally solving the problem by using a Kuhn-Tucker condition; screening a limited operation scene based on the shadow price, wherein the shadow pricerepresents the reduced scheduling cost of assuming that the resource is expanded by one unit; and carrying out decoupling processing on the upper investment construction optimization model and the lower scheduling operation optimization model.
Owner:RES INST OF ECONOMICS & TECH STATE GRID SHANDONG ELECTRIC POWER +3
Distributed coordinated voltage control method and system for VSC-HVDC grid-connected wind farm based on MPC and ADMM algorithm
ActiveCN109149638ALighten the computational burdenOptimal control appliesSingle network parallel feeding arrangementsWind energy generationMathematical modelVoltage reference
The invention discloses a distributed coordinated voltage control method and system for a VSC-HVDC grid-connected wind farm based on an MPC and ADMM algorithm, which includes acquiring system operation state information, calculating voltage sensitivity coefficient, establishing predictive model of wind farm side converter, predictive model of reactive power linearization control of wind turbine generator system and linearized state space model of whole system; Aiming at minimizing the voltage offset and the reactive power fluctuation of wind turbine generator system, taking the reactive powerof wind turbine generator system and the voltage reference value of wind farm converter as decision variables, an optimized mathematical model for coordinated voltage control of the VSC-HVDC grid-connected wind farm based on MPV is established; The optimal mathematical model is solved. The invention disassembles the large-scale constrained optimization problem into an unconstrained optimization problem and a plurality of parallel small-scale constrained optimization problems, reduces the calculation burden of the central controller, and is more suitable for the optimization control of a large-scale offshore wind farm.
Owner:SHANDONG UNIV +1
Mathematical model for optimal configuration of power distribution network filtering devices
ActiveCN102832625AReduce capacityImprove filtering effectBiological modelsReactive power adjustment/elimination/compensationMathematical modelTotal harmonic distortion
The invention discloses a mathematical model for optimal configuration of power distribution network filtering devices. Under the condition that harmonic voltage, condenser capacity and the like meet constraint conditions, in terms of system average voltage total distortion and investment cost, a comprehensive objective function is given in a linear weighting manner, a penalty function is added to the objective function so that a constrained optimization problem is converted into a unconstrained optimization problem, and an improved simulated annealing-particle swarm optimization (namely introduction of an adaptive inertia coefficient and a memorizer) is used for solving. The model can be adapted to the random variation of a harmonic source and network parameters, can ensure that the harmonicration and average voltage total harmonic distortion of each node of the network are in the specified limits, can optimize the installation type, installation location, installation quantity, capacity parameter and the like of active filters and passive filters in a centralized manner in the whole network; and by the mathematical model, the investment cost of filtering devices in the whole network is reduced to the minimum.
Owner:STATE GRID CHONGQING ELECTRIC POWER COMPANY SKILLTRAINING CENT +1
Reducing vibration using QR decomposition and unconstrained optimization for a multi-rotor aircraft
ActiveUS7512463B1Reduce vibrationVehicle testingRegistering/indicating working of vehiclesQR decompositionEngineering
Owner:SIMMONDS PRECISION PRODS
A migration sparse coding image classification method based on dictionary domain adaptation
ActiveCN109308485AGuaranteed Shared FeaturesImprove portabilityCharacter and pattern recognitionClassification methodsInter-domain
The invention discloses a migration sparse coding image classification method based on dictionary domain adaptation, belonging to the machine learning field. This method introduces dictionary alignment mechanism based on traditional sparse coding model and constructs feature transfer classification model to solve the problem of image cross-domain classification. When the samples in source domain and target domain obey different distributions, the traditional sparse-coded image classification algorithm can not learn from the samples in source domain to obtain the dictionary which can encode thesamples in target domain effectively, so the classification performance is degraded. At first, that dictionary alignment mechanism is introduce into a sparse coding model, then the constraint term ofthe dictionary are converted into an unconstrained optimization problem by L2 regularization, and the knowledge transfer performance of the model is improved by adopting an inter-domain dictionary approximation as a regularization term. The invention can effectively extract cross-domain image sparse feature representation and obtain higher classification accuracy.
Owner:CHINA UNIV OF MINING & TECH
Systems and Methods for Multi-Objective Evolutionary Algorithms with Category Discovery
Systems and methods are provided to engage in multi-tiered optimization where there may be a first multi-objective optimization and a second constraint optimization. The multi-objective optimization may be used to drive to one or more goals of the optimization problem. The constraint optimization or minimization may be used to drive towards a reduced and / or no constraint situation where the solution to the overall problem is feasible or near-feasible.
Owner:THE AEROSPACE CORPORATION
Laser-induced breakdown spectroscopy overlapped peak resolution method
ActiveCN103076308AImprove performanceImprove accuracySpectrum investigationAnalysis by material excitationRelevant informationMathematical model
The invention relates to the field of laser-induced breakdown spectroscopy data pretreatment analysis. Specifically, with the method, based on a reasonable spectral peak mathematical model, with an unconstrained optimization algorithm, spectral peak related information after overlapped peak resolution is obtained by calculation. According to the method, based on a spectral peak mathematical model, and with an unconstrained optimization algorithm, spectral line related information after overlapped peak resolution is obtained by calculation, and overlapped spectral lines are separated. According to the invention, selective calculation can be carried out according to actual spectral line situations, and spectral line information can be determined with a small amount of parameters. Therefore, sample component analysis performance and accuracy are improved. Spectral peak position is visually selected, and initialization parameters needed by all optimization algorithms can be determined. The method also has the advantages of high calculation speed and easy implementation. With the method, a final processing result is selected by visual comparison, such that substance component quantitative analysis accuracy is improved.
Owner:SHENYANG INST OF AUTOMATION - CHINESE ACAD OF SCI
CTLS-based external radiation source radar net bistatic distance error registration method
ActiveCN108387876AGuaranteed estimated performanceReduce complexityWave based measurement systemsEuclidean vectorLinearization
The invention discloses a CTLS-based external radiation source radar net bistatic distance error registration method. First, according to bistatic information obtained by an external radiation sourceradar, an intermediate variable is introduced, a bistatic distance nonlinear equation is converted into a pseudo linear equation so as to be suitable for a least square method, and then a recursive least square method is utilized to perform estimation. Then structured measurement noise in the bistatic nonlinear equation is extracted, and a CTLS estimation model is built. The abovementioned constrained optimization problem is converted into an unconstrained optimization problem and a Newton iteration method is utilized to perform optimization solution. On the basis of a CTLS estimation result,relevance of solved vectors is utilized to further optimize an estimation error. The method provided by the invention fully considers the problem of architecture of originally independent noise afterequation pseudo linear processing through a CTLS method, thus the estimation result is more accurate, and good performance can be achieved when noise is even bigger.
Owner:HANGZHOU DIANZI UNIV
Rapid planar sparse array synthesis method
InactiveCN104750944AAvoiding Computational Ill Conditioning ProblemsVersatilitySpecial data processing applicationsConjugate gradient solverSynthesis methods
The invention discloses a rapid planar sparse array synthesis method. The method has the advantages that a conventional planar array synthesis constraint optimization model is converted into an unconstraint optimization problem by constructing a Lagrange function, so that calculation ill-posed problems in the iterative optimization process of a planar array are avoided, an array weight vector can be updated by the aid of closed-form solution in each time of iteration, planar array synthesis problems can be solved without an optimization tool, the method is more universal and transportability, an inverse matrix in the closed-form solution is quite large in scale as a two-dimensional space angle sample number of the planar array is increased in a quadratic manner, the inversion problem of the large-scale matrix is solved by introducing a conjugate gradient method, and convergence of planar array synthesis is accelerated, so that the method is higher in real-time performance and particularly applicable to occasions with high requirements on array optimization real-time performance and universality.
Owner:NANJING UNIV OF INFORMATION SCI & TECH
Inversion method for parameters of wires at special pole and tower positions of electric transmission line based on current magnetic field
ActiveCN109115217AImprove intelligenceRealize intelligent inspectionNavigational calculation instrumentsMagnitude/direction of magnetic fieldsUncrewed vehicleClassical mechanics
The invention provides an inversion method for the parameters of wires at special pole and tower positions of an electric transmission line based on a current magnetic field. The inversion method comprises a magnetic field sensor measuring and sampling part, line segmented inversion parts and a self-adaptive step-length adjusting part, wherein the magnetic field sensor measuring and sampling part,the line segmented inversion parts and the self-adaptive step-length adjusting part are implemented successively. The invention has the following beneficial effects: a magnetic field sensor is mounted on an unmanned aerial vehicle for measuring the magnetic field intensity data of each point in space during flight, and an unconstrained optimization algorithm is employed for segmented processing of the data; at the same time, since the situation that electric transmission lines stretch across poles, towers and corners extensively exists in reality, a self-adaptive manner is adopted for automatic adjustment of the segment length of data, so the algorithm is better intelligentized; and the positional information of the electric transmission wires obtained after inversion can be used for guiding the subsequent flight of the unmanned aerial vehicle along the line, so intelligent line inspection of the unmanned aerial vehicle can be realized.
Owner:STATE GRID SHAANXI ELECTRIC POWER RES INST +1
Comprehensive energy system optimization method, device and equipment and readable storage medium
PendingCN110298138AForecastingDesign optimisation/simulationEnergy system optimizationDynamic planning
The invention discloses a comprehensive energy system optimization method, which comprises the following steps of obtaining system parameters of a comprehensive energy system, and constructing a jointoptimization model based on two-stage random optimization by utilizing the system parameters, wherein the system parameters comprise equipment parameters and line parameters during planning and source load parameters during operation; deconstraining the constraint optimization problem in the joint optimization model to obtain a target joint optimization model of the unconstrained optimization problem; carrying out iterative solution on the target joint optimization model by utilizing an accelerated gradient descent algorithm to obtain system optimization parameters; and utilizing the system optimization parameters to optimize the planning and operation of the comprehensive energy system. According to the method, rapid, effective, real-time and dynamic planning optimization and operation optimization can be carried out on the comprehensive energy system. The invention further discloses a comprehensive energy system optimization device and equipment and a readable storage medium which have corresponding technical effects.
Owner:ELECTRIC POWER RESEARCH INSTITUTE, CHINA SOUTHERN POWER GRID CO LTD +1
Optimization method of extra-high voltage transient stability control
ActiveCN103066595AImprove global convergenceEasy to masterSingle network parallel feeding arrangementsUltra high voltageSafety control
The invention relates to an optimization method in the field of electric systems, in particular to an optimization method of extra-high voltage transient stability control. The optimization method of the extra-high voltage transient stability control comprises the following steps: (1) setting up a power grid coordination control optimization model, (2) converting a constrained optimization problem of the power grid coordination control optimization model to an unconstrained optimization problem, (3) solving the unconstrained optimization problem by adopting an optimization method of a particle swarm with wavelet mutation, and (4) confirming a globally optimal solution in the particle swarm. The optimization method of the extra-high voltage transient stability control facilitates that electric power system planners and analysts grasp transient stability emergency control, and provides the basis for confirmation of emergency safety control measures of ultra-high voltage grids. The optimization method of the extra-high voltage transient stability control has the advantages of increasing wavelet mutation operation, improving global convergence characteristics, being capable of processing optimization problems of thousands of nodes, conveniently combining parallel computing techniques, and further improving computation speed by using large-scale computers.
Owner:CHINA ELECTRIC POWER RES INST +1
Non-Gauss noise-against blind equalization method
PendingCN101771637AAccurate transmissionReduce lossNetwork topologiesTransmitter/receiver shaping networksLine sensorBlind equalization
The invention discloses a non-Gauss noise-against blind equalization method, aiming at providing the non-Gauss noise-against blind equalization method for wireless communication network, in particular between wireless sensor network nodes, in order to guarantee corrective data transmission between wireless sensor nodes. The maximal signal-to-noise energy ratio of an output signal of an equalizer is utilized as a starting point to construct a new cost function. Based on a method for converting the form of constraint condition, an alternative constraint condition is found, the constraint optimization problem is converted into a non-constraint optimization problem, secondary [epsilon]-insensitive loss functions are adopted to construct a solving method conforming to iterative reweighted least squares method, resulting in a global optimal solution for the cost function. The method can lower cell consumption of the wireless sensor network nodes and takes the requirement on small number of data as well as rapid convergence into consideration in the aspect of algorithm design. The algorithm is suitable for the problem of blind equalization for low-order and high-order quadrature amplitude modulation QAM and PSK signals. Drawings attached represent a model for signal transmission between the wireless sensor network nodes according to the invention.
Owner:NANJING UNIV OF POSTS & TELECOMM
Request scheduling and optimization method for spatial detection in distributed green cloud data center
ActiveCN108123995AScheduling intelligenceGuaranteed Average Request Latency RequirementsData switching networksMicrochiropteraGeolocation
The invention discloses a request scheduling and optimization method for spatial detection in a distributed green cloud data center. The method comprehensively considers changes of factors, such as electric energy price, wind speed, solar radiation strength and field air density generated by a thermal power generation mode, at different geographical locations. Aiming at the requests of a pluralityof applications, the method builds a framework for processing multiple types of application requests under a distributed green cloud data center environment, and accordingly, a non-linear constraintoptimization model of request scheduling of an overall cost of a cloud provider, is built, and a penalty function is designed to convert the non-linear constraint optimization model into an unrestraint optimization model, then a mixed element heuristic optimization algorithm based on simulated annealing and bat algorithms is used for solving the model, and thus request scheduling of spatial detection under the distributed green cloud data center environment is achieved. According to the method provided by the invention, all reached application requests can be scheduled to a plurality of greencloud data centers for executing, so that the overall cost of the cloud provider is minimized and the delay time requirements of all application requests are ensured.
Owner:BEIJING JIAOTONG UNIV
Low-speed impact locating method for composite material cell structure
InactiveCN103913722AShort runtimeOvercoming the lack of local convergencePosition fixationSensor arrayLow speed
The invention discloses a low-speed impact locating method for a composite material cell structure, and belongs to the field of composite material structure engineering structure health monitoring. According to the method, an unconstrained optimization algorithm based on a Newton method is applied to solving the low-speed impact recognition problem of the composite material cell structure, and the low-speed impact fast recognition of the structure is achieved. Based on a sensor array technology, impact induction is applied to the structure to generate Lamb wave signals, and impact response signals of the composite material cell structure are collected. A certain sensor is used as the criterion, the wavelet analysis means is adopted, and the time differences of Lamb waves reaching the other sensors are extracted. The unconstrained optimization algorithm based on the Newton method is adopted to solve and locate a system of nonlinear equations, and therefore the position of an impact source is obtained. The impact source of the composite material cell structure can be recognized fast and effectively, recognition precision is high, and good engineering application value is achieved.
Owner:NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
Constrained optimization of orthodontic bracket placement and archwire smoothing
A method and system for generated an optimized placement of orthodontic brackets on a set of teeth with the goal of smoothing the orthodontic archwire associated with the brackets. The optimized placement takes into account at least one constraint, such as minimum height of the brackets or minimum distance from the center of the tooth. Generating the optimized placement may take the form of iteratively re-positioned the brackets on the underlying teeth to derive the most optimal placement within the bounds of the given constraints.
Owner:ORMCO CORP
Time-perceptible request scheduling method in hybrid cloud environment
InactiveCN107317836AProfit maximizationImprove throughputArtificial lifeData switching networksDelayed timeSimulation based
The invention discloses a time-perceptible request scheduling method in a hybrid cloud environment. The method comprehensively considers the changes of the unit time execution costs of virtual machines in a public cloud and a private cloud, the energy price of the private cloud and other factors in the request delay time requirements. For the request of delay-tolerant applications, the method comprises the following steps: modelling the private cloud and the public cloud as a discrete time system that consists of equal time intervals, and on this basis, establishing a non-linear constrained optimization model of the request scheduling for maximizing the private cloud profits in the hybrid cloud environment, transforming the model into an unconstrained optimization model by adopting a penalty function method, and then solving the unconstrained optimization model by adopting a hybrid metaheuristic optimization algorithm based on simulated annealing and particle swarm optimization algorithms to achieve the time-perceptible request scheduling in the hybrid cloud environment. According to the time-perceptible request scheduling method disclosed by the invention, all arrival requests can be intelligently scheduled to the public cloud and the private cloud for execution, the profits of private cloud providers can be maximized, and the delay time requirements of all the requests can be ensured.
Owner:BEIJING JIAOTONG UNIV
Method and apparatus for encoding compressible data for transmission over variable quality communication channel
ActiveUS7339881B1Easy to codePower managementTime-division multiplexCommunications systemSignal quality
Owner:GENERAL DYNAMICS MISSION SYST INC
Real-time trajectory estimation with multi-station analysis
ActiveUS20170314384A1SurveyNavigation by speed/acceleration measurementsTime trajectoryUnconstrained optimization
Described is a system for position estimation. A set of raw sensor outputs are acquired from a sensor of a platform. The set of raw sensor outputs are stored in non-transitory memory. A set of optimized sensor measurements is generated by deducing errors in the raw sensor outputs using an unconstrained optimization algorithm. The system determines a position of the platform based on the set of optimized sensor measurements.
Owner:HRL LAB
Near-earth satellite redundant flywheel angular momentum autonomous management method
ActiveCN107239036AAvoid speed zero crossingAvoider satietyAdaptive controlEarth satelliteQR decomposition
The invention discloses a near-earth satellite redundant flywheel angular momentum autonomous management method, including the steps of S1. dividing given angular momentum increments of a flywheel group into an angular momentum increment of attitude control output by each flywheel in the flywheel group and an angular momentum increment of zero motion; S2. obtaining the central angular momentum of the flywheels; S3. converting a problem of solving flywheel group zero movement into a constrained quadratic form optimization problem, adopting QR decomposition to convert the constrained quadratic form optimization problem into an unconstrained optimization problem, and obtaining a zero movement angular momentum increment of each flywheel, so that the angular momentum of each flywheel approaches the central angular momentum; and S4. according to a relation between flywheel group null space after part of flywheels fail and flywheel group null space when no flywheel fails, completing angular momentum reconstruction of the flywheel group. The advantages of the method are that while the flywheel group generates given moment of force, the rotating speed of each flywheel can approach preset desired rotating speed, thereby preventing frequent zero passage or saturation of the rotating speed of flywheels and realizing on-line reconstruction of a whole system when part of the flywheels fail.
Owner:SHANGHAI AEROSPACE CONTROL TECH INST
Method for performing scattering predictive control on multi-time-scale complex huge system
InactiveCN101770209AImprove control optimization performanceImprove real-time performanceAdaptive controlTime domainComputation complexity
The invention discloses a method for performing scattering predictive control on a multi-time-scale complex huge system. Aiming at a difference of the dynamical property of the interconnected subsystems of the multi-time-scale complex huge system, the state of each subsystem is sampled and calculated in different sampling periods. The method is characterized in that a predictive control method of a variable time domain is adopted to resolve the contradiction between the control performance optimization and the calculation complexity; an inequality constraints conversion method is adopted to convert a constraint optimization problem to a constraint-free optimization problem; the following actions of the subsystem are predicted by using a subsystem module; a predicting result of the subsystem is fed back and corrected by using a measured value; a loss relevant signal is estimated by using an original value substitution method; the calculation complexity is further decreased by using a reduction state space decomposition algorithm so as to promote the optimization timeliness. In this way, the distributed control of an industrial huge system is realized. A system for manufacturing iron proves the effectiveness of the method and shows that the method has the advantages of high convergence rate, high computing efficiency and excellent optimization performance.
Owner:ZHEJIANG UNIV
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