10results about How to "Improve dynamic tuning performance" patented technology

The application discloses a kind of six-phase permanent magnet motor deadbeat direct current control methods based on dynamic time planning: by establishing dimension reduction transformation matrix, the influence of open-circuit fault on mathematical model and voltage complex plane distribution is analyzed, further utilize fault mathematical model and dimension reduction transformation matrix, the harmonic plane current reference value under different fault types is deduced, and the general formula of deadbeat direct current control rate is constructed.On this basis, with dynamic adjustment time as optimization goal, form motor system transient process standard optimization problem.To fixed current increment, the magnetic flux complex plane is divided, according to the magnetic flux information and voltage information of each magnetic flux grid, the motion time of each forward path in dynamic programming is calculated, and time planning is carried out in backward level mode, and an optimal path with shortest time is searched out in reverse direction, which can significantly improve the dynamic performance of motor in different fault-tolerant modes, and has good algorithm execution efficiency.

The application relates to the technical field of computers and discloses a wireless micro-current tactile feedback game control device interaction method and system, which comprises the following steps: constructing an interaction feature matrix of user operation data and game scene data; generating a wireless micro-current control signal of a game control device through the interaction feature matrix and determining a body surface stimulation partition of the game control device; setting a stimulation combination mode of the wireless micro-current control signal and the body surface stimulation partition according to a game scene type and user operation preferences; extracting a response delay parameter and a stimulation coverage index in the stimulation combination mode, calculating a stimulation deviation value of the wireless micro-current control signal; calculating a tactile feedback threshold value corresponding to the game control device by using the stimulation deviation value; and generating a micro-current tactile feedback scheme of the game control device by combining the stimulation combination mode and the tactile feedback threshold value. The application can significantly improve the game immersion of users.

The application discloses a kind of top coal crushing degree prediction methods based on image recognition, belong to image recognition field, including: real-time acquisition top coal image and analysis definition and edge sharpness, automatically adjust camera focus to obtain high-quality image, apply edge detection algorithm to extract coal block shape and size distribution characteristics, determine crushing degree parameter.If parameter matches with preset threshold value, then it is combined with geological strength and mining depth to predict crushing degree distribution by neural network, analyze change trend and judge whether to need to adjust mining process parameter.Optimized parameter is handled historical data by feedback learning mechanism, determines self-learning adjustment value and updates neural network model, to realize more accurate crushing degree prediction and mining process closed-loop control.The application is fused by image processing, feature extraction and neural network prediction, significantly improves top coal crushing degree identification precision and mining efficiency, and optimizes process parameter dynamic adjustment capability.

The application relates to the technical field of electric energy conversion control, and discloses a marine cascade architecture voltage balance logic scheduling system, which comprises a cascade power sub-module, a sampling unit and a power balance controller. The power balance controller is integrated with a transient state prediction compensator, which is used for calculating second-order difference parameters of a voltage sampling sequence, identifying a marine load energy pulsation trend and searching for a trigger time advance. The power balance controller is also used for performing phase offset on a voltage balance lag window, adjusting a switch bridge arm driving signal according to the trigger time advance. The application realizes alignment of a scheduling instruction execution time and a marine load pulsation period by guiding dynamic contraction of a lag window width through difference parameters, offsets a sampling circuit group time delay, reduces power device transient state electric field stress, suppresses sub-module voltage oscillation and delays a thermal aging process.

This invention discloses an intelligent scheduling system for path planning based on UAV inspection data acquisition, relating to the fields of UAV inspection and intelligent scheduling technology. It includes a unified organization module for inspection data acquisition, which performs time alignment, spatial mapping, and unified encoding processing on positioning data, attitude data, environmental perception data, inspection image data, task execution status data, and resource status data to generate a set of inspection status units. In this invention, the unified organization module performs time alignment, spatial mapping, field parsing, joint matching, and unified encoding processing on positioning data, attitude data, environmental perception data, inspection image data, task execution status data, and resource status data to generate inspection spatiotemporal status data and a set of inspection status units. This allows multi-source inspection data, which was originally scattered and inconsistent in expression, to form a continuously callable organizational result under a unified time and spatial location.

The invention belongs to the technical field of intelligent warehousing and sorting, and particularly relates to a scheduling control method and device, a computer readable storage medium and electronic equipment. The method comprises the following steps: acquiring environment state information and material order information; task lists are generated according to the environment state information and the material order information, and various task lists to be executed are obtained; the various types of task lists are disassembled, and each sub-task after being disassembled is obtained; and allocating each sub-task to each corresponding execution device, so that each execution device executes each sub-task. According to the method and the device, various task lists to be executed can be adaptively generated according to the environment state information and the material order information, and the task lists are disassembled into the sub-tasks to be distributed to the corresponding execution devices, so that the overall dynamic adjustment capability is effectively improved.

The present application relates to the technical field of power systems, and discloses an energy storage system, a control method, an electronic device, a storage medium and a program product, the energy storage system comprising a plurality of energy storage modules, each energy storage module comprising: a communication unit for sharing operation state data among the plurality of energy storage modules; and the control unit is configured to acquire the operation state data of other energy storage modules through the communication unit, and dynamically elect two energy storage modules in the plurality of energy storage modules to form a cooperative host pair based on a multi-agent decision rule, and the cooperative host pair cooperatively adjusts the power grid voltage and the power grid frequency of the energy storage system. According to the invention, each energy storage module is configured with the control unit, and the communication unit is utilized to share the operation state data, so that the system can dynamically elect a collaborative host pair composed of two energy storage modules based on a multi-agent decision rule. And the problem that the reliability of the whole system is reduced due to the fault of the fixed host is effectively solved.

The invention relates to the technical field of network security, in particular to a network security monitoring system based on artificial intelligence, which comprises a data preprocessing module, an anomaly detection module, a fault mode learning module, a threshold dynamic adjustment module, an attack source positioning module, a behavior analysis and identification module, a decision support module and a recovery strategy optimization module. According to the method, the abnormal state can be efficiently identified through the isolation forest algorithm and the self-encoder model, the learning of the fault mode is deeper through the application of the long and short-term memory network, and the precise attack source positioning is realized through the combination of the self-regression differential moving average model and the graph database query technology; the accuracy of attack pattern recognition is improved by introducing the convolutional neural network and the graph neural network, the security decision is more scientific and reasonable by applying the analytic hierarchy process and the support vector machine algorithm, and the resource allocation and recovery strategy are optimized by using the genetic algorithm and the particle swarm optimization algorithm.

The application belongs to the technical field of double-core microbead preparation, and particularly relates to a double-core microbead production process based on a cone tip matching three-dimensional microfluidic chip and application. The production process comprises the following steps: (1) raw material conveying: conveying the required materials through different pipelines to the cone tip matching three-dimensional microfluidic chip under insulation conditions; (2) material flow shearing: shearing the required materials in the cone tip matching three-dimensional microfluidic chip to obtain double-core droplets; (3) cooling and forming; and (4) product collection. The cone tip matching three-dimensional microfluidic chip structure can be used for accurately producing double-core microbeads, can realize accurate wrapping of the double-core microbeads, can realize accurate regulation of the particle size of the double-core microbeads, and can provide double-core microbeads with high structural consistency and high yield. Meanwhile, the continuous production of the double-core microbeads can realize stable, rapid and large-scale preparation, so that the microbeads can be widely applied in the fields of medicine, cosmetics, food and the like.

The invention relates to a pipeline pressure test packet division method and system based on a three-dimensional model, and the method comprises the steps: constructing a pipeline construction three-dimensional model which comprises the attribute information of a pipeline; in a visual operation interface, receiving a labeling operation of a user on a pressure test packet range on the three-dimensional model, and calculating and displaying key parameters of the pressure test packet in real time based on attribute information of the three-dimensional model; the method comprises the following steps: matching pressure test packet parameters marked by a user with a pre-stored pressure test specification rule base, checking whether a pressure test packet conforms to a test specification or not, and marking parts which do not conform to the test specification; according to construction parameters set by a user, on the basis of a pipeline connection relation graph, equipment grouping is carried out, a pressure test packet division scheme is generated, integrity verification is carried out on the division scheme, and by introducing three-dimensional modeling and providing visual operation and intelligent verification, the technical problems that manual checking is large in workload, tedious in process and prone to making mistakes are solved.