23 results about "Geometric control" patented technology

The invention discloses a truss type load-bearing structure time domain dynamics topological optimization method and system based on an intrinsic orthogonal decomposition method, and relates to the technical field of truss type load-bearing structure topological optimization. The method is provided for solving the problems of high calculation power and the like caused by large-scale space-time response iteration of original transient problems and intensive calculation of dual problem sensitivity analysis in the prior art. According to the method, a local geometric control strategy for the cross interference problem of rod piece units is introduced, and a transient dynamics full-order topological optimization model of the truss structure is established through an equal geometric stiffness diffusion method. Based on an intrinsic orthogonal decomposition method, a transient dynamics reduced-order model of a truss structure is constructed, a reduced-order model base is updated in real time through an incremental singular value decomposition method, and then efficient solving of a transient dynamics equation and an adjoint equation in sensitivity analysis is achieved. And updating an iterative design variable by adopting a penalty function method, and seeking the optimal layout design of the truss structure. The invention provides a time-domain dynamics topological optimization method of the truss type load-bearing structure based on an intrinsic orthogonal decomposition method, and the method can be used for efficiently solving the dynamics layout optimization problem of the truss structure under the action of a transient load.

This invention relates to the field of robot motion control technology, and more particularly to an obstacle avoidance adaptive dynamic control system, comprising a multimodal environment and physiological temporal perception module with communication connections, a photodynamic Riemannian metric tensor mapping module, a neural constant differential cognitive evolution prediction module, a robust forward invariant tube synthesis module, a Riemannian space barrier constraint solving module, and a differential manifold impedance execution module. The perception module extracts circadian rhythm representation data; the mapping module reconstructs Euclidean space into a Riemannian manifold space based on the photodynamic cost scalar field; the neural constant differential module calculates the cognitive delay evolution trajectory by combining multi-source features; the synthesis module synthesizes a robust forward invariant tube for envelope prediction error; a Riemannian control barrier function constraint proposition is constructed by combining geodesic distance; and the execution module solves for the optimal safe control vector and inversely maps it to impedance torque distribution. This invention achieves deep coupling between physiological rhythms and non-Euclidean geometric control, constructing a physically compliant obstacle avoidance safety defense line.

This application relates to the field of metal bending component manufacturing technology, and discloses a method for controlling the bending radius in progressive forming of tubular materials by spinning and bending. The method includes the following steps: S1, obtaining an optimal combination of loading parameters affecting the forming quality indicators of the tubular material through orthogonal experiments; S2, establishing a regression function between the bending radius and the spinning and bending deformation parameters based on the optimal combination and the Maximin Latin square test results through stepwise regression analysis; S3, testing the regression function; if the test passes, obtaining the regression model of the bending radius; if the test fails, returning to step S2; S4, controlling the bending radius under the optimal loading parameter conditions using the regression model. This application incorporates a diameter reduction parameter into the control method, significantly improving the accuracy of bending radius control compared to existing geometric control models. It reduces the average error between tubular bending radius prediction and control from 10.28% to 5.2%, offering advantages such as high forming accuracy, wide applicability, and higher reliability.

This invention discloses a dynamic topology optimization method and system for stiffened load-bearing structures under moving mass excitation, relating to the field of topology optimization design for load-bearing structures. The technical problem this invention addresses is that existing design techniques fail to consider the load characteristics of moving mass excitation, cannot adapt to the aforementioned practical engineering scenarios, and cannot achieve optimal control of load-bearing structure vibration, resulting in poor structural reliability under complex vibration environments. Key technical points: This invention introduces a local geometric control strategy for the cross-interference problem of stiffened elements, and constructs a dynamic topology optimization model for stiffened load-bearing structures based on the equal geometric stiffness diffusion method. An augmented Lagrangian function incorporating volume constraints and stiffened element cross-interference constraints is constructed. The sensitivity information of the dynamic topology optimization model for stiffened load-bearing structures is calculated. Design variables such as the node coordinates and cross-sectional area of ​​the stiffened elements are updated based on the moving asymptote method to seek the optimal layout design of the stiffened load-bearing structure. This invention proposes a dynamic topology optimization method for stiffened load-bearing structures under moving mass excitation, applicable to the dynamic layout design of stiffened load-bearing structures under moving mass excitation.

The application discloses a method for automatically constructing a digital twin model of a bridge prefabricated component under sparse point cloud data, and steps include: S1, acquiring a sparse point cloud data set of the bridge prefabricated component; S2, improving a region growing algorithm and combining principal component analysis to dynamically search for an optimal growing threshold, thereby realizing automatic segmentation of sparse point cloud data of a component end face; S3, determining a main shaft direction of the component, arranging a slice plane along the main shaft direction, adaptively determining a slice thickness in combination with an end face geometric thickness, and extracting a measured slice contour through boundary point detection; S4, introducing a design section contour as a geometric prior, registering the measured slice contour extracted in S3, constructing a parameterized section contour, and optimizing and updating geometric parameters of the contour; and S5, constructing a digital twin model of the bridge prefabricated component. The method realizes automatic processing of sparse point cloud and robust extraction of key geometric elements, and provides method support for geometric review and construction geometric control of the prefabricated component.

This invention discloses a geofencing control method for quadrotor UAVs based on projected state safety. After constructing a nonlinear dynamic model of the quadrotor and defining the geofence, the invention designs an outer-loop nominal controller to generate nominal forces; utilizes the asymptotic stability of geometric control to decouple the underactuated dynamics into three independent linear double integrator subsystems; based on projected state safety theory, a reduced velocity safety set is constructed without shrinking the original geofence; a quadratic programming filter based on a second-order control obstacle function is established; the safety forces are mapped to total thrust and desired attitude; an inner-loop geometric attitude controller is designed to calculate the control torque; and finally, a hybrid matrix drive motor is used. This invention can strictly maintain the UAV's flight within the geofence under continuous external disturbances while achieving high-precision trajectory tracking, solving the problems of poor disturbance resistance, low space utilization, and model mismatch in existing technologies.

This invention belongs to the field of structural dynamics technology, specifically relating to a multi-objective shape optimization method and system for non-uniform material blades of rotating machinery. The method includes: obtaining initial geometric and material parameters of the blade; initializing blade geometric control point parameters according to the range of design variables; constructing a blade material model and geometric model based on the blade geometric control point parameters, node vectors, and basis function orders; establishing a strength analysis model to obtain Von Mises equivalent stress; establishing a vibration analysis model to obtain the blade's vibration frequency; obtaining the blade mass; and inputting the Von Mises equivalent stress, blade vibration frequency, and blade mass into an optimization algorithm for multi-objective optimization to obtain the optimal solution set and optimal individual set. This invention effectively overcomes the limitation of traditional gradient-based methods that easily get trapped in local optima, providing an efficient optimization tool for the complex design of high-performance blade structures made of novel materials.

The invention discloses a rib type load-bearing structure dynamics topological optimization method and system under the action of moving mass excitation, and relates to the field of load-bearing structure topological optimization design. The invention aims to solve the technical problems that the existing design technology does not consider the load characteristics of the moving mass excitation, cannot adapt to the actual engineering scene, cannot realize the optimal control of the vibration of the bearing structure, and leads to the poor working reliability of the structure in a complex vibration environment, and the like, and aims at solving the technical problems that the existing design technology does not consider the load characteristics of the moving mass excitation, cannot adapt to the actual engineering scene and cannot realize the optimal control of the vibration of the bearing structure. According to the technical key points, a local geometric control strategy of a rib unit cross interference problem is introduced, and a dynamic topological optimization model of the rib type load-bearing structure is constructed based on an equal geometric stiffness diffusion method. And constructing an augmented Lagrangian function including volume constraint and rib unit cross interference constraint, calculating sensitivity information of the rib type load-bearing structure dynamics topology optimization model, updating design variables such as node coordinates and cross section areas of rib units based on a moving asymptote method, and seeking the optimal layout design of the rib type load-bearing structure. The dynamic topological optimization method of the rib type load-bearing structure under the action of the moving mass excitation is suitable for dynamic layout design of the rib type load-bearing structure under the action of the moving mass excitation.

The invention discloses an unmanned aerial vehicle guaranteed cost constraint control method based on explicit reference adjustment, and belongs to the field of aircraft control. The implementation method comprises the following steps: introducing a fixed time disturbance observer in a position loop, and compensating lumped disturbance including contact force; designing an optimal guaranteed cost controller based on a linear matrix inequality as a position pre-stabilization feedback controller; an explicit reference adjustment is introduced to generate a position reference instruction proximate the target. In the attitude ring, a fixed time disturbance observer is introduced to compensate torque disturbance; designing a nonlinear robust controller based on geometric control as an attitude pre-stabilization feedback controller; and introducing explicit reference adjustment to generate an attitude reference instruction to adjust the attitude. The method can achieve the asymptotic tracking of the unmanned aerial vehicle on the original expected instruction during the whole limited contact task, guarantees that all states and input safety constraints are continuously satisfied, and has the advantages of anti-disturbance robustness, tracking performance superiority, constraint guarantee completeness and the like.

The invention provides an under-forest scene-oriented autonomous unmanned aerial vehicle speed adaptive trajectory planning method, and belongs to the technical field of unmanned aerial vehicle trajectory planning. The method comprises the following steps: step 1, creating a custom forest environment and transmitting the custom forest environment to an ROS; 2, taking the positioning truth value and the depth image as input of a trajectory planning method; 3, performing parameterized representation on the planning trajectory; 4, a trajectory planning method comprises front-end search and rear-end optimization; in the front-end searching part, the shortest safe path is searched, and the risk weights of the distance and the speed direction are comprehensively considered; 5, constructing a total target optimization function at the rear-end optimization part; 6, carrying out nonlinear optimization on the total target optimization function through Nlopt; and step seven, trajectory tracking is carried out by using a geometric control algorithm, and a speed adaptive flight experiment is completed in a dense environment. The speed self-adaption function can be achieved, the smoothness is high, the flight length is short, the flight time is short, and the comprehensive performance is excellent.

The invention discloses an automatic construction method for a digital twinborn model of a bridge prefabricated part under sparse point cloud data. The method comprises the following steps: S1, acquiring a sparse point cloud data set of the bridge prefabricated part; s2, improving a region growth algorithm and combining principal component analysis, dynamically searching an optimal growth threshold value, and realizing automatic segmentation of sparse point cloud data of the end face of the component; s3, determining the main axis direction of the component, arranging a slice plane in the main axis direction, adaptively determining the slice thickness in combination with the geometric thickness of the end surface, and extracting an actually measured slice contour through boundary point detection; s4, introducing a designed section contour as geometric priori, registering the actually measured section contour extracted in S3, constructing a parameterized section contour, and optimizing and updating contour geometric parameters; and S5, constructing a digital twinborn model of the bridge prefabricated component. Sparse point cloud automatic processing and key geometric element robust extraction are realized, and method support is provided for prefabricated part geometric review and construction geometric control.

The present disclosure generally relates to a processing system comprising a flow assembly for processing thin substrates using low flow rates. The flow assembly comprises at least one compression part configured to compress a volume occupied by gas radicals flowing at a rate of about 0.1 slm to 5 slm from a plasma source to a chamber in two dimensions. The at least one compression part compresses the volume occupied by the gas radicals about 50% to about 90% from an initial cross-sectional area of the port of the process chamber. In some embodiments, the at least one compression part is a two compression parts, where a first compression part coupled to the port of the process chamber is larger in volume than a second compression part coupled to the first compression part and the chamber. In such an embodiment, the first and second compression parts are removable.

The invention discloses a stiffened plate structure time domain dynamics topological optimization method and system based on a model reduction method, and relates to the field of topological optimization design of stiffened plate structures. According to the method, efficient solving of the time domain dynamics topological optimization problem of the stiffened plate structure is achieved, and therefore the large-scale lightweight dynamics design requirement of high-performance thin-wall engineering equipment is met. According to the technical key points, a base structure introducing rib unit local geometric control constraints is constructed, the initial connectivity of rib units is ensured, and the problem of local cross interference in the rib unit optimization process is inhibited; based on an equal geometric stiffness diffusion method, a time domain dynamics full-order topological optimization model of the stiffened plate structure is established. Then, on the basis of an intrinsic orthogonal decomposition method and an incremental singular value decomposition method, a time domain dynamics reduction model of the stiffened plate structure is constructed; and meanwhile, a sensitivity analysis adjoint equation of the time domain dynamics optimization problem is cooperatively reduced, so that the time domain dynamics topological optimization problem of the stiffened plate structure is efficiently solved. And finally, on the basis of a modified penalty function method, constructing an updating iteration format of design variables, and seeking an optimal rib layout design of the stiffened plate structure. The method is used for time domain dynamics layout optimization of the stiffened plate structure.

The present disclosure generally relates to a processing system comprising a flow assembly for processing thin substrates using low flow rates. The flow assembly comprises at least one compression part configured to compress a volume occupied by gas radicals flowing at a rate of about 0.1 slm to 5 slm from a plasma source to a chamber in two dimensions. The at least one compression part compresses the volume occupied by the gas radicals about 50% to about 90% from an initial cross- sectional area of the port of the process chamber. In some embodiments, the at least one compression part is a two compression parts, where a first compression part coupled to the port of the process chamber is larger in volume than a second compression part coupled to the first compression part and the chamber. In such an embodiment, the first and second compression parts are removable.

This invention relates to the field of image measurement technology and discloses a system and method for locating the interface of a single pile in geotechnical exploration based on borehole wall image measurement. The method first acquires a panoramic image of the borehole inner wall cylindrical surface. After coordinate mapping and equalization processing, a set of closed polygonal contours is extracted through a two-level geometric validity cascade filtering, and further fitted to generate a set of polarized long axis segments. Subsequently, an analysis window sliding along the depth direction is defined. By constructing a histogram of the angular frequency distribution of polarized line segments and calculating the geometric envelope area between it and the uniformly distributed baseline, a depth variation curve reflecting the spatial distribution characteristics is generated, thereby calibrating the manifold distribution transition interface. This invention achieves quantitative identification of the interface between pile tip sediment and bearing layer, and the interface of the soil disturbance zone around the pile, by quantitatively characterizing the statistical laws of the spatial orientation of soil fragments. This provides core geometric control parameters for the accurate calculation of the bearing capacity of a single pile.

The application discloses a kind of grasshopper-based space tensile structure parameterization modeling method, steps are as follows: picking up the building skin three-dimensional model of the tensile structure to be established;Determine the structure type and geometric control parameter, call input operator input parameter;Based on the input parameter, call the packaged tensile beam wireframe model generation operator or tensile truss wireframe model generation operator, obtain the three-dimensional wireframe model of tensile structure.The application can quickly establish the three-dimensional model of tensile structure according to building surface, and the structure type and geometric parameter can be freely controlled, the design method is simple and efficient, which provides great convenience for structure type finding, scheme comparison, calculation analysis and optimization design of space tensile structure.

The present disclosure generally relates to a processing system comprising a flow assembly for processing thin substrates using low flow rates. The flow assembly comprises at least one compression part configured to compress a volume occupied by gas radicals flowing at a rate of about 0.1 sim to 5 slm from a plasma source to a chamber in two dimensions. The at least one compression part compresses the volume occupied by the gas radicals about 50% to about 90% from an initial cross-sectional area of the port of the process chamber. In some embodiments, the at least one compression part is a two compression parts, where a first compression part coupled to the port of the process chamber is larger in volume than a second compression part coupled to the first compression part and the chamber. In such an embodiment, the first and second compression parts are removable.

The invention discloses a design intention driven turbine blade parameterization control and modeling method. A system corresponding to the method comprises an intention receiving module, a semantic analysis module, a constraint verification module and a geometric contour generation module. The novel turbine blade intelligent design method deeply integrating design intention understanding and parameterized geometric control has the core advantages that a traditional man-machine interaction barrier is broken, a bottom layer parameterized modeling engine can be automatically driven, end-to-end automatic generation from the design intention to the manufacturable blade profile geometry is achieved, and the method is suitable for large-scale production. And the design efficiency and flexibility are obviously improved. According to the method, a structured turbine blade parameterized modeling model with clear engineering semantics and an LLM-driven semantic-parameter mapping and code generation module form an intention-driven blade profile generation system through two cooperative working core parts; the technical bottlenecks of large semantic gap, non-visual interaction and low automation degree in the traditional parametric design are fundamentally solved.

The application discloses a kind of based on multi-condition weighted fusion and block control's building rendering generation method, 1, customized model training;2, preliminary generation rough rendering A;3, global prompt extraction and calibration, obtain global prompt P1;4, style condition modeling: using the Redux model of Flux obtains style condition vector C3;5, image enlargement obtains high-resolution image B;6, image block and block prompt acquisition, obtain block prompt set P2;7, condition fusion;8, geometric control preprocessing, for constraint geometry in the process of block generation;9, block refinement generation, realize the high-resolution block diagram of detail rich, geometric accuracy;10, block merging and consistency repair, obtain final building rendering.The present application solves the problems of existing generation resolution limitation, building geometric structure distortion, global and local prompt inconsistency, style drift, obvious block splicing trace and lack of engineering parameter interval.

Active geometry control suspension, featuring: a first link (30) having a first side connected to a wheel carrier (2) engaged with a wheel (1) and a second side extending along a width direction of a vehicle, a second link (40) which has a first side connected to the wheel carrier (2) and a second side extending in the width direction of the vehicle, a connecting lever (70), and an actuator (80) connected to the connecting lever (70), the active geometry control suspension further features: a first lever (50) which has a first side connected to the second side of the first handlebar (30), and a second lever (60) which has a first side connected to the second side of the second handlebar (40), the connecting lever (70) connects the second side of the first lever (50) and the second side of the second lever (60), and wherein the second lever (60) is configured to adjust the track of the wheel (1), characterized by the fact that the first lever (50) is configured to adjust the camber of the wheel (1), the second lever (60) has: a third lever (61) which has a first side connected to the connecting lever (70), and a fourth lever (62) which has a first side connected to the second handlebar (40), the first lever (50) has: a fifth lever (51) which has a first side connected to the connecting lever (70), and a sixth lever (52) which has a first side connected to the first handlebar (30), a length of the first handlebar (30) is formed to be longer than a length of the second handlebar (40), and a length of the sixth lever (52) is formed to be shorter than a length of the fourth lever (62).

The invention provides a turbine blade variable geometry flow field reconstruction and performance optimization method and system, and belongs to the field of variable working condition flow field reconstruction of variable geometry turbines. The problems that an existing neural network agent model is limited to two-dimensional blade profile analysis and is insufficient in performance when dealing with experimental data are solved. The method comprises the steps that geometric control parameters and working condition variables of the turbine bent blade are obtained and normalized, normalized data are input into a bent blade surface physical reconstruction neural network module, and a turbine bent blade surface physical field is reconstructed; reconstructing a turbine bent blade outlet key physical field according to an outlet key physical field neural network module and the reconstructed blade surface physical field; a gradient optimization module is used for calculating overall performance parameters of the reconstructed outlet key physical field, gradient information is obtained through back propagation, geometric control parameters are updated through a moving asymptotic algorithm, and performance optimization of the blade is achieved. The method is mainly used in the field of turbine blade optimization.

The invention discloses an orthodontic arch wire bending automatic calibration system and method based on a U-shaped standard part, and belongs to the field of orthodontic medical instrument manufacturing. According to the method, a U-shaped standard part with a specific geometric topology is adopted, and high-precision calibration is realized through a double-layer geometric leveling process including parallelism and coplanarity adjustment in combination with left and right U-shaped mirror image calibration based on an operator coordinate system. The system supports a factory and user dual-calibration mode, and adopts a database which takes the wire diameter, the material, the U-shaped inner diameter and the bending direction as four-dimensional process identification for parameter management, so that the uniqueness and traceability of a parameter group are ensured. The problem that systematic geometric control over a U-shaped structure is insufficient in the prior art is solved, the bending precision and consistency of the orthodontic arch wire and the long-term stability of equipment are remarkably improved, the parallelism precision and the coplanarity precision are improved by more than 50% through tests, and the bilateral symmetry consistency is improved by about 70%.

This invention provides a data migration method, apparatus, device, and medium for endoscopic stereo matching, relating to the field of data processing technology. The method includes: generating a data transfer method, apparatus, device, and medium for endoscopic stereo matching, comprising pairs of simulated endoscopic images and corresponding geometric ground truth data, wherein the geometric ground truth data includes at least an absolute depth map and a visual control map for geometric constraints; acquiring a lightweight style model, using the simulated endoscopic images as a visual base map, and using the absolute depth map and the visual control map as constraints; inputting the visual base map and constraints into a generation pipeline composed of the lightweight style model and the geometric control network; performing texture style transfer on the visual base map through the lightweight style model; and applying geometric constraints to the generation process according to the constraints through the geometric control network; and outputting a domain-transferred image with realistic texture style and maintaining the geometric structure of the simulated endoscopic images.