13 results about "Mathematical simulation" patented technology

According to the real-time path planning method for the arm end mechanism of the humanoid robot, all joints of the mechanical arm of the humanoid robot can be controlled to rotate through path planning, and therefore the purpose that the end executing mechanism of the humanoid robot reaches the designated position is accurately achieved. According to the algorithm, a target point which a robot end execution mechanism needs to reach, an iteration stopping distance and a stopping number in iteration are determined according to engineering requirements, the L2 norm of a target position posture and a current position posture error is minimized through a Newton-Euler method, and the optimal position at the next moment and the corresponding iteration joint angle are solved. And through repeated iterative calculation, the tail-section executing mechanism of the mechanical arm can reach the target point accurately finally. The target passes mathematical simulation verification, and finally, when the tail end of the mechanical arm reaches the target point through planning, the position error reaches the order of magnitude of 1e-10m, and the high-precision planning effect is displayed. The algorithm planning precision is high, and the method has a good application prospect.

The invention specifically discloses a relative orbit dynamics multi-dimensional ground simulation method using a ducted fan, and relates to the technical field of spacecraft ground simulation. According to the method, a ducted fan compensation platform is designed, the ducted fan compensation platform comprises a ducted fan, a main structure frame and a fan driving unit, the ducted fan compensation platform is integrally fixed to the air floatation simulator, and the method comprises the specific steps that a target spacecraft reference coordinate system and a simulator body coordinate system are established, and a space-time scaling model is determined; a simulator pose is obtained in real time through a pose measurement system; starting a jet system to generate relative displacement, and inversely calculating an actual space relative distance and a nonlinear acceleration by combining a C-W equation and a space-time scaling model; the ducted fan is controlled to provide xoy plane nonlinear compensation force, and z-axis direction compensation force is calculated through mathematical simulation coupling. The problem that a traditional air floating platform cannot simulate the dynamic characteristics and multi-dimensional motion of a spacecraft orbit is solved, and the precision of a spacecraft ground simulation test is remarkably improved.

The application discloses a consciousness numerical simulation driven digital human interaction system and method based on quantum computing characteristics, and relates to the fields of quantum artificial intelligence and digital human interaction.The system comprises a quantum computing processing module, a consciousness numerical generation module, a multi-modal linkage control module and an industrial-grade service support module; high-dimensional quantum characteristics are extracted through parameterized quantum circuits to calculate and generate consciousness strength values simulated purely by mathematics; the consciousness strength values drive 3D digital human animation, speech synthesis and dialogue strategies in real time to realize dynamic, continuous and autonomously evolving interactive performance.The application does not generate real consciousness and has no ethical risks, and at the same time, has high-availability industrial-grade capabilities such as distributed caching, data persistence, user authentication, order payment and background autonomous training, and can be directly commercialized and deployed.The application solves the technical problems of single performance of traditional digital humans and difficulty in engineering and landing of quantum AI, and is suitable for virtual digital humans, intelligent interaction, commercial display and enterprise-level service scenarios.

The invention discloses a numerical simulation-based mine pit water inflow prediction method, which comprises the following steps of: firstly, constructing a hydrogeological conceptual model of a research area, and determining the range and boundary conditions of the research area, a hydrogeological structure, hydrogeological parameters and groundwater supply and drainage items; establishing a three-dimensional unsteady flow underground water flow numerical model by adopting underground water simulation software GMS, carrying out space-time discrete processing on the model, and configuring initial conditions at the same time; performing parameter identification and effect verification on the underground water flow numerical model by using field water pumping test data and hydrogeological parameters, so that a model calculation result is consistent with an actual hydrogeological condition; and finally, based on the verified underground water flow numerical model, calculating and outputting a mine pit water inflow prediction result. According to the method, the water inflow of the mining area is predicted through the software program GMS applied to underground water flow mathematical simulation, and then guarantee is provided for safe production of the mining area.

The invention particularly relates to an integral event-triggered hovering control method for an underwater vehicle, which comprises the following steps of: defining a coordinate system required by modeling, defining a state variable and control input, and performing reasonable assumption simplification according to characteristics of hovering maneuver; establishing four-degree-of-freedom dynamics and kinematics equations for hovering in a vertical plane; defining a nominal system for AUV hovering, and designing an optimization problem and a cost function of MPC; an integral type event triggering mechanism is introduced, and specific integral type event triggering conditions are designed; analyzing the upper and lower bounds of the trigger time of the designed trigger condition, and proving; and the performance of the designed controller is verified through mathematical simulation. According to the method, consumption of computing resources during hovering control of the AUV can be reduced, so that stable hovering control is realized while the state constraint of the AUV and the mixed integer constraint of the VBS are met.

The application discloses a kind of shallow natural gas displacement mathematical simulation methods, comprising the following steps: establishing shallow natural gas displacement mathematical model, shallow natural gas displacement mathematical model is imported into COMSOL Multiphysics software and is carried out shallow natural gas displacement parameter processing and setting solution condition of solution process, the parameters of different influencing factors are designed as variable design multiple groups of simulation schemes, according to the research content and characteristics of shallow natural gas, based on COMSOL Multiphysics software, each simulation scheme is solved by selecting research mode and solver, and result analysis is carried out.The application is based on mathematical model, using COMSOL Multiphysics multi-physical field coupling software, simulates the whole process of non-coal formation shallow natural gas displacement evolution, analyzes the influence range, displacement time and other performance parameters of shallow natural gas displacement, and the factors such as pumping negative pressure, gas injection pressure, formation permeability, borehole diameter, displacement horizon depth, which may affect displacement performance.

The application discloses an active power distribution network fault discrimination method and device and a storage medium, and relates to the technical field of electric power. The application comprises the following steps: acquiring the topological structure, system parameters, converter position and fault ride-through control strategy of an active power distribution network, building a mathematical simulation model, acquiring existing fault data and correcting the parameters of the mathematical simulation model; acquiring the transient current data of the converter and the system under fault state and non-fault state under different fault ride-through controls, and constructing the correlation relationship between the transient current peak value, trigger time, distortion rate and the power distribution network fault and fault type; learning the transient current data by using a deep feedforward neural network, and establishing a fault discrimination model; acquiring real-time operation data, inputting the real-time operation data into the fault discrimination model, and obtaining the fault discrimination diagnosis result of the active power distribution network. The application can improve the fault discrimination accuracy, and provides a feasible technical solution for realizing the fault diagnosis of the power distribution network under the background of high-proportion distributed power access.

The invention provides an all-electric propulsion satellite attitude and orbit combined control stability analysis method, which comprises the following steps: S1, establishing an all-electric propulsion satellite attitude and orbit dynamic model, and setting model parameters; s2, carrying out dynamics mathematical simulation by utilizing the established dynamics model, calculating an all-electric propulsion satellite orbital transfer ignition attitude yaw angle and orbital transfer point orbital parameters, determining whether a satellite gain margin and a nonlinear margin meet requirements or not, and returning to S1 to modify the attitude and orbital dynamics model or modify the model parameters if the satellite gain margin and the nonlinear margin do not meet the requirements of the margins; s3 is executed after the margin requirement is met; s3, a vibration environment characteristic model is introduced into the full-electric propulsion satellite control loop, short-time impact vibration characteristics and long-time vibration disturbance characteristics are considered, dynamic mathematical simulation is carried out again based on the simulation result of the S2, vibration characteristic factor transmission and influence analysis is carried out, the influences of different vibration sources on the satellite attitude and orbit control loop are obtained, and the satellite attitude and orbit control loop is obtained. And the stability margin of the full-electric propulsion satellite control loop is analyzed, and adaptive analysis results of the satellite to different vibration sources are given.

The invention particularly relates to an underwater vehicle self-triggering model prediction hovering control method, which comprises the following steps of: according to hovering motion characteristics of an AUV (Autonomous Underwater Vehicle), reasonably assuming and simplifying an AUV hovering model; according to hypothesis and simplification, establishing four-degree-of-freedom dynamics and kinematics equations in a vertical plane; analyzing the characteristics and actual constraints of the VBS according to the working requirements of the AUV on the VBS; according to the layout of the VBS on the AUV, force and torque changes caused by modeling water injection and drainage to the AUV are analyzed; designing an online minimization cost function and an optimization control problem required by the MPC, and designing an MPC controller of nonlinear mixed integer programming; designing a self-triggering mechanism, and calculating a next triggering moment and a prediction time domain according to the current state of the AUV; and the performance of the designed controller is verified through mathematical simulation. According to the method, the dynamic constraint of the VBS executing mechanism and the state constraint of the AUV are considered, the stable hovering control problem under switch input is solved, a self-triggering mechanism is introduced, and the optimal calculation burden of MPC is reduced.

An additive manufacturing system may include an additive manufacturing device and a process map generation system. The process map generation system may generate an operational process map responsive to mathematical simulations of an additive manufacturing device, cause the additive manufacturing device to print a plurality of test structures responsive to the operational process map, detect one or more defects in each of the plurality of test structures, automatically update the operational process map responsive to the defects, and modify one or more operating parameters of the additive manufacturing device responsive to the updated operational process map.

The invention discloses an existing building zero-carbon transformation effectiveness digital intelligence prediction system and method, and relates to the technical field of existing building transformation optimization. The system comprises an information acquisition module which is used for acquiring and storing building model information and time sequence data associated with prediction of zero-carbon transformation effectiveness; the processing and analyzing module is used for processing, mining and fusing multi-source heterogeneous data and then accounting the full-aperture energy consumption active carbon emission; the scheme optimization module is used for formulating an existing building zero-carbon transformation strategy and iterating parameters and algorithms associated with effectiveness prediction; and the evaluation and prediction module is used for evaluating the carbon reduction efficiency of the transformation strategy and predicting the annual energy consumption activity total carbon emission after optimization. According to the method, the zero-carbon transformation effectiveness of the existing building is rapidly predicted by comprehensively applying multiple digital intelligence technologies, the rapid prediction model is established by coupling finite measured data through mathematical simulation, the livable operation carbon footprint distribution of the existing building is checked, and the prediction result is closer to the actual operation effect.

The application relates to the technical field of space mechanical refrigerator control, and provides an automatic intelligent optimization method for active temperature control simulation of a mechanical refrigerator. The electromagnetic simulation software, the mathematical simulation software and the multidisciplinary optimization software are organically combined to construct a multi-physical-domain joint simulation accelerated operation and automatic control optimization method suitable for an active temperature control system of a mechanical refrigerator. The method forms a complete set of intelligent workflow of multidisciplinary integration, has the characteristics of one-time deployment and reusability, and effectively improves the efficiency and convenience of system design, verification and optimization. Through the automatic optimization process, the application can obtain key optimal control parameters, provides a quick optimization and correction direction for subsequent software design of a control algorithm, and thus significantly improves the overall performance and engineering application value of the temperature control system of the mechanical refrigerator.