9 results about "Eulerian lagrangian" patented technology

The application relates to the technical field of automatic control, in particular to an anti-interference control method and system for an Euler-Lagrange system containing unknown interference, the method comprising the following steps: establishing an Euler-Lagrange dynamics model containing unknown interference and model uncertainty, unifying the unknown interference and the model uncertainty into a bounded and differentiable lumped disturbance term, constructing a preset time disturbance observer to perform specified time estimation on the lumped disturbance term; defining a system tracking error, designing a non-singular preset time synchronous sliding mode surface fused with a time-varying scaling function; and based on the output value of the preset time disturbance observer and the non-singular preset time synchronous sliding mode surface, designing a preset time synchronous controller with disturbance feedforward compensation. Under the premise of considering unknown interference and system uncertain dynamics, the system interference and uncertainty can be effectively reconstructed, the anti-interference capability of the system is improved, and vibration suppression and attitude stabilization are realized.

The application belongs to the technical field of motor system control, and discloses a motor feasible task design method based on motor performance parameters and controller structure, which comprises the following steps: first, determining two types of motor performance parameters of the maximum torque and the peak power of the selected motor; second, based on Euler-Lagrange equation, establishing motor dynamics differential equation containing unknown rotational inertia, unknown friction resistance, and describing the characteristics of motor generalized speed; third, designing an adaptive controller to realize speed tracking control and online estimation of unknown rotational inertia, unknown friction resistance and unknown external disturbance; fourth, based on motor performance parameters and adaptive controller structure, establishing task feasibility constraint inequality, and determining motor feasible task in combination with the task load condition. The application can realize the analysis and determination of motor feasible task based on the control strategy and the maximum speed and the maximum torque of the motor without experimental test.

This invention discloses a data-driven method for reconstructing the flow field in a water-fish coupled scenario, relating to the intersection of fluid mechanics and artificial intelligence. The method includes the following steps: using a CFD model to simulate the water-fish coupled flow field under various scenarios, constructing a water-fish coupled flow field dataset; based on the water-fish coupled flow field dataset, constructing dynamic meshes for the fish body and background using a convolutional neural network prediction method via a Lagrangian module; constructing convolutional neural network models for both the fish body and background dynamic meshes; and constructing a rapid flow field reconstruction model based on the convolutional neural network model and the Eulerian-Lagrangian method to accurately predict the water-fish coupled flow field. This invention solves the problems of high cost, low efficiency, low accuracy, and unsuitability for widespread application of traditional flow field numerical simulation methods.

This application provides a numerical simulation method, system, and medium for erosion wear of titanium alloy pumps and valves. The method includes: acquiring the internal flow channel geometric parameters of the titanium alloy pump and valve, and constructing a three-dimensional geometric model of the internal flow channel; performing mesh generation to generate a computational mesh model; setting titanium alloy material property parameters and flow field boundary conditions; analyzing the fluid medium and solid particles inside the pump and valve using the Euler-Lagrange coupling method based on the computational mesh model, titanium alloy material property parameters, and flow field boundary conditions; analyzing the solid particle parameters based on the motion trajectory information of the solid particles in the flow field, calculating the erosion rate data at different locations on the pump and valve wall, and generating an erosion wear distribution cloud map of the pump and valve inner wall; by using the Euler-Lagrange coupling method, the motion characteristics of individual particles and their impact behavior on the wall can be accurately captured, the erosion rate data can be accurately analyzed, and thus the erosion wear of the pump and valve can be accurately analyzed.

This invention discloses a NOx control method for a chain grate rotary kiln based on multi-source fuel utilization. This method, targeting different levels of environmental warnings and ultra-low emission requirements, first establishes a solid fuel combustion characteristic database including anthracite, bituminous coal, and their blends based on industrial analysis, elemental analysis, and thermogravimetric experiments. Simultaneously, it employs CFD numerical simulation technology, coupling an Eulerian-Lagrange multiphase flow model and a P-1 radiation model, to analyze the flow field and NOx formation patterns under pulverized coal and natural gas co-firing conditions. Upon receiving control commands, it calculates the inlet concentration threshold based on the real-time efficiency of the denitrification system, intelligently recommends the optimal fuel ratio using the multi-source database, and outputs corresponding kiln tail temperature, combustion air volume, and raw material structure control parameters. This invention, through a dual approach of "experimentation + simulation," achieves the suppression of fuel-type and thermal NOx formation at the source, meeting differentiated environmental indicators while ensuring stable production.

The application discloses an unmanned ship scheduled time trajectory tracking method based on asymmetric preset performance, which comprises the following steps: S1, a kinematics model and a dynamics model of a three-degree-of-freedom unmanned ship are established based on an Euler-Lagrange method, and the kinematics model and the dynamics model are expressed as a state equation of the unmanned ship system; S2, a system structure with scheduled time convergence characteristics is constructed, and stable convergence of the state of the unmanned ship system within scheduled time is realized; and S3, an asymmetric preset performance function is designed, trajectory tracking errors of the unmanned ship system are constrained, a dynamic evolution process of the errors is limited, and the errors are guaranteed to meet preset performance indexes. The application has the beneficial effects that a novel asymmetric preset performance function is constructed, the dynamic evolution process of system errors can be effectively constrained, the state errors of the system are always kept within preset performance boundaries, and therefore, the stability and control precision of the trajectory tracking process of the unmanned ship are improved.

This invention discloses a multi-hub motor Euler-Lagrange torque dynamic vector distribution system and its control method. The system treats the four hub motors of a distributed drive electric vehicle as a multi-hub motor electromechanical system. The torque distribution system of the multi-hub motor electromechanical system includes an integrated Euler-Lagrange torque controller and a driving assistance system. The method includes: pre-processing modeling of the four hub motors; pre-setting the Euler-Lagrange torque distribution control law; sampling the state variables of the multi-hub motor electromechanical system; determining the desired equilibrium point of the multi-hub motor electromechanical system; calculating the injection of dynamic interconnection coefficients and injection of friction damping coefficients; outputting the optimal given torque by the Euler-Lagrange torque distribution controller; and coordinating the modulation controller and the multi-half-bridge arm group driver to drive each hub motor. This invention can effectively adapt to various complex road conditions and improve the handling stability of distributed drive electric vehicles.

The present application relates to the field of refractory material preparation and industrial automation control, and particularly to a refractory material production optimization system based on big data analysis, comprising a manifold space initialization step: constructing a thermodynamic potential energy manifold data model using raw material characteristic data; a state mapping and positioning step: constructing an observation equation and mapping real-time sintering state data to current state particle coordinates using a damped least squares method; a geodesic solution and control step: solving a second-order Euler-Lagrange differential equation set based on a target energy state position to obtain an optimal geodesic path; and a deviation correction and execution step: generating adaptive control instructions according to the vector deviation of the particle evolution trend and the optimal path to adjust equipment operating parameters; the present application effectively solves the problem of unstable sintering quality caused by raw material fluctuations in traditional production.

This invention discloses a fault detection method and system for Mecanum wheel automated guided vehicles (AGVs), relating to the field of industrial automation fault diagnosis technology. Based on differential inclusion theory and the Euler-Lagrange equations, this invention establishes a Lur'e differential inclusion-type state-space equation characterizing system nonlinearity, parameter uncertainty, and external disturbances. An adaptive event-triggered mechanism with dynamically adjustable parameters and exponentially decaying terms is designed to optimize data transmission, reduce resource consumption, and strictly exclude Zeno behavior. An adaptive event-triggered interval observer is constructed to achieve robust interval estimation of the system state, and actuator fault detection is achieved through the zero-value inclusion property of the residual interval. This invention solves the problem of traditional methods struggling to balance fault detection accuracy and resource utilization, and is suitable for state monitoring and fault diagnosis of Mecanum wheel AGVs in industrial scenarios.