A5090901608- Gas Dynamics and Kinetic Theory
- Plasma Diagnostics and Applications
- Electrohydrodynamics and Fluid Dynamics
- Spacecraft and Cryogenic Technologies
- Nuclear reactor physics and engineering
- Computational Fluid Dynamics and Aerodynamics
- Planetary Science and Exploration
- Fluid Dynamics and Heat Transfer
- Atomic and Molecular Physics
- Robotic Path Planning Algorithms
- Magnetic confinement fusion research
- Nuclear Engineering Thermal-Hydraulics
- Fault Detection and Control Systems
- Particle accelerators and beam dynamics
- Radiation Effects in Electronics
- Stability and Control of Uncertain Systems
- Rocket and propulsion systems research
- Robotics and Sensor-Based Localization
- Radiative Heat Transfer Studies
- Model Reduction and Neural Networks
- Ion-surface interactions and analysis
- Image and Object Detection Techniques
- Adaptive Control of Nonlinear Systems
- Aerodynamics and Fluid Dynamics Research
- Quantum, superfluid, helium dynamics
Beihang University
2018-2024
Abstract The Vlasov–Poisson equation is one of the most fundamental models in plasma physics. It has been widely used areas such as confined plasmas thermonuclear research and space planetary magnetospheres. In this study, we explore feasibility physics-informed neural networks for solving forward inverse (PINN-Vlasov). PINN-Vlasov method employs a multilayer perceptron (MLP) to represent solution equation. training dataset comprises randomly sampled time, space, velocity coordinates...
The vacuum plume phenomenon encountered during lunar exploration missions poses significant challenges, such as impingement forces, heat fluxes, and spacecraft contamination. Numerical simulation represents the predominant method for evaluating impacts of plumes. However, conventional direct Monte Carlo (DSMC) method, despite being standard, is notably time-consuming impractical real-time analysis. Addressing this limitation, our research explores deep learning, specifically convolutional...
A momentum flux measuring instrument (MFMI), which ranges from 1 mN∼300 N, is designed to measure the parameters related of exhaust plume attitude and orbit control thrusters covered electric chemical thrusters. MFMI with variable-range provides an efficient economy way study both The flexural pivots, replaceable strain gauge, target plate, force arm variable length make it possible. non-displacement measurement can reduce influence pipelines test lines, especially elastic friction due...
Effects from ion thruster plume have long raised concerns. However, little work has systematically analyzed the influencing parameters in simulation. This paper analyzes LIPS 200 simulations about parameters. The numerical are carried out by a hybrid particle-in-cell (PIC) method and direct simulation Monte Carlo (DSMC) method. PIC is employed for plasma dynamics, DSMC used collisions. Simulation results were compared detail to obtain variation of with Besides, experimental data optimize...
Abstract Electric propulsion systems, such as ion thrusters and Hall thrusters, are widely utilized in aerospace. The target indirect measurement method (TIMM) is a simple robust way to measure its thrust. In general, one can obtain the thrust by scaling up force exerted on surface immersed plume flow. However, charge exchange (CEX) allows ions become neutral particles, increasing coefficient. Meanwhile, sputtered atoms reflected incident particles exert enlarge measured this study, effects...
In space missions, the vacuum plume generated by rocket engines can negatively impact spacecraft. Therefore, researching is crucial to guarantee regular operation of The conventional numerical simulation methodology, direct Monte Carlo (DSMC) method, time-consuming and lacks real-time calculation capabilities. Recently, deep learning (DL) methods have emerged in field fluid dynamics. this study, a DL model trained convolutional neural network with multiple decoders introduced predict flow...
In this paper, an improved discrete sliding mode control (SMC) is investigated for a hypersonic vehicle (HV) cruise system under packet dropouts. Packet dropouts are common faults in networked systems (NCS) of HV. The controller designed consist SMC and state feedback compensator. compensator based on the HV asynchronous dynamic model Lyapunov theory to restrain influence data dropouts, improve tracking performance anti-fault robustness. Set with as augmentation system. A established achieve...
In order to solve the problem that manipulators can only move in a fixed trajectory common industrial production at present, we propose monocular visual positioning method based on artificial beacons, combining position technology with movement of complete reliable path planning manipulators. When it comes practicability, traditional point pair-matching is equipped robust factors, increase reliability. We adopt linear predict algorithm and ROI (region interest) solving PnP...