scholarly journals A Safety Prediction System for Lunar Orbit Rendezvous and Docking Mission

Algorithms ◽  
2021 ◽  
Vol 14 (6) ◽  
pp. 188
Author(s):  
Dan Yu ◽  
Peng Liu ◽  
Dezhi Qiao ◽  
Xianglong Tang
Keyword(s):  
Knowledge Base ◽  
Flight Control ◽  
Physical Simulation ◽  
Lunar Orbit ◽  
Prediction System ◽  
Test Environment ◽  
Surveillance Camera ◽  
Rule Knowledge ◽  
Safety Rule ◽  
Rendezvous And Docking

In view of the characteristics of the guidance, navigation and control (GNC) system of the lunar orbit rendezvous and docking (RVD), we design an auxiliary safety prediction system based on the human–machine collaboration framework. The system contains two parts, including the construction of the rendezvous and docking safety rule knowledge base by the use of machine learning methods, and the prediction of safety by the use of the base. First, in the ground semi-physical simulation test environment, feature extraction and matching are performed on the images taken by the navigation surveillance camera. Then, the matched features and the rendezvous and docking deviation are used to form training sample pairs, which are further used to construct the safety rule knowledge base by using the decision tree method. Finally, the safety rule knowledge base is used to predict the safety of the subsequent process of the rendezvous and docking based on the current images taken by the surveillance camera, and the probability of success is obtained. Semi-physical experiments on the ground show that the system can improve the level of intelligence in the flight control process and effectively assist ground flight controllers in data monitoring and mission decision-making.

scholarly journals Design and Implementation of Communication Scheme between Ethernet and Multi-Serial Port

2018 ◽  
Vol 220 ◽  
pp. 10003
Author(s):  
Xin He ◽  
Jia’nan Wu ◽  
Hongde Deng ◽  
Zean Zhen ◽  
Chenyang Liu
Keyword(s):  
Flight Control ◽  
Physical Simulation ◽  
Serial Port ◽  
Flight Control System ◽  
Paper Briefly ◽  
Aerospace Technology ◽  
Communication Scheme ◽  
Time Requirements ◽  
Aerial Vehicle ◽  
Ethernet Controller

With the development of aerospace technology, the flight control system is getting more and more important for a UAV (Unmanned Aerial Vehicle) flying safely and efficiently. For collecting the experimental data without delay, this paper briefly reviews the design of the communication scheme, and provides the implemented results. Through using the controller LPC1768 to expand the serial port, and the Ethernet controller DP83848 to complete the communication by UDP protocol, it turns out that this method is able to reach the real-time requirements of the UAV semi-physical simulation.

Virtual Training Environment for a 3-Axis CNC Milling Machine

2005 ◽  
Author(s):  
Tamer M. Wasfy ◽  
Ayman M. Wasfy ◽  
Hazim El-Mounayri ◽  
Daniel Aw
Keyword(s):  
Knowledge Base ◽  
Physical Simulation ◽  
Milling Machine ◽  
Cnc Milling ◽  
Training Environment ◽  
Virtual Training ◽  
Safe Environment ◽  
Cnc Milling Machine ◽  
The Cost ◽  
Semi Empirical

A virtual training environment for a 3-axis CNC milling machine is presented. The key elements of the environment are: (a) textured 3D photo-realistic virtual models of the machines and lab; (b) machine simulator for the machines’ controls and moving parts; (c) semi-empirical model of the machining operation; (d) hierarchical knowledge-base for process training; (e) unstructured knowledge-base for lecture delivery; (f) natural-language human-like intelligent virtual tutors. Applications of the AVML include: training students to operate manufacturing machines in a safe environment, allowing students and researchers to view and interact with highly accurate physical simulation of manufacturing machines, and optimization of the manufacturing process plan by testing various plans on the virtual machine before actual machining. The virtual training environment will significantly reduce the cost and increase the accessibility and safety of advanced manufacturing training.

Application and Research of Instruction Serialization Technology in the Simulation Test System

2014 ◽  
Vol 1049-1050 ◽  
pp. 2049-2053
Author(s):  
Ai Rong Yu ◽  
Jun Wang ◽  
Xu Guang Ye ◽  
Guo You Chen
Keyword(s):  
Electromagnetic Interference ◽  
Physical Simulation ◽  
Control Process ◽  
Test System ◽  
Management Control ◽  
Simulation Test ◽  
Test Environment ◽  
Device Management ◽  
Object State ◽  
Interference Test

The process of converting a data structure or object state into a storable format is referred to as serialization. For the simulation of complex electromagnetic interference test environment, to evaluate the ability of the communication system, based on the semi physical simulation test environment, this paper presents a kind of instruction serialization mode based on TCP protocol as the data transmission and control scheme of multi device control, design and implementation of various types of equipment centralized monitoring framework for the realization of all kinds of network communications equipment and status data centralized testing and monitoring purposes, to achieve a data device management control process is accurate, real-time transmission.

Automatic flight control design considering objective and subjective risks during carrier landing

2019 ◽  
Vol 234 (4) ◽  
pp. 446-461
Author(s):  
Lipeng Wang ◽  
Zhi Zhang ◽  
Qidan Zhu
Keyword(s):  
Flight Control ◽  
Control Algorithm ◽  
Physical Simulation ◽  
Mathematic Model ◽  
The State ◽  
Control Law ◽  
System Control ◽  
Time Varying ◽  
Objective Risk ◽  
Subjective Risk

In this article, a design scheme of automatic carrier landing system control law based on combination of the objective risk and the subjective risk is proposed, in order to improve the safety and flying quality of the landing. The nonlinear longitudinal mathematical model is constructed in the air wake turbulence condition during carrier landing, which is transformed into a linear perturbed model by the state-space equations with deviation state variables. The concepts of the objective risk and the subjective risk in the recovery of an aircraft aboard a carrier are addressed. A principle of predicting the future states based on the current ones is put forward so that a mathematic model for the objective risk is established, synthetically considering the current and future landing state deviations. For the other risk, the corresponding model is obtained by the subjective experiences of the pilots in the flight simulation tests. Furthermore, a novel model predictive control algorithm, which contains the additional subjective risk and the time-varying weights of the state terms, is proposed. Automatic carrier landing control law is built by introducing the objective risk, the subjective risk, and the effect of carrier air wake disturbance. In the rolling optimization progress, these time-varying weights are dynamically tuned according to the constantly changing objective risk to control the state deviations and suppress this risk, while the subjective risk is handled by the additional risk terms. Besides, the action of carrier air wake disturbance is considered and compensated in the derivation of the linear matrix inequalities. Test results based on a semi-physical simulation platform indicate that the new automatic carrier landing system control algorithm proposed by this article brings about an excellent carrier landing performance as well as an improved flying quality.

Shared Control of Teleoperation Rendezvous and Docking in Lunar Orbit

2016 ◽  
Vol 29 (6) ◽  
pp. 04016043 ◽  
Author(s):  
Ya-Kun Zhang ◽  
Jian-Ping Zhou ◽  
Hai-Yang Li ◽  
Tao Li ◽  
Rui-Xue Huang
Keyword(s):  
Lunar Orbit ◽  
Shared Control ◽  
Rendezvous And Docking

scholarly journals A Study on UAV Flight Control System HILS Test Environment

2016 ◽  
Vol 44 (4) ◽  
pp. 316-323
Author(s):  
Jinku Byun ◽  
Gi-Bong Hur ◽  
KwangHyun Lee ◽  
Jinyoung Suk
Keyword(s):  
Control System ◽  
Flight Control ◽  
Flight Control System ◽  
Test Environment

scholarly journals Design for intelligent prediction system of oilfield development index based on pattern recognition

Filomat ◽  
2018 ◽  
Vol 32 (5) ◽  
pp. 1757-1764
Author(s):  
Yihua Zhong ◽  
Xiaodie Lv ◽  
Min Bao ◽  
Lina Li ◽  
Yan Yang
Keyword(s):  
Pattern Recognition ◽  
Knowledge Base ◽  
Oil Field ◽  
Computer Interface ◽  
Prediction System ◽  
Human Computer Interface ◽  
Optimal Prediction ◽  
Recognition Method ◽  
Inference Problem ◽  
Oilfield Development

In order to realize Digital Oil Field, some key problems need to be improved, esp. accurate and automatic prediction of oilfield development indexes which may be resolved by designing of intelligent prediction system. With the shortcoming of inference of system designed by us, automatic inference problem for a complicated intelligent prediction system was improved using pattern recognition method. First, intelligent prediction system and the methods as well as principles of pattern recognition were introduced. Then the framework of intelligent prediction system based on pattern recognition was formulated by using technologies and methods of human-computer interface, fuzzy processing and pattern recognition. Secondly, the knowledge base was extended as augmented knowledge base with introducing credibility to measure uncertainty of knowledge. Particularly, the methods and principles of pattern recognition were used to design two recognizers and one inferring machine. Moreover, the method of selecting predictive model based on reasoning of pattern recognition was presented by coupling them and intelligent prediction system. Finally, the design of improving intelligent prediction system of oilfield development indexes was simulated. Simulation result shows that improved system may automatically realize to select optimal prediction model by computer according to different reservoirs and different development stages. The results obtained in this thesis will helpful to design for intelligent prediction system.

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