Research on Process of Impact and Control with Underwater Autonomous Weapon System

2011 ◽  
Vol 204-210 ◽  
pp. 862-865
Author(s):  
Peng Fei Peng ◽  
Zhong Liu ◽  
Jun Jiang
Keyword(s):  
Numerical Simulation ◽  
Process Model ◽  
Control Method ◽  
Weapon System ◽  
Impact Process ◽  
Concept Model ◽  
Optimization Control ◽  
And Control ◽  
The Impact

The basic composing and functions of underwater autonomous weapon system are analyzed in the paper. With researching on the process of action, the concept model of underwater autonomous weapon system is built up. The impact control method is deeply analyzed on the emphasis, and the model of impact process is put forward. The results of numerical simulation indicate that the impact process model and control method are effectual which can provide reliable theory for farther research on optimization control of system.

Battle Experiments of Naval Air Defense with Discrete Event System-based Mission-level Modeling and Simulations

2011 ◽  
Vol 8 (3) ◽  
pp. 173-187 ◽  
Author(s):  
Jeong Hoon Kim ◽  
Chang Beom Choi ◽  
Tag Gon Kim
Keyword(s):  
Discrete Event ◽  
Weapon System ◽  
Modeling And Simulations ◽  
Air Defense ◽  
Weapon Systems ◽  
Event System ◽  
Level Model ◽  
And Control ◽  
The Military ◽  
The Impact

The modern naval air defense of a fleet is a critical task dictating the equipment, the operation, and the management of the fleet. Military modelers consider that an improved weapon system in naval air defense (i.e. the AEGIS system) is the most critical enabler of defense at the engagement level. However, at the mission execution level, naval air defense is a cooperative endeavor of humans and weapon systems. The weapon system and the command and control (C2) structure of a fleet engage in the situation through human reporting-in and commands, as well as weapon deployments. Hence, this paper models the combination of the human and the weapon systems in naval air defense by covering the C2 hierarchy of the fleet, as well as the weapon systems of warships. After developing this mission-level model, we perform battle experiments with varying parameters in the human and weapon aspects. These battle experiments inform us of the impact of the changes in the human and the weapon systems. For example, the speed of incoming missiles is a critical parameter for a fleet’s survival; yet the decision-making speed is another outstanding parameter, which illustrates that there is more to improve than the weapon system when considering the mission level. This modeling and these experiments provide an example, suggesting a method of combining the human C2 and the weapon systems at the mission level in the military domain.

scholarly journals New Integrated Guidance and Control of Homing Missiles with an Impact Angle against a Ground Target

2018 ◽  
Vol 2018 ◽  
pp. 1-10 ◽  
Author(s):  
Shengjiang Yang ◽  
Jianguo Guo ◽  
Jun Zhou
Keyword(s):  
Control System ◽  
Control Method ◽  
Sliding Mode ◽  
Lyapunov Stability Theory ◽  
Impact Angle ◽  
Guidance And Control ◽  
Ground Target ◽  
Integrated Guidance And Control ◽  
And Control ◽  
The Impact

A new integrated guidance and control (IGC) law is investigated for a homing missile with an impact angle against a ground target. Firstly, a control-oriented model with impact angle error of the IGC system in the pitch plane is formulated by linear coordinate transformation according to the motion kinematics and missile dynamics model. Secondly, an IGC law is proposed to satisfy the impact angle constraint and to improve the rapidity of the guidance and control system by combining the sliding mode control method and nonlinear extended disturbance observer technique. Thirdly, stability of the closed-loop guidance and control system is proven based on the Lyapunov stability theory, and the relationship between the accuracy of the impact angle and the estimate errors of nonlinear disturbances is derived from stability of the sliding mode. Finally, simulation results confirm that the proposed IGC law can improve the performance of the missile guidance and control system against a ground target.

scholarly journals Optimization Control of Cooperative Trajectory towards Dual Arms Based on Time-Varying Constrained Output State

Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-18
Author(s):  
Hui Zhang ◽  
Wenbin Zha ◽  
Xiangrong Xu ◽  
Yongfei Zhu
Keyword(s):  
Genetic Algorithm ◽  
Trajectory Optimization ◽  
Control Method ◽  
Time Varying ◽  
Pd Control ◽  
Output State ◽  
Optimization Control ◽  
The Individual ◽  
The Impact ◽  
Dual Arm

Aiming at the impact and disturbance of dual-arm robots in the process of coordinated transportation, a dual-arm cooperative trajectory optimization control based on time-varying constrained output state is proposed. According to the constraint relationship of the end-effector trajectory of the dual-arm coordinated transportation, the joint space trajectory mathematical model of the dual-arm coordinated transportation was established by using the master-slave construction method. Based on the time impact optimization index of joint trajectory, a multiobjective nonlinear equation is established. Using random probability distribution to extract the interpolation features of nonuniform quintic B-spline trajectory, the feature optimization target is selected, and the Newton numerical algorithm is used for iterative optimization. At the same time, it is combined with an elite retention genetic algorithm to further optimize the target. Based on the disturbance and tracking problem, a PD control method based on time-varying constrained output state is proposed, and the control law is designed. Its convergence is verified by establishing the Lyapunov function equation and asymmetric term. The trajectory optimization results show that the proposed trajectory optimization method can increase the individual diversity and enhance the individual local optimization, thus avoiding the premature impact of the elite retention genetic algorithm. Finally, the proposed control method is simulated on the platform of Gazebo; compared with the traditional PD control method, the results show that the proposed control algorithm has high robustness, and the rationality of the coordinated trajectory control method is verified by the double-arm handling experiment.

Numerical Simulation and Backfilling Materials Research on Coal Spontaneous Combustion of Thick Seam Large-Scale Top-Caving Region in Resources Conformity Coal Mine

2012 ◽  
Vol 524-527 ◽  
pp. 317-320
Author(s):  
Bo Tan ◽  
Yuan Gang Jiang ◽  
Chao Nan He ◽  
Jing Chang ◽  
Ya Qi Luo
Keyword(s):  
Numerical Simulation ◽  
Process Model ◽  
Large Scale ◽  
Spontaneous Combustion ◽  
Combustion Process ◽  
Fire Control ◽  
Coal Spontaneous Combustion ◽  
Thick Seam ◽  
Materials Research ◽  
And Control

This paper aimed at fire control in thick seam large-scale top-carving region. On the basis of coal and oxygen compounding theory, theoretical analysis, numerical simulation and experiment are combined, and a coal spontaneous combustion process model is built according to fluid mechanics and control theory. By studying and testing on top-carving coal spontaneous combustion process, conclusion is drawn that spontaneous combustion area is the largest in partly-closed region, followed by unclosed region. A totally closed baffle leads to the smallest spontaneous combustion area and the smallest possibility of fire. With local materials in a certain condition, new, cheap backfilling materials are developed. Thus provide theoretical basis for study on the forecasting and prevention of thick seam large-scale top-carving coal spontaneous combustion.

scholarly journals Mechanism of Coal Burst and Prevention Practice in Deep Asymmetric Isolated Coal Pillar: A Case Study from YaoQiao Coal Mine

2021 ◽  
Vol 2021 ◽  
pp. 1-19
Author(s):  
Chengchun Xue ◽  
Anye Cao ◽  
Wenhao Guo ◽  
Songwei Wang ◽  
Yaoqi Liu ◽  
...  
Keyword(s):  
Numerical Simulation ◽  
Coal Mine ◽  
Prevention And Control ◽  
High Stress ◽  
Coal Pillar ◽  
Support Pressure ◽  
Mining District ◽  
Coal Pillars ◽  
And Control ◽  
The Impact

Coal pillar bursts continue to be a severe dynamic hazard. Understanding its mechanism is of paramount importance and crucial in preventing and controlling its occurrence. The extreme roadway deformations from the asymmetric isolated coal pillars in the central mining district of YaoQiao Coal Mine have responded with frequent intense tremors, with risky isolated coal pillar bursts. The theoretical analysis, numerical simulation, and field measurements were done to research the impact of spatial overburden structure and stress distribution characteristics on the isolated coal pillar area, aiming to reveal the mechanism of coal pillar burst leading to the practice of prevention and control in the asymmetric isolated coal pillar area. The study shows that the overburden structure of the asymmetric is an asymmetric “T” structure in the strike-profile, and the stress in the coal pillar is mostly asymmetric “saddle-shaped” distribution, with the peak stress in the east side of the coal pillar, and the coal pillar is a “high stress serrated isolated coal pillar.” Numerical simulation results showed that the support pressure in the isolated coal pillar area on the strike profile was asymmetrically “saddle-shaped” distribution. The peak vertical stress in the coal pillar area continued to rise and gradually shifted to the mining district's deep part. As a result, the response of the roadway sides to the dynamic load disturbance was more pronounced. They developed a coal burst prevention and control program of deep-hole blasting in the roof of asymmetrical isolated coal pillar roof and unloading pressure from coal seam borehole. Monitored data confirmed that the stress concentration was influential in the roadway’s surrounding rock in the asymmetric isolated coal pillar area, circumventing coal pillar burst accidents. The research outcomes reference the prevention and control of coal bursts at isolated working faces of coal pillars under similar conditions.

scholarly journals COVID-19 Vigilance: Towards Better Risk Assessment and Communication During the Next Wave

2021 ◽  
Author(s):  
Petra Fic Žagar ◽  
Tina Bregant ◽  
Matjaž Perc ◽  
Anja Goričan ◽  
Aleks Jakulin ◽  
...  
Keyword(s):  
Risk Assessment ◽  
Scientific Method ◽  
Process Model ◽  
Medical Problem ◽  
Monitoring And Control ◽  
Monitoring And Control System ◽  
Medical Issues ◽  
Data Driven Approach ◽  
And Control ◽  
The Impact

Since December 2019, SARS-CoV-2 infections have altered many aspects of our societies. Citizens were faced with circumstances to which even experts and scientists did not yet know the answers and were applying the scientific method to make daily steps of progress towards better understanding the threat and how to contain it. Within a year, several vaccines were produced to protect individuals from the virus, thereby resolving the most important medical problem. However, not just medical issues call for the application of the scientific method. The management of epidemics also can, and in fact should, benefit significantly from a science-based approach. The novel complexity of the situation left us torn between permissive and authoritarian approaches of containment, and it is still subject to debate what works best and why. In our contribution, we model the emerging complexity of the epidemics and propose a scientific-based data driven approach that aims to aid the decision makers in their focus on the most relevant issues and thus helping them to make informed and consistent decisions. The resulting monitoring and control system, termed COVID-19 vigilance, helps with risk assessment and communication during regional COVID-19 outbreaks. The system is based on the Cynefin decision complexity framework and the universal process model, and it uses several mathematical models that describe epidemic spreading. Different future scenarios are used to predict the impact of realistic, optimistic, and pessimistic outcomes, in turn allowing for a more efficient communication of involved risk.

scholarly journals Magnetic Levitation – Modelling, Identification and Open Loop Verification

2020 ◽  
Vol 8 (1) ◽  
pp. 13-16 ◽  
Author(s):  
Daniel Honc ◽  
Eleonora Riva Sanseverino
Keyword(s):  
Process Model ◽  
Control Method ◽  
Magnetic Levitation ◽  
Simulated Data ◽  
Open Loop ◽  
Model Quality ◽  
Unknown Parameters ◽  
Advanced Control ◽  
The Difference ◽  
And Control

<p>The paper describes a procedure using the first principle modelling and experimental identification of the Magnetic Levitation Model CE 152. It is a modified version of the paper [1]. The difference is that the identification and verification is done in open loop and constraints logic is added in the current paper. The author optimized and simplified dynamic model to a minimum to what is needed to characterize given system for the simulation and control design purposes. Only few open-loop experiments are needed to estimate the unknown parameters. Model quality is verified in open loop where the real and simulated data are compared. The model can serve as a simulation model for some standard control algorithms or as a process model for advanced control method design.</p>

scholarly journals Analysis of COVID-19 Prevention and Control Effects Based on the SEITRD Dynamic Model and Wuhan Epidemic Statistics

2020 ◽  
Vol 17 (24) ◽  
pp. 9309
Author(s):  
Yusheng Zhang ◽  
Liang Li ◽  
Yuewen Jiang ◽  
Biqing Huang
Keyword(s):  
Dynamic Model ◽  
Control Method ◽  
Control Strategies ◽  
Dynamical Behavior ◽  
Model Parameters ◽  
Time Control ◽  
Intervention Measures ◽  
Travel Restrictions ◽  
And Control ◽  
The Impact

Since December 2019, millions of people worldwide have been diagnosed with COVID-19, which has caused enormous losses. Given that there are currently no effective treatment or prevention drugs, most countries and regions mainly rely on quarantine and travel restrictions to prevent the spread of the epidemic. How to find proper prevention and treatment methods has been a hot topic of discussion. The key to the problem is to understand when these intervention measures are the best strategies for disease control and how they might affect disease dynamics. In this paper, we build a transmission dynamic model in combination with the transmission characteristics of COVID-19. We thoroughly study the dynamical behavior of the model and analyze how to determine the relevant parameters, and how the parameters influence the transmission process. Furthermore, we subsequently compare the impact of different control strategies on the epidemic, the variables include intervention time, control duration, control intensity, and other model parameters. Finally, we can find a better control method by comparing the results under different schemes and choose the proper preventive control strategy according to the actual epidemic stage and control objectives.

Study of the Impact Toughness Experiment of SiCp/Al FGM and Numerical Simulation

2012 ◽  
Vol 268-270 ◽  
pp. 134-137
Author(s):  
Jin Li ◽  
Liang Yi Li ◽  
Zheng Yuan
Keyword(s):  
Numerical Simulation ◽  
Silicon Carbide ◽  
Impact Toughness ◽  
Cold Isostatic Pressing ◽  
Experimental Results ◽  
Gradient Materials ◽  
Impact Process ◽  
Simulation Results ◽  
Microstructure Density ◽  
The Impact

This paper by cold isostatic pressing and sintering of combining the method of preparation of silicon carbide enhance aluminum functional gradient materials, and the microstructure, density, impact toughness are analyzed, the results of experiments showed that in the aluminum gradient to join in the silicon carbide enhance particles, The impact toughness of the material has been obviously improved. Using ANSYS Numerical simulation Impact process, the simulation results anastomosis with the experimental results.

scholarly journals Chaos and Control of Game Model Based on Heterogeneous Expectations in Electric Power Triopoly

2009 ◽  
Vol 2009 ◽  
pp. 1-8 ◽  
Author(s):  
Weizhuo Ji
Keyword(s):  
Numerical Simulation ◽  
Theoretical Analysis ◽  
Electric Power ◽  
Chaos Control ◽  
Control Method ◽  
Repeated Game ◽  
Game Model ◽  
Heterogeneous Expectations ◽  
Straight Line ◽  
And Control

A dynamic repeated game model has been established based on heterogeneous expectations in electric power triopoly. Theoretical analysis and numerical simulation show the complexity of this model; suppose that the producers make decisions with naive expectation and bounded rationality. The straight-line stabilization chaos control method was successfully applied to the dynamic repeated game model. The results have important practical value for the producers in the electric power oligopoly.

Sign in / Sign up

Export Citation Format

Share Document