Trajectory Planning Of 6-Dof Manipulator Based On Inverse Multi-Objective Optimization,
2021
1. Hubei Key Laboratory of Mechanical Transmission and Manufacturing Engineering, College of Mechanical Automation, Wuhan University of Science and Technology, Wuhan 430081, China; ;
Trajectory Planning Of 6-Dof Manipulator Based On Inverse Multi-Objective Optimization, Xianyin Duan, Can Zhang, Zerun Zhu, Zhaoyang Sun, Guozhang Jiang, Xiang Feng
Journal of System Simulation
Abstract: In order to optimize the machining quality and production efficiency of manipulator, an inverse multi-objective determination method based on the optimization of manipulator stiffness and global travel is proposed. Establishing the forward kinematics model of manipulator, the inverse kinematics is solved by using behaviour tree. The stiffness performance evaluation index and the mathematical model of total stroke of joint angle are constructed to carry out the inverse solution multi-objective optimization. The 7-5-7 order polynomial joint space interpolation algorithm is designed for the trajectory planning. Compared with the commonly used cubic polynomial programming method, the manipulator trajectory obtained by …
Chaotic Gravitational Search Iterative Identification For Wiener Systems,
2021
Nantong University, Nantong 226019, China;
Chaotic Gravitational Search Iterative Identification For Wiener Systems, Shanling Xu, Junhong Li, Mengru Liu, Hua Liang
Journal of System Simulation
Abstract: The Wiener nonlinear system is composed of a dynamic linear subsystem and a series of nonlinear static subsystems, which is widely used in the fields of automatic control, chemical engineering, electrical and other fields. Considering the identification of the Wiener Output Error Autoregressive (Wiener OEAR) system, a chaotic gravitational search iterative identification algorithm is proposed, in which the chaotic optimization mechanism is introduced into the gravitational search algorithm to estimate the unknown parameters of the Wiener OEAR system and the convergence is proved. In order to show the effectiveness of the proposed identification algorithm, the gravitational search algorithm and …
Multi-Uav Trajectory Planning Simulation Based On Adaptive Extended Potential Field,
2021
School of Information Engineering, Nanchang Hang Kong University, Nanchang 330063, China;
Multi-Uav Trajectory Planning Simulation Based On Adaptive Extended Potential Field, Wang Ning, Jiyang Dai, Ying Jin, Yeding Li, Liangliang Lu
Journal of System Simulation
Abstract: To address the defects of the traditional artificial potential field method, such as unreachable targets, easy to fall into local minimums, inability to avoid obstacles, and lack of trajectory optimization strategies, and to solve the problem of slow planning rate due to more layers in the layered potential field algorithm, the model of the UAV is established, in which the influence factor of the attractive and repulsive force is introduced into the layered potential field function to solve the problem of unreachable targets, and the " auxiliary force" is introduced to solve the problem of easily falling into local …
Simulation On Aviation Maintenance Support System Based On Goal-Driven,
2021
1. Equipment Management and UAV Engineering College, Air Force Engineering University, Xi'an 710051, China; ;
Simulation On Aviation Maintenance Support System Based On Goal-Driven, Jiping Cong, Lijie Cui, Ding Gang, Ren Bo
Journal of System Simulation
Abstract: Aiming at the large investment and long time for optimization in aviation maintenance support model practice, for the first time, based on Netlogo platform, the multi-agent aviation maintenance support simulation system is constructed, which provides a reference to adapt the current support tasks and improve the evaluation efficiency. Selecting the annual mission flight time, echelon status, aircraft intact rate, and mission completion rate as the goal drivers, the simulation on different aviation maintenance support process is carried out, which displays the changes in flight arrangements, aircraft status, personnel, support equipment, etc. The simulation experiment shows that the multi-agent …
Whole Ship Simulation Training Platform Based On Virtual Reality,
2021
Marine Dynamic Simulation and Control Lab, Dalian Maritime University, Dalian 116026, China;
Whole Ship Simulation Training Platform Based On Virtual Reality, Jiawen Sun, Hongxiang Ren, Fangbing Xiao, Xiaobin Jiang
Journal of System Simulation
Abstract: Under the current navigation education mode, it is common that trainees lack the overall navigation knowledge and the operation practice on onboard equipment and instruments. It is necessary to develop a whole ship simulation training platform that is not limited by time and sites. The six-degree freedom mathematical model of ship motion is established by using the separation modeling theory of ship maneuverability. The flexible object simulation technology, the modeling and rendering of ocean wave technology, and the reverse dynamics technology are adopted to realize the ship scene roaming and equipment interaction. The simulation results show that …
Classification Of Flight Delay Based On Nonlinear Weighted Xgboost,
2021
Aeronautics Engineering College, Air Force Engineering University, X'an 710038, China;
Classification Of Flight Delay Based On Nonlinear Weighted Xgboost, Tang Hong, Wang Dong, Song Bo, Wenkui Chu, Linyuan He
Journal of System Simulation
Abstract: Aiming at the classification of flight delay under imbalance data, a novel method based on nonlinear weighted XGBoost (extreme gradient boosting) is proposed. The imbalance of flight delay data and the influence for classification performance caused by the data imbalance are analyzed. A heuristic nonlinear weighting method based on sample proportion is proposed, and the negative log likelihood loss function is optimized. The real flight delay dataset is used to validate the performance of the classification algorithm. The experiment results show that the proposed nonlinear weighted XGBoost algorithm can improve the classification accuracy of flight delay, while ensuing a …
Enhancing Project Based Learning With Unsupervised Learning Of Project Reflections,
2021
Singapore Management University
Enhancing Project Based Learning With Unsupervised Learning Of Project Reflections, Hua Leong Fwa
Research Collection School Of Computing and Information Systems
Natural Language Processing (NLP) is an area of research and application that uses computers to analyze human text. It has seen wide adoption within several industries but few studies have investigated it for use in evaluating the effectiveness of educational interventions and pedagogies. Pedagogies such as Project based learning (PBL) centers on learners solving an authentic problem or challenge which leads to knowledge creation and higher engagement. PBL also lends itself well in plugging the gap between what is taught in classrooms and applying the knowledge gained to the real working environment. In this study, we seek to investigate how …
Molecular Dynamics Simulations Of Self-Assemblies In Nature And Nanotechnology,
2021
CUNY Graduate Center
Molecular Dynamics Simulations Of Self-Assemblies In Nature And Nanotechnology, Phu Khanh Tang
Dissertations, Theses, and Capstone Projects
Nature usually divides complex systems into smaller building blocks specializing in a few tasks since one entity cannot achieve everything. Therefore, self-assembly is a robust tool exploited by Nature to build hierarchical systems that accomplish unique functions. The cell membrane distinguishes itself as an example of Nature’s self-assembly, defining and protecting the cell. By mimicking Nature’s designs using synthetically designed self-assemblies, researchers with advanced nanotechnological comprehension can manipulate these synthetic self-assemblies to improve many aspects of modern medicine and materials science. Understanding the competing underlying molecular interactions in self-assembly is always of interest to the academic scientific community and industry. …
Probing Structure And Energetics Of Proton-Bound Complexes N2…Hco+ And N2h+…Oc Using Computational Chemistry Methods,
2021
Kennesaw State University
Probing Structure And Energetics Of Proton-Bound Complexes N2…Hco+ And N2h+…Oc Using Computational Chemistry Methods, Antonio Barrios, Dalton Boutwell, Onyi Okere, Monique Olocha, Oluwaseun Omodemi, Alexander Toledo, Antonio Barrios
Symposium of Student Scholars
N2…HCO+ and N2H+…OC are predicted to exist in interstellar clouds. These complexes involve HCO+ and N2H+ fragments that are bound to N2 and CO, respectively using hydrogen-bonded interaction. The reason these molecules are important is that the existence of nitrogen can be measured indirectly through ion-molecular complexes studied in this work. The measured vibrational spectra of molecules is an excellent way to characterize and detect molecules. We used B3LYP, MP2, and CCSD(T) computational methods to predict the structure and vibrational frequencies of N2…HCO+ and N …
Theoretical Study On The Isomerization And Detection Of N2h+…Oc Complex In Interstellar Clouds,
2021
Kennesaw State University
Theoretical Study On The Isomerization And Detection Of N2h+…Oc Complex In Interstellar Clouds, Dalton Boutwell, Martina Kaledin
Symposium of Student Scholars
In this study, we characterize N2H+…OC linear complex using Driven Molecular Dynamics (DMD) and Vibrational Self-Consistent Field Theory (VSCF) methods due to its relevance in astrochemistry. A central challenge is the detection of the molecular complex in interstellar media (ISM). Computational chemistry approaches can predict vibrational spectra, hence facilitate prediction of its existence and stability in the ISM. N2H+…OC involves the proton transfer process via hydrogen bonding interaction. Proton motion is highly anharmonic, therefore facing a significant challenge to characterize it accurately. Quantum mechanical variational methods are popular among many theoretical chemists …
Sediqa: Sound Emitting Document Image Quality Assessment In A Reading Aid For The Visually Impaired,
2021
Technological University Dublin
Sediqa: Sound Emitting Document Image Quality Assessment In A Reading Aid For The Visually Impaired, Jane Courtney
Articles
For visually impaired people (VIPs), the ability to convert text to sound can mean a new level of independence or the simple joy of a good book. With significant advances in optical character recognition (OCR) in recent years, a number of reading aids are appearing on the market. These reading aids convert images captured by a camera to text which can then be read aloud. However, all of these reading aids suffer from a key issue—the user must be able to visually target the text and capture an image of sufficient quality for the OCR algorithm to function—no small task …
Research On Hybrid Deployment Strategy And Model For Key Position Air-Defense Based On Multi-Weapon Platforms,
2021
1. School of Astronautics, Northwestern Polytechnical University, Xi'an 710072, China; ;
Research On Hybrid Deployment Strategy And Model For Key Position Air-Defense Based On Multi-Weapon Platforms, Jiaqing Wan, Pengfei Wang, Junlin Tang, Zhang Dong, Xinguo Li
Journal of System Simulation
Abstract: Multi-platform cooperative air-defense is the development direction of air-defense and antimissile warfare, and the hybrid deployment strategy and model are the important research content. Based on the background of key position air-defense research, the deployment strategy, principle and form of multi-platform cooperative air-defense are studied. The operational scenario and operational process of typical air defense are established. The principles, influencing factors and deployment methods of hybrid deployment are studied. A typical hybrid deployment strategy is proposed and a mathematical model is established. It provides support for the multi platform cooperative air defense and key position defense deployment.
Research On Integrated Optimization Approach For Car-Sharing Systems,
2021
Institute of Transportation Engineering, Hohhot 010070, China;
Research On Integrated Optimization Approach For Car-Sharing Systems, Tang Jie, Jinxin Cao
Journal of System Simulation
Abstract: Effective scheduling and routing of employees and vehicles determines the efficiency of car-sharing systems. Aiming at the scheduling of shared cars within one day, with the objective of minimizing the total system costs and personnel costs, a bi-level optimization model for multiple traveling salesman problem with time windows is established. A genetic algorithm with multi-chromosome coding and the optimized complex mutation operator are developed for the problem solution. From the comprehensive computational experiments, it can be concluded that the total numbers of vehicles and employees with the joint routing plans satisfying the order constraints can be obtained in …
Relationship Between Suspension Damping And Stability Of Vehicle Hunting Motion,
2021
1. Ningxia Normal University, School of Physics and Electronic Information Engineering, Guyuan 756000, China; ;
Relationship Between Suspension Damping And Stability Of Vehicle Hunting Motion, Yan Yong, Zeng Jing, Kun Xu, Feiyan Zhao
Journal of System Simulation
Abstract: In order to avoid or restrain the primary hunting stability of rail vehicles, correlation between the primary hunting stability and suspension damping parameters under the damping ratio of 0 and 5% is calculated based on the analysis of suspension parameters on the vehicle modal frequency. The method to improve the stability of vehicle hunting motion by optimizing suspension parameters is obtained. The results show that when selecting different damping ratios to calculate the critical stability, the range of damping parameters varies greatly. The lateral damping parameter in a certain range or a larger vertical damping is beneficial to keep …
Modeling On Anti-Uav System-Of-Systems Combat Ooda Loop Based On Netlogo,
2021
1. The 11th Research Institute of China Electronics Technology Group Corporation, Beijing 100020, China; ;2. CETC Electro-optics Technology Corporation Limited, Beijing 100020, China;
Modeling On Anti-Uav System-Of-Systems Combat Ooda Loop Based On Netlogo, Zhao Zhu, Wang Yi, Ruifeng Fan, Liya Li, Qi Meng
Journal of System Simulation
Abstract: Aiming at the threats from unmanned aerial vehicle (UAV) or swarm, as well as the difficult problems of systems confrontation modeling, overall process design, and operational effectiveness evaluation in anti-UAV system-of-systems, the structure and operational process both of the UAV and anti-UAV systems are analyzed respectively, and the anti-UAV Observe-Orient-Decide-Act (OODA) system-of-systems combat model which based on multi-agent modeling platform NetLogo is proposed. Utilizing the emergence of agent role in this simulation model, the influence exerted by OODA on anti-UAV is studied by the multi-agent simulation. The results show that the OODA loop is one …
The Allocation Of Jamming Resources Based On Double Q-Learning Algorithm,
2021
College of Information and Communication Engineering, Harbin Engineering University, Harbin 150001, China;
The Allocation Of Jamming Resources Based On Double Q-Learning Algorithm, Xingyuan Huang, Yanyi Li
Journal of System Simulation
Abstract: In modern warfare, the multifunctional trend of radars, even multiple radars detecting targets together, enhances the anti-jamming capability of radars. However, the traditional jamming system still follows a fixed jamming strategy, and the real-time performance of decision-making facing large numbers of radars is poor. And the cognitive jamming study is urgent. The concept of reinforcement learning is explained and the difference between Q learning algorithm and double Q learning algorithm is compared. The reinforcement learning algorithm is used to establish a model based on cognitive electronic warfare to realize the allocation of radar jamming strategies. The simulation of the …
Application Of Trust Driven Adaptive Cooperative Control Algorithm,
2021
1. School of Automation, Beijing Information Science & Technology University, Beijing 100192, China; ;
Application Of Trust Driven Adaptive Cooperative Control Algorithm, Xindong Gui, Hongjiang Ji, Lingling Fan, Shida Liu
Journal of System Simulation
Abstract: When a multi-manipulator performs cooperative task, it's end position is difficult to accurately track the target and ensure the consistency influenced by the nonlinear factors such as working environment, assembly condition and system disturbances, resulting in large errors during collaborative work. To solve multi-manipulators position coordinated control problem, a multi-agent based adaptive position coordination control algorithm is proposed by researching on the novel trust mechanism, including adaptive update mechanism of trust value (self-trust and mutual-trust) and Fisher information weighted (covariance) update mechanism. In automated collaborative assembly tasks, the precise consensus positioning of end-effector is achieved with improvements in the …
Simulation Analysis Of Assessment Method For Missile Accuracy,
2021
1. Unit 96744 of the Chinese PLA, Hanzhong 723000, China; ;
Simulation Analysis Of Assessment Method For Missile Accuracy, Shuqing Li, Zhili Zhang, Yumiao Wei, Haitao Wang
Journal of System Simulation
Abstract: The missile accuracy of the falling points is one of the important performance indexes of missile systems, so the assessment method is very important. An improved algorithm for missile accuracy assessment is proposed. Accuracy assessment problem is simplified as a hypothesis check for probability circle, and the accuracy difference coefficients are defined to describe the accuracy difference between the real falling points and the expected situation. Based on the probability circle method, an improved risk assessment method is put forward to balance and minimize producer's risk and consumer's risk. According to sequential check method, this risk assessment …
Co-Simulation Of Parallel Computing Of Disc Temperature Distributed Parameter System Cooling Rate Control,
2021
School of Mechatronics Engineering, Harbin Institute of Technology, Harbin 150001, China;
Co-Simulation Of Parallel Computing Of Disc Temperature Distributed Parameter System Cooling Rate Control, Shengdong Gao, Yu Xin
Journal of System Simulation
Abstract: Aiming at the problem of large number of grids and long computation time in numerical simulation of complex engineering problems, combining the User-defined Function (UDF) parallel computing principle with UDP (User Datagram Protocol) communication in Fluent, the data transfer of the parallel calculation between Fluent and the visual simulation tool (Simulink) is completed by embedding UDF and S function in UDP communication. And the parallel calculation and simulation platform of the disk and billet gas impingement jet quenching is built. The serial and parallel calculation of the same model are carried out, and the comparative analysis of the numerical …
Cloud Model Pid Control Of Pmsm Based On Svm Inverse System,
2021
Marine Electrical Engineering College, Dalian Maritime University, Dalian, 116026, China;
Cloud Model Pid Control Of Pmsm Based On Svm Inverse System, Li Hui, Yun Hao, Hongli Yue
Journal of System Simulation
Abstract: Aiming at the problem of multivariable, nonlinearity and strong coupling of the permanent magnet synchronous motor(PMSM), a strategy of inverse system identification which is independent of precise mathematical model and parameters based on support vector machines(SVM) is proposed. The dynamic decoupling control of PMSM is researched based on multivariable nonlinear control inverse system theory. To deal with direct inverse control open-loop system with poor robustness and inverse modeling error of SVM, a parameter self-tuning PID(Proportional Integral Differential) closed-loop controller based on cloud model rule inference is designed. The simulation results confirm that the cloud model PID control based on …
