检索结果-内蒙古大学图书馆

2016 IEEE PES PowerAfrica Conference, PowerAfrica 2016

作者： Arzani, Ali Arunagirinathan, Paranietharan Jayawardene, Iroshani Venayagamoorthy, Ganesh K. Real-Time Power and Intelligent Systems Laboratory Holcombe Department of Electrical and Computer Engineering Clemson University ClemsonSC29634 United States Eskom Centre of Excellence in HVDC Engineering University of KwaZulu-Natal Durban South Africa

ISBN: (纸本)9781467399814

Recent studies on Power Electronic Interfaces (PEI) demonstrate that enhanced performance of a PEI can be achieved through optimal tuning of its controller parameters. As an example nowadays, voltage source converters (VSC) are extensively utilized as the interface between DC energy sources and the power system. Photovoltaic (PV) inverters have emerged as one of the most indispensable and widely utilized components in smart grid operations. Considering the complexity, costliness, and possible ineffectuality of PEI conventional manual tuning processes, an automated controller self-tuning approach has been proposed through harnessing the capabilities of particle swarm optimization (PSO), a heuristic optimization method. The multi-megawatt solar PV-plant has been connected to a benchmark two-area four-machine power system. The entire system is simulated using a real-time digital simulator (RTDS). The solar PV plant enhanced performance in conjunction to both improved steady-state and dynamic operation of each of its voltage source inverters (PV-VSI) concludes the effectiveness and benefits of the proposed tuning approach. This enables smoother renewable energy integration, reliable delivery of energy at a lower cost, and further reduced carbon footprints worldwide. © 2016 IEEE.

关键词： Controllers

来源：评论

学校读者我要写书评

暂无评论

Secrecy performance analysis of single-input multiple-output generalized-K fading channels

引用

Frontiers of Information Technology and Electronic engineering 2016年第10期17卷 1074-1084页

作者： Lei, Hong-jiang Ansari, Imran Shafique Gao, Chao Guo, Yong-cai Pan, Gao-feng Qaraqe, Khalid A. Chongqing Key Laboratory of Mobile Communications Technology Chongqing University of Posts and Telecommunications Chongqing400065 China MOE Key Laboratory of Optoelectronic Technology and Systems Chongqing University Chongqing400044 China Department of Electrical and Computer Engineering Texas A&M University at Qatar Doha Qatar Chongqing Key Laboratory of Nonlinear Circuits and Intelligent Information Processing Southwest University Chongqing400715 China

In this paper, the transmission of confidential messages through single-input multiple-output (SIMO) independent and identically generalized-K (KG) fading channels is considered, where the eavesdropper overhears the transmission from the transmitter to the receiver. Both the receiver and the eavesdropper are equipped with multiple antennas, and both active and passive eavesdroppings are considered where the channel state information of the eavesdropper’s channel is or is not available at the transmitter. The secrecy performance of SIMO KG systems is investigated. Analytical expressions for secrecy outage probability and average secrecy capacity of SIMO systems are derived via two different methods, in which KG distribution is approximated by the Gamma and mixture Gamma distributions, respectively. Numerical results are presented and verified via the Monte-Carlo simulation. © 2016, Journal of Zhejiang University Science Editorial Office and Springer-Verlag Berlin Heidelberg.

关键词： Fading channels

来源：评论

学校读者我要写书评

暂无评论

Nonsmooth Dynamic Filtering for Mechanical Servo-systems

Nonsmooth Dynamic Filtering for Mechanical Servo-systems

引用

IEEE International Conference on Control and Automation

作者： Yonghong Tan Ruili Dong Yanyan Li Xiang Chen Hong He Department of Electrical Engineering Shanghai Normal University Institute of Robotics and Automatic Information System Tianjin Key Laboratory of Intelligent Robotics Nankai University Department of Electrical and Computer Engineering University of Windsor

ISBN: (纸本)9781509017393

In this paper, a nonsmooth dynamic filtering approach is proposed for stochastic noise filtering of mechanical servo-systems. In this approach, a stochastic nonsmooth state-space model with sandwich structure is developed to describe the nonsmooth dynamic feature of the system in random noisy case. Then, an approach for observability test of the nonsmooth system with sandwich architecture is proposed. Afterwards, a nonsmooth dynamic filtering method motivated by the structure of Kalman filter is proposed for noise suppression. The proposed nonsmooth Kalman filtering method is applied to random noise filtering of a servo-system with dead-zone feature.

关键词： CONTRAST FILTERS Servo systems noise filtering Noise suppression Kalman filters sandwich structures Models, Space Sandwiches

来源：评论

学校读者我要写书评

暂无评论

Optimization Techniques in computer Vision 1

引用

丛书名： Advances in computer Vision and Pattern Recognition

2016年

作者： Mongi A. Abidi Andrei V. Gribok Joonki Paik

来源：评论

学校读者我要写书评

暂无评论

Design considerations for a large quadrotor with moving mass control

Design considerations for a large quadrotor with moving mass...

引用

International Conference on Unmanned Aircraft systems

作者： Tomislav Haus Matko Orsag Stjepan Bogdan the University of Zagreb Faculty of Electrical Engineering and Computing LARICS Laboratory for Robotics and Intelligent Control Systems Unska 3 10000 Zagreb

ISBN: (纸本)9781467393355

In this paper we present our ongoing efforts to build a heavy lift multirotor platform capable of lifting over 50kg of payload. Such a system requires a paradigm shift in the design of the UAV. Therefore we propose using miniature two stroke internal combustion engines to supply the necessary lift and endurance and combine them with a novel control concept based on the variations of the center of gravity (CoG) of the system. In this paper we present a detailed stability and sensitivity analysis of the proposed control scheme and discuss its underlining effect on the construction design parametrization. We present simulation results from a Gazebo based simulator that confirm the results of our mathematical analysis.

关键词： Design considerations large

来源：评论

学校读者我要写书评

暂无评论

Aerial-ground Robotic System for Autonomous Delivery Tasks

Aerial-ground Robotic System for Autonomous Delivery Tasks

引用

IEEE International Conference on robotics and Automation

作者： Barbara Arbanas Antun Ivanovic Marko Car Tomislav Haus Matko Orsag Tamara Petrovic Stjepan Bogdan University of Zagreb Faculty of Electrical Engineering and Computing LARICS Laboratory for Robotics and Intelligent Control Systems Unska 3 10000 Croatia

ISBN: (纸本)9781467380270

In this paper we present a study of a robotic system that consists of an unmanned aerial vehicle equipped with a pair of manipulator arms (MMUAV), and unmanned ground vehicles (UGVs). The envisioned application scenario includes autonomous packet transportation, where MMUAV is used for picking/placing packets, while both MMUAV and UGV can be used for packet transportation, with different energy consumption profiles. We propose a reactive method for decentralized task planning and coordination of robots using hierarchical task decomposition based on TAEMS framework. Our approach takes into account low-level motion-planning aspects of the system as well as high-level mission specification, making this a multi-layered system. For low-level planning we use sampling-based planner combined with obstacle-free trajectory generation. Methods are verified in simulations and on an experimental testbed, using 3D robotics quadcopter and Pioneer 3DX mobile robots with the results showing stability and robustness of the presented methods.

关键词： System Autonomous Delivery

来源：评论

学校读者我要写书评

暂无评论

A Lite Cellular Generalized Neuron Network for Frequency Prediction of Synchronous Generators in a Multimachine Power System

A Lite Cellular Generalized Neuron Network for Frequency Pre...

引用

International Joint Conference on Neural Networks

作者： Yawei Wei Ganesh Kumar Venayagamoorthy Real-Time Power and Intelligent Systems Laboratory The Holcombe Department of Electrical and Computer Engineering Clemson University

ISBN: (纸本)9781509006212

Power system protection and emergency control systems require continuous monitoring to prevent grid-wide frequency instability or system islanding. Amongst different methods, cellular computation networks (CCNs) are more suitable for providing dynamic frequency predictions. CCN is a scalable and distributed framework using the concept of cells and intercellular connections to represent a power system topology with multiple synchronous machines, transmission lines and loads. However, from a practical viewpoint, fast computing algorithms are needed for effective monitoring and response. In this paper, a lite CCN is proposed based on generalized neurons (GNs), referred to as the cellular generalized neuron network (CGNN). The performance of CGNN is compared with that of a cellular multilayer perceptron network (CMLPN). The frequency predictions by the CGNN and CMLPN have been validated on a two-area four-machine benchmark power system. Data for the CGNN is provided from a real time digital simulation of the power system with phasor measurement units (PMUs). Based on a performance metric, results obtained show that the CGNN outperforms the CMLPN, especially in terms of least number of trainable parameters, low training time and better prediction accuracy.

关键词： Cellular computational network Frequency prediction Generalized neuron Particle swarm optimization Power systems Synchronous generators

来源：评论

学校读者我要写书评

暂无评论

Design of a nonlinear adaptive natural oscillator: Towards natural dynamics exploitation in cyclic tasks

Design of a nonlinear adaptive natural oscillator: Towards n...

引用

IEEE/RSJ International Conference on intelligent Robots and systems

作者： Rezvan Nasiri Mahdi Khoramshahi Majid Nili Ahmadabadi Cognitive Robotics Laboratory Control and Intelligent Processing Center of Excellence (CIPCE) School of Electrical and Computer Engineering College of Engineering University of Tehran Iran

ISBN: (纸本)9781509037636

In this paper, we present the dynamical equations of a nonlinear adaptive natural oscillator (NANO) in order to exploit the natural dynamics in robotic systems. The presented oscillator tries to minimize an energy-based cost function by adapting the shape and frequency of the reference trajectory. Stability, convergence, and optimality of this oscillator are guaranteed analytically. Moreover, the performance of this oscillator is investigated by applying it to three different types of robotic models;i.e., the pendulum, the adaptive-toy, and the hopper-leg.

关键词： Trajectory Learning Energy Efficiency Cyclic Tasks Natural Dynamics

来源：评论

学校读者我要写书评

暂无评论

Template-based human supervised robot task programming

Template-based human supervised robot task programming

引用

IEEE/RSJ International Conference on intelligent Robots and systems

作者： Xianchao Long Taskin Padir Robotics and Intelligent Vehicles Research Laboratory (RIVeR Lab) Department of Electrical and Computer Engineering Northeastern University Boston Massachussetts United States

ISBN: (纸本)9781509037636

Motions of a robot interacting with its environment can be described by a set of constraints. This paper introduces an approach, called motion template, which can quickly program and compose the constraints for the motion planner to generate the trajectory. Two types of motion templates, grasp and turn, are specifically described to explain the details of the technique. The reusability and shareability properties of the motion template are demonstrated using a variety of the motion planning applications across different robot platforms. A motion template framework is used to implement the motion template with the trajectory optimization.

关键词： jigs(templates) Robot trajectory optimization Programming

来源：评论

学校读者我要写书评

暂无评论

Research on Dust Evolution Simulation System Based on Dynamic Data Driven

Research on Dust Evolution Simulation System Based on Dynami...

引用

2016 International Conference on Sustainable Energy, Environment and Information engineering (SEEIE 2016)

作者： Xiao-mei HU He-wei QU Jun-jun HU Yuan TIAN Shanghai Key Laboratory of Intelligent Manufacturing and Robotics School of Mechatronic Engineering and AutomationShanghai University Electrical Engineering and Computer Science College of EngineeringUniversity of Michigan

The dust evolution simulation provides an important way to analyze the impact of dust on the environment. Dynamic data driven application system framework is applied and dust evolution simulation model based on DDDAS framework is proposed. Compared with the simulation model of dust evolution without DDDAS, the functions of the inputs of real-time data and modification of simulation parameters ensure the improvement of the accuracy of dust evolution simulation. The experimental results show that the dust evolution simulation with DDDAS framework is more precise than the simulation without DDDAS, which proves the effectiveness of the dust evolution simulation system based on dynamic data driven.

关键词： Dynamic data driven Dust evolution simulation Kinetic monte carlo Dust accumulation

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：