A Simulation Environment For Distributed Databases And Its Use For Performance Evaluation Of Replication Control Algorithms

2005 ◽  
Author(s):  
Sang H. Son ◽  
S. Kouloumbis
Keyword(s):  
Performance Evaluation ◽  
Distributed Databases ◽  
Control Algorithms ◽  
Simulation Environment ◽  
Replication Control

Methodology for optimal design and control of wind energy system based on simplifying assumptions

2021 ◽  
pp. 0309524X2110667
Author(s):  
Souhir Tounsi
Keyword(s):  
Wind Energy ◽  
Energy System ◽  
Chain Structure ◽  
Control Algorithms ◽  
Simulation Environment ◽  
Wind Energy Generation ◽  
Wind Energy System ◽  
Simplifying Assumptions ◽  
The Cost ◽  
And Control

The study presented in this paper concerns the development of a new methodology for design and controlling a wind energy generation chain. This methodology is based on combined Analytical-Finite Element-Experimental method. This type of converter chosen is an AC-DC inverter with IGBTs to improve the robustness of the power chain structure. It offers a reduction of the cost of the power chain and the improvement of the performances of the global studied system, as the control at power factor equal to unity and providing an electromagnetic torque which is added to the useful torque in order to extract the maximal energy. The control algorithms permit to regulate Le charging voltage and current in their rated values considered as optimal battery charging voltage and current. The global model of the power chain is implemented under the Matlab-Sumilink simulation environment for performance and efficiency analysis.

Video Tracking Control Algorithms for Unmanned Air Vehicles

2008 ◽  
Author(s):  
Ricardo Bencatel ◽  
Joa˜o Correia ◽  
Joa˜o Borges Sousa ◽  
Gil M. Gonc¸alves ◽  
Elo´i Pereira
Keyword(s):  
Control System ◽  
Flight Control ◽  
Tracking Control ◽  
Video Tracking ◽  
Control Algorithms ◽  
Unmanned Air Vehicles ◽  
Hybrid Automata ◽  
Simulation Environment ◽  
Flight Control System ◽  
Air Vehicles

We present and discuss a modular flight control system suitable for video tracking natural structures with Unmanned Air Vehicles (UAVs), like rivers, roads or canals. The control system is modeled in the framework of hybrid automata, where each state corresponds to different control algorithms. We implemented four nonlinear turn-rate control algorithms and compared them in a simulation environment to assess tracking performance.

Design, Modeling and Simulation for Obstacle Crossing Robot Based on In-Wheel Motor

2014 ◽  
Vol 651-653 ◽  
pp. 710-715 ◽  
Author(s):  
Guan Jun Meng ◽  
Zu Tao Zhang ◽  
Hong Xu
Keyword(s):  
Performance Evaluation ◽  
Modeling And Simulation ◽  
Complex Terrain ◽  
Simulation Environment ◽  
Small Space ◽  
Obstacle Crossing ◽  
Active Mode

This paper presents a novel Omni-directional obstacle crossing robot with a combination of passive and active obstacle crossing mode which uses binocular cameras to detect obstacles. The Omni-directional movements can enhance the ability of the robot working in small space and improve the efficiency of steering. The combination of passive and active mode can not only guarantee the adaptability to complex terrain but also enhance the obstacle-crossing ability of the robot. This system was tested in simulation environment, and the last performance evaluation demonstrates the validity of the proposed obstacle crossing robot.

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