Capacity diminution of railway power conditioner using a new smart control system

2016 ◽  
Author(s):  
Hossein Madadi Kojabadi ◽  
Hamed Jafari Kaleybar ◽  
Mehdi Fallah ◽  
Seyed Saeed Fazel ◽  
Liuchen Chang
Keyword(s):  
Control System ◽  
Power Conditioner ◽  
Smart Control

Design and Simulation of Smart Control System for Internet Traffic Distribution on Servers by Using Fuzzy Logic System

2018 ◽  
Vol 2 (1) ◽  
Author(s):  
Raid Daoud ◽  
Yaareb Al-Khashab
Keyword(s):  
Fuzzy Logic ◽  
Control System ◽  
Input Parameter ◽  
Traffic Density ◽  
The Internet ◽  
Linguistic Variables ◽  
Internet Service ◽  
Traffic Distribution ◽  
Smart Control ◽  
High Level

The internet service is provided by a given number of servers located in the main node of internet service provider (ISP). In some cases; the overload problem was occurred because a demand on a given website goes to very high level. In this paper, a fuzzy logic control (FLC) has proposed to distribute the load into the internet servers by a smart and flexible manner. Three effected parameters are tacked into account as input for FLC: link capacity which has three linguistic variables with Gaussian membership function (MF): (small, medium and big), traffic density with linguistic variables (low, normal and high) and channel latency with linguistic variables (empty, half and full); with one output which is the share server status (single, simple and share). The proposed work has been simulated by using MATLAB 2016a, by building a structure in the Fuzzy toolbox. The results were fixed by two manners: the graphical curves and the numerical tables, the surface response was smoothly changed and translates the well-fixed control system. The numerical results of the control system satisfy the idea of the smart rout for the incoming traffics from the users to internet servers. So, the response of the proposed system for the share of server ratio is 0.122, when the input parameter in the smallest levels; and the ratio is 0.879 when the input parameters are in highest level. The smart work and flexible use for the FLC is the main success solution for most of today systems control.

Integrating a novel smart control system for outdoor lighting infrastructures in ports

2021 ◽  
Vol 246 ◽  
pp. 114684
Author(s):  
Nikolaos Sifakis ◽  
Konstantinos Kalaitzakis ◽  
Theocharis Tsoutsos
Keyword(s):  
Control System ◽  
Smart Control

scholarly journals Adaptive Smart Control Method for Electric Vehicle Wireless Charging System

Energies ◽  
2018 ◽  
Vol 11 (10) ◽  
pp. 2685 ◽  
Author(s):  
Lingbing Gong ◽  
Chunyan Xiao ◽  
Bin Cao ◽  
Yuliang Zhou
Keyword(s):  
Control System ◽  
Control Method ◽  
Characteristic Curve ◽  
Constant Current ◽  
Voltage Source ◽  
Wireless Charging ◽  
Charging Time ◽  
Multi Stage ◽  
Smart Charging ◽  
Smart Control

In order to shorten the wireless charging time of electric vehicles (EVs) and achieve stable charging, an adaptive smart control method for EV wireless charging is proposed in the paper. The method dynamically tracks the rechargeable battery state during the whole charging process, realizes multi-stage charging of constant current (CC) or constant voltage (CV) by switching two kinds of compensation networks of bilateral L3C and L3C-C, and regulates the charging voltage and current to make it as close as possible to the battery charging characteristic curve. This method can be implemented because the voltage source connected to the coupler and the compensation networks of bilateral L3C and L3C-C have the CC and CV source characteristics, respectively. On the basis of the established adaptive smart control system of EV wireless charging, the experiments of wireless data transmission and adaptive smart charging were conducted. The results showed that the designed control system had a response time of less than 200 ms and strong anti-interference ability and it shortened the charging time by about 16% compared with the time using traditional charging methods, thereby achieving a fast, stable, safe, and complete wireless charging process.

Smart Control of DC Servo Motor Based on Fussy-PID

2014 ◽  
Vol 950 ◽  
pp. 263-267
Author(s):  
Xi Juan Wang ◽  
Wan Ming Xu ◽  
Yong Qiang Wu ◽  
Hai Yan Gao
Keyword(s):  
Control System ◽  
Mathematical Models ◽  
Direct Current ◽  
Pid Control ◽  
Time Varying ◽  
Servo Motor ◽  
Basic Algorithm ◽  
Smart Control

Conventional PID control system of Direct Current (DC) servo motor is only suitable for the system which Mathematical models can be precisely expressed [1] And it can’t meet the demand of the nonlinear and time-varying system. In the paper, a control system based on fussy-PID is proposed. The basic algorithm of the fussy-PID is introduced firstly. And then the design of the fussy-PID control system is introduced. The results of the experiments have shown that the fussy-PID control system improved the performance of the DC servo motor..

Radar-based impact load prediction for damage mitigation of infrastructure

2015 ◽  
Vol 23 (12) ◽  
pp. 1908-1924 ◽  
Author(s):  
Jake Edmond Hughes ◽  
Yeesock Kim ◽  
Tahar El-Korchi ◽  
David Cyganski
Keyword(s):  
Control System ◽  
Structural Control ◽  
Impact Load ◽  
Impact Loads ◽  
Control Technology ◽  
Velocity Measurements ◽  
Engineering Structures ◽  
Mr Dampers ◽  
Controller Performance ◽  
Smart Control

The application of smart control technology to both aging and new infrastructure is essential to extending service life, increasing life safety, and decreasing repair and replacement costs. One area of control technology research for civil engineering structures that has received little attention historically is that of high-impact loads, such as collision events. The dissipation of impact energy using smart control devices, such as magnetorheological (MR) dampers, leads to less plastic deformation and damage, and a lower likelihood of collapse in civil engineering structures. Due to the short duration and high variability in magnitude of potential impact loads, the issue of sub-optimal controller performance arises. In order to boost controller performance and improve the effectiveness of the control system, a radar-based impact load identifier is proposed. This radar-based impact load identifier will be used to estimate impact loads from imminent impacting objects, for example vessels and trucks, thus providing input information to the control system before the impact actually occurs. This paper presents the characterization and validation, through laboratory tests, of one part of the radar-based impact load identifier, the range and velocity estimation of the incoming moving objects. The range and velocity information are then used to direct structural control based on laboratory impact tests. An ultrawideband monostatic pulsed radar is used for range and velocity measurements of a laboratory-scale impacting vehicle. The range and velocity measurements obtained from the radar scans are verified using physical measurements and control testing. The tests showed great accuracy for both range and velocity with less than 3% error for each measurement and demonstrated structural control based on these measurements. It is shown from control system testing that the proposed approach is effective in reducing the structural impact responses by 11–30%, depending on the performance index, for pre-impact structural stiffening with passive control of MR dampers.

scholarly journals Smart Control System of Solar Panels

2021 ◽  
Vol 7 ◽  
pp. 315-322
Author(s):  
Eman Nasser ◽  
Mona Ahmed Younis ◽  
Amal Nasser
Keyword(s):  
Control System ◽  
Solar Panels ◽  
Smart Control

scholarly journals The Operation of a Tillage Tool Smart Control System

2021 ◽  
Vol 666 (5) ◽  
pp. 052088
Author(s):  
G V Redreev ◽  
E V Demchuk ◽  
D A Golovanov
Keyword(s):  
Control System ◽  
Smart Control

The Smart Technologies for Movement of the Robotic Truck Caravan

2016 ◽  
Vol 851 ◽  
pp. 470-476 ◽  
Author(s):  
Alexander Ignatov ◽  
Valeriy Ivchenko ◽  
Petr Krug ◽  
Ekaterina Matyukhina ◽  
Tatiana Morozova
Keyword(s):  
Control System ◽  
Smart Control ◽  
Smart Technologies

The report deals with the technologies developed to control robotic trucks belonging to an autonomous truck caravan. Solvable tasks, the structure of nodes and the work principle of the autonomous freight vehicle smart control system are listed.

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