Performance Improvements of the Reheat Furnace Level 2 Control System at AM/NS Calvert LLC

2019 ◽  
Author(s):  
T. Lanzendorfer ◽  
D. Pueschel ◽  
L. Pellecchia
Keyword(s):  
Control System ◽  
Performance Improvements ◽  
Reheat Furnace ◽  
Level 2

Research on Extra-Atmospheric Aircraft Modeling and Control Based on Maneuvering Target

2015 ◽  
Vol 799-800 ◽  
pp. 1142-1148
Author(s):  
Peng Liu ◽  
Cheng Yuan Peng ◽  
Ge Li ◽  
Feng Xue ◽  
Jia Qi Liu
Keyword(s):  
Control System ◽  
Attitude Control ◽  
Control Method ◽  
Attitude Control System ◽  
Proportional Navigation ◽  
Modeling And Control ◽  
Performance Improvements ◽  
Orbit Control ◽  
Guidance Law ◽  
Significant Performance

The extra-atmospheric aircraft model is established, and then the control system is designed. The control system consist of attitude control system and orbit control system, the attitude control system used PID controller and the orbit control system used augmented proportional navigation method. The traditional Proportional Navigation (PN) guidance law has higher accuracy. But for highly maneuvering targets, the accuracy of traditional PN guidance law is still not enough. An Augmented Proportional Navigation (APN) guidance law is designed, an acceleration compensation of the target is introduced on the basis of PN guidance law to overcome the effect of the acceleration on the guidance accuracy. And the engine control method is designed based on the fixed engine thrust. Simulation results indicated that, for homing against maneuverable targets, the APN guidance law is better than the PN guidance law in the following aspects: guidance accuracy is higher, miss distance is lower, interception time is shorter. And the new guidance law provides significant performance improvements over the commonly used classical proportional navigation law.

scholarly journals Assessing the Efficiency of Increasing the Track Speed in the Line Section Rokycany–Plzeň hl. n.

2020 ◽  
Vol 12 (18) ◽  
pp. 7415
Author(s):  
Petr Nachtigall ◽  
Jaromír Široký ◽  
Erik Tischer
Keyword(s):  
Control System ◽  
System Level ◽  
Necessary Condition ◽  
Train Control ◽  
Train Control System ◽  
Line Section ◽  
Output Characteristics ◽  
Level 2

Using simulation in OpenTrack, this paper analyses the journey of type trainsets on model infrastructure in the line section Rokycany–Ejpovice–Plzeň hl. n. The aim of this paper is to assess the efficiency of increasing the track speed in this section. Analyzing the output characteristics of the simulation, selected indicators were assessed which influence the efficiency of further increases in track speed. One of the simulation scenarios is using the European Train Control System Level 2 (ETCS L2) system as the necessary condition of the speed over 160 km·h−1.

scholarly journals Design of Level 2 Control System for Continuous Reheat Furnaces

2016 ◽  
Vol 12 (1) ◽  
pp. 113-120
Author(s):  
BoHyun Ryu ◽  
JaeYong Lee ◽  
DongRyul Rhim ◽  
JaeMin Cha ◽  
ChoongSub Yeom
Keyword(s):  
Control System ◽  
Level 2

Development of a New Lateral Stability Control System Enhanced With Accelerometer Based Tire Sensors

2010 ◽  
Author(s):  
Gurkan Erdogan ◽  
Francesco Borrelli ◽  
Riccardo Tebano ◽  
Giorgio Audisio ◽  
Giulia Lori ◽  
...  
Keyword(s):  
Control System ◽  
Control Systems ◽  
Stability Control ◽  
Lateral Stability ◽  
Driver Assistance Systems ◽  
The Road ◽  
Performance Improvements ◽  
Stability Control System ◽  
On The Road ◽  
Tire Forces

Vehicles are usually equipped with driver assistance systems such as anti-lock brake, traction control and lateral stability control systems. Although the forces maneuvering a vehicle are generated inside the tire contact patch, state of the art control systems have no feedback directly from the tires. Instead, observers based on indirect measurements are employed to close the control loop. Wireless sensors embedded inside the tires can be used to extract valuable information from the tire deformations such as forces. These forces can be used to develop adaptive stability control systems which update their parameters in real-time depending on the road and vehicle conditions. Furthermore, controllers can selectively regulate tire forces by changing brake/drive torques at each tire. This paper examines the integration of accelerometer based tire sensors with lateral stability control system (ESP). Its aim is to present the main components of a smart-tire enabled ESP and a preliminary study on potential performance improvements.

Passage control for ERTMS/ETCS level 2 implementation on railway lines with mix traffic

2018 ◽  
Vol 123 ◽  
pp. 33-39
Author(s):  
Maciej Irlik
Keyword(s):  
Control System ◽  
Command And Control ◽  
Point Of View ◽  
Safety Requirements ◽  
Proper Design ◽  
And Control ◽  
Near Future ◽  
Command And Control System ◽  
Level 2 ◽  
System Point

Currently the ERTMS/ETCS level 2 system is implemented on the polish railway lines. On all railway lines where this system is implemented (or will be implemented in near future) there is a mix traffic. It means that both equipped and unequipped with ETCS system trains shall be considered from command and control system point of view. This article presents issue related to the function of passage control in the system and its proper design for fulfill availability and safety requirements for mix traffic signaling.

scholarly journals Temperature controller optimization by computational intelligence

2016 ◽  
Vol 20 (suppl. 5) ◽  
pp. 1541-1552
Author(s):  
Zarko Cojbasic ◽  
Milan Ristanovic ◽  
Nemanja Markovic ◽  
Stefan Tesanovic
Keyword(s):  
Energy Efficiency ◽  
Control System ◽  
Optimization Methods ◽  
Temperature Control System ◽  
Algorithm Optimization ◽  
Intelligent Optimization ◽  
Temperature Controller ◽  
Performance Improvements ◽  
Equipment Wear ◽  
Intelligent Methods

In this paper a temperature control system for an automated educational classroom is optimized with several advanced computationally intelligent methods. Controller development and optimization has been based on developed and extensively tested mathematical and simulation model of the observed object. For the observed object cascade P-PI temperature controller has been designed and conventionally tuned. To improve performance and energy efficiency of the system, several metaheuristic optimizations of the controller have been attempted, namely genetic algorithm optimization, simulated annealing optimization, particle swarm optimization and ant colony optimization. Efficiency of the best results obtained with proposed computationally intelligent optimization methods has been compared with conventional controller tuning. Results presented in this paper demonstrate that heuristic optimization of advanced temperature controller can provide improved energy efficiency along with other performance improvements and improvements regarding equipment wear. Not only that presented methodology provides for determination and tuning of the core controller, but it also allows that advanced control concepts such as anti-windup controller gain are optimized simultaneously, which is of significant importance since interrelation of all control system parameters has important influence on the stability and performance of the system as a whole. Based on the results obtained, general conclusions are presented indicating that meta-heuristic computationally intelligent optimization of heating, ventilation, and air conditioning control systems is a feasible concept with strong potential in providing improved performance, comfort and energy efficiency.

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