Positive Feed-Forward Control Scheme for Distributed Power Conversion System With Multiple Voltage Sources

2012 ◽  
Vol 27 (7) ◽  
pp. 3186-3194 ◽  
Author(s):  
Ray-Lee Lin ◽  
Po-Yao Yeh ◽  
Ching-Hsiung Liu
Keyword(s):  
Power Conversion ◽  
Distributed Power ◽  
Feed Forward ◽  
Feed Forward Control ◽  
Control Scheme ◽  
Conversion System

Research on the register system modelling and control of gravure printing press

2011 ◽  
Vol 226 (3) ◽  
pp. 626-635 ◽  
Author(s):  
J Li ◽  
X Mei ◽  
T Tao ◽  
S Liu
Keyword(s):  
Mathematical Model ◽  
High Performance ◽  
Printing Press ◽  
System Modelling ◽  
Gravure Printing ◽  
Feed Forward ◽  
Feed Forward Control ◽  
Control Scheme ◽  
Speed Fluctuation ◽  
Register Error

The register accuracy is the most important performance of gravure printing press. In order to improve the control accuracy of register, an accurate mathematical model of the register error and a high-performance controller should be researched. In this article, the mathematical model of the register error and the elimination of interference caused by the speed and tension of web by the feed-forward control scheme are studied. The established mathematical model and the feed-forward control scheme are validated by the numerical simulation and multi-colour gravure printing press test. The results show that the established register error model is accurate and reliable, and the designed feed-forward control scheme effectively reduces the register error caused by the tension and speed fluctuation.

Supervisory Feed-Forward Control for Real-Time Topping Cycle CHP Operation

2010 ◽  
Vol 132 (1) ◽  
Author(s):  
Heejin Cho ◽  
Rogelio Luck ◽  
Louay M. Chamra
Keyword(s):  
Energy Consumption ◽  
Real Time ◽  
Carbon Dioxide Emission ◽  
Operational Cost ◽  
Short Term ◽  
Feed Forward ◽  
Feed Forward Control ◽  
Time Operation ◽  
Control Scheme ◽  
Topping Cycle

This paper presents an energy dispatch algorithm for real-time topping cycle cooling, heating, and power (CHP) operation for buildings with the objective of minimizing the operational cost, primary energy consumption (PEC), or carbon dioxide emission (CDE). The algorithm features a supervisory feed-forward control for real-time CHP operation using short-term weather forecasting. The advantages of the proposed control scheme for CHP operation are (a) relatively simple and efficient implementation allowing realistic real-time operation, (b) optimized CHP operation with respect to operational cost, PEC, or CDE, and (c) increased site-energy consumption resulting in less dependence on the electric grid. In the feed-forward portion of the control scheme, short-term electric, cooling, and heating loads are predicted using the U.S. Department of Energy benchmark small office building model. The results are encouraging regarding the potential saving of operational cost, PEC, and CDE from using the control system for a CHP system with electric and thermal energy storages.

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