Feasibility Of Fuzzy Logic Control For Steam Turbine Systems: Analysis, Modeling and Control - Softcover

Aboul Magd, Ahmed; Sabry, Ashraf; Zeyada, Yasser

Softcover

ISBN 10: 3659232149 ISBN 13: 9783659232145

Publisher: LAP LAMBERT Academic Publishing, 2012

Synopsis

Fuzzy Logic Control (FLC) is an important alternative method to the conventional Proportional, Integral, and Derivative (PID) control method for use in nonlinear systems. This book, therefore, highlight the feasibility and effectiveness of fuzzy logic control in application to mathematical models of two basic types of steam turbines; straight expansion and single-automatic extraction turbines. The derived performance of the developed mathematical models, in terms of input/output duty variables without mean of control, is found to be in a good agreement with the actual performance of typical steam turbines with practical technical data and operating conditions. Model components exhibit nonlinear behavior. A comparison is made between the efficiency of Fuzzy Logic Control and the conventional PID control for the dynamic responses of the closed loop drive system. In case of straight expansion steam turbines, the control task is either speed or backpressure control. In case of single extraction steam turbines, the control task is to maintain both speed and extraction pressure of the turbine constants. This is done in presence of severe changes in load and/or steam demand conditions.

About this title

About the Author

Teacher and research assistant at Cairo University, Faculty of Engineering. Graduated from Cairo University, Faculty of Engineering, Mechanical Power Department, July 2003. Received his Master’s degree from Cairo University on September 2009 in the area of Mechanical Systems Simulation and Control. A good working knowledge in many SW/HW fields.

Edition details

• Publisher: LAP LAMBERT Academic Publishing
• Publication date: 2012
• Language: English
• ISBN 10: 3659232149
• ISBN 13: 9783659232145
• Binding: Paperback
• Number of pages: 200