Thair Mahmoud, Tang Hong, Mohammad Marhaban

An Improved Fuzzy PD-Like Controller for MIMO Twin Rotor System

Rules Reduction and Performance Improvement

• Broschiertes Buch

Produktbeschreibung

This book investigates the use of ANFIS-Self Tuning Fuzzy PD-like Controller, which tolerates the control objectives and compromises the required computation resources. The discussed control strategy has been utilised to achieve control objectives on one- and two- degrees of freedom of a highly non-linear system (Twin Rotor MIMO System). The book also includes the Fuzzy and Self Tuning Fuzzy controllers design. In addition, it details controllers' modelling steps including the data clustering and ANFIS training. This book shows how Fuzzy rules have been reduced when Fuzzy Subtractive Clustering Method based ANFIS modelling is applied, meanwhile controllers performance is improved. The scientific material in this book justifies the concerns about the needed computation (memory and processing time), where a compromised selection for the parameters that would affect the system's performance and their needed computation resources has been applied.

Produktdetails

• Verlag: LAP Lambert Academic Publishing
• Aufl.
• Seitenzahl: 156
• Erscheinungstermin: 31. Januar 2012
• Englisch
• Abmessung: 220mm x 150mm x 10mm
• Gewicht: 250g
• ISBN-13: 9783847375500
• ISBN-10: 3847375504
• Artikelnr.: 34972923

Autorenporträt

Thair is a control and automation engineer. He did his B.Sc.and M.Sc. in control and automation engineering from University of Technology, Iraq, 2004 and Universiti Putra Malaysia, Malaysia, 2009. He is currently perusing a PhD in Energy Management Systems (EMS)in Edith Cowan University, Australia. His research interests: Modelling & Control.