ANFIS Control for Robotic Manipulators: Adaptive Neuro Fuzzy Inference Systems for Intelligent Control - Softcover

Patel, Jimit; Gianchandani, Rishi

Softcover

ISBN 10: 3846591718 ISBN 13: 9783846591710

Publisher: LAP LAMBERT Academic Publishing, 2011

Synopsis

Robots are highly reliable, dependable and technologically advanced factory equipment. The basic architecture of most commercial robots is fundamentally the same, consists of digital servo controlled electrical motor drives on serial-link kinematic machines, usually with no more than six axes (degrees of freedom). All are supplied with a proprietary controller. Virtually all robot applications require significant design and implementation effort by engineers and technicians. Each robot is unique considering the manner in which the components are put together to achieve performance that yields a competitive product. The most important considerations in the application of an industrial robot center on two issues: manipulation and integration. Through the years considerable research effort has been made in their controller design. In order to achieve accurate trajectory tracking and good control performance, a number of control schemes have been developed. Amongst these, ANFIS (Adaptive Neuro-Fuzzy Inference System) has provided best results for control of robotic manipulators as compared to the conventional control strategies.

About this title

About the Author

Jimit Patel graduated from Nirma University (India) with B.Tech. Instrumentation & Control Engineering in 2010. He worked with Infosys Technologies Ltd. from 2010 to 2011 as a systems engineer. Currently, he is pursuing MS Electrical Engineering with specialization in Control and Robotics from North Carolina State University, USA.

Edition details

• Publisher: LAP LAMBERT Academic Publishing
• Publication date: 2011
• ISBN 10: 3846591718
• ISBN 13: 9783846591710
• Binding: Paperback
• Language: English
• Number of pages: 88