eBook, PDF

Fractional Order Motion Controls (eBook, PDF)

Beschreibung

Covering fractional order theory, simulation and experiments, this book explains how fractional order modelling and fractional order controller design compares favourably with traditional velocity and position control systems. The authors systematically compare the two approaches using applied fractional calculus. Stability theory in fractional order controllers design is also analysed. * Presents material suitable for a variety of real-world applications, including hard disk drives, vehicular controls, robot control and micropositioners in DNA microarray analysis * Includes extensive experimental results from both lab bench level tests and industrial level, mass-production-ready implementations * Covers detailed derivations and numerical simulations for each case * Discusses feasible design specifications, ideal for practicing engineers The book also covers key topics including: fractional order disturbance cancellation and adaptive learning control studies for external disturbances; optimization approaches for nonlinear system control and design schemes with backlash and friction. Illustrations and experimental validations are included for each of the proposed control schemes to enable readers to develop a clear understanding of the approaches covered, and move on to apply them in real-world scenarios.

Technische Details

• Geräte: PC
• mit Kopierschutz
• Größe: 26.26MB

Barrierefreiheit

• Text-to-Speech

Autor

Ying Luo, South China University of Technology, China. Currently Assistant Professor in the Department of Automatic Control and Engineering, South China University of Technology, Dr Luo joined the? BS-Ph.D program? in 2004. He went to Utah State University, Logan, UT, USA, as a visiting scholar/exchange PhD?from September 2007 to February 2009 and received the PhD degree in Automation Science and Engineering from South China University of Technology, Guangzhou, China, in July 2009. Dr Luo has been based at Utah State University, Logan, UT, USA, as a postdoctoral fellow from September 2009. He has worked on several patents and has published research in some key journals. YangQuan Chen, Utah State University, USA. Dr Chen is Associate Professor in the Department of Electrical & Computer Engineering as well as Director at the Center for Self-Organizing & Intelligent Systems (CSOIS) of Utah State University, Logan. Prior to this he has held positions at Seagate Tech. Int., Singapore, National University of Singapore and Nanyang Technological University. He is the owner of 14 patents and Senior Member of the IEEE.

Produktdetails

• Verlag: John Wiley & Sons
• Erscheinungstermin: 28. September 2012
• Englisch
• ISBN-13: 9781118387702
• Artikelnr.: 37347588