Ying Luo & YangQuan Chen 
Fractional Order Motion Controls 

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.

Über den 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 Ph D?from September 2007 to February 2009 and received the Ph D 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.

Yang Quan 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.