Fractional Order Motion Controls
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About this ebook
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.
Ying Luo
Dr. Luo currently working in National Lab of Radar Signal Processing, Xidian University as a Postdoctoral Fellow, and also is an Adjunct Research Fellow with the Key Laboratory for Information Science of Electromagnetic Waves (Ministry of Education), Fudan University, Shanghai, China. He is a Member of the IEEE and the Chinese Institute of Electronics (CIE), respectively. He has published over 60 papers on journals and conferences. His research interests include signal processing and auto target recognition (ATR) in SAR and ISAR.
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