Precise Digital Control of Active Magnetic Bearings

This book presents a step by step approach in
developing a test rig for the acoustic noise study
of induction machines using Active Magnetic Bearings
(AMB). The possibility of developing a DSP based
digital control system for this purpose is
presented. The AMB system is
initially modeled using first principles using
manufacturer data. Controller designs are carried
out first at simulation level. Successful
implementation of the digital controller
opens up several opportunities for further research.
One of them is the model validation using system
identification tests. Under this, the mathematically
developed AMB model is validated in time domain and
frequency domain by conducting system identification
experiments. Periodic disturbances occur in the
position feedback signals, when the motor is
rotated. An adaptive periodic disturbance
cancellation method is employed to overcome this
problem. This further improves the performance of
complete control strategy. As such, the modeling and
control strategies used in this book can be used as
the basis for anybody entering into the area of AMB.

Autorentext

Sanath Alahakoon received his B.Sc. from University of Peradeniya, Sri Lanka & Ph.D. from Royal Institute of Technology, Sweden. He is a Senior Lecturer in University of Peradeniya. He headed electrical engineering department for 6 years. His research interests are digital control, drives, estimation, identification & nonlinear control.

Klappentext

This book presents a step by step approach in developing a test rig for the acoustic noise study of induction machines using Active Magnetic Bearings (AMB). The possibility of developing a DSP based digital control system for this purpose is presented. The AMB system is initially modeled using first principles using manufacturer data. Controller designs are carried out first at simulation level. Successful implementation of the digital controller opens up several opportunities for further research. One of them is the model validation using system identification tests. Under this, the mathematically developed AMB model is validated in time domain and frequency domain by conducting system identification experiments. Periodic disturbances occur in the position feedback signals, when the motor is rotated. An adaptive periodic disturbance cancellation method is employed to overcome this problem. This further improves the performance of complete control strategy. As such, the modeling and control strategies used in this book can be used as the basis for anybody entering into the area of AMB.