This paper considers two issues in the vibration of rotating machines, namely, control of rotor vibration and control of the forces transmitted to the base. An adaptive multi-objective method is developed to tackle these issues simultaneously using magnetic bearings. A two-stage weighting strategy is developed, involving base weightings calculated by using a singular value decomposition of the system’s receptance matrices and an adjustable single weighting parameter tuned automatically to shift the balance between the two objective functions in accordance with performance specifications. This new real-time controller does not require measurements in addition to those required for the open-loop adaptive strategy. Frequency and time domain simulations of an existing experimental rig are used to assess the effectiveness of the proposed multi-objective adaptive controller as a precursor to an experimental study.
Skip Nav Destination
e-mail: ensmns@bath.ac.uk
e-mail: a.g.abulrub@warwick.ac.uk
e-mail: enscrb@bath.ac.uk
Article navigation
Research Papers
An Adaptive Multi-Objective Controller for Flexible Rotor and Magnetic Bearing Systems
M. Necip Sahinkaya,
M. Necip Sahinkaya
Reader
Mem. ASME
Department of Mechanical Engineering,
e-mail: ensmns@bath.ac.uk
University of Bath
, Bath BA2 7AY, UK
Search for other works by this author on:
Abdul-Hadi G. Abulrub,
Abdul-Hadi G. Abulrub
Warwick Manufacturing Group,
e-mail: a.g.abulrub@warwick.ac.uk
University of Warwick
, Coventry CV4 7AL, UK
Search for other works by this author on:
Clifford R. Burrows
Clifford R. Burrows
Emeritus Professor
Department of Mechanical Engineering,
e-mail: enscrb@bath.ac.uk
University of Bath
, Bath BA2 7AY, UK
Search for other works by this author on:
M. Necip Sahinkaya
Reader
Mem. ASME
Department of Mechanical Engineering,
University of Bath
, Bath BA2 7AY, UKe-mail: ensmns@bath.ac.uk
Abdul-Hadi G. Abulrub
Warwick Manufacturing Group,
University of Warwick
, Coventry CV4 7AL, UKe-mail: a.g.abulrub@warwick.ac.uk
Clifford R. Burrows
Emeritus Professor
Department of Mechanical Engineering,
University of Bath
, Bath BA2 7AY, UKe-mail: enscrb@bath.ac.uk
J. Dyn. Sys., Meas., Control. May 2011, 133(3): 031003 (9 pages)
Published Online: March 23, 2011
Article history
Received:
August 21, 2008
Revised:
April 27, 2010
Online:
March 23, 2011
Published:
March 23, 2011
Citation
Sahinkaya, M. N., Abulrub, A. G., and Burrows, C. R. (March 23, 2011). "An Adaptive Multi-Objective Controller for Flexible Rotor and Magnetic Bearing Systems." ASME. J. Dyn. Sys., Meas., Control. May 2011; 133(3): 031003. https://doi.org/10.1115/1.4003421
Download citation file:
Get Email Alerts
Offline and Online Exergy-Based Strategies for Hybrid Electric Vehicles
J. Dyn. Sys., Meas., Control (May 2025)
Multi Combustor Turbine Engine Acceleration Process Control Law Design
J. Dyn. Sys., Meas., Control
A Distributed Layered Planning and Control Algorithm for Teams of Quadrupedal Robots: An Obstacle-Aware Nonlinear Model Predictive Control Approach
J. Dyn. Sys., Meas., Control (May 2025)
Active Data-Enabled Robot Learning of Elastic Workpiece Interactions
J. Dyn. Sys., Meas., Control (May 2025)
Related Articles
Experiments on the Transient Performance of an Adaptive Multi-Objective Controller for Rotating Machinery
J. Eng. Gas Turbines Power (February,2011)
A Multiobjective Adaptive Controller for Magnetic Bearing Systems
J. Eng. Gas Turbines Power (December,2010)
On the Control of Synchronous Vibration in Rotor/Magnetic Bearing Systems Involving Auxiliary Bearing Contact
J. Eng. Gas Turbines Power (April,2004)
Multi-State Transient Rotor Vibration Control Using Sampled Harmonics
J. Vib. Acoust (April,2002)
Related Proceedings Papers
Related Chapters
Research Tools
Bearing Dynamic Coefficients in Rotordynamics: Computation Methods and Practical Applications
Regression Based Neural Network for Studying the Vibration Control of the Rotor Blade for Micro-Unmanned Helicopter
International Conference on Mechanical and Electrical Technology, 3rd, (ICMET-China 2011), Volumes 1–3
Unbalance
Fundamentals of Rotating Machinery Diagnostics