This paper presents a technique for attenuating the external disturbances acting on the rotor of a prototype flywheel energy storage device. The approach uses a three-phase axial flux brushless dc motor to simultaneously produce a torque and a radial force. This is accomplished by using two phases of the motor for torque generation, and one phase to produce the radial force. The paper develops a set of equations that can be used to predict the forces generated by the motor coils. These equations are used to implement a feedback control system to suppress the effects of external excitations. The nonlinear controller requires the velocity measurements and the angular displacement of the flywheel. The controller essentially adds damping to the system, and the constant feedback gains solve an optimization problem that involves a bound on the disturbance attenuation. The experimental results clearly demonstrate that the dc motor can be used to suppress unwanted radial vibrations due to external disturbances.
Skip Nav Destination
Article navigation
November 2007
Technical Papers
Disturbance Attenuation Using a dc Motor for Radial Force Actuation in a Rotordynamic System
Rainer Leuschke,
Rainer Leuschke
Research Assistant
Department of Mechanical Engineering,
University of Washington
, Seattle, WA 98195
Search for other works by this author on:
Brian C. Fabien
Brian C. Fabien
Professor
Department of Mechanical Engineering,
University of Washington
, Seattle, WA 98195
Search for other works by this author on:
Rainer Leuschke
Research Assistant
Department of Mechanical Engineering,
University of Washington
, Seattle, WA 98195
Brian C. Fabien
Professor
Department of Mechanical Engineering,
University of Washington
, Seattle, WA 98195J. Dyn. Sys., Meas., Control. Nov 2007, 129(6): 804-812 (9 pages)
Published Online: January 18, 2007
Article history
Received:
February 1, 2006
Revised:
January 18, 2007
Citation
Leuschke, R., and Fabien, B. C. (January 18, 2007). "Disturbance Attenuation Using a dc Motor for Radial Force Actuation in a Rotordynamic System." ASME. J. Dyn. Sys., Meas., Control. November 2007; 129(6): 804–812. https://doi.org/10.1115/1.2789471
Download citation file:
Get Email Alerts
Cited By
Offline and online exergy-based strategies for hybrid electric vehicles
J. Dyn. Sys., Meas., Control
Optimal Control of a Roll-to-Roll Dry Transfer Process With Bounded Dynamics Convexification
J. Dyn. Sys., Meas., Control (May 2025)
In-Situ Calibration of Six-Axis Force/Torque Transducers on a Six-Legged Robot
J. Dyn. Sys., Meas., Control (May 2025)
Active Data-enabled Robot Learning of Elastic Workpiece Interactions
J. Dyn. Sys., Meas., Control
Related Articles
Design and Analysis of a Unique Energy Storage Flywheel System—An Integrated Flywheel, Motor/Generator, and Magnetic Bearing Configuration
J. Eng. Gas Turbines Power (April,2015)
Analysis and Control of a Flywheel Energy Storage System With a Hybrid Magnetic Bearing
J. Dyn. Sys., Meas., Control (December,1997)
A Nonlinear Dynamic Model of Flywheel Energy Storage Systems Based on Alternative Concept of Back Propagation Neural Networks
J. Comput. Nonlinear Dynam (September,2022)
Contact Dynamic Response With Misalignment in a Flexible Rotor/Magnetic Bearing System
J. Eng. Gas Turbines Power (April,2006)
Related Proceedings Papers
Related Chapters
QP Based Encoder Feedback Control
Robot Manipulator Redundancy Resolution
Fans and Air Handling Systems
Thermal Management of Telecommunications Equipment
Outlook
Closed-Cycle Gas Turbines: Operating Experience and Future Potential