Analysis and Testing of a Magnetic Bearing Energy Storage Flywheel With Gain-Scheduled, MIMO Control

Hawkins, Lawrence A.; Murphy, Brian T.; Kajs, J.P.

doi:10.1115/2000-gt-0405

Cited by 16 publications

(12 citation statements)

References 7 publications

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“…Various flywheel shapes and inertial constants [4] An example of a flywheel system is given in [17], where it is applied to a hybrid electric bus.…”

Section: Table 23-1mentioning

confidence: 99%

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Multivariable H∞ Control for an Active Magnetic Bearing Flywheel System

Steyn¹,

Vuuren²,

Schoor³

2010

UKACC International Conference on CONTROL 2010

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Conventional ball-bearings in rotational applications can potentially be replaced by active magnetic bearings (AMBs). AMBs levitate the rotor via contact-free, actively controlled, electromagnetic forces. At the NorthWest University, AMBs are applied to a flywheel uninterrupted power supply (Fly-UPS) system. Regrettably, AMBs are inherently open-loop unstable because of the inverse displacement-force relationship, and for this reason requires closed-loop feedback control. Thus, the feasibility of multivariable H control for a Fly-UPS system is investigated. At present, the Fly-UPS system is being controlled by a number of decentralized single-input single-output (SISO), PD controllers. Ultimately, the combination of a multivariable plant, My sincere thanks to my supervisors, Dr. Pieter van Vuuren and Prof. George van Schoor. Your guidance, time, dedication and valuable inputs were and are priceless. Thank you for placing your trust in me and making it possible for me to further my studies. It has been an honour and a privilege working with you both. Furthermore, the financial assistance of the National Research Foundation (NRF) towards this research is hereby acknowledged. Opinions expressed and conclusions arrived at, are those of the author and are not necessarily to be attributed to the NRF. I would like to thank Stefan Myburgh and Jan Janse van Rensburg for helping, guiding and assisting me throughout this project (and allowing me to tinker with their flywheel system). My thanks to all my colleagues in the McTronX group, your teamwork and kinship are valuable to me. I would like to thank all my friends, Eugène, Jacques, Martin, Ryno, Luke and my brother and sister, who kept me sane at times when I got too 'academic'. And to all those I have not mentioned, I appreciate your support. Finally, to my parents, Martin and Ansa Steyn, for making my studies possible and teaching me that I can accomplish anything I put my mind to. I appreciate your love, wisdom and guidance.

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“…Various flywheel shapes and inertial constants [4] An example of a flywheel system is given in [17], where it is applied to a hybrid electric bus.…”

Section: Table 23-1mentioning

confidence: 99%

“…16 Cross-coupling represents the coupling between the x-y axes, as well as the upper -lower x-x, y-y axes. 17 Robust stability by having large gain/phase margins during speed variation and robust performance via sufficient disturbance rejection and good system response.…”

Section: Controlmentioning

confidence: 99%

Multivariable H∞ Control for an Active Magnetic Bearing Flywheel System

Steyn¹,

Vuuren²,

Schoor³

2010

UKACC International Conference on CONTROL 2010

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“…If the system is required to operate the first bending critical speed, the flexible rotor model may have to be used for the controller design as well as the stability analysis. In order to provide enough stability, a more complex controller such as MIMO controller and gain-scheduling controller [13] will be considered.…”

Section: Conclustionsmentioning

confidence: 99%

Stability analysis of a magnetically-levitated large flywheel using flexible rotor modeling

Yoo

Park

et al. 2009

2009 IEEE International Conference on Industrial Technology

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Stability analysis of the flywheel energy storage system supported by active magnetic bearings is studied in this paper. The system is designed to store 5kWh at maximum speed of 18,000 rpm and the gyroscopic coupling is strong that the dynamics of system changes with respect to the running speed. To analyze the stability of the system accurately, we derived mathematical models for the system components including the rotor, active magnetic bearings, amplifiers and sensors. The rotor model is based either on rigid-body dynamics or flexible rotor model using finite-element approach. We checked the stability of the system using the derived models and found that the model based rigid-body dynamics can be misleading, and an accurate rotor model using flexible rotor dynamics must be used in order to predict the stability properly.I.

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“…The second controller considers each bearing as a single MIMO system with the displacements in the two orthogonal directions as inputs. This type of MIMO control has been used previously with cross control to compensate flywheel gyroscopic effects [23,24]. The originality of the methodology developed is that it manages two significant physical quantities, namely tangential and radial speeds, which are associated to steady state and transient behaviours respectively.…”

Section: Introductionmentioning

confidence: 99%