A data driven control design approach in the frequency domain is used to design track following feedback controllers for dual-stage hard disk drives using multiple data measurements. The advantage of the data driven approach over model based approach is that, in the former approach the controllers are directly designed from frequency responses of the plant, hence avoiding any model mismatch. The feedback controller is considered to have a Sensitivity Decoupling Structure. The data driven approach utilizes H∞ and H2 norms as the control objectives. The H∞ norm is used to shape the closed loop transfer functions and ensure closed loop stability. The H2 norm is used to constrain and/or minimize the variance of the relevant signals in time domain. The control objectives are posed as a locally convex optimization problem. Two design strategies for the dual-stage hard disk drive are presented.
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ASME 2018 Dynamic Systems and Control Conference
September 30–October 3, 2018
Atlanta, Georgia, USA
Conference Sponsors:
- Dynamic Systems and Control Division
ISBN:
978-0-7918-5191-3
PROCEEDINGS PAPER
Application of Mixed H2/H∞ Data Driven Control Design to Dual Stage Hard Disk Drives
Omid Bagherieh,
Omid Bagherieh
University of California, Berkeley, CA
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Prateek Shah,
Prateek Shah
University of California, Berkeley, CA
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Roberto Horowitz
Roberto Horowitz
University of California, Berkeley, CA
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Omid Bagherieh
University of California, Berkeley, CA
Prateek Shah
University of California, Berkeley, CA
Roberto Horowitz
University of California, Berkeley, CA
Paper No:
DSCC2018-9094, V003T35A002; 10 pages
Published Online:
November 12, 2018
Citation
Bagherieh, O, Shah, P, & Horowitz, R. "Application of Mixed H2/H∞ Data Driven Control Design to Dual Stage Hard Disk Drives." Proceedings of the ASME 2018 Dynamic Systems and Control Conference. Volume 3: Modeling and Validation; Multi-Agent and Networked Systems; Path Planning and Motion Control; Tracking Control Systems; Unmanned Aerial Vehicles (UAVs) and Application; Unmanned Ground and Aerial Vehicles; Vibration in Mechanical Systems; Vibrations and Control of Systems; Vibrations: Modeling, Analysis, and Control. Atlanta, Georgia, USA. September 30–October 3, 2018. V003T35A002. ASME. https://doi.org/10.1115/DSCC2018-9094
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