Enhanced Indirect-Driven Self-Sensing Actuation (EIDSSA) is proposed to eliminate the coupling issue between sensing and actuation by improving the topology in [1]. With EIDSSA, actuation efforts can be fully delivered to PZT elements without compromising sensing performance. In addition, EIDSSA can be seamless switched on and off without servo loop retuning. A theoretical framework is established to quantitatively analyse the performance of self-sensing actuation in terms of sensing, actuation, decoupling and amplification. An implementation of EIDSSA on a commercial dual-stage Hard Disk Drive (HDD) shows that sensing can be designed independently from actuation and Total-Runout (TRO) is slightly improved with EIDSSA compared to baseline set-up when same servo control loop is used.
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ASME 2016 Conference on Information Storage and Processing Systems
June 20–21, 2016
Santa Clara, California, USA
Conference Sponsors:
- Information Storage and Processing Systems Division
ISBN:
978-0-7918-4988-0
PROCEEDINGS PAPER
Enhanced Indirect-Driven Self-Sensing Actuation for Piezoelectric Structures Available to Purchase
Bin Hu,
Bin Hu
Western Digital R&D Centre, Singapore, Singapore
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Jie Wan,
Jie Wan
Western Digital R&D Centre, Singapore, Singapore
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Chee Khiang Pang,
Chee Khiang Pang
National University of Singapore, Singapore, Singapore
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Fan Hong,
Fan Hong
University of Glasgow Singapore, Singapore, Singapore
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Jern Khang Tan
Jern Khang Tan
Western Digital Asia, Malaysia
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Bin Hu
Western Digital R&D Centre, Singapore, Singapore
Jie Wan
Western Digital R&D Centre, Singapore, Singapore
Chee Khiang Pang
National University of Singapore, Singapore, Singapore
Fan Hong
University of Glasgow Singapore, Singapore, Singapore
Jern Khang Tan
Western Digital Asia, Malaysia
Paper No:
ISPS2016-9505, V001T02A001; 3 pages
Published Online:
September 23, 2016
Citation
Hu, B, Wan, J, Pang, CK, Hong, F, & Tan, JK. "Enhanced Indirect-Driven Self-Sensing Actuation for Piezoelectric Structures." Proceedings of the ASME 2016 Conference on Information Storage and Processing Systems. ASME 2016 Conference on Information Storage and Processing Systems. Santa Clara, California, USA. June 20–21, 2016. V001T02A001. ASME. https://doi.org/10.1115/ISPS2016-9505
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