![Sample our Engineering & Technology journals, sign in here to start your access, latest two full volumes FREE to you for 14 days]({"type":"image" , "src" : "/sda/5933/TOC-Subject-Sample-2021-Engineering-Tech.jpg"})
Abstract
One approach in servo control to achieve a high track density in hard disk drives is to minimise the H2 norm from disturbances to position error signal. The H2 performance optimisation is then deemed as a matter of great significance. This paper presents an integrated design method involving plant modification and controller design sequentially to achieve the H2 performance requirement. A linear matrix inequality-based approach is developed for the plant damping ratio modification using the plant output. The proposed model modification method is then applied to the voice coil motor plant in hard disk drives, followed by the optimal H2 controller design using the Riccati equation method with the modified plant. It turns out that the modified plant leads to better H2 performance, stability margins than the original plant.
Additional information
Notes on contributors
Tingting Gao
Tingting Gao received her BS and MS degrees in mathematics from Northeastern University, Shenyang, China, in 2005 and 2008, respectively, and her PhD degree in Electrical and Electronics Engineering from Nanyang Technological University, Singapore, in 2013. Since 2013, she has been with School of Mechanical and Electrical Engineering, Zhejiang Textile & Fashion College, Zhejiang Province, P.R. China. Her research interests include high precision motion control and integrative approach for controller design for optimal performance of hard disk drive systems.
Chunling Du
Chunling Du received the BE and ME degrees in electrical engineering from Nanjing University of Science and Technology, Nanjing, China, and the PhD degree in electrical engineering from Nanyang Technological University, Singapore. She is currently a senior researcher in Data Storage Institute (DSI), A*STAR, Singapore. Her research interests include motion control of dynamic systems, vibration control, control and filtering of two-dimensional systems and structure health monitoring. She has published about 90 papers, and two books of H-infinity Control and Filtering of Two-dimensional Systems (Springer, 2002) and Modeling and Control of Vibration in Mechanical Systems (CRC, 2010).
Weijie Sun
Weijie Sun received the PhD degree from the South China University of Technology in 2009. He is now a lecturer in South China University of Technology. He is also with the Joint Research Center for Automation Science and Engineering, Chinese University of Hong Kong and South China University of Technology. His research interests are robust and adaptive control of non-linear systems, and with applications to MEMS and power electronics.
Lihua Xie
Lihua Xie received his BE and ME degrees in Electrical Engineering from Nanjing University of Science and Technology in 1983 and 1986, respectively, and his PhD degree in Electrical Engineering from the University of Newcastle, Australia, in 1992. Since 1992, he has been with the School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore, where he is currently a professor and the director at Centre for Intelligent Machines. He held teaching appointments in the Department of Automatic Control, Nanjing University of Science and Technology from 1986 to 1989. Dr Xie's current research interests include robust control and estimation, networked control, sensor networks and multi-agent systems. He has served as an Associate Editor of IEEE Transactions on Automatic Control, Automatica, IEEE Transactions on Control Systems Technology, IEEE Transactions on Circuits and Systems-II, International Journal of Control, Automation and Systems and IET Proceedings on Control Theory and Applications. Dr Xie is a Fellow of IEEE, Fellow of IFAC and IEEE Distinguished Lecturer.