An Iterative Learning Control design for Self-Servowriting in Hard Disk Drives using L1 optimal control

2009 ◽  
Author(s):  
Feng Dan Dong ◽  
Masayoshi Tomizuka
Keyword(s):  
Optimal Control ◽  
Iterative Learning Control ◽  
Hard Disk Drives ◽  
Control Design ◽  
Hard Disk ◽  
Learning Control ◽  
Iterative Learning ◽  
Disk Drives

Application of Mixed H2/H∞ Data Driven Control Design to Dual Stage Hard Disk Drives

2018 ◽  
Author(s):  
Omid Bagherieh ◽  
Prateek Shah ◽  
Roberto Horowitz
Keyword(s):  
Closed Loop ◽  
Transfer Functions ◽  
Hard Disk Drives ◽  
Control Design ◽  
Hard Disk ◽  
Data Driven ◽  
Disk Drives ◽  
Design Strategies ◽  
Data Driven Approach ◽  
Dual Stage

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.

Passivity based stabilization of repetitive processes and iterative learning control design

2018 ◽  
Vol 122 ◽  
pp. 101-108 ◽  
Author(s):  
Pavel Pakshin ◽  
Julia Emelianova ◽  
Mikhail Emelianov ◽  
Krzysztof Galkowski ◽  
Eric Rogers
Keyword(s):  
Iterative Learning Control ◽  
Control Design ◽  
Learning Control ◽  
Iterative Learning ◽  
Repetitive Processes
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