scholarly journals Feedforward control design for shaking table by Data driven control considering control input limitation

2020 ◽  
Vol 53 (2) ◽  
pp. 9011-9016
Author(s):  
Shinji Ishihara ◽  
Koichi Tahara ◽  
Koji Hironaka
Author(s):  
Prateek Shah ◽  
Roberto Horowitz

Abstract The multi actuator drive technology was unveiled by Seagate in December 2017, a breakthrough that can almost double the data performance of the future generation hard disk drives. This technology will equip drives with dual actuators operating on the same pivot point. Each actuator will control half of the drive's arms. Since two actuators operate independently on the same pivot timber, the control forces and torques generated by one actuator can affect the operation of the other actuator. We will have a scenario when one actuator is track seeking and the other actuator is in the track following mode. The track seeking actuator will impart vibration disturbances to the track following actuator. Previously, we presented a single-input single-output (SISO) data driven feedforward control design method [1] to obtain feedforward controllers for the voice coil motor and the micro actuator sequentially. The design was based on multiple frequency response measurements of the actuators. In this paper, firstly, we present a single-input multi-output (SIMO) data driven feedforward control design technique to simultaneously obtain feedforward controllers for the voice coil motor and the micro actuator. This methodology will obtain a common controller for multiple drives. We will compare the performance of this algorithm with the sequential SISO design technique [1]. Secondly, we present an add-on input shaping technique to suppress the residual vibration.


2017 ◽  
Vol 354 (6) ◽  
pp. 2628-2647 ◽  
Author(s):  
Lucíola Campestrini ◽  
Diego Eckhard ◽  
Alexandre Sanfelice Bazanella ◽  
Michel Gevers

Author(s):  
Omid Bagherieh ◽  
Prateek Shah ◽  
Roberto Horowitz

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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