Neural network based control of a suspension assembly with self-sensing micro-actuator for dual-stage HDD

Hiroyuki Yamada; Minoru Sasaki; Yoonsu Nam; Satoshi Ito

doi:10.1117/12.664573

2 May 2006 Neural network based control of a suspension assembly with self-sensing micro-actuator for dual-stage HDD

Hiroyuki Yamada, Minoru Sasaki, Yoonsu Nam, Satoshi Ito

Proceedings Volume 6042, ICMIT 2005: Control Systems and Robotics; 60420S (2006) https://doi.org/10.1117/12.664573
Event: ICMIT 2005: Merchatronics, MEMS, and Smart Materials, 2005, Chongqing, China

Abstract

This paper presents a system identification process and control system design of an artificial neural network based suspension assembly with self-sensing micro-actuator for dual-stage hard disk drive. Artificial neural networks can be used effectively for the identification and control of nonlinear dynamical systems such as a flexible micro-actuator and self-sensing system. Three neural networks are developed for the self-sensing micro-actuator, the first for system identification, the second for inverse model for control using laser sensor signal, and the third for inverse model for control using only self-sensing piezoelectric signal. And we use a neural network inverse model to control the suspension assembly which includes the micro-actuator pair. Simulation and experimental results show that good control performance can be achieved by using artificial neural networks approach.

Citation Download Citation

Hiroyuki Yamada, Minoru Sasaki, Yoonsu Nam, and Satoshi Ito "Neural network based control of a suspension assembly with self-sensing micro-actuator for dual-stage HDD", Proc. SPIE 6042, ICMIT 2005: Control Systems and Robotics, 60420S (2 May 2006); https://doi.org/10.1117/12.664573

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