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Identification and control of a comp...

Yen, Jia-Yush.

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Identification and control of a computer disk drive actuator.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Identification and control of a computer disk drive actuator./
作者:	Yen, Jia-Yush.
出版者:	Ann Arbor : ProQuest Dissertations & Theses, : 1989,
面頁冊數:	186 p.
附註:	Source: Dissertations Abstracts International, Volume: 51-09, Section: B.
Contained By:	Dissertations Abstracts International51-09B.
標題:	Mechanical engineering. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=9006574

Identification and control of a computer disk drive actuator.
Yen, Jia-Yush.

Identification and control of a computer disk drive actuator. - Ann Arbor : ProQuest Dissertations & Theses, 1989 - 186 p.

Source: Dissertations Abstracts International, Volume: 51-09, Section: B.

Thesis (Ph.D.)--University of California, Berkeley, 1989.

This item must not be sold to any third party vendors.

The application of time domain system identification and modem control theory to computer disk drive actuator servo design is discussed. For system identification, the Laser Doppler Anemometry (LDA) technique is used to measure the high frequency radial movement of the actuator head. An adaptive identification algorithm is developed which directly identifies a time-domain model of the actuator and is suitable for on-line applications. Model validation techniques based on statistical tests are discussed. In order to improve the model frequency response, frequency weighted identification algorithms are discussed. When different sampling frequencies are available, a method is proposed to combine models identified using different sampling frequencies, to obtain an overall model which is accurate in the low frequency region, while still being able to characterize the system high frequency behavior. Two controller design methodologies based on the Loop Transfer Recovery (LTR) approach are proposed. In the first design methodology the discrete-time Linear Quadratic Gaussian with Loop Transfer Recovery (LQG/LTR) results using both prediction estimation and current estimation are presented. The second methodology is based on the minimization of the $H\\sb2$ norm of the loop transfer recovery error transfer matrix, a closed form solution for the optimal compensator ($H\\sb2$-LTR compensator) is derived. The loop transfer recovery properties of the compensators derived using the two above mentioned methodologies are compared. Finally, the synthesis of a discrete-time track-following controller for a compound disk file actuator is presented. A compound actuator is comprised of a light weight fine actuator riding on top of a coarse actuator to increase the system bandwidth. The performance and robustness criteria of the design are translated into multi-input multi-output frequency domain specifications. The singular value analysis technique is used to evaluate the controller robustness against manufacturing tolerances and unmodeled resonances. A technique utilizing Kalman filtering with fictitious noises is presented for shaping the closed-loop frequency responses of the system.Subjects--Topical Terms:

649730
Mechanical engineering.

Identification and control of a computer disk drive actuator.
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100 1 $a Yen, Jia-Yush. $3 3548130
245 1 0 $a Identification and control of a computer disk drive actuator.
260 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 1989
300 $a 186 p.
500 $a Source: Dissertations Abstracts International, Volume: 51-09, Section: B.
500 $a Publisher info.: Dissertation/Thesis.
500 $a Advisor: Horowitz, Roberto.
502 $a Thesis (Ph.D.)--University of California, Berkeley, 1989.
506 $a This item must not be sold to any third party vendors.
506 $a This item must not be added to any third party search indexes.
520 $a The application of time domain system identification and modem control theory to computer disk drive actuator servo design is discussed. For system identification, the Laser Doppler Anemometry (LDA) technique is used to measure the high frequency radial movement of the actuator head. An adaptive identification algorithm is developed which directly identifies a time-domain model of the actuator and is suitable for on-line applications. Model validation techniques based on statistical tests are discussed. In order to improve the model frequency response, frequency weighted identification algorithms are discussed. When different sampling frequencies are available, a method is proposed to combine models identified using different sampling frequencies, to obtain an overall model which is accurate in the low frequency region, while still being able to characterize the system high frequency behavior. Two controller design methodologies based on the Loop Transfer Recovery (LTR) approach are proposed. In the first design methodology the discrete-time Linear Quadratic Gaussian with Loop Transfer Recovery (LQG/LTR) results using both prediction estimation and current estimation are presented. The second methodology is based on the minimization of the $H\\sb2$ norm of the loop transfer recovery error transfer matrix, a closed form solution for the optimal compensator ($H\\sb2$-LTR compensator) is derived. The loop transfer recovery properties of the compensators derived using the two above mentioned methodologies are compared. Finally, the synthesis of a discrete-time track-following controller for a compound disk file actuator is presented. A compound actuator is comprised of a light weight fine actuator riding on top of a coarse actuator to increase the system bandwidth. The performance and robustness criteria of the design are translated into multi-input multi-output frequency domain specifications. The singular value analysis technique is used to evaluate the controller robustness against manufacturing tolerances and unmodeled resonances. A technique utilizing Kalman filtering with fictitious noises is presented for shaping the closed-loop frequency responses of the system.
590 $a School code: 0028.
650 4 $a Mechanical engineering. $3 649730
650 4 $a Automotive materials. $3 3548131
650 4 $a Systems design. $3 3433840
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690 $a 0540
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710 2 $a University of California, Berkeley. $3 687832
773 0 $t Dissertations Abstracts International $g 51-09B.
790 $a 0028
791 $a Ph.D.
792 $a 1989
793 $a English
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=9006574