Design, Fabrication, and Control of a High-Aspect Ratio Microactuator for Vibration Suppression in a Hard Disk Drive

Oldham, Kenn R.; Huang, Xinghui; Chahwan, Alain; Horowitz, Roberto

doi:10.3182/20050703-6-cz-1902.01214

Cited by 13 publications

(8 citation statements)

References 15 publications

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“…Some applications are structures with active control [1][2][3], mechatronics [4][5][6][7], mechanisms [8][9][10][11][12][13], microelectrical mechanical systems (MEMS) [14][15][16], and chemical processing applications [17,18]. These applications include important systems such as robotics [19], aeronautical structures, machine tools, sensors and automotive applications [20,21].…”

Section: Introductionmentioning

confidence: 99%

Relationship between coupling and the controllability Grammian in co-design problems

2015

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a b s t r a c tDesign of smart products requires optimization of both the physical device, or artifact, and its controller. While some components of coupling can be computed a priori, the existence and strength of coupling between these problems over the entire Pareto frontier currently cannot be computed until they are solved. If coupling is expected to be present, then the problem is often solved as a simultaneous, or all-in-one, optimization. This solution process is more difficult, computationally intensive, and operationally inconvenient than a sequential solution method. Consequently, knowing in advance whether coupling is weak or nonexistent is useful.In this paper, a general formulation for the control problem is given, which includes components for the speed of response, accuracy of the response, and control effort. While this general formulation does not permit a priori determination of coupling, the existence and strength of coupling can be determined for several special cases, which represent common and important control problems. Controllability is a property of the uncontrolled system and does not depend on the controller design. These relationships between coupling and controllability can be utilized in problem formulation, choice of solution method, and development of Control Proxy Functions (CPFs) for each of these problem types. The concepts developed are demonstrated via design of a positioning gantry and a MEMS actuator.

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Section: Introductionmentioning

confidence: 99%

Relationship between coupling and the controllability Grammian in co-design problems

2015

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“…(6), but does not require the solution of Eqs. (1)- (5). Of course, if the point does happen to be on the Pareto frontier, then b C v ¼ C v .…”

Section: Introductionmentioning

confidence: 99%

“…[1][2][3]), micro-electrical mechanical systems (MEMS, e.g., Refs. [4,5]), and robotics and mechatronics (e.g., Refs. [6][7][8]).…”

Section: Introductionmentioning

confidence: 99%

Control Proxy Functions for Sequential Design and Control Optimization

Peters

Papalambros²,

Ulsoy

2011

Journal of Mechanical Design

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Optimal system design of "smart" products requires optimization of both the artifact and its controller. When the artifact and the controller designs are independent, the system solution is straightforward through sequential optimization. When the designs are coupled, combined simultaneous optimization can produce system-optimal results, but presents significant computational and organizational complexity. This paper presents a method that produces results comparable with those found with a simultaneous solution strategy, but with the simplicity of the sequential strategy. The artifact objective function is augmented by a control proxy function (CPF), representing the artifact's ease of control. The key to successful use of this method is the selection of an appropriate CPF. Four theorems that govern the choice and evaluation of a CPF are given. Each theorem is illustrated using a simple mathematical example. Specific CPFs are then presented for particular problem formulations, and the method is applied to the optimal design and control of a micro-electrical mechanical system actuator.

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“…Coupled systems reported in the literature are in diverse areas including structural systems with active control [e.g., Haftka et al (1986); Rao and Pan (1990)], micro-electrical mechanical systems, or MEMS [e.g., Carley et al (2001); Oldham et al (2005)], and robotics and mechatronics [e.g., Ravichandran et al (2006); Zhu et al (2001)]. In robotic applications, typical objectives for the artifact design are minimizing weight or minimizing deflection.…”

Section: Introductionmentioning

confidence: 99%

Sequential Co-Design of an Artifact and its Controller Via Control Proxy Functions

Peters

Papalambros

Ulsoy

2010

IFAC Proceedings Volumes

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Design, Fabrication, and Control of a High-Aspect Ratio Microactuator for Vibration Suppression in a Hard Disk Drive

Cited by 13 publications

References 15 publications

Relationship between coupling and the controllability Grammian in co-design problems

Relationship between coupling and the controllability Grammian in co-design problems

Control Proxy Functions for Sequential Design and Control Optimization

Sequential Co-Design of an Artifact and its Controller Via Control Proxy Functions

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