Proceedings of 12th IEEE International Symposium on Intelligent Control
DOI: 10.1109/isic.1997.626536
|View full text |Cite
|
Sign up to set email alerts
|

Vibration control of flexible manipulators using smart structures

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

0
5
0
1

Publication Types

Select...
4
3

Relationship

0
7

Authors

Journals

citations
Cited by 8 publications
(6 citation statements)
references
References 13 publications
0
5
0
1
Order By: Relevance
“…The corresponding plant and controller equations become (10) where represents the sampling point and denotes , etc. The observer is similarly discretized as (11) As an example, consider the design of a digital servocompensator at the dominant mode of the robot's vibration frequency of 130 Hz. With s, the discrete-time state-space model of the plant (1) is given as (12) The corresponding discrete-time servocompensator is computed as (13) Combining the plant and the servocompensator together leads to the following fifth-order discrete-time augmented model, given in (14), shown at the bottom of the next page.…”
Section: B Design Of Digital Servocompensator For Vibration Controlmentioning
confidence: 99%
See 1 more Smart Citation
“…The corresponding plant and controller equations become (10) where represents the sampling point and denotes , etc. The observer is similarly discretized as (11) As an example, consider the design of a digital servocompensator at the dominant mode of the robot's vibration frequency of 130 Hz. With s, the discrete-time state-space model of the plant (1) is given as (12) The corresponding discrete-time servocompensator is computed as (13) Combining the plant and the servocompensator together leads to the following fifth-order discrete-time augmented model, given in (14), shown at the bottom of the next page.…”
Section: B Design Of Digital Servocompensator For Vibration Controlmentioning
confidence: 99%
“…For the former, various control strategies have been applied to close the loop between the sensors and the primary/secondary actuators so that the Manuscript underdamped modes are sufficiently stabilized. For example, the work in [6] applied surface bonded piezoelectric actuators and sensors for vibration control; the researchers in [10] considered neural networks based adaptive vibration control; the work in [11] utilized impedance control method of a flexible link using piezoelectric actuators; the work in [12] achieved position and vibration infinity control of a flexible arm with voice-coil actuators; and the researchers of [16] applied multilayered piezoelectric polymer for the control of a flexible element. In terms of disturbance rejection, the authors of [9] applied an adaptive fuzzy sliding-mode controller to a two-level spring-lumped mass dynamic absorber; the work in [13] described a disturbance estimation and compensation scheme to improve pointing accuracy; the work in [17] discussed an adaptive disturbance rejection method with application to a circular acoustic duct; and the authors of [18] considered electrorheological fluid-based variable viscous damper to suppress vibrations of industrial robots.…”
Section: Introductionmentioning
confidence: 99%
“…However, most of these studies have focused either on actuators such as those employed for precise positioning and active damping (Sacconi A. and W., 1999;Shuo Hung Chang and Chien, 1999;Kakatcioglu S. and H., 1997) or on sensors such as those that measure pressure and force (T. and J., 1997;Shimizu T. and K., 2002). However, our proposed sensor has characteristics of both an actuator that generates vibration and a sensor that can detect touch; i.e., it is a bilateral vibration touch sensor.…”
Section: Introductionmentioning
confidence: 99%
“…Tzou and Gadre [1] derived a multilayered shell actuator theory for distributed vibration control of exible shell structures. A technique to control the vibrations of N modes of a exible link attached to a rigid robot using piezoceramic actuators and bre optic sensors employing an impedance control technique was developed by Kalaycioglu et al [2]. Successful simulation and experimental results were obtained for the vibration control of the Titan-II robot arm.…”
Section: Introductionmentioning
confidence: 99%