國立虎尾科技大學 |

Advanced control techniques for motion control problem.

紀錄類型:	書目-語言資料,手稿 : Monograph/item
正題名/作者:	Advanced control techniques for motion control problem./
作者:	Parvez, Shahid.
面頁冊數:	1 online resource (121 pages)
附註:	Source: Dissertations Abstracts International, Volume: 65-12, Section: B.
Contained By:	Dissertations Abstracts International65-12B.
標題:	Electrical engineering. -
電子資源:	click for full text (PQDT)
ISBN:	9780496625055

Advanced control techniques for motion control problem.
Parvez, Shahid.

Advanced control techniques for motion control problem. - 1 online resource (121 pages)

Source: Dissertations Abstracts International, Volume: 65-12, Section: B.

Thesis (D.Eng.)--Cleveland State University, 2003.

Includes bibliographical references

Common methods used for solving low-frequency mechanical resonance in industrial servo systems are often inadequate. Linear and non-linear algorithms to cure low frequency mechanical resonance are proposed. A novel controller based on the multi-resolution decomposition property of wavelets, called the Multiresolution Wavelet Controller is developed. The controller is similar to a Proportional-Integral-Derivative controller in principle and application. The output from a motion control system represents the cumulative effect of uncertainties such as measurement noise, frictional variation and external torque disturbances, which manifest at different scales. The wavelet is used to decompose the error signal into signals at different scales. These signals are then used to compensate for the uncertainties in the plant. This controller is further applied to other industrial applications to validate the control scheme. A scheme to generate low noise differential signal using wavelets is also developed. Wavelet transforms are investigated for their ability to solve industrial control issues such as noise, disturbance, and improving loop bandwidth.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2024

Mode of access: World Wide Web

ISBN: 9780496625055Subjects--Topical Terms:

596380
Electrical engineering.
Subjects--Index Terms:

DenoisingIndex Terms--Genre/Form:

554714
Electronic books.

Advanced control techniques for motion control problem.
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500 $a Publisher info.: Dissertation/Thesis.
500 $a Advisor: Gao, Zhiqiang.
502 $a Thesis (D.Eng.)--Cleveland State University, 2003.
504 $a Includes bibliographical references
520 $a Common methods used for solving low-frequency mechanical resonance in industrial servo systems are often inadequate. Linear and non-linear algorithms to cure low frequency mechanical resonance are proposed. A novel controller based on the multi-resolution decomposition property of wavelets, called the Multiresolution Wavelet Controller is developed. The controller is similar to a Proportional-Integral-Derivative controller in principle and application. The output from a motion control system represents the cumulative effect of uncertainties such as measurement noise, frictional variation and external torque disturbances, which manifest at different scales. The wavelet is used to decompose the error signal into signals at different scales. These signals are then used to compensate for the uncertainties in the plant. This controller is further applied to other industrial applications to validate the control scheme. A scheme to generate low noise differential signal using wavelets is also developed. Wavelet transforms are investigated for their ability to solve industrial control issues such as noise, disturbance, and improving loop bandwidth.
533 $a Electronic reproduction. $b Ann Arbor, Mich. : $c ProQuest, $d 2024
538 $a Mode of access: World Wide Web
650 4 $a Electrical engineering. $3 596380
653 $a Denoising
653 $a Low-frequency resonance
653 $a Motion control
653 $a Wavelet transforms
655 7 $a Electronic books. $2 local $3 554714
690 $a 0544
710 2 $a ProQuest Information and Learning Co. $3 1178819
710 2 $a Cleveland State University. $3 1478916
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