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Tracking variable periodic signals with fixed sampling rate

conference contribution
posted on 06.12.2017, 00:00 by Zhenwei Cao, G Ledwich
Abstract - Recent research has shown that the repetitive control is very efficient in tracking periodic signals. However, the existing repetitive control algorithms require an integer number of samples in each period. In some industry applications where the signal period varies but other requirements on the data acquisition system force a fixed sample rate, the number of samples per period may be a non-integer. To address this problem, this paper presents a new adaptive repetitive control, consisting of two portions, the repetitive controller and the nominal controller. The repetitive controller uses a fictitious sampler operating at a variable sample rate maintained at multiple times of the signal frequency, while the nominal controller uses a fixed sampling rate. Interpolations are utilised to generate the fictitious samples required for the repetitive learning. The variation of the repetitive controller's sampling rate is limited to a small value, so that the system stability can be maintained without any changes on the controller parameters. The experimental results on the control of a servomotor demonstrate the effectiveness of the proposed schemes.

Funding

Category 1 - Australian Competitive Grants (this includes ARC, NHMRC)

History

Parent Title

Proceedings of the 40th IEEE Conference on Decision and Control : December 4-7, 2001 : Hyatt Regency Grand Cypress, Orlando, Florida, USA

Start Page

4885

End Page

4890

Number of Pages

6

Start Date

04/12/2001

Finish Date

07/12/2001

ISBN-10

0780370619

Location

Orlando, Florida

Publisher

IEEE

Place of Publication

Piscataway, NJ

Peer Reviewed

Yes

Open Access

No

Era Eligible

No

Name of Conference

IEEE Conference on Decision & Control

Usage metrics

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Categories

Exports