Design of Two Degree of Freedom Controller Using Data Conversion Method

Chinthaka Premachandra

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

Several data-driven design methods for a feedback controller for an unknown plant were studied. The data conversion method (DCM), which is one of the methods, has improved the design ability for more various plants by using a new approach. This paper applies the revised DCM to a two degree of freedom controller. First, the paper discusses a theory when applying DCM to a two degree of freedom controller. Then, it discusses the application of DCM to three structures of two degree of freedom controllers. Several experiments show that a controller can be directly designed from outline waveforms to a two degree of freedom controller. As a result, the paper shows that DCM is a convenient method for designing a two degree of freedom controller compared to conventional methods.
Original languageEnglish
Title of host publication16th International Conference on Control, Automation and Systems
PublisherIEEE
Publication statusPublished - 2016 Oct

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Premachandra, C. (2016). Design of Two Degree of Freedom Controller Using Data Conversion Method. In 16th International Conference on Control, Automation and Systems IEEE.

Design of Two Degree of Freedom Controller Using Data Conversion Method. / Premachandra, Chinthaka.

16th International Conference on Control, Automation and Systems. IEEE, 2016.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Premachandra, C 2016, Design of Two Degree of Freedom Controller Using Data Conversion Method. in 16th International Conference on Control, Automation and Systems. IEEE.
Premachandra C. Design of Two Degree of Freedom Controller Using Data Conversion Method. In 16th International Conference on Control, Automation and Systems. IEEE. 2016
Premachandra, Chinthaka. / Design of Two Degree of Freedom Controller Using Data Conversion Method. 16th International Conference on Control, Automation and Systems. IEEE, 2016.
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