PID filter-shaped optimal PI tracker, state estimator, and EID estimator for continuous-time systems

This paper proposes a proportional-integral-differential (PID) filter-shaped optimal PI tracker for on-line robust optimal tracking control of a system with unknown disturbances. The proposed optimal PI tracker consists of both a modified state estimator and the newly modified equivalent input distu...

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Bibliographic Details
Published inInternational journal of systems science Vol. 51; no. 9; pp. 1556 - 1577
Main Authors Tsai, Jason Sheng Hong, Hsu, Ya Chiu, Chen, Hung Jen, Guo, Shu Mei, Shieh, Leang-San, Canelon, Jose I.
Format Journal Article
LanguageEnglish
Published London Taylor & Francis 03.07.2020
Taylor & Francis Ltd
Subjects
Continuous time systems
Disturbance estimation
Disturbances
EID estimator
On-line systems
optimal PI tracker
Robust control
servo control
Servocontrol
Tracking control
unknown input estimation
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Summary:This paper proposes a proportional-integral-differential (PID) filter-shaped optimal PI tracker for on-line robust optimal tracking control of a system with unknown disturbances. The proposed optimal PI tracker consists of both a modified state estimator and the newly modified equivalent input disturbance (EID) estimator. The main contributions of this paper are: (1) The conventional EID estimator is significantly modified to improve the tracking performances of a system with unknown disturbances; and (2) The improved EID estimator can be simply regarded as a plug-in component of the compensator, to perform on-line optimal tracking control of square/non-square servo systems with unknown disturbances.
ISSN:0020-7721
1464-5319
DOI:10.1080/00207721.2020.1766154