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An enhanced PI controller based on adaptive iterative learning control.
- Source :
-
International Journal of Robust & Nonlinear Control . Dec2023, Vol. 33 Issue 18, p11200-11217. 18p. - Publication Year :
- 2023
-
Abstract
- Summary: This paper presents a PI‐type adaptive iterative learning control (PI‐AILC) method for nonlinear processes, which targets enhancing system tracking capabilities by adapting setpoints of the PI controller. First, the proposed method employs compact form dynamic linearization technology to obtain a local linear representation of unknown nonlinear systems. Subsequently, the iterative learning controller gain is adaptively updated using the local linear expression to ensure the optimality of the setpoints. Finally, a pre‐learning mechanism for offline data is introduced to augment the efficiency of the iterative mechanism further. The proof of strict convergence for PI‐AILC is established. Experimental results substantiate the efficacy of PI‐AILC. [ABSTRACT FROM AUTHOR]
- Subjects :
- *ITERATIVE learning control
*COMPACTING
*NONLINEAR systems
Subjects
Details
- Language :
- English
- ISSN :
- 10498923
- Volume :
- 33
- Issue :
- 18
- Database :
- Academic Search Index
- Journal :
- International Journal of Robust & Nonlinear Control
- Publication Type :
- Academic Journal
- Accession number :
- 173551614
- Full Text :
- https://doi.org/10.1002/rnc.6940