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Immunological mechanism inspired iterative learning control.
- Source :
-
Neurocomputing . Dec2014, Vol. 145, p392-401. 10p. - Publication Year :
- 2014
-
Abstract
- In this paper, an iterative learning control method based on the recognition, response, and memory mechanism of immune system (IRRM-ILC) is proposed. According to the immunological recognition, response, and memory processes, several new components are designed and then combined with the conventional ILC. The proposed IRRM-ILC controller can mitigate the disturbances by detecting, identifying, and memorizing them. Thereby, the anti-disturbance ability of the conventional ILC is enhanced. The proposed IRRM-ILC is applied to a temperature control system of wet spinning coagulation process. Simulation results with random and repeated disturbances demonstrate that the IRRM-ILC has a better performance than the conventional ILC in terms of convergence and stability in the presence of disturbances. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 09252312
- Volume :
- 145
- Database :
- Academic Search Index
- Journal :
- Neurocomputing
- Publication Type :
- Academic Journal
- Accession number :
- 97843180
- Full Text :
- https://doi.org/10.1016/j.neucom.2014.05.013