| Autor: |
Arash Bahari Kordabad, Mehrdad Boroushaki |
| Jazyk: |
angličtina |
| Rok vydání: |
2020 |
| Předmět: |
|
| Zdroj: |
Journal of Applied and Computational Mechanics, Vol 6, Iss 3, Pp 480-492 (2020) |
| Druh dokumentu: |
article |
| ISSN: |
2383-4536 |
| DOI: |
10.22055/jacm.2019.30188.1696 |
| Popis: |
During the milling process, one of the most important factors in reducing tool life expectancy and quality of workpiece is the chattering phenomenon due to self-excitation. The milling process is considered as a MIMO strongly coupled nonlinear plant with time delay terms in cutting forces. We stabilize the plant using two independent Emotional Learning-based Intelligent Controller (ELIC) in parallel. Control inputs are considered as forces Ux and Uy in two directions x and y, which are applied by the piezoelectrics. The ELIC consists of three elements; Critic, TSK controller and the learning element. The results of the ELIC have been compared with a Sliding Mode Controller (SMC). The simulation for the nominal plant shows better performance of the ELIC in IAE and ITSE values at least 86% in the x-direction and 79% in the y-direction. Similar simulation for an uncertain plant also shows an improvement of at least 89% in the x-direction and 97% in the y-direction. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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