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Emotional learning based intelligent controller for MIMO peripheral milling process

Bahari Kordabad, A ; Sharif University of Technology | 2020

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  1. Type of Document: Article
  2. DOI: 10.22055/JACM.2019.30188.1696
  3. Publisher: Shahid Chamran University of Ahvaz , 2020
  4. Abstract:
  5. 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. © 2020 by the authors
  6. Keywords:
  7. Emotional learning ; Intelligent control ; Nonlinear MIMO ; Peripheral milling ; Sliding mode ; Time-delay
  8. Source: Journal of Applied and Computational Mechanics ; Volume 6, Issue 3 , 2020 , Pages 480-492
  9. URL: https://jacm.scu.ac.ir/article_14664.html