Emotional Learning Based Intelligent Controller for MIMO Peripheral Milling Process
عنوان مقاله: Emotional Learning Based Intelligent Controller for MIMO Peripheral Milling Process
شناسه ملی مقاله: JR_JACM-6-3_009
منتشر شده در شماره 3 دوره 6 فصل در سال 1399
شناسه ملی مقاله: JR_JACM-6-3_009
منتشر شده در شماره 3 دوره 6 فصل در سال 1399
مشخصات نویسندگان مقاله:
Arash Bahari Kordabad - Department of Mechanical Engineering, Sharif University of Technology, Tehran, Iran
Mehrdad Boroushaki - Department of Energy Engineering, Sharif University of Technology, Tehran, Iran
خلاصه مقاله:
Arash Bahari Kordabad - Department of Mechanical Engineering, Sharif University of Technology, Tehran, Iran
Mehrdad Boroushaki - Department of Energy Engineering, Sharif University of Technology, Tehran, Iran
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.
کلمات کلیدی: Emotional learning, Intelligent control, Peripheral milling, nonlinear MIMO, Time-delay, Sliding mode
صفحه اختصاصی مقاله و دریافت فایل کامل: https://civilica.com/doc/1025558/