Emotional Learning Based Intelligent Controller for MIMO Peripheral Milling Process

Q: How can I download an article?

To download an article from SID, first log in to the site, search for the article title, and click on the 'Download Article' option.

Q: How can I download an ISI article?

To download an ISI article on SID, enter the keyword or article title in the search bar, view the relevant results, click on the desired article, and select the 'Download Article' option.

Q: How can I access the SID database?

To access the SID database, visit SID.ir, create an account, and log in to access scientific resources.

Q: Is downloading articles from SID free?

Some articles on SID are available for free, while others require payment. Details are specified on the article's page.

Bahari Kordabad Arash; Boroushaki Mehrdad

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Journal Paper

Paper Information

Journal: JOURNAL OF APPLIED AND COMPUTATIONAL MECHANICS Year:2020 | Volume:6 | Issue:3 Page(s): 480-492

Download Full-Text

View:

130

Download:

121

Cites:

Information Journal Paper

Title

Emotional Learning Based Intelligent Controller for MIMO Peripheral Milling Process

Author(s)

Bahari Kordabad Arash | Boroushaki Mehrdad | Issue Writer Certificate

Keywords

Emotional learning

Intelligent control

Peripheral milling

nonlinear MIMO

Time-delay

Sliding mode

Abstract

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.

Multimedia

No record.

Cites

No record.

References

No record.

Cite

APA: Copy

Bahari Kordabad, Arash, & Boroushaki, Mehrdad. (2020). Emotional Learning Based Intelligent Controller for MIMO Peripheral Milling Process. JOURNAL OF APPLIED AND COMPUTATIONAL MECHANICS, 6(3), 480-492. SID. https://sid.ir/paper/353331/en

Vancouver: Copy

Bahari Kordabad Arash, Boroushaki Mehrdad. Emotional Learning Based Intelligent Controller for MIMO Peripheral Milling Process. JOURNAL OF APPLIED AND COMPUTATIONAL MECHANICS[Internet]. 2020;6(3):480-492. Available from: https://sid.ir/paper/353331/en

IEEE: Copy

Arash Bahari Kordabad, and Mehrdad Boroushaki, “Emotional Learning Based Intelligent Controller for MIMO Peripheral Milling Process,” JOURNAL OF APPLIED AND COMPUTATIONAL MECHANICS, vol. 6, no. 3, pp. 480–492, 2020, [Online]. Available: https://sid.ir/paper/353331/en

Related Journal Papers

No record.

Related Seminar Papers

No record.

Related Plans

No record.

Recommended Workshops