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Chatter Mitigation in Milling Process Using Discrete Time Sliding Mode Control with Type 2-Fuzzy Logic System
Örebro University, School of Science and Technology.ORCID iD: 0000-0003-4720-0897
School of Engineering and Sciences, Tecnológico de Monterrey, Monterrey, NL, Mexico.
2019 (English)In: Applied Sciences: APPS, ISSN 1454-5101, E-ISSN 1454-5101, Vol. 9, no 20, article id 4380Article in journal (Refereed) Published
Abstract [en]

In order to achieve a high-quality machining process with superior productivity, it is very important to tackle the phenomenon of chatter in an effective manner. The problems like tool wear and improper surface finish affect the milling process and are caused by self-induced vibration termed as chatter. A strategy to control chatter vibration actively in the milling process is presented. The mathematical modeling of the process is carried out initially. In this paper, an innovative technique of discrete time sliding mode control (DSMC) is blended with the type-2 fuzzy logic system. The proposed active controller results in a significantly high mitigation of vibration. The DSMC is linked to the time-varying gain which is an innovative approach to mitigate chattering. The theorem is laid down which validates that the system states are bounded in the case of DSMC-type-2 fuzzy. Stability analysis is carried out using Lyapunov candidate. The nonlinearities linked with the cutting forces and damper friction are handled effectively by using the type-2 fuzzy logic system. The performance of the DSMC-type-2 fuzzy concept is compared with the discrete time PID (D-PID) and discrete time sliding mode control for validating the effectiveness of the controller. The better performance of DSMC-type-2 fuzzy over D-PID and DSMC-T1 fuzzy in the minimization of milling chatter are validated by a numerical analysis approach.

Place, publisher, year, edition, pages
Basel, Switzerland: MDPI, 2019. Vol. 9, no 20, article id 4380
Keywords [en]
Sliding mode control, vibration control, fuzzy logic
National Category
Mechanical Engineering Control Engineering
Identifiers
URN: urn:nbn:se:oru:diva-77448DOI: 10.3390/app9204380ISI: 000496269400183Scopus ID: 2-s2.0-85074215360OAI: oai:DiVA.org:oru-77448DiVA, id: diva2:1362163
Note

Funding Agency:

Tecnologico de Monterrey, School of Engineering and Sciences, Monterrey, NL, Mexico

Available from: 2019-10-18 Created: 2019-10-18 Last updated: 2019-12-03Bibliographically approved

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