scholarly journals Chatter Mitigation in Milling Process Using Discrete Time Sliding Mode Control with Type 2-Fuzzy Logic System

2019 ◽  
Vol 9 (20) ◽  
pp. 4380 ◽  
Author(s):  
Satyam Paul ◽  
Ruben Morales-Menendez
Keyword(s):  
Fuzzy Logic ◽  
Sliding Mode Control ◽  
Discrete Time ◽  
Sliding Mode ◽  
Fuzzy Logic System ◽  
Milling Process ◽  
Machining Process ◽  
Mode Control ◽  
Logic System

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.

Fuzzy Logic System-based Sliding-Mode Control for Three-Level NPC Converters

2021 ◽  
pp. 1-1
Author(s):  
Hao Lin ◽  
Yunfei Yin ◽  
Xiaoning Shen ◽  
Abraham Marquez Alcaide ◽  
Jianxing Liu ◽  
...  
Keyword(s):  
Fuzzy Logic ◽  
Sliding Mode Control ◽  
Sliding Mode ◽  
Fuzzy Logic System ◽  
Mode Control ◽  
Logic System

scholarly journals Adaptive Fuzzy Sliding Mode Control for the Probe Soft Landing on the Asteroids with Weak Gravitational Field

2015 ◽  
Vol 2015 ◽  
pp. 1-8 ◽  
Author(s):  
Yuanchun Li ◽  
He Wang ◽  
Bo Zhao ◽  
Keping Liu
Keyword(s):  
Fuzzy Logic ◽  
Sliding Mode Control ◽  
Sliding Mode ◽  
Fuzzy Logic System ◽  
Soft Landing ◽  
Adaptive Fuzzy ◽  
Mode Control ◽  
Weak Gravitational Field ◽  
Fuzzy Sliding Mode ◽  
Logic System

For the trajectory control of the probe soft landing on the asteroids with weak gravitational field, this paper presents a combined integral sliding mode control with an adaptive fuzzy logic system, named adaptive fuzzy sliding mode control (AFSMC) scheme. Considering the uncertainty of the orbit dynamics model in the small body fixed coordinate system, and the polyhedron modeling uncertainty in the gravitational potential, a fuzzy logic system is adopted to approximate the upper bound of the uncertainties. In addition, a robust control item is introduced to compensate for the approximation error of fuzzy logic system. The designed adaptive law and robust item make the closed-loop control stable and the tracking errors are convergent to zero. The controller not only guarantees the rapidity and accuracy of the desired trajectory tracking, but also enhances the robustness of the control system, improving the dynamic tracking performance for the probe soft landing on asteroids. Finally, the contrastive simulation results are presented to show the feasibility and effectiveness of the proposed control scheme.

scholarly journals A Novel Fuzzy Sliding-Mode Control for Discrete-Time Uncertain System

2016 ◽  
Vol 2016 ◽  
pp. 1-9 ◽  
Author(s):  
T. H. Yan ◽  
B. Wu ◽  
B. He ◽  
W. H. Li ◽  
R. B. Wang
Keyword(s):  
Fuzzy Logic ◽  
Sliding Mode Control ◽  
Discrete Time ◽  
Sliding Mode ◽  
Dynamic Performance ◽  
Uncertain System ◽  
Sliding Mode Controller ◽  
Reaching Law ◽  
Mode Control ◽  
Dynamic Performances

This paper considers the sliding-mode control problem for discrete-time uncertain systems. It begins by presenting a discrete variable speed reaching law and a discrete-time sliding-mode controller (DSMC) designed using the proposed reaching law, followed by an analysis of their stability and dynamic performance. A sliding-mode controller with simple fuzzy logic is then proposed to further strengthen the dynamic performance of the proposed sliding-mode controller. Finally, the presented DSMC and the DSMC with fuzzy control for adjusting the parameters in this paper are compared with one of the previous proposed classic DSMC systems. The results of this simulation show that the DSMC presented here can suppress chatter and ensure good dynamic performances when fuzzy logic is used to tune the parameters.

scholarly journals Hybrid Type-2 Fuzzy-Sliding Mode Controller for Navigation of Mobile Robot in an Environment Containing a Dynamic Target

2018 ◽  
Vol 2018 ◽  
pp. 1-10 ◽  
Author(s):  
Dorra Ayedi ◽  
Maïssa Boujelben ◽  
Chokri Rekik
Keyword(s):  
Fuzzy Logic ◽  
Mobile Robot ◽  
Hybrid Control ◽  
Sliding Mode ◽  
Fuzzy Logic System ◽  
Control Architecture ◽  
Fuzzy Sliding Mode ◽  
Dynamic Target ◽  
Logic System

We are interested in developing a new control architecture to command a mobile robot in a partially known environment. For that purpose, a hybrid control architecture is adopted, combining the reactive and the deliberative method. The reactive method consists of the hierarchical fuzzy controllers based on Type-2 Fuzzy Logic System (T2-FLS), dedicated to commanding the robot towards a mobile target while avoiding unexpected obstacles. A comparative study is made to show the efficiency of T2-FLS against Type-1 Fuzzy Logic System (T1-FLS). Additionally, the used deliberative method is the sliding mode, allowing the robot to track the mobile goal trajectory. Simulation results are given finally to test the proposed architecture.

A New Discrete-time Sliding Mode Control Method Based on Restricted Variable Trending Law

2014 ◽  
Vol 39 (9) ◽  
pp. 1552-1557 ◽  
Author(s):  
Xi LIU ◽  
Xiu-Xia SUN ◽  
Wen-Han DONG ◽  
Peng-Song YANG
Keyword(s):  
Sliding Mode Control ◽  
Discrete Time ◽  
Control Method ◽  
Sliding Mode ◽  
Mode Control
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