Speed control of induction motor with broken bars using sliding mode control (SMC) based to on type-2 fuzzy logic controller (T2FLC)

This study investigates the control performance of a structural building system during a seismic scenario using an adaptive nonsingular terminal sliding mode control. To realize the structural integrity of a building, it is necessary to equip the building with a structural control device. This research is focused on a hybrid control device that has excellent characteristics of passive and active control devices and implemented in a three degree-of-freedom system. The system, actuator, and controllers are designed by using the mathematical model developed in MATLAB/Simulink. The input excitation to the structure is taken from the El Centro earthquake that occurred in the 1940s with a magnitude of 6.9 Mw and the Southern Sumatra earthquake that occurred in 2007 with a magnitude of 8.4 Mw. Adaptive nonsingular terminal sliding mode control is the new proposed control strategy to be applied in structural control field is investigated in terms of controller performance in suppressing the vibrations, and then, compared with sliding mode control and fuzzy logic controller strategies. Sliding mode control is chosen to be compared with adaptive nonsingular terminal sliding mode control because of its advantages of robust performance, whereas fuzzy logic controller is chosen because of its intelligent control base. The effectiveness of the proposed controllers is evaluated based on the displacement response, performance indices, and the probability of building damage. The results have shown that the new proposed controller, an adaptive nonsingular terminal sliding mode control, reduced vibrations better and has superior performance compared with fuzzy logic controller and sliding mode control.

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Synthesis by using the sliding-mode control theory for the fuzzy logic controller of the direct torque control system

Naukovyi Visnyk Natsionalnoho Hirnychoho Universytetu ◽

10.29202/nvngu/2018-5/12 ◽

2018 ◽

pp. 98-104

Author(s):

M.A. Melnychuk ◽

A.O. Lozynskyi ◽

O.Yu. Lozynskyi ◽

A.S. Kutsyk

Keyword(s):

Fuzzy Logic ◽

Control System ◽

Control Theory ◽

Sliding Mode Control ◽

Fuzzy Logic Controller ◽

Sliding Mode ◽

Direct Torque Control ◽

Torque Control ◽

Mode Control

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

Applied Sciences ◽

10.3390/app9204380 ◽

2019 ◽

Vol 9 (20) ◽

pp. 4380 ◽

Cited By ~ 2

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.

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