Interval Type-2 Fuzzy Sliding Mode Controller Based on Nonlinear Observer for a 3-DOF Helicopter with Uncertainties

2016 ◽  
Vol 19 (5) ◽  
pp. 1444-1463 ◽  
Author(s):  
Samir Zeghlache ◽  
Tarak Benslimane ◽  
Nourredine Amardjia ◽  
Abderrahmen Bouguerra
Keyword(s):  
Sliding Mode ◽  
Nonlinear Observer ◽  
Sliding Mode Controller ◽  
Fuzzy Sliding Mode ◽  
Interval Type

scholarly journals A Robust Vibration Control of a Magnetorheological Damper Based Railway Suspension Using a Novel Adaptive Type 2 Fuzzy Sliding Mode Controller

2017 ◽  
Vol 2017 ◽  
pp. 1-14 ◽  
Author(s):  
Sy Dung Nguyen ◽  
Dongsoo Jung ◽  
Seung-Bok Choi
Keyword(s):  
Vibration Control ◽  
Sliding Mode ◽  
Lyapunov Stability Theory ◽  
Magnetorheological Damper ◽  
Nonlinear Observer ◽  
Input Current ◽  
Sliding Mode Controller ◽  
Damping Force ◽  
Interval Type

This work proposes a novel adaptive type 2 fuzzy sliding controller (AT2FC) for vibration control of magnetorheological damper- (MRD-) based railway suspensions subjected to uncertainty and disturbance (UAD). The AT2FC is constituted of four main parts. The first one is a sliding mode controller (SMC) for specifying the main damping force supporting the suspension. This controller is designed via Lyapunov stability theory. The second one is an interpolation model based on an interval type 2 fuzzy logic system for determination of optimal parameters of the SMC. The third one is a nonlinear UAD observer to compensate for external disturbances. The fourth one is an inverse MRD model (T2F-I-MRD) for specifying the input current. In the operating process, an adaptively optimal structure deriving from the SMC is created (called the Ad-op-SMC) to adapt to the real status. Working as an actuator, the input current for MRD is then determined by the T2F-I-MRD to generate the required damping force which is estimated by the Ad-op-SMC and the nonlinear observer. It is shown that the obtained survey results reflect the AT2FC’s excellent vibration control performance compared with the other controllers.

Design of a novel adaptive fuzzy sliding mode controller and application for vibration control of magnetorheological mount

2014 ◽  
Vol 228 (13) ◽  
pp. 2285-2302 ◽  
Author(s):  
Do Xuan Phu ◽  
Nguyen Vien Quoc ◽  
Joon-Hee Park ◽  
Seung-Bok Choi
Keyword(s):  
Sliding Mode Control ◽  
Vibration Control ◽  
Sliding Mode ◽  
Shear Mode ◽  
Sliding Mode Controller ◽  
Experimental Realization ◽  
Mode Control ◽  
Fuzzy Sliding Mode ◽  
Interval Type

This paper presents vibration control of a mixed-mode magnetorheological fluid-based mount system using a new robust fuzzy sliding mode controller. A novel model of controller is built based on adaptive hybrid control of interval type 2 fuzzy controller incorporating with a new modified sliding mode control. The interval type 2 fuzzy is optimized for computational cost by using enhanced iterative algorithm with stop condition, and a new modified switching surface of sliding mode control is designed for preventing the chattering of the system. The controller is then experimentally implemented under uncertain conditions in order to evaluate robust vibration control performance. In addition, in order to demonstrate the effectiveness of the proposed controller, two fuzzy sliding mode control algorithms proposed by Huang and Chan are adopted and modified. The principal control parameters of three controllers are updated online by adaptation laws to meet requirements of magnetorheological mount system which has two operation modes: flow mode and shear mode. It is shown from experimental realization of three controllers that the proposed control strategy performs the best under uncertain conditions compared with two other modified controllers. This merit is verified by presenting vibration control performances in both time and frequency domains.

Design of interval type-2 fuzzy sliding-mode controller

2008 ◽  
Vol 178 (6) ◽  
pp. 1696-1716 ◽  
Author(s):  
Ming-Ying Hsiao ◽  
Tzuu-Hseng S. Li ◽  
J.-Z. Lee ◽  
C.-H. Chao ◽  
S.-H. Tsai
Keyword(s):  
Sliding Mode ◽  
Sliding Mode Controller ◽  
Fuzzy Sliding Mode ◽  
Interval Type
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