scholarly journals Longitudinal Motion Control of AUV Based on Fuzzy Sliding Mode Method

2016 ◽  
Vol 2016 ◽  
pp. 1-7 ◽  
Author(s):  
Duo Qi ◽  
Jinfu Feng ◽  
Jian Yang
Keyword(s):  
Sliding Mode ◽  
Wave Force ◽  
Longitudinal Motion ◽  
Sliding Mode Controller ◽  
Motion Equations ◽  
First Order ◽  
Mode Method ◽  
Fuzzy Sliding Mode ◽  
Simulation Results ◽  
Six Degree Of Freedom

According to the characteristics of AUV movement, a fuzzy sliding mode controller was designed, in which fuzzy rules were adopted to estimate the switching gain to eliminate disturbance terms and reduce chattering. The six-degree-of-freedom model of AUV was simplified and longitudinal motion equations were established on the basis of previous research. The influences of first-order wave force and torque were taken into consideration. The REMUS was selected to simulate the control effects of conventional sliding mode controller and fuzzy sliding mode controller. Simulation results show that the fuzzy sliding mode controller can meet the requirements and has higher precision and stronger antijamming performances compared with conventional sliding mode controller.

scholarly journals Proposed Fuzzy Logic Controller for Buck DC-DC Converter

2021 ◽  
Vol 7 ◽  
pp. 24-28
Author(s):  
M. Bensaada ◽  
S.Della Krachai ◽  
F. Metehri
Keyword(s):  
Fuzzy Logic ◽  
Response Time ◽  
Fuzzy Logic Controller ◽  
Sliding Mode ◽  
Sliding Mode Controller ◽  
Mode Method ◽  
Simulation Results

This paper provides the design for buck DC-DC converter system using fuzzy logic as well as sliding mode method. Design of fuzzy logic controller will be based on improvement of imperfection of the sliding mode controller, in particular the robustness and response time of the system. The simulation results of both systems using fuzzy logic and sliding mode are shown as well as compared to signify better of the two.

Development of Computational Technique for Better Utilization of Renewable Energy

2013 ◽  
Vol 768 ◽  
pp. 98-102
Author(s):  
R. Princelyn Jeba Kiruba ◽  
R. Arulmozhiyal
Keyword(s):  
Sliding Mode ◽  
Computational Technique ◽  
Sliding Mode Controller ◽  
Phase Voltage ◽  
High Quality ◽  
Second Stage ◽  
Three Phase ◽  
Fuzzy Sliding Mode ◽  
Source Voltage ◽  
Simulation Results

The project illustrates an idea of connecting the photovoltaic systems with the Grid, GCPS. In this work, the photovoltaic source of generation, the PVG is connected to the main electric grid via two static electronic stages. The first stage contains a buck-boost dc-dc converter, insuring impedance adaptation between PVG and grid. This converter is controlled by the Fuzzy Sliding Mode controller, FSMC. The controller is used to track the dc reference voltage which is used to satisfy the main grid. The second stage is composed of a dc bus and a three-phase voltage inverter, which serves as an interface to the PVG and the grid utility. The inverter output is regulated by means of suitable filters to inject the high quality Photovoltaic, PV power into the grid. The GCPS has been implemented in the MATLAB. The performances of the fuzzy sliding controller are compared to the results obtained by a sliding mode controller. The satisfactory simulation results, reduces the phenomenon of chattering. The resulting waveforms indicate the robustness of control against variation of the load and the source voltage of the converter.

CONTROLLING THE UNCERTAIN MULTI-SCROLL CRITICAL CHAOTIC SYSTEM WITH INPUT NONLINEAR USING SLIDING MODE CONTROL

2009 ◽  
Vol 23 (16) ◽  
pp. 2021-2034 ◽  
Author(s):  
XINGYUAN WANG ◽  
DA LIN ◽  
ZHANJIE WANG
Keyword(s):  
Chaotic System ◽  
Sliding Mode ◽  
Equilibrium Points ◽  
Dead Zone ◽  
Variable Structure ◽  
Sliding Mode Controller ◽  
Global Stabilization ◽  
Structure Control ◽  
Control Scheme ◽  
Simulation Results

In this paper, control of the uncertain multi-scroll critical chaotic system is studied. According to variable structure control theory, we design the sliding mode controller of the uncertain multi-scroll critical chaotic system, which contains sector nonlinearity and dead zone inputs. For an arbitrarily given equilibrium point of the uncertain multi-scroll chaotic system, we achieve global stabilization for the equilibrium points. Particularly, a class of proportional integral (PI) switching surface is introduced for determining the convergence rate. Furthermore, the proposed control scheme can be extended to complex multi-scroll networks. Finally, simulation results are presented to demonstrate the effectiveness of the proposed control scheme.

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