Robust Control for Uncertain Two-Degree of Freedom Polar Robot by Using Fuzzy Sliding Mode Control Scheme

2018 ◽  
Author(s):  
Chunzhi Yang ◽  
Wei Xiang ◽  
Quanbao Ji
Keyword(s):  
Robust Control ◽  
Sliding Mode Control ◽  
Sliding Mode ◽  
Degree Of Freedom ◽  
Fuzzy Sliding Mode Control ◽  
Mode Control ◽  
Control Scheme ◽  
Fuzzy Sliding Mode ◽  
Two Degree Of Freedom

scholarly journals Electronic Differential and Neuro-Fuzzy Sliding Mode Control with Extended State Observer for an Electric Vehicle System

2018 ◽  
Vol 61 ◽  
pp. 00007
Author(s):  
Ibrahim Farouk Bouguenna ◽  
Ahmed Azaiz ◽  
Ahmed Tahour ◽  
Ahmed Larbaoui
Keyword(s):  
Sliding Mode Control ◽  
Hybrid Control ◽  
Sliding Mode ◽  
Current Loop ◽  
Fuzzy Sliding Mode Control ◽  
Mode Control ◽  
Neuro Fuzzy ◽  
Control Scheme ◽  
Fuzzy Sliding Mode ◽  
Hybrid Control Scheme

In this paper a neuro-fuzzy-sliding mode control (NFSMC) with extended state observer (ESO) technique; is designed to guarantee the traction of an electric vehicle with two distinct permanent magnet synchronous motor (PMSM). Each PMSM systems (source-convertermotor) are attached to an electronic differential (ED), in order to adjust the senses of direction of the vehicle, and sustain a stable speed by adapting the difference in velocity of each motor-wheel according to the direction in the case of a turn. Two types of controllers are employed by a hybrid control scheme to assure the control and the performance of the vehicle. This hybrid control scheme guarantees the stability of the vehicle by ED, reduces the chattering phenomena in the PMSM electric motor, and improves the disturbance rejection ability which employs tow types of controllers. The neuro-fuzzy sliding mode control on the direct current loop and ESO controller on the speed loop, and the quadratic current loop; taking into account the dynamic of the vehicle. Simulation runs under Matlab/Simulink to assess the efficiency, and strength of the recommended control method on the closed loop system.

Attitude Control of Flapping Wing Micro Aerial Vehicle Based on Double Fuzzy Sliding Mode Control

2012 ◽  
Vol 468-471 ◽  
pp. 704-707
Author(s):  
Sheng Bin Hu ◽  
Wen Hua Lu ◽  
Zhi Yi Chen ◽  
Lei Lei ◽  
Yi Xuan Zhang
Keyword(s):  
Sliding Mode Control ◽  
Attitude Control ◽  
Fuzzy Controller ◽  
Sliding Mode ◽  
Micro Aerial Vehicle ◽  
Fuzzy Sliding Mode Control ◽  
Mode Control ◽  
Control Scheme ◽  
Aerial Vehicle ◽  
Fuzzy Sliding Mode

An adaptive Double Fuzzy Sliding Mode Control scheme for attitude control of Flapping Wing Micro Aerial Vehicle is proposed in this paper. Based on the feedback linearization technique, a sliding mode controller is designed. To faster response speed, a fuzzy controller is designed to adaptively tune the slope of sliding mode surface. To reduce the chattering, another fuzzy controller is designed to adaptively tune the switch part of sliding mode control. The system stability is proved by Lyapunov principle. Simulation results show that the proposed control scheme is effective.

scholarly journals Robust Control Of Dc Motor Using Fuzzy Sliding Mode Control With Fractional Pid Compensator

2010 ◽  
Vol 01 (04) ◽  
pp. 238-246 ◽  
Author(s):  
Yaghoub Heidari ◽  
Abolfazl Ranjbar Noee ◽  
Heydar Ali Shayanfar ◽  
Soheil Salehi
Keyword(s):  
Robust Control ◽  
Sliding Mode Control ◽  
Sliding Mode ◽  
Dc Motor ◽  
Fuzzy Sliding Mode Control ◽  
Mode Control ◽  
Fuzzy Sliding Mode

scholarly journals Robust Control Of Inverted Pendulum Using Fuzzy Sliding Mode Control Fsmc

2011 ◽  
Vol 02 (04) ◽  
pp. 659-666
Author(s):  
Mohamadreza Dastranj ◽  
Mahbubeh Moghaddas ◽  
Kazem Esmaeili Khoshmardan ◽  
Assef Zare
Keyword(s):  
Robust Control ◽  
Sliding Mode Control ◽  
Inverted Pendulum ◽  
Sliding Mode ◽  
Fuzzy Sliding Mode Control ◽  
Mode Control ◽  
Fuzzy Sliding Mode

scholarly journals Fuzzy Sliding Mode Control Method for AUV Buoyancy Regulation System

Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Wende Zhao ◽  
Decheng Wang ◽  
Zhenzhong Chu ◽  
Mingjun Zhang
Keyword(s):  
Sliding Mode Control ◽  
Autonomous Underwater Vehicle ◽  
Control Method ◽  
Sliding Mode ◽  
Regulation System ◽  
Fuzzy Sliding Mode Control ◽  
Mode Control ◽  
Control Scheme ◽  
Fuzzy Sliding Mode ◽  
Control Accuracy

This paper investigates the control problem of the buoyancy regulation system for autonomous underwater vehicle (AUV). There are some problems to be considered in the oil-water conversion-based buoyancy regulation system, including the external seawater pressure, the pressure fluctuations, and the slow switching speed of the ball valve. The control accuracy of the buoyancy regulation under the traditional PID controller cannot meet the requirements of the project. In this paper, a fuzzy sliding mode control scheme is developed for the buoyancy regulation system to solve the abovementioned problems. At first, a mathematical model of the buoyancy regulation system is established, and the stability of the system is analyzed. Then, the sliding mode control algorithm is combined with the fuzzy system to improve the control accuracy. Finally, the pool-experiment results on a prototype show that the developed control scheme can meet the requirements of the control accuracy for the buoyancy regulation system.

Sign in / Sign up

Export Citation Format

Share Document