Double Closed-Loop General Type-2 Fuzzy Sliding Model Control for Trajectory Tracking of Wheeled Mobile Robots

2019 ◽  
Vol 21 (7) ◽  
pp. 2032-2042 ◽  
Author(s):  
Songyi Dian ◽  
Jixia Han ◽  
Rui Guo ◽  
Shengchuan Li ◽  
Tao Zhao ◽  
...  
Keyword(s):  
Mobile Robots ◽  
Trajectory Tracking ◽  
General Type ◽  
Closed Loop ◽  
Wheeled Mobile Robots ◽  
Model Control ◽  
Fuzzy Sliding Model Control

Trajectory Tracking Control of Nonholonomic Wheeled Mobile Robots with Actuator Dynamic Being Considered

2012 ◽  
Vol 433-440 ◽  
pp. 2596-2601 ◽  
Author(s):  
Guang Xin Han ◽  
Yan Hui Zhao
Keyword(s):  
Mobile Robots ◽  
Trajectory Tracking ◽  
Tracking Control ◽  
Closed Loop ◽  
Kinematic Model ◽  
Lyapunov Theory ◽  
Control Law ◽  
Wheeled Mobile Robots ◽  
Trajectory Tracking Control ◽  
Actuator Dynamics

In this paper trajectory tracking control problem for nonholonomic wheeled mobile robots with the actuator dynamics being considered is studied. On the basis of rotation error transformation and backstepping technique, tracking control law designed for kinematic model is backstepped into dynamic model and furthermore actuator dynamics is involved. Closed-loop stability is guaranteed by Lyapunov theory and Routh-Hurwitz Criterion. Finally simulation results for tracking typical trajectory are presented.

scholarly journals Trajectory Tracking of Wheeled Mobile Robots Using Z-Number Based Fuzzy Logic

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 18426-18441
Author(s):  
Mohamed Abdelwahab ◽  
Victor Parque ◽  
Ahmed M. R. Fath Elbab ◽  
A. A. Abouelsoud ◽  
Shigeki Sugano
Keyword(s):  
Fuzzy Logic ◽  
Mobile Robots ◽  
Trajectory Tracking ◽  
Wheeled Mobile Robots

A self-tuning trajectory tracking controller for wheeled mobile robots

2019 ◽  
Vol 46 (6) ◽  
pp. 828-838 ◽  
Author(s):  
Pouya Panahandeh ◽  
Khalil Alipour ◽  
Bahram Tarvirdizadeh ◽  
Alireza Hadi
Keyword(s):  
Neural Networks ◽  
Convergence Rate ◽  
Mobile Robots ◽  
Trajectory Tracking ◽  
Suggested Method ◽  
Wheeled Mobile Robots ◽  
Trajectory Tracking Control ◽  
Content Type ◽  
Tracking Controller ◽  
Trajectory Tracking Controller

Purpose Trajectory tracking is a common problem in the field of mobile robots which has attracted a lot of attention in the past two decades. Therefore, besides the search for new controllers to achieve a better performance, improvement and optimization of existing control rules are necessary. Trajectory tracking control laws usually contain constant gains which affect greatly the robot’s performance. Design/methodology/approach In this paper, a method based on neural networks is introduced to automatically upgrade the gains of a well-known trajectory tracking controller of wheeled mobile robots. The suggested method speeds up the convergence rate of the main controller. Findings Simulations and experiments are performed to assess the ability of the suggested scheme. The obtained results show the effectiveness of the proposed method. Originality/value In this paper, a method based on neural networks is introduced to automatically upgrade the gains of a well-known trajectory tracking controller of wheeled mobile robots. The suggested method speeds up the convergence rate of the main controller.

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