Adaptive Speed Control for Autonomous Mobile Robot Using Fuzzy Logic Controller

2012 ◽  
pp. 67-74
Author(s):  
Hamzah Ahmad ◽  
Wan Nur Diyana Wan Mustafa ◽  
Mohd Rusllim Mohamed
Keyword(s):  
Fuzzy Logic ◽  
Mobile Robot ◽  
Fuzzy Logic Controller ◽  
Speed Control ◽  
Autonomous Mobile Robot

Optimization of Fuzzy Logic Controller Using PSO for Mobile Robot Navigation in an Unknown Environment

2014 ◽  
Vol 541-542 ◽  
pp. 1053-1061 ◽  
Author(s):  
Mohammed Algabri ◽  
Hedjar Ramdane ◽  
Hassan Mathkour ◽  
Khalid Al-Mutib ◽  
Mansour Alsulaiman
Keyword(s):  
Fuzzy Logic ◽  
Mobile Robot ◽  
Membership Function ◽  
Fuzzy Logic Controller ◽  
Robot Navigation ◽  
Field Performance ◽  
Mobile Robot Navigation ◽  
Autonomous Mobile Robot ◽  
Swarm Optimization ◽  
The Membership Function

The control of autonomous mobile robot in an unknown environments include many challenge. Fuzzy logic controller is one of the useful tool in this field. Performance of fuzzy logic controlling depends on the membership function, so the membership function adjusting is a time consuming process. In this paper, we optimized a fuzzy logic controller (Fuzzy) by automatic adjusting the membership function using a particle swarm optimization (PSO). The proposed method (PSO-Fuzzy) is implemented and compared with Fuzzy using Khepera simulator. Moreover, the performance of these approaches compared through experiments using a real Khepera III platform.

Obstacles Avoidance Control for Autonomous Mobile Robot Based on Fuzzy Logic Controller

2018 ◽  
Vol 24 (11) ◽  
pp. 7895-7899
Author(s):  
Zati Hanani Ismail ◽  
Syibrah Naim ◽  
Ahmad Faisal Ayob ◽  
Muhammad Nasiruddin Mahyuddin
Keyword(s):  
Fuzzy Logic ◽  
Mobile Robot ◽  
Fuzzy Logic Controller ◽  
Autonomous Mobile Robot ◽  
Avoidance Control

Speed Control of BLDC by Using Neutrosophic Fuzzy Logic Controller

2021 ◽  
Author(s):  
Gulnur Hacat ◽  
Yucel Cetinceviz ◽  
Erdal Sehirli
Keyword(s):  
Fuzzy Logic ◽  
Fuzzy Logic Controller ◽  
Speed Control

Fuzzy Logic Controller for Obstacle Avoidance of Mobile Robot

2019 ◽  
Vol 20 (1) ◽  
pp. 51-62
Author(s):  
Rajmeet Singh ◽  
Tarun Kumar Bera
Keyword(s):  
Fuzzy Logic ◽  
Mobile Robot ◽  
Dynamic Model ◽  
Obstacle Avoidance ◽  
Fuzzy Logic Controller ◽  
Fuzzy Controller ◽  
Bond Graph ◽  
Membership Functions ◽  
Current Position ◽  
Dc Motors

AbstractThis work describes design and implementation of a navigation and obstacle avoidance controller using fuzzy logic for four-wheel mobile robot. The main contribution of this paper can be summarized in the fact that single fuzzy logic controller can be used for navigation as well as obstacle avoidance (static, dynamic and both) for dynamic model of four-wheel mobile robot. The bond graph is used to develop the dynamic model of mobile robot and then it is converted into SIMULINK block by using ‘S-function’ directly from SYMBOLS Shakti bond graph software library. The four-wheel mobile robot used in this work is equipped with DC motors, three ultrasonic sensors to measure the distance from the obstacles and optical encoders to provide the current position and speed. The three input membership functions (distance from target, angle and distance from obstacles) and two output membership functions (left wheel voltage and right wheel voltage) are considered in fuzzy logic controller. One hundred and sixty-two sets of rules are considered for motion control of the mobile robot. The different case studies are considered and are simulated using MATLAB-SIMULINK software platform to evaluate the performance of the controller. Simulation results show the performances of the navigation and obstacle avoidance fuzzy controller in terms of minimum travelled path for various cases.

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