Penerapan Fuzzy Logic Pada Mobile Robot Sederhana

2019 ◽  
Vol 3 (1) ◽  
pp. 70-79
Author(s):  
Muhammad Fakhriza ◽  
Muhammad Hadi Senoadji ◽  
Adelia Ananda ◽  
Khairani Maudi Pangestu
Keyword(s):  
Fuzzy Logic ◽  
Mobile Robot ◽  
Safe Distance ◽  
Normal Movement ◽  
Round Shape ◽  
Left And Right

The application of fuzzy logic can be implemented in making simple robots, where the method used is the sugeno method, robo can move automatically, the robot is designed in a round shape has a tire that can move forward and backward, left and right, the robo can maintain a safe distance with the object in front of it. The results of this test indicate that the robot can work well with normal movement Keywords : fuzzy logic

Design and FPGA Implementation of a New Intelligent Behaviors Fusion for Mobile Robot Using Fuzzy Logic

2019 ◽  
Vol 12 (1) ◽  
pp. 1 ◽  
Author(s):  
Badr El Kari ◽  
Hassan Ayad ◽  
Abdeljalil El Kari ◽  
Mostafa Mjahed ◽  
Claudiu Pozna
Keyword(s):  
Fuzzy Logic ◽  
Mobile Robot ◽  
Fpga Implementation

Impact of plumb location on the determination accuracy of chimney heeling by photographic method

2017 ◽  
Vol 919 (1) ◽  
pp. 55-59
Author(s):  
O.V. Raskatkina
Keyword(s):  
Image Processing ◽  
Experimental Research ◽  
Optimal Location ◽  
Paint System ◽  
Photographic Method ◽  
Round Shape ◽  
Straight Line ◽  
Left And Right

There is a method of using the corded plumb as vertical reference straight line, located in front of the objective of a digital photocamera in the article. When we take picture of the object under study, there will be this straight line in the photo, from which we can carry out all necessary measurements in the Paint system with the following conversion them into metric system. All possible variants of location of the reference straight line relative to it axis are considered by the example of the construction of the tower round shape and it is shown a method of heeling calculation by image processing results. Experimental research to determine the degree of influence of plumb location in the photo relative to it axe on the accuracy of the heeling determination was carried out by shooting the brick chimney with the 30 metres height when the plumb is located on the chimney axis and on different distance from the left and right of the axis. It is set in the result that the plumb location has influence on the accuracy of heeling determination. The optimal location is on the centre of the top section of the chimney and there is shown the method of accounting corrections due to inaccurate location.

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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