The most fundamental characteristic of autonomous vehicles (AVs) is their autonomy. However, due to the dynamic operating environment of the vehicle, their control algorithms may make imprecise, approximate, and unreliable decisions. Therefore, there is a need for the creation of more robust driving algorithms, notably consistent obstacle avoidance algorithms. Occasionally, the vehicle must come to a complete stop in order to avoid obstacles. In this situation, the engine brake control of the car can be engaged. In this study, a fuzzy model was proposed to effectively brake autonomous land vehicles, with an electrical braking system known as rheostatic braking. Since a rheostatic braking system (RBS) is employed, the input values of the fuzzy controller for this designed modeling are vehicle speed and ground slipperiness, and the output value is the rheostat resistance value. In the developed fuzzy controller, Mamdani inference and Aggregation methods were utilized. In addition to these two methods, the fuzzy controller also provides the output of the centroid, bisector, average of the maximum, smallest of the maximum and largest of the maximum sharpening methods to the user. Finally, using the Python programming language and the Tkinter library, the graphical user interface displays the linguistic expression and membership degree of the user\"s inputs, the final fuzzy output graph, and the exact outputs from all clarification methods (GUI).
Fuzzy decision based modeling of rheostatic brake system for autonomous land vehicles
2022-09-01
2022
Article (Journal)
Electronic Resource
English
Bilgisayar Bilimleri , Otomatik Problem Çözümü , Kuram Kanıtlaması ve Mantıksal Nedenleme , Mühendislik ve Teknoloji , Computer Sciences , Automated Problem Solving , Theorem Proving and Logical Reasoning , Engineering and Technology , Mühendislik , Bilişim ve Teknoloji (ENG) , Bilgisayar Bilimi , BİLGİSAYAR BİLİMİ , YAPAY ZEKA , Engineering , Computing & Technology (ENG) , COMPUTER SCIENCE , ARTIFICIAL INTELLIGENCE , Bilgisayarla Görme ve Örüntü Tanıma , Bilgisayar Bilimi Uygulamaları , Bilgisayar Bilimi (çeşitli) , Genel Bilgisayar Bilimi , Fizik Bilimleri , Computer Vision and Pattern Recognition , Computer Science Applications , Computer Science (miscellaneous) , General Computer Science , Physical Sciences
DDC: | 629 |
Improved rheostatic brake for trolleybuses
Engineering Index Backfile | 1952
Improved rheostatic brake for trolleybuses
Engineering Index Backfile | 1953
Improved rheostatic brake for trolleybuses
Engineering Index Backfile | 1953
Engineering Index Backfile | 1914
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