Angular Position Control of 3-Cars Crane System Using Proposed Fuzzy-PID Controller
Author(s) -
Şahin Yıldırım,
Aysegul Gordebil
Publication year - 2020
Publication title -
recent innovations in mechatronics
Language(s) - English
Resource type - Journals
ISSN - 2064-9622
DOI - 10.17667/riim.2020.1/4.
Subject(s) - control theory (sociology) , control engineering , pid controller , controller (irrigation) , fuzzy control system , position (finance) , carry (investment) , computer science , fuzzy logic , control system , vibration , engineering , control (management) , bar (unit) , artificial intelligence , temperature control , agronomy , finance , biology , physics , electrical engineering , quantum mechanics , meteorology , economics
This paper presents a novel control approach for 3 cars crane systems. Nowadays; some problems for carrying unpredicted loads of crane systems exist. On the other hand; long bar loads are very important to carry without touch on other materials in factories. In this simulation study, fuzzy based controllers were designed to control vibrations of 3 cars crane system. The simulation results are improved and show this kind of controllers will be employed in real time such systems.
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