z-logo
open-access-imgOpen Access
Angular Position Control of 3-Cars Crane System Using Proposed Fuzzy-PID Controller
Author(s) -
Şahin Yıldırım
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.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here