Open AccessExperimental Fuzzy Control for Tower Crane
Author(s) -
Van Hong Nguyen,
Vi Do Tran,
Minh Tam Nguyen,
VanPhong Vu,
Van-Thuyen Ngo,
Thien Van Nguyen
Publication year - 2022
Publication title -
technical education science/giáo dục kỹ thuật
Language(s) - English
Resource type - Journals
eISSN - 2615-9740
pISSN - 1859-1272
DOI - 10.54644/jte.68.2022.1121
Subject(s) - fuzzy control system , controller (irrigation) , control engineering , tower , fuzzy logic , control (management) , mimo , control theory (sociology) , inverted pendulum , engineering , control system , intelligent control , computer science , artificial intelligence , nonlinear system , physics , electrical engineering , quantum mechanics , channel (broadcasting) , civil engineering , agronomy , biology
Tower crane is a popular model in industry. It helps to move constructing material from lower place to higher place and vice versa. Due to its importance in real application, educational experimental models are necessary to be built in laboratory for researching and training students. In this paper, an experimental platform of tower crane system is presented for testing algorithms. For a real model with un-known system parameters and MIMO under-actuated structure, intelligent control is a suitable selection. Fuzzy control is a primary algorithm in training intelligent control for students. Thence, an 81-rule fuzzy controller is designed and used to control position and anti-sway for this model. This idea is inspired from fuzzy control for SIMO system, such as inverted pendulum. Our controller gives good results under kinds of external effects. The quality of controlling is proved to be better under fuzzy controller than under no-control. Therefore, survey in this paper can be used to train students in fuzzy control structure for MIMO under-actuated system.