@inproceedings{72a445fa732847399ef1be9ba04f2e3f,
title = "Fuzzy CMAC compound control of hydraulic servo actuation for ship steering system",
abstract = "This paper describes a fuzzy cerebellar model articulation algorithm controller for ship steering system that has the characteristics of rapid changing of load, long working hours and strong randomicity. By using proposed algorithm, not only the robustness of resisting to external disturbance and changing of internal parameters is greatly enhanced, but the dynamic and static characteristic of the steering system is effectively ameliorated as well. The model of fuzzy cerebellar model articulation controller (FCMAC) was established in Matlab/Simulink and the model of ship steering hydraulic system was built in today's system-level modeling and simulation commercial environment of AMESim. The results of co-simulation of AMESim and Matlab have shown that the effectiveness and robustness are improved by using the FCMAC controller for ship's automatic steering performance under a variety of operational and environmental conditions.",
keywords = "FCMAC, Hydraulic device, Intelligence Control, Non-linear",
author = "Jiang'Ao Zhao and Yongling Fu and Jian Fu and Guancheng Liu",
note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 14th IEEE International Conference on Mechatronics and Automation, ICMA 2017 ; Conference date: 06-08-2017 Through 09-08-2017",
year = "2017",
month = aug,
day = "23",
doi = "10.1109/ICMA.2017.8016089",
language = "英语",
series = "2017 IEEE International Conference on Mechatronics and Automation, ICMA 2017",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "1792--1797",
booktitle = "2017 IEEE International Conference on Mechatronics and Automation, ICMA 2017",
address = "美国",
}