Development of Steering Control Algorithms with Self-tuning Fuzzy PID for All-terrain Cranes

被引：0
|
作者：
Seo, Jaho [1 ]
Cha, Moohyun [2 ]
Oh, Kwangseok [3 ]
Park, Young-Jun [4 ]
Kwon, Tae J. [5 ]
机构：
[1] Ontario Tech Univ, Dept Automot & Mechatron Engn, Oshawa, ON L1G 0C5, Canada
[2] Korea Inst Machinery & Mat, Dept Smart Ind Machine Res, Daejeon 34103, South Korea
[3] Hankyong Natl Univ, Dept Mech Engn, Anseong 17579, South Korea
[4] Seoul Natl Univ, Dept Biosyst & Biomat Sci & Engn, Seoul 08826, South Korea
[5] Univ Alberta, Dept Civil & Env Engn, Edmonton, AB T6G 1H9, Canada
来源：
2020 20TH INTERNATIONAL CONFERENCE ON CONTROL, AUTOMATION AND SYSTEMS (ICCAS) | 2020年
关键词：
Steering control algorithm; Co-simulation; All-terrain crane; Self-tuning; Fuzzy PID; Real-time simulator;
D O I：
10.23919/iccas50221.2020.9268346
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
The study deals with the design of control algorithms to enhance the steering performance of all-terrain cranes. For this, its hydraulic steering system was modeled using a multiphysics simulation tool and the self-tuning fuzzy PID controller was developed to control hydraulic steering actuators with nonlinearities. The designed control algorithm was validated through co-simulation using a real-time simulator and showed satisfactory performance.
引用
收藏
页码：727 / 730
页数：4
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