Knowledge Commons of Institute of Automation,CAS
GA-based composite sliding mode fuzzy control for double-pendulum-type overhead crane | |
Liu, DT; Guo, WP; Yi, JQ; Wang, L; Jin, Y | |
发表期刊 | FUZZY SYSTEMS AND KNOWLEDGE DISCOVERY, PT 1, PROCEEDINGS |
2005 | |
卷号 | 3613页码:792-801 |
文章类型 | Article |
摘要 | A genetic algorithm (GA) based composite sliding mode fuzzy control (CSMFC) approach is proposed for the double-pendulum-type overhead crane (DPTOC). The overhead crane exhibits double-pendulum dynamics because of the large-mass hook and the payload volume. Its nonlinear dynamic model is built using Lagrangian method. Through. defining a composite sliding mode function, the proposed control approach greatly reduces the complexity to design a controller for complex underactuated systems. The control system stability is analyzed for DPTOC. Real-valued GA is used to optimize the parameters of CSMFC to improve the performance of control system. Simulation results illustrate the complexity of DPTOC and the validity of proposed control algorithm. |
WOS标题词 | Science & Technology ; Technology |
收录类别 | ISTP ; SCI |
语种 | 英语 |
WOS研究方向 | Computer Science |
WOS类目 | Computer Science, Artificial Intelligence ; Computer Science, Information Systems |
WOS记录号 | WOS:000232217900098 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/9058 |
专题 | 09年以前成果 |
作者单位 | 1.Yantai Univ, Inst Comp Sci & Technol, Yantai 264005, Shandong, Peoples R China 2.Chinese Acad Sci, Inst Automat, Beijing 100080, Peoples R China |
推荐引用方式 GB/T 7714 | Liu, DT,Guo, WP,Yi, JQ,et al. GA-based composite sliding mode fuzzy control for double-pendulum-type overhead crane[J]. FUZZY SYSTEMS AND KNOWLEDGE DISCOVERY, PT 1, PROCEEDINGS,2005,3613:792-801. |
APA | Liu, DT,Guo, WP,Yi, JQ,Wang, L,&Jin, Y.(2005).GA-based composite sliding mode fuzzy control for double-pendulum-type overhead crane.FUZZY SYSTEMS AND KNOWLEDGE DISCOVERY, PT 1, PROCEEDINGS,3613,792-801. |
MLA | Liu, DT,et al."GA-based composite sliding mode fuzzy control for double-pendulum-type overhead crane".FUZZY SYSTEMS AND KNOWLEDGE DISCOVERY, PT 1, PROCEEDINGS 3613(2005):792-801. |
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