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Heading Control for a Robotic Dolphin Based on a Self-tuning Fuzzy Strategy
Cao, Zhiqiang1; Shen, Fei2; Zhou, Chao1; Gu, Nong3; Nahavandi, Saeid3; Xu, De2
Source PublicationINTERNATIONAL JOURNAL OF ADVANCED ROBOTIC SYSTEMS
2016-02-16
Volume2016Issue:13Pages:1-8
SubtypeArticle
AbstractIn this paper, a heading controller based on a self-tuning fuzzy strategy for a robotic dolphin is proposed to improve control accuracy and stability. The structure of the robotic dolphin is introduced and the turning motion is analysed. The analytic model indicates that the turning joint angle can be employed for the heading control. This non-linear model prevents the successful application of traditional model-based controllers. A fuzzy controller is proposed to realize the heading control in our work. It should be mentioned that the traditional fuzzy controller suffers from a distinguished steady-state error, due to the fact that the heading range is relatively large and the fuzzy controller's universe of discourse is fixed. To resolve this problem, a self-tuning mechanism is employed to adjust the input and output scaling factors according to the active working region in pursuit of favourable performance. Experimental results demonstrate the performance of the proposed controller in terms of steady-state error and robustness to interferences.
KeywordRobotic Dolphin Heading Control Turning Motion Self-tuning Fuzzy Control
WOS HeadingsScience & Technology ; Technology
DOI10.5772/62289
WOS KeywordFISH ROBOT ; DESIGN ; IMPLEMENTATION ; TRACKING ; FINS
Indexed BySCI
Language英语
Funding OrganizationNational Natural Science Foundation of China(61421004 ; Beijing Natural Science Foundation(4152054) ; 61473295)
WOS Research AreaRobotics
WOS SubjectRobotics
WOS IDWOS:000370656500001
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Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/10993
Collection复杂系统管理与控制国家重点实验室_先进机器人
Affiliation1.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing, Peoples R China
2.Chinese Acad Sci, Inst Automat, Res Ctr Precis Sensing & Control, Beijing, Peoples R China
3.Deakin Univ, Ctr Intelligent Syst Res, Geelong, Vic 3217, Australia
First Author AffilicationInstitute of Automation, Chinese Academy of Sciences
Recommended Citation
GB/T 7714
Cao, Zhiqiang,Shen, Fei,Zhou, Chao,et al. Heading Control for a Robotic Dolphin Based on a Self-tuning Fuzzy Strategy[J]. INTERNATIONAL JOURNAL OF ADVANCED ROBOTIC SYSTEMS,2016,2016(13):1-8.
APA Cao, Zhiqiang,Shen, Fei,Zhou, Chao,Gu, Nong,Nahavandi, Saeid,&Xu, De.(2016).Heading Control for a Robotic Dolphin Based on a Self-tuning Fuzzy Strategy.INTERNATIONAL JOURNAL OF ADVANCED ROBOTIC SYSTEMS,2016(13),1-8.
MLA Cao, Zhiqiang,et al."Heading Control for a Robotic Dolphin Based on a Self-tuning Fuzzy Strategy".INTERNATIONAL JOURNAL OF ADVANCED ROBOTIC SYSTEMS 2016.13(2016):1-8.
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