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作者:

Wu ZhengXing (Wu ZhengXing.) | Yu JunZhi (Yu JunZhi.) | Su ZongShuai (Su ZongShuai.) | Tan Min (Tan Min.) | Li ZhenLong (Li ZhenLong.)

收录:

EI Scopus SCIE CSCD

摘要:

In this paper, we further explore multimodal locomotion via an updated robotic fish model based on Esox lucius. Besides the improved actuation properties like higher torque servomotors and powerful electronics, the robotic fish has some innovative mechanical design to pursue diverse swimming modes and superior performance. Specifically, we introduced a +/- 50 degrees. yawing head joint that functions as the neck for enhancing turning ability. A pair of pectoral mechanisms with two DOFs per fin is constructed to achieve 3-D swimming and to enrich multiple pectoral motions. At the control level, an improved central pattern generator (CPG) model allowing for free adjustment of the phase relationship among outputs is employed to produce rhythmic signals of multimodal swimming. Extensive experiments were carried out to examine how characteristic parameters in CPGs including amplitude, frequency, and phase lag affect the swimming performance. As a result, the robotic fish successfully performed various locomotion actions such as forward swimming, backward swimming, turning, diving, surfacing, as well as three pectoral motions in the form of pitching, heaving, and heaving-pitching. We found that small phase lag between oscillating joints which means large propulsive body wave length and undulation width could lead to a faster swimming in body and/or caudal fin (BCF) locomotion.

关键词:

robotic fish bio-inspired robot motion control CPG multimodal swimming

作者机构:

  • [ 1 ] [Wu ZhengXing]Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China
  • [ 2 ] [Yu JunZhi]Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China
  • [ 3 ] [Su ZongShuai]Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China
  • [ 4 ] [Tan Min]Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China
  • [ 5 ] [Li ZhenLong]Beijing Univ Technol, Coll Elect Informat & Control Engn, Beijing 100124, Peoples R China

通讯作者信息:

  • [Yu JunZhi]Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China

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来源 :

SCIENCE CHINA-INFORMATION SCIENCES

ISSN: 1674-733X

年份: 2015

期: 5

卷: 58

8 . 8 0 0

JCR@2022

ESI学科: COMPUTER SCIENCE;

ESI高被引阀值:168

JCR分区:3

中科院分区:4

被引次数:

WoS核心集被引频次: 40

SCOPUS被引频次: 49

ESI高被引论文在榜: 0 展开所有

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中文被引频次:

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