中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
CPG Parameter Search for a Biomimetic Robotic Fish Based on Particle Swarm Optimization

文献类型:会议论文

作者Wu Zhengxing; Yu Junzhi; Tan Min
出版日期2013
会议名称IEEE International Conference on Robotics and Biomimetics (IEEE ROBIO)
会议日期2012.12
会议地点Guangzhou, China
关键词search problems biomimetics hydrodynamics marine propulsion mobile robots particle swarm optimisation robot dynamics
通讯作者Wu Zhengxing
英文摘要This paper addresses the parameter search issue of a Central Pattern Generator (CPG) governed fishlike swimming. Since the CPG parametersinvolving amplitudes, frequencies, and phase lags are closely related to the propulsive performance, an idea optimizing the CPG characteristic parameters for the maximum propulsive speed is formed and implemented. Specifically, a dynamic model of robotic fish swimming using Kane's method is developed to guide the primary parameter search. A particle swarmoptimization (PSO) algorithm is further employed to optimize the CPGparameters for an enhanced performance. Numerical simulations and roboticexperiments superior to previously published results are finally given, validating the effectiveness of the PSO-based search scheme.
收录类别CPCI-T
会议录2012 IEEE International Conference on Robotics and Biomimetics, ROBIO 2012
源URL[http://ir.ia.ac.cn/handle/173211/4951]  
专题自动化研究所_复杂系统管理与控制国家重点实验室_先进机器人控制团队
推荐引用方式
GB/T 7714
Wu Zhengxing,Yu Junzhi,Tan Min. CPG Parameter Search for a Biomimetic Robotic Fish Based on Particle Swarm Optimization[C]. 见:IEEE International Conference on Robotics and Biomimetics (IEEE ROBIO). Guangzhou, China. 2012.12.

入库方式: OAI收割

来源:自动化研究所

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