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生物模倣ソフト魚ロボットの研究開発

机译:仿生软件鱼机器人的研发

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摘要

In nature, the environment varies from day to day. Through natural selection and competition law of survival of the fittest, the winning creatures survive and their species are able to retain and persist in nature. Based on this fact, creatures existent in nature have their unique features and advantages adapt to the surrounding environment. In recent years, many researches focused on the features of the creatures in nature have been done actively to clarify their morphology and functions and apply the morphology and functions to various fields. Among these researches, the development of the biomimetic robots based on mimicking the creature’s structures and functions has become an active field in robotics recently. In the research, the development of biomimetic robotic fish is focused. So far, there are many researches on biomimetic robotic fish, but improvement on motion performances and efficiency is still an important issue for robot development. Specially, on the biomimetic soft robotic fish utilizing the flexibility of fishes, the developments have been done by the trial and error approach. That is, the design and control method of soft robotic fish has not been established currently. Therefore, it motives us to investigate the design and control of soft robotic fish by numerical simulation that takes into account the interaction between flexible structure and surrounding fluid to develop the biomimetic soft robotic fish with high performance. In order to develop the biomimetic soft robotic fish with high performance, the basic design method and corresponding numerical simulation system are firstly proposed and constructed in this dissertation. Then, based on finite element method (FEM), modelling of soft robotic fish by mimicking the soft structure and driving mechanism of fishes is carried out. The propulsion motion and propulsive force of the soft robotic fish are investigated through two kinds of numerical analyses. One is the modal and transient analysis considering the surrounding fluid as acoustic fluid. The propulsion mode and amplitude of the propulsion motion of soft robotic fish corresponding directly to the propulsion mechanism and motion performance of the robotic fish can be investigated. The other is the fluid-structure interaction (FSI) analysis. The interaction between soft robot structure and surrounding fluid including the dissipation due to fluid viscosity and influence of wake performance around the soft robotic fish are taken into account. From FSI analysis, the hydrodynamic performances of the soft robotic fish can be obtained for investigating its propulsion motion. It is possible to further improve the performance of the soft robotic fish through its design and control based on FSI analysis. Besides, based on coupling analysis by using acoustic fluid, the turning motion control of the soft robotic fish is investigated by its propulsion modes in the fluid. In order to investigate the feasibility of modelling method and numerical simulation analysis on design and control of the biomimetic soft robotic fish, the performance evaluation is carried out by comparison between the simulation and experiment on an actual prototype. Finally, the optimization and improvement are performed for developing the biomimetic soft robotic fish with higher performance based on verified coupling analysis considering the fluid as acoustic fluid, and corresponding performance evaluation on new robot prototype is presented. The performance improvement of the soft robotic fish is confirmed through the new robot prototype. The dissertation consists of six chapters and the main contents are shown as follows. Chapter 1 is an introduction. The background and relative previous work about biomimetic soft robotic fish are briefly reviewed. It summarizes the current research status and problems of biomimetic soft robotic fish, and describes the purposes of this research. Chapter 2 presents the design method, procedures and numerical simulation system in the present research for developing the biomimetic soft robotic fish with high performance. Different from previous development method, our purpose is how to design and control the soft robotic fish by utilizing interaction between the flexible structure and surrounding fluid effectively based on numerical simulations. Therefore, it is necessary to model a fish-like soft robot structure including soft actuators and an enclosed fluid. Besides, by the numerical analysis considering the interaction between flexible structure and fluid, the fish-like propulsion motion should be realized and established, and then the robot structure and control inputs are needed to be optimized for performance improvement. In order to meet these requirements of designing and developing the optimal soft robotic fish, the design method based on modelling, simulation analysis and improvement is presented and the numerical simulation system for soft robotic fish is built. In the simulation system, modelling of soft robotic fish, modal and transient analysis considering the enclosed fluid as acoustic fluid are firstly described based on FEM to realize the fish-like propulsion motion with large amplitude for the soft robotic fish. Then, the FSI analysis is performed to describe and establish the hydrodynamic performances of the soft robotic fish. Based on this numerical simulation system, it is possible to develop the biomimetic soft robotic fish with high performance effectively by optimization of design and control of the soft robotic fish. Chapter 3 describes the modelling and numerical analysis of biomimetic soft robotic fish by using the method presented in Chapter 2. The soft robotic fish uses the piezoelectric fiber composite (PFC) as soft actuator. Firstly, the relationships between the input voltage and generated stress of the PFC are derived. The generated stress can be applied on soft structure to investigate the motion performance of the soft robotic fish. To support the driving model of the PFC, the corresponding experiments on simple beam model are carried out. By comparing the simulation results with experimental results, the effectiveness of the driving model is verified. Then, the modal analysis in which the fluid is considered as acoustic fluid is performed. The structural mode frequencies and mode shapes of the soft robotic fish in the fluid are calculated. By comparing these modes’ motion with those of the real fishes, the fish-like propulsion mode is identified to realize the corresponding propulsion motion of the soft robotic fish. Furthermore, based on the verified driving model of soft actuator, the amplitude of the main propulsion motion of soft robotic fish is calculated. Through FSI analysis, the relationships of driving frequencies of input signal with propulsive force and displacement of propulsion motion, and vortex distribution in the wake around the soft robotic fish are investigated for the case of fixing robot head. Besides, the motion control of soft robot is investigated to realize turning motion in the fluid. Through controlling the input voltage amplitude on soft actuators of the robot, turning right and turning left motion are identified in the swimming when the input voltage amplitudes on two actuators are in asymmetric distribution. Chapter 4 is experiment evaluation. In order to validate the results of numerical simulation analysis described in Chapter 3, the mode shapes, amplitude of propulsion motion, propulsive force and vortex distribution around soft robotic fish for the case of fixing robot head, and turning motion are measured by using actual robot prototype. The present simulation results are congruent with experiments. By the results, the effectiveness of the modelling method and numerical analysis used in the research is verified and they are useful to predict the propulsion characteristics of the soft robotic fish in the fluid for performance improvement. Chapter 5 develops a new soft robotic fish with high performance based on above modelling method and numerical analysis by optimization. Firstly, the structural parameters of the robot are allowed to vary within a range and the amplitude of the propulsion motion for the soft robot is calculated for different parameters by the numerical analysis. Then the structural parameters of the robot capable of propulsion motion with largeramplitude are chosen for improvement. Based on this result, new soft robot is designed and evaluated by experiments. From the experimental results of the new soft robot, it is confirmed that the higher swimming speed, better fish-like swimming performance and larger turning velocity are realized. It can be said that the new soft robotic fish has been developed successfully for improvement. Chapter 6 summarizes the conclusions and future works of this research.
机译:在自然界中,环境每天都在变化。通过优胜劣汰的自然选择和竞争法则,获胜的生物得以生存,其物种得以保留并持久存在于自然中。基于这一事实,自然界中存在的生物具有其独特的特征和优势,可以适应周围的环境。近年来,已经进行了许多针对自然界中生物特征的研究,以阐明其形态和功能,并将形态和功能应用于各个领域。在这些研究中,基于模仿生物的结构和功能的仿生机器人的开发已成为机器人领域的活跃领域。在研究中,仿生机器人鱼的开发是重点。到目前为止,关于仿生机器人鱼的研究很多,但是提高运动性能和效率仍然是机器人开发的重要问题。特别地,在利用鱼类柔性的仿生软机器人鱼类上,通过反复试验的方法已经取得了进展。即,目前还没有建立软机器人鱼的设计和控制方法。因此,有必要通过数值模拟研究软机器人鱼的设计和控制,并考虑柔性结构和周围流体之间的相互作用,从而开发出高性能的仿生软机器人鱼。为了开发高性能的仿生软机器人鱼,本文首先提出并构建了基本的设计方法和相应的数值模拟系统。然后,基于有限元方法(FEM),通过模仿鱼的软结构和驱动机制,对软机器人鱼进行建模。通过两种数值分析研究了软机器人鱼的推进运动和推进力。一种是将周围流体视为声流体的模态和瞬态分析。可以研究与机器人的推进机制和运动性能直接对应的软机器人鱼的推进模式和推进运动的幅度。另一个是流固耦合(FSI)分析。考虑了软机器人结构与周围流体之间的相互作用,包括由于流体粘度而引起的耗散以及围绕软机器人鱼的尾流性能的影响。通过FSI分析,可以获得软机器人鱼的水动力性能,以研究其推进运动。通过基于FSI分析的设计和控制,有可能进一步提高软机器人鱼的性能。此外,基于声流体的耦合分析,通过其在流体中的推进方式研究了软机器人鱼的转动运动控制。为了研究仿生软机器人鱼设计与控制的建模方法和数值仿真分析的可行性,通过仿真与实际样机的比较,对性能进行了评价。最后,在以流体为声流体的经过验证的耦合分析的基础上,对性能更高的仿生软机器人鱼进行了优化和改进,并提出了对新机器人原型的相应性能评估。新的机器人原型确认了软机器人鱼的性能改进。本文共分六章,主要内容如下。第1章是绪论。简要回顾了仿生软机器人鱼的背景和相关的先前工作。概述了仿生软机器人鱼的研究现状和存在的问题,并阐述了本研究的目的。第2章介绍了本研究中用于开发高性能仿生软机器人鱼的设计方法,过程和数值模拟系统。与以前的开发方法不同,我们的目的是在数值模拟的基础上,如何有效利用柔性结构和周围流体之间的相互作用来设计和控制软机器人鱼。因此,有必要对包括软致动器和封闭流体的鱼状软机器人结构进行建模。此外,通过考虑柔性结构和流体之间相互作用的数值分析,应该实现并建立鱼状推进运动,然后需要优化机器人结构和控制输入以提高性能。为了满足设计和开发最优软机器人鱼的这些要求,基于建模的设计方法进行了仿真分析和改进,建立了软机器人鱼的数值仿真系统。在仿真系统中,首先基于有限元法描述了软机鱼的建模,以封闭流体为声流体的模态和瞬态分析,以实现软机鱼大幅度的鱼状推进运动。然后,进行FSI分析以描述和建立软机器人鱼的水动力性能。基于该数值模拟系统,可以通过优化软机器人鱼的设计和控制来高效开发仿生软机器人鱼。第3章使用第2章介绍的方法描述了仿生软机器人鱼的建模和数值分析。软机器人鱼使用压电纤维复合材料(PFC)作为软致动器。首先,推导输入电压与PFC产生的应力之间的关系。所产生的应力可应用于软结构,以研究软机器人鱼的运动性能。为了支持PFC的驱动模型,对简单梁模型进行了相应的实验。通过将仿真结果与实验结果进行比较,验证了驾驶模型的有效性。然后,进行将流体视为声流体的模态分析。计算流体中软机器人鱼的结构模式频率和模式形状。通过将这些模式的运动与真实鱼类的运动进行比较,可以识别出鱼状推进模式,从而实现软机器人鱼的相应推进运动。此外,基于已验证的软执行器驱动模型,计算了软机器人鱼的主推进运动幅度。通过FSI分析,研究了固定机器人头的情况下,输入信号的驱动频率与推进力和推进运动的位移之间的关系,以及绕软机器人鱼尾流中涡流的分布。此外,还研究了软机器人的运动控制以实现流体中的旋转运动。通过控制机器人的软致动器上的输入电压幅度,当两个致动器上的输入电压幅度不对称分布时,可以识别游泳中的右转和左转运动。第四章是实验评估。为了验证第3章中描述的数值模拟分析的结果,使用实际机器人测量了在固定机器人头的情况下软机器人鱼周围的振型,推进运动的幅度,推进力和涡流分布,并通过实际机器人进行了测量。原型。目前的模拟结果与实验一致。通过结果,验证了该研究中使用的建模方法和数值分析的有效性,它们可用于预测流体中软机器人鱼的推进特性以改善性能。第五章在上述建模方法的基础上,通过优化数值分析,开发出一种高性能的新型软机器人鱼。首先,允许机器人的结构参数在一定范围内变化,并且通过数值分析为不同的参数计算软机器人的推进运动的幅度。然后选择能够大幅度推进运动的机器人的结构参数进行改进。基于此结果,设计并评估了新型软机器人。从新型软机器人的实验结果可以看出,实现了更高的游泳速度,更好的鱼形游泳性能和更大的转弯速度。可以说,新型软机器人鱼已经成功开发改进。第6章总结了本研究的结论和今后的工作。

著录项

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    趙 文静; Wenjing Zhao;

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  • 年度 2016
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  • 原文格式 PDF
  • 正文语种 en
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