Maximized Hydrodynamic Stimulation Strategy for Placement of Differential Pressure and Velocity Sensors in Artificial Lateral Line Systems

Yang, Zhen; Gong, Zheng; Jiang, Yonggang; Cai, Yueri; Ma, Zhiqiang; Xin, Na; Dong, Zihao; Zhang, Deyuan

doi:10.1109/lra.2022.3143203

Cited by 15 publications

(14 citation statements)

References 31 publications

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“…[36][37][38][39][40][41] Yang et al developed an ALL system integrated with both pressure and flow sensors and demonstrated the complementation of pressure and flow sensing. [42] However, the data fusion of pressure and flow information was not presented. The technological challenge is how to design a flexible flow sensing skin with excellent waterproof, high-pressure resistance, and sufficient sensitivity for underwater environments.…”

Section: Discussionmentioning

confidence: 99%

Flexible Skin for Flight Parameter Estimation Based on Pressure and Velocity Data Fusion

Xin

Gong

Dong

et al. 2022

Advanced Intelligent Systems

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Accurate perception of flight parameters is essential for the safe and stable flight of small unmanned aerial systems (SUASs). However, traditional flush air data sensing (FADS) systems require complex tubing and fuselage openings. Herein this study, a flexible skin system integrated with a pressure and thermal flow sensor array, and a dual‐sensor fusion algorithm for determining the angle of attack (AOA) and airspeed (V ∞ ), are proposed. By establishing an error back‐propagation neural network, the dual‐sensor fusion modality demonstrates higher estimation accuracy than other modalities that utilize only pressure data or only flow velocity data, achieving mean absolute errors of the AOA and V ∞ of less than 0.16° and 0.37 ms−1, respectively. Moreover, the simulation and experimental results show that sensors placed closer to the leading edge of the wing can provide higher estimation accuracy of the flight parameters. The flight parameters determined using the flexible air data sensing system and dual‐sensor fusion algorithm demonstrate potential application in the flight control of SUASs.

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Section: Discussionmentioning

confidence: 99%

Flexible Skin for Flight Parameter Estimation Based on Pressure and Velocity Data Fusion

Xin

Gong

Dong

et al. 2022

Advanced Intelligent Systems

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“…Sensory organs and flow field distribution of fish (Reproduced with permission. [ 54 ] Copyright 2022, IEEE) and mosquitoes (Reproduced with permission. [ 55 ] Copyright 2010, Springer Nature; Reproduced with permission.…”

Section: Morphological Intelligence For Stimulus Enhancementmentioning

confidence: 99%

“…Yang et al performed CFD simulations using a high‐fidelity model and found that the regions with the maximum flow stimuli were consistent with the lateral line distribution of S. tianlinensis . [ 54 ] Figure a–c shows the correlation between lateral line distribution (Figure 4a) of S. tianlinensis , maximum pressure stimulus (Figure 4b), and maximum flow velocity stimulus (Figure 4c) on the fish body. The maximized hydrodynamic stimulation strategy, which is obviously followed by the biological world, can be applied to place sensors in robotic fish and other underwater vehicles.…”

Section: Morphological Intelligence For Stimulus Enhancementmentioning

confidence: 99%

“…Many researchers have demonstrated the applications of flow sensor arrays in the estimation of flight parameters [117] and altitude control of underwater robots. [54,118,119] The application of mechanical intelligence in a system level is a very promising and interesting field which is seldomly explored.…”

Section: System-level Application Of Morphological Intelligencementioning

confidence: 99%

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Morphological Intelligence Mechanisms in Biological and Biomimetic Flow Sensing

Gong

Cao

et al. 2023

Advanced Intelligent Systems

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Many aquatic and aerial animals have evolved highly sensitive flow receptors to help them survive in challenging environments. The biological flow receptors, such as filiform hairs, lateral lines, and seal whiskers, are elegantly designed with interesting biomechanical processing principles for extreme sensitivity, exhibiting obvious morphological intelligence. For instance, superficial neuromasts on the surface of fish body have an elongated cupula to enhance flow detection with a magnified drag. The flow‐induced mechanical information is transferred to arrayed hair bundles in the neuromasts, which show spontaneous oscillation and mechanical coupling effects for a high mechanical sensitivity. In this review, the biomechanical principles of morphological intelligence in biological flow field receptors are discussed, with an emphasis on the functions of stimulus enhancement, noise reduction, and nonlinear oscillation. In addition, the recent achievements in flow sensors with morphological intelligence are summarized in this article. Though there is still a big gap in principle discovery and practical application of morphological intelligence in engineered sensors, it can be anticipated that the field of intelligent flow sensing will be significantly promoted by the establishment of morphological intelligence models.

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“…Inspired by the lateral line system of fish, relevant scholars have creatively proposed the artificial lateral line system concept. As a result, whether the prepared lateral line sensor and the bionic robotic fish constructed can have the ability to perceive the water flow field with high sensitivity and precision has become the focus of current research [4][5][6][7]. However, researchers tend to ignore the water fluid uncertainty factor, with high accuracy, high resolution, and noise suppression sensors.…”

Section: Introductionmentioning

confidence: 99%

Research on the application of artificial lateral line system for different sensing effects of fish

Zhao,

Lei

2023

Ninth International Conference on Mechanical Engineering, Materials, and Automation Technology (MMEAT 2023)

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The lateral line system is an essential sensing organ formed by the long-term optimization of fish for hundreds of millions of years. It has excellent sensing ability in complex underwater environments. Fish can use the lateral line system to detect objects' orientation and analyze the surrounding fluid's dynamic properties and other adequate information. The biological behaviour of fish is closely related to the lateral line system, manifested in the avoidance of natural enemies, population communication, food intake and so on. Firstly, this article elaborates on the physiological characteristics of the lateral line system in fish and distinguishes the functions and roles of different nerve neuromasts. Secondly, the superficial flow sensors based on other sensing principles in recent years are reviewed, and the application of piezoelectric and piezoresistive sensors in the artificial lateral line system is emphasized. In the end, the paper makes a comprehensive summary and outlook, summarizes the current challenges, and points out the necessary research directions for the future.

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Maximized Hydrodynamic Stimulation Strategy for Placement of Differential Pressure and Velocity Sensors in Artificial Lateral Line Systems

Cited by 15 publications

References 31 publications

Flexible Skin for Flight Parameter Estimation Based on Pressure and Velocity Data Fusion

Flexible Skin for Flight Parameter Estimation Based on Pressure and Velocity Data Fusion

Morphological Intelligence Mechanisms in Biological and Biomimetic Flow Sensing

Research on the application of artificial lateral line system for different sensing effects of fish

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