Title :
Bio-inspired flow adaptability control supported by CFD
Author :
Han Zhou ; Tianjiang Hu ; Guangming Wang ; Zhaowei Ma ; Lincheng Shen
Author_Institution :
Coll. of Mechatron. & Autom., Nat. Univ. of Defense Technol., Changsha, China
Abstract :
Fish adapt swimming modes to changing environment, and display excellent performance. A Computational Fluid Dynamics (CFD) Platform for bionic undulation swimming simulation is set up to explore the adaptability mechanisms. Furthermore, this paper proposes bio-inspired flow adaptability control method. The CFD-in-loop control system includes a flow adaptability controller, undulation motion generator, information virtual sensor, behavior adaptability rule base, and the CFD platform. Fish swimming mechanisms, swimming modes and control algorithm could be tested and analyzed on the system. In the end, an eel swimming simulation is implemented as validity check case, and the swimming performance with different swimming parameters is comparative analyzed.
Keywords :
adaptive control; biocybernetics; biological fluid dynamics; computational fluid dynamics; control system analysis; flow control; mobile robots; CFD-in-loop control system; Eel swimming simulation; behavior adaptability rule base; bio-inspired flow adaptability control method; bionic undulation swimming simulation; computational fluid dynamics; control algorithm; fish swimming mechanisms; information virtual sensor; swimming modes; undulation motion generator; Biological system modeling; Computational fluid dynamics; Educational institutions; Electronic mail; Marine animals; Time-frequency analysis; Bio-inspired Flow Adaptability Control; Computational Fluid Dynamics (CFD); Eel Swimming; Numerical Simulation; Virtual sensing;
Conference_Titel :
Control Conference (CCC), 2013 32nd Chinese
Conference_Location :
Xi´an