排序方式: 共有9条查询结果,搜索用时 15 毫秒
1
1.
2.
3.
研究水下推进装置结构优化设计问题,建立了扑翼的简谐运动模型,根据有限体积法和非结构动网格技术,完成了对扑翼运动的非定常建模研究.通过计算得到了扑翼运动的水动力特性及流场的变化规律,提出了扑翼产生的涡的特点及其作用机制.计算结果表明:在简谐运动驱动下,扑翼运动能产生较大的推力,而产生的升力较小;扑翼运动过程中伴随着涡的生成和脱离,尾涡能有效地提高扑翼产生的推力,前沿涡能抑制推力的产生和延缓升力的下降趋势.以上研究为水下推进装置优化设计提供了参考依据. 相似文献
4.
An adaptive pole placement control scheme for the adaptive pitch angle control of a bird-like flapping-wing flying robot is designed and implemented. The salient aims of this work are notably twofold: first, since the dynamics of bird-like flapping-wing robots are still not well understood and hence obfuscate the process of deriving a high-fidelity aerodynamical model, we instead elect to designate the system identification component of the control scheme to provide real-time estimates of the low level robot parameters. Input and output data are collated during flight and the recursive least squares method is applied to obtain real-time parameter estimates. Estimated parameters are subsequently used in designing the control law using adaptive pole placement via the polynomial method where we prescribe the desired closed-loop characteristic equation. Secondly, even if the dynamics of the robot varies over time, it is accounted by the adaptive controller without any need to perform tuning since proportional gain values are spontaneously generated. Numerical simulations are first used to assist the design and validate the correct operation of the control scheme. It is then implemented on a real bird-like flapping-wing flying robot; experimental results obtained exhibit close congruence with simulation results. 相似文献
5.
仿生微扑翼飞行器的翅翼设计与优化 总被引:5,自引:0,他引:5
提出了微扑翼机构翅翼的共振激励放大驱动机理及其对翅翼的振动模态要求,并依据该机理用有限元方法研究了微扑翼飞行器的仿生翼设计和优化问题。通过对3种仿昆虫翅翼的模态分析,总结出能够满足共振激励要求的翅翼外型和翅脉布局,建立了参数化的自定义仿生翼模型。在此基础上,以翅翼的展弦比和翅脉关键点的坐标为主要参数,使用有限元优化方法,对仿生翅翼的模态优化进行了初步探讨。文中的建模、分析方法和结论对微扑翼飞行器的分析、设计和应用提供了一定的理论依据。 相似文献
6.
7.
8.
This paper studies the trajectory tracking problem of flapping-wing micro aerial vehicles(FWMAVs)in the longitudinal plane.First of all,the kinematics and dynamics of the FWMAV are established,wherein the aerodynamic force and torque generated by flapping wings and the tail wing are explicitly formulated with respect to the flapping frequency of the wings and the degree of tail wing inclination.To achieve autonomous tracking,an adaptive control scheme is proposed under the hierarchical framework.Specifically,a bounded position controller with hyperbolic tangent functions is designed to produce the desired aerodynamic force,and a pitch command is extracted from the designed position controller.Next,an adaptive attitude controller is designed to track the extracted pitch command,where a radial basis function neural network is introduced to approximate the unknown aerodynamic perturbation torque.Finally,the flapping frequency of the wings and the degree of tail wing inclination are calculated from the designed position and attitude controllers,respectively.In terms of Lyapunov's direct method,it is shown that the tracking errors are bounded and ultimately converge to a small neighborhood around the origin.Simulations are carried out to verify the effectiveness of the proposed control scheme. 相似文献
9.
1