This work proposes a nonlinear controller for an autonomous helicopter, to track a given 3D trajectory. The starting point is a dynamic model obtained using the Euler-Lagrange formulation, considering the aircraft as ...
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ISBN:
(纸本)9781424456956
This work proposes a nonlinear controller for an autonomous helicopter, to track a given 3D trajectory. The starting point is a dynamic model obtained using the Euler-Lagrange formulation, considering the aircraft as a rigid body. The first contribution is the proposal of a suitable control law considering the nonlinear model, with no linearization strategy, and a proof of the stability of the closed-loop system that embeds such controller. The second contribution is the fact that the proposed controller is based on the inverse dynamics, focusing on its underactuated-system character. Finally, simulation results are presented and discussed, which validate the proposed controller.
Sensor networks are being used in several emerging applications not even imagined some years ago due to advances in sensing, computing, and communication techniques. However, these advances also pose various challenge...
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Simultaneous measurement of the bending curvature and axial stress by using dual fiber Bragg gratings and a side-polished technique is presented. Curvature measurement, using side-polished fiber Bragg gratings with di...
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Control synthesis for robust tracking is considered for a class of pulse-width modulated systems that appear, for example, in power electronics applications. The control objective is to regulate a high frequency rippl...
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High-frequency power Doppler imaging of angiogenesis can be challenging given the presence of small blood vessels and slow flow velocities. In the presence of substantial Doppler artifacts such as false-positive color...
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This paper presents an improved group search optimizer(iGSO) for solving mechanical design optimization *** the proposed algorithm,subpopulations and a co-operation evolutionary strategy were adopted to improve the gl...
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This paper presents an improved group search optimizer(iGSO) for solving mechanical design optimization *** the proposed algorithm,subpopulations and a co-operation evolutionary strategy were adopted to improve the global search capability and convergence *** iGSO is evaluated on two optimization problems of classical mechanical design:spring and pressure *** experimental results are analyzed in comparison with those reported in the *** results show that iGSO has much better convergence performance and is easier to implement in comparison with other existing evolutionary algorithms.
Even as the 21st Century dawns, Taiwan has already become an aging society. As of 2007, more than 10% of the population is composed of elderly people over 65 years of age. Due to a decrease in total fertility rate to ...
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The finger vein image acquired with an acquisition system should be properly aligned to proceed with comparing algorithm. However it is not easy to find control the points since the images are naturally blurred with a...
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The Cu-Mn alloy films have been successfully fabricated by a novel chemical displacement process. The surface morphologies and displacement rate of Cu-Mn with pH values and temperatures are investigated in this paper....
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