Numerical simulations for relatively thick airfoils are carried out in the present studies. An attempt to improve the accuracy of the numerical predictions is done by adjusting the turbulent viscosity of the eddy-visc...
Numerical simulations for relatively thick airfoils are carried out in the present studies. An attempt to improve the accuracy of the numerical predictions is done by adjusting the turbulent viscosity of the eddy-viscosity Menter Shear-Stress-Transport (SST) model. The modification involves the addition of a damping factor on the wall-bounded flows incorporating the ratio of the turbulent kinetic energy to its specific dissipation rate for separation detection. The results are compared with available experimental data and CFD simulations using the original Menter SST model. The present model improves the lift polar prediction even though the stall angle is still overestimated. The improvement is caused by the better prediction of separated flow under a strong adverse pressure gradient. The results show that the Reynolds stresses are damped near the wall causing variation of the logarithmic velocity profiles.
In this paper, a brain-computer interface (BCI) paradigm based on steady-state visually evoked potentials (SSVEP) is used to determine the motion effects of stimulus targets on the classification accuracy and signal-t...
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ISBN:
(纸本)9781509030729
In this paper, a brain-computer interface (BCI) paradigm based on steady-state visually evoked potentials (SSVEP) is used to determine the motion effects of stimulus targets on the classification accuracy and signal-to-noise ratio (SNR) in a virtual environment. Several paths including fixed and up/down with different speeds were set to look for performance differences. Experimental results show that the accuracy with moving targets is sometimes better than that for conventional non-moving targets, and even the relative SNR is improved with motion on occasions. This provides a basis for intensive study of the influence of moving objects on BCIs and target detection in real environments.
3D mapping for unknown environments is a crucial issue for mobile service robots, which has many important applications in navigation and path planning. In this paper, we use Microsoft kinect sensor mounted on a mobil...
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ISBN:
(纸本)9781509009107
3D mapping for unknown environments is a crucial issue for mobile service robots, which has many important applications in navigation and path planning. In this paper, we use Microsoft kinect sensor mounted on a mobile robot to obtain 3D map. During the process, consistent frames of RGB-D data are captured and integrated. Iterative Closest Point (ICP) algorithm and incremental registration method are employed to perform the fine registration. Furthermore, we use OctoMap to store 3D map of octree representation, an efficient data structure. Finally, our results demonstrate the practical applicability and effectiveness of the proposed approach.
This paper concerns with the optimal consensus problem of multi-agent networks under imperfect *** the network issues, we resort to an integrated scheme of the standard gossip algorithm and the subgradient method for ...
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ISBN:
(纸本)9781467374439
This paper concerns with the optimal consensus problem of multi-agent networks under imperfect *** the network issues, we resort to an integrated scheme of the standard gossip algorithm and the subgradient method for multiagent cooperative control. Under the proposed control strategy, agents are supposed to transfer desirable information through a quantized mechanism, and the dithering technique is adopted to deal with the triggered quantization errors. Detailed convergence analysis is carried out by the stochastic approximation method. It is demonstrated that multi-agent networks can achieve almost sure optimal consensus under the proposed algorithm through quantized communication. Related simulation work is further given to validate the derived theoretical results.
In this paper, synchronization of drive-response complex dynamical networks with fractional-order dynamical nodes is discussed. Only scalar signals as the feedback variable are required to be transmitted from the driv...
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ISBN:
(纸本)9781467374439
In this paper, synchronization of drive-response complex dynamical networks with fractional-order dynamical nodes is discussed. Only scalar signals as the feedback variable are required to be transmitted from the driving network to the response network, which can save a lot of channel resources and has more significant meanings in engineering applications. Based on the Jordan canonical transformation method, some criteria for synchronization of fractional-order drive-response complex dynamical networks are given in the form of normal algebraic inequalities, which can greatly decrease the original computational ***, a numerical simulation is provided to validate the effectiveness and feasibility of the proposed synchronization criteria.
An elastic-plastic finite element model of cylindrical roller bearing under overload condition is established, analyzing the influences of different overload coefficiency on stress and strain distribution of cylindric...
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This paper is concerned with the design of linear matrix inequalities (LMIs) based optimal state-feedback controller design for seismically excited asymmetric structures (AS) having stiffness irregularities. The syste...
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In this paper, a method to implement the input shaping control in Mechatrolink-III motion system is introduced. Firstly, the underdamped system is theoretically built by modeling. Then, the motion controller of Mechat...
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This paper presents a compact and low cost digital signal controller (DSC) based implementation for power control of a doubly fed induction generator (DFIG) based wind energy setup for micro-grid applications. The exp...
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ISBN:
(纸本)9781479917631
This paper presents a compact and low cost digital signal controller (DSC) based implementation for power control of a doubly fed induction generator (DFIG) based wind energy setup for micro-grid applications. The experimental setup consists of a back to back converter, a 1.1 kW DFIG and two low cost, industry standard DSCs. Stator active power and reactive power are controlled by means of the rotor currents. Decoupled components of the rotor current in a rotating frame are controlled by a robust, disturbance observer based control structure. The proposed controller was validated through experiments.
Greenhouses gases (GHGs) are a major problem in the world since they cause warming of the atmosphere and climate change which lead to global warming. Gasoline from transportation systems is the main source of GHGs. Fr...
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