摘要 :
The apparent temperature of high-speed flying target is an important parameter when checking the design of heat protection system. This paper analyzes the characteristics of high-speed flying target measured by earth-based staring...
展开
The apparent temperature of high-speed flying target is an important parameter when checking the design of heat protection system. This paper analyzes the characteristics of high-speed flying target measured by earth-based staring infrared imaging system, and found out three facts made the measured image blur, the first is energy spread described by Point Spread Function, the second is the phenomenon of target smearing, and the third is atmospheric agitation and turbulence. Also the energy reflected by the target from sun and earth to infrared measuring system should be considered. Thus the method dealt with static or low-speed target isn't adapt to high-speed target, this paper proposed an effective method dealing with High-speed flying target in infrared image. The first step is computing the luminance reflected by target with information of target's pose and surface structure, the second step is extracting the target from the infrared image then computing the emission intensity with parameters of calibration, the third step is computing the luminance of target by subtract the energy of background and energy reflected from the target, after computing the atmospheric trans, the apparent temperature is finally found.
收起
摘要 :
The apparent temperature of high-speed flying target is an important parameter when checking the design of heat protection system. This paper analyzes the characteristics of high-speed flying target measured by earth-based staring...
展开
The apparent temperature of high-speed flying target is an important parameter when checking the design of heat protection system. This paper analyzes the characteristics of high-speed flying target measured by earth-based staring infrared imaging system, and found out three facts made the measured image blur, the first is energy spread described by Point Spread Function, the second is the phenomenon of target smearing, and the third is atmospheric agitation and turbulence. Also the energy reflected by the target from sun and earth to infrared measuring system should be considered. Thus the method dealt with static or low-speed target isn't adapt to high-speed target, this paper proposed an effective method dealing with High-speed flying target in infrared image. The first step is computing the luminance reflected by target with information of target's pose and surface structure, the second step is extracting the target from the infrared image then computing the emission intensity with parameters of calibration, the third step is computing the luminance of target by subtract the energy of background and energy reflected from the target, after computing the atmospheric trans, the apparent temperature is finally found.
收起
摘要 :
We put forward a new control method combined with semi-discretization and the hysteresis-based switching algorithms for linear system with time-varying delay. Semi-discretization method proposes to discretize the time-delay and co...
展开
We put forward a new control method combined with semi-discretization and the hysteresis-based switching algorithms for linear system with time-varying delay. Semi-discretization method proposes to discretize the time-delay and consider it to be a constant in a switching period, and treat the rest of the variables as continuous, so the system equation can be described by an ordinary differential equation. Using semi-discretization method, we can design an optimal controller for the system at a specific time. Obviously, optimal controllers vary at different time-delays. Since the time-delay varies with time going, we need to switch among different controllers in order to keep the system stable. As to how to switch, we introduce the hysteresis-based switching algorithm. Moreover, a series of simulation results have proved that this new method is able to give a fine performance in controlling such systems.
收起
摘要 :
A multiscale method for the treatment of the micro-scale problems encountered in the simulation of the multiscale flows in the MEMS is presented. In the hybrid method, the rarefied part is simulated by direct simulation Monte Carl...
展开
A multiscale method for the treatment of the micro-scale problems encountered in the simulation of the multiscale flows in the MEMS is presented. In the hybrid method, the rarefied part is simulated by direct simulation Monte Carlo (DSMC) method while the continuum flow is also treated by a particle method called smoothed particle hydrodynamics (SPH). The two methods are very similar both in the modeling and calculation algorithm, so it is easier to get them work cooperatively. The coupling of the two approaches is achieved by using an overlapped domain decomposition method, and an extrapolation method is proposed for the implementation of boundary conditions at the interface. The information preservation (IP) method has been used in the DSMC method to get the low noise boundary conditions for the SPH domain from the DSMC domain. Numerical simulations of low speed gas flow in a two-dimensional channel are carried out to validate the multiscale method.
收起
摘要 :
A multiscale method for the treatment of the micro-scale problems encountered in the simulation of the multiscale flows in the MEMS is presented. In the hybrid method, the rarefied part is simulated by direct simulation Monte Carl...
展开
A multiscale method for the treatment of the micro-scale problems encountered in the simulation of the multiscale flows in the MEMS is presented. In the hybrid method, the rarefied part is simulated by direct simulation Monte Carlo (DSMC) method while the continuum flow is also treated by a particle method called smoothed particle hydrodynamics (SPH). The two methods are very similar both in the modeling and calculation algorithm, so it is easier to get them work cooperatively. The coupling of the two approaches is achieved by using an overlapped domain decomposition method, and an extrapolation method is proposed for the implementation of boundary conditions at the interface. The information preservation (IP) method has been used in the DSMC method to get the low noise boundary conditions for the SPH domain from the DSMC domain. Numerical simulations of low speed gas flow in a two-dimensional channel are carried out to validate the multiscale method.
收起
摘要 :
TiC_2 solution was prepared by employing an ultrasonic decomposition means and demonstrated its nonlinear characteristics at 2 μm range. A passively Q-switched (PQS) Tm:YAIO_3 (Tm:YAP) laser was faultlessly carried out with the T...
展开
TiC_2 solution was prepared by employing an ultrasonic decomposition means and demonstrated its nonlinear characteristics at 2 μm range. A passively Q-switched (PQS) Tm:YAIO_3 (Tm:YAP) laser was faultlessly carried out with the TiC_2 material as saturable absorber (SA), and a 2.22-W average output power with a 579-ns pulse duration at 255 kHz was achieved in PQS mode, matching with an 8.4% optical conversion efficiency. Also, an 8.7-μJ per pulse energy and a15.0-W peak power were gained from a PQS Tm:YAP laser. Furthermore, quality factors of vertical and horizontal beams from Tm:YAP laser were less than 1.2 under two kinds of mode.
收起
摘要 :
TiC_2 solution was prepared by employing an ultrasonic decomposition means and demonstrated its nonlinear characteristics at 2 μm range. A passively Q-switched (PQS) Tm:YAIO_3 (Tm:YAP) laser was faultlessly carried out with the T...
展开
TiC_2 solution was prepared by employing an ultrasonic decomposition means and demonstrated its nonlinear characteristics at 2 μm range. A passively Q-switched (PQS) Tm:YAIO_3 (Tm:YAP) laser was faultlessly carried out with the TiC_2 material as saturable absorber (SA), and a 2.22-W average output power with a 579-ns pulse duration at 255 kHz was achieved in PQS mode, matching with an 8.4% optical conversion efficiency. Also, an 8.7-μJ per pulse energy and a15.0-W peak power were gained from a PQS Tm:YAP laser. Furthermore, quality factors of vertical and horizontal beams from Tm:YAP laser were less than 1.2 under two kinds of mode.
收起
摘要 :
Building a new power system with new energy as the main body is one of the most important measures to achieve “carbon peak and carbon neutral” in China, which also puts forward higher requirements on the data analysis and proces...
展开
Building a new power system with new energy as the main body is one of the most important measures to achieve “carbon peak and carbon neutral” in China, which also puts forward higher requirements on the data analysis and processing capacity of the current power system. In recent years, artificial intelligence algorithms represented by deep learning have provided strong support for the realization and development of new energy power system. The paper summarizes the basic characteristics of deep learning algorithm and its five mainstream models. From the aspects of image recognition, power load prediction, fault diagnosis and system optimization scheduling, the application of deep learning in new energy power system is deeply analyzed. The application prospect of deep learning in new energy power system is prospected in order to provide reference for the research and construction of new power system.
收起
摘要 :
Building a new power system with new energy as the main body is one of the most important measures to achieve “carbon peak and carbon neutral” in China, which also puts forward higher requirements on the data analysis and proces...
展开
Building a new power system with new energy as the main body is one of the most important measures to achieve “carbon peak and carbon neutral” in China, which also puts forward higher requirements on the data analysis and processing capacity of the current power system. In recent years, artificial intelligence algorithms represented by deep learning have provided strong support for the realization and development of new energy power system. The paper summarizes the basic characteristics of deep learning algorithm and its five mainstream models. From the aspects of image recognition, power load prediction, fault diagnosis and system optimization scheduling, the application of deep learning in new energy power system is deeply analyzed. The application prospect of deep learning in new energy power system is prospected in order to provide reference for the research and construction of new power system.
收起
摘要 :
Following the definition of finite time stability, corresponding fundamental theories are given, including qualitative conclusion and application area results regarding finite time stabilization controller design. A detailed descr...
展开
Following the definition of finite time stability, corresponding fundamental theories are given, including qualitative conclusion and application area results regarding finite time stabilization controller design. A detailed description of a class of nonlinear systems is provided. Modeling and linearization problem of single inverted pendulum system are considered. Finally, with the help of linear transformation, finite time stabilization controller for single inverted pendulum system is constructed, followed by relevant simulations.
收起
原文获取