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901.
Design and analysis of a microprocessor-controlledpeak-power-tracking system [for solar cell arrays]
Stability and dynamics of a series configuration peak-power tracking (PPT) system are analyzed. The operating modes of the system, as well as mode transitions, are investigated based on qualitative graphical representations of dc load lines at various interfaces of the system. Analysis of multiloop control in the PPT mode is discussed. This includes the design of the inner voltage loop and analysis of the closed-loop system stability around the peak-power point. For an optimum dynamic performance and stability, design parameters of the inner voltage loop and the outer PPT loop are identified. Experimental verifications, supported by simulation results, are performed 相似文献
902.
Norman P.J. Galloway S.J. McDonald J.R. 《IEEE transactions on aerospace and electronic systems》2008,44(1):99-110
There is a growing need for accurate and time efficient modelling of electrical distribution networks within the aerospace industry, for which power electronic converters are an integral part. Simplifying converter models is necessary to improve simulation execution times, however many existing techniques do not necessarily give accurate results for all types of system level studies. This paper describes an alternative modelling approach to these, which provides accurate results and reduced simulation times for studies of electrical fault analyses. 相似文献
903.
This paper analyzes a buck/boost regulator employing current-injected control (CIC). It reveals the complex interactions between the dc loop and the current-injected loop and underlines the fundamental principle that governs the loop gain determination. Three commonly used compensation techniques are compared. The integral and lead/lag compensation are shown to be most desirable for performance optimization and stability. 相似文献
904.
905.
J.H. Tian J.C. Zhang Z.Y. Pu 《Advances in Space Research (includes Cospar's Information Bulletin, Space Research Today)》2005,36(12):2372-2377
Intense geomagnetic storms (Dst < −100 nT) usually occur when a large interplanetary duskward-electric field (with Ey > 5 mV m−1) lasts for more than 3 h. In this article, a self-organizing map (SOM) neural network is used to recognize different patterns in the temporal variation of hourly averaged Ey data and to predict intense storms. The input parameters of SOM are the hourly averaged Ey data over 3 h. The output layer of the SOM has a total of 400 neurons. The hourly Ey data are calculated from solar wind data, which are provided by NSSDC OMNIWeb and ACE spacecraft and contain information on 143 intense storms and a fair number of moderate storms, weak storms and quiet periods between September 3, 1966 and June 30, 2002. Our results show that SOM is able to classify solar wind structures and therefore to give timely intense storm alarms. In our SOM, 21 neurons out of 400 are identified to be closely associated with the intense storms and they successfully predict 134 intense storms out of the 143 ones selected. In particular, there are 14 neurons for which, if one or more of them are present, the occurrence probability of intense storms is about 90%. In addition, several of these 14 neurons can predict big magnetic storm (Dst −180 nT). In summary, our method achieves high accuracy in predicting intense geomagnetic storms and could be applied in space environment prediction. 相似文献
906.
Bar-Shalom Y. Chang K.C. Shertukde H.M. 《IEEE transactions on aerospace and electronic systems》1989,25(6):873-878
The authors present a Markov-chain-based performance evaluation technique for two-stage sliding-window cascaded logic (2/2×m /n ) for track formation in a cluttered environment. The main features of this technique are that it avoids the need for extensive simulations and it is more realistic than previous methods, accounting for the association gate size variation. The gates are obtained from a Kalman filter and fully account for the transient observed for the cascaded logic following the two-point initiation from its first stage. Numerical examples of performance evaluation are given along with a logic design example 相似文献
907.
908.
The Weibull-Rician distribution and density functions are derived by a method based on conditional probability. The derivation is much simpler than the usual Rician approach, giving both the distribution and density as single integrals that are easy to evaluate numerically. 相似文献
909.
On the Slow Solar Wind 总被引:1,自引:0,他引:1
A theory for the origin of the slow solar wind is described. Recent papers have demonstrated that magnetic flux moves across
coronal holes as a result of the interplay between the differential rotation of the photosphere and the non-radial expansion
of the solar wind in more rigidly rotating coronal holes. This flux will be deposited at low latitudes and should reconnect
with closed magnetic loops, thereby releasing material from the loops to form the slow solar wind. It is pointed out that
this mechanism provides a natural explanation for the charge states of elements observed in the slow solar wind, and for the
presence of the First-Ionization Potential, or FIP, effect in the slow wind and its absence in fast wind. Comments are also
provided on the role that the ACE mission should have in understanding the slow solar wind.
This revised version was published online in June 2006 with corrections to the Cover Date. 相似文献