Anti-Islanding Scheme for Synchronous DG Units Based on Tufts–Kumaresan Signal Estimation Method

2013 ◽  
Vol 28 (4) ◽  
pp. 2185-2193 ◽  
Author(s):  
Mohsen Bakhshi ◽  
Reza Noroozian ◽  
G. B. Gharehpetian
2008 ◽  
Vol 53 (5) ◽  
pp. 1353-1367 ◽  
Author(s):  
C C Constantinescu ◽  
K K Yoder ◽  
D A Kareken ◽  
C A Bouman ◽  
S J O'Connor ◽  
...  

2014 ◽  
Vol 644-650 ◽  
pp. 4595-4598
Author(s):  
Gang Fu ◽  
Jian Hua Lin ◽  
Qian He

This paper presents a new method for strong background noise of known frequency signal estimation method is then applied to the demodulated digital FM signal. This new method only needs to know the frequency of the demodulated carrier signal phase information without the need to complete the digital FM demodulation signal. Computer simulations show that the method has more than non-coherent demodulation noise immunity, and has a very strong ability of anti-phase fluctuations. Thus, the demodulation method has good prospects for engineering applications.


Author(s):  
Osamu Kobayashi ◽  
Yuji Wakasa ◽  
Kanya Tanaka ◽  
Takuya Akashi

2016 ◽  
Vol 16 (3) ◽  
pp. 127-133 ◽  
Author(s):  
Jian-Ping Yu ◽  
Wen Wang ◽  
Xin Li ◽  
Zhao-Zhong Zhou

Abstract This paper presents a novel phase-shift arctangent (PSA) interpolation method to improve the measurement accuracy of a planar capacitive incremental displacement sensor. Signals of planar capacitive micro-sensors acquire waveform errors, including sensitivity differences and phase-shift errors, because of static errors and dynamic disturbances. In the proposed PSA scheme, such errors are removed completely by loading a particular arctangent function. Moreover, measuring efficiency of the proposed planar capacitive sensors is improved by combining coarse measurement and fine estimation. Experiments show unanimous results to model-based fitting. When electrode length is four times the gap distance, applying the PSA interpolation method decreases waveform errors from more than 4 % to 1.72 %.


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