On the analysis of an endothermal/exothermal saturation problem

1999 ◽  
Vol 93 (5) ◽  
pp. 711-718
Author(s):  
B. Louro ◽  
J. -F. Rodrigues
Keyword(s):  
2020 ◽  
Vol 2020 ◽  
pp. 1-11
Author(s):  
Changfan Zhang ◽  
Qian Zhang ◽  
Jing He ◽  
Jianhua Liu ◽  
Xingxing Yang ◽  
...  

In the coordinated control of multiple motors for heavy-haul locomotives, the input value for a motor often exceeds its maximum allowable input value, resulting in the saturation problem. A traction total-amount coordinated tracking control (TACTC) strategy is proposed to address the input saturation of heavy-haul locomotives driven by multiple motors. This strategy reduces control input and suppresses input saturation. First, a multimotor traction model with uncertain parameter perturbations and external disturbances was established. Next, a sliding-mode disturbance observer (SMDO) was designed to reduce the sliding-mode switching gain, thereby decreasing the control input. An auxiliary anti-windup (AW) system was used to weaken the effect of input saturation on tracking performance. Then, the observed value and auxiliary state were fed back to the sliding-mode controller to design a TACTC protocol and ensure that the total amount of traction torque follows the desired traction characteristic curve. Finally, the Matlab/Simulink simulation and RT-Lab semiphysical experiment results show that the proposed strategy can effectively suppress the input saturation problem of multimotor coordinated control.


1969 ◽  
Vol 21 (1) ◽  
pp. 65-83 ◽  
Author(s):  
Yoshiya Suzuki ◽  
Satoshi Watanabe

2010 ◽  
Vol 2010 ◽  
pp. 1-11 ◽  
Author(s):  
Dimitris Vasiliadis ◽  
George Rizos ◽  
Costas Vassilakis

The performance of Multistage Interconnection Networks (MINs) under hotspot traffic, where some percentage of the traffic is targeted at single nodes, which are also called hot spots, is of crucial interest. The prioritizing of packets has already been proposed at previous works as alleviation to the tree saturation problem, leading to a scheme that natively supports 2-class priority traffic. In order to prevent hotspot traffic from degrading uniform traffic we expand previous studies by introducing multilayer Switching Elements (SEs) at last stages in an attempt to balance between MIN performance and cost. In this paper the performance evaluation of dual-priority, double-buffered, multilayer MINs under single hotspot setups is presented and analyzed using simulation experiments. The findings of this paper can be used by MIN designers to optimally configure their networks.


2004 ◽  
Vol 33 (11) ◽  
pp. 1147-1164 ◽  
Author(s):  
Sang-Hyun Lee ◽  
Kyung-Won Min ◽  
Young-Cheol Lee ◽  
Lan Chung

1988 ◽  
Vol 208 (1) ◽  
pp. 33-38 ◽  
Author(s):  
R.F. Casten ◽  
K. Heyde ◽  
A. Wolf

2011 ◽  
Vol 35 (1) ◽  
pp. 34-55 ◽  
Author(s):  
J.C. Moreno ◽  
J.L. Guzmán ◽  
A. Baños ◽  
M. Berenguel

2019 ◽  
Vol 11 (19) ◽  
pp. 2328 ◽  
Author(s):  
Guiying Li ◽  
Zhuli Xie ◽  
Xiandie Jiang ◽  
Dengsheng Lu ◽  
Erxue Chen

Data saturation in optical sensor data has long been recognized as a major factor that causes underestimation of aboveground biomass (AGB) for forest sites having high AGB, but there is a lack of suitable approaches to solve this problem. The objective of this research was to understand how incorporation of forest canopy features into high spatial resolution optical sensor data improves forest AGB estimation. Therefore, we explored the use of ZiYuan-3 (ZY-3) satellite imagery, including multispectral and stereo data, for AGB estimation of larch plantations in North China. The relative canopy height (RCH) image was calculated from the difference of digital surface model (DSM) data at leaf-on and leaf-off seasons, which were extracted from the ZY-3 stereo images. Image segmentation was conducted using eCognition on the basis of the fused ZY-3 multispectral and panchromatic data. Spectral bands, vegetation indices, textural images, and RCH-based variables based on this segment image were extracted. Linear regression was used to develop forest AGB estimation models, where the dependent variable was AGB from sample plots, and explanatory variables were from the aforementioned remote-sensing variables. The results indicated that incorporation of RCH-based variables and spectral data considerably improved AGB estimation performance when compared with the use of spectral data alone. The RCH-variable successfully reduced the data saturation problem. This research indicated that the combined use of RCH-variables and spectral data provided more accurate AGB estimation for larch plantations than the use of spectral data alone. Specifically, the root mean squared error (RMSE), relative RMSE, and mean absolute error values were 33.89 Mg/ha, 29.57%, and 30.68 Mg/ha, respectively, when using the spectral-only model, but they become 24.49 Mg/ha, 21.37%, and 20.37 Mg/ha, respectively, when using the combined model with RCH variables and spectral band. This proposed approach provides a new insight in reducing the data saturation problem.


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