Robust Output Voltage Tracking Control for Uncertain AC/DC Converter |
Hyo Chan Lee, Jeon Ji, Sanwoo Park, Bonn Koo, Seok-Kyoon Kim(Hanbat National University, Korea) |
This article gives a cascade output voltage tracking algorithm embedding the robust inner-loop and outer-loop controllers against the parameter variations with stability guarantee. The inner loop is designed in the form of a simple feedback-linearizing controller to robustly stabilize the current tracking error dynamics despite the parameter variations. |
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Predicting Temperature Fluctuation of Five Axis Controlled Compact Machine Tool Equipped with a Wave Motion Gear Device Based on a Thermal Network Model |
Kazuki Ozawa, Toshiki Hirogaki, Eiichi Aoyama(Doshisha University, Japan) |
To reduce the power consumption, a reduction gear attached to the rotation control shaft was employed in this study, and a wave gear device was used as the reduction gear. A wave gear device has the characteristic in that its efficiency changes significantly with temperature change. Therefore, while considering the characteristics of the wave gear device, we recorded the power consumption when the rotating axis was operated under various drive conditions. The results indicate that the lubricating oil influenced the power value. In addition, we succeeded in analyzing a temperature rise prediction model from the power loss. |
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Investigation on Optimal Pulse Current Charging of Lithium-ion Batteries using Electro-Chemical Model |
Tae-Ryong Park, Jae-In Lee, Yu-Song Choi(Agency for Defense Development, Korea) |
Research on charging strategies for lithium-ion batteries have been widely conducted for fast and safe charging. Among them, pulse charging technology is attracting attention for its effectiveness in terms of suppressing
degradation and fast charging. Pulse charging can reduce the polarization voltage by facilitating diffusion of lithium-ions in the electrode by giving a rest time during charging. In this study, by using electrochemical model of the lithium-ion battery, we analyze the effect of battery degradation according to various pulse parameter and find the optimal pulse parameter |
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Meta-Cognitive Fuzzy Neural Network Control for Active Power Filter |
Ming Yang, Jienan Han, Qianwen Xie(Hohai University, China) |
In this paper, an adaptive robust meta-cognitive fuzzy-neural-network control using sliding mode control is proposed for active power filter (APF), whereby a meta-cognitive fuzzy-neural-network (MCFNN) is employed to approximate modeling uncertainties. To overcome the drawbacks of conventional sliding mode control, the control law is constructed based on MCFNN rather than the actual systems. Unlike the predefined structure approaches, MCFNN is able to adapt the structure and parameters of the networks using the input information.Simulation studies demonstrate that the proposed control methods exhibit excellent performance in both steady state and transient operation. |
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The Effect of Core Parking for Energy-efficient Matrix-Matrix Multiplication by using AVX and OpenMP |
NWE ZIN OO(Prince of Songkla University, Thailand) |
Today’s modern computers support multi-core processors architecture that enhances parallel computing with single instruction multiple data computing. Although CPU parking was controlled entirely by the operating system of both laptops and desktops computers, the performance can be boost by tweaking CPU core parking and changing frequency scaling in real-time. Core parking is a mechanism for optimization to save power consumption by dynamically disabling/enabling CPU cores to conserve power when the processors are in the idle stage. In this paper, the effect of core parking for parallel matrix-matrix multiplication on shared memory is proposed by utilizing AVX and OpenMP. |
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