Robust model predictive current control of grid‐connected converter without alternating current voltage sensors

2014 ◽  
Vol 7 (12) ◽  
pp. 2934-2944 ◽  
Author(s):  
Tao Liu ◽  
Changliang Xia ◽  
Tingna Shi
Keyword(s):  
Alternating Current ◽  
Current Control ◽  
Voltage Sensors ◽  
Robust Model ◽  
Current Voltage

An Alternating-Current Voltage Modulated Thermal Probe Technique for Local Seebeck Coefficient Characterization

2014 ◽  
Vol 31 (12) ◽  
pp. 127201
Author(s):  
Kun-Qi Xu ◽  
Hua-Rong Zeng ◽  
Hui-Zhu Yu ◽  
Kun-Yu Zhao ◽  
Guo-Rong Li ◽  
...  
Keyword(s):  
Seebeck Coefficient ◽  
Alternating Current ◽  
Thermal Probe ◽  
Probe Technique ◽  
Current Voltage

Combined Manufacturing Process of Electrochemical-Etching and Electroplating on Nanoporous Silicon for its Metallization

2011 ◽  
Vol 194-196 ◽  
pp. 393-396
Author(s):  
Jia Chuan Lin ◽  
Meng Kai Hsu ◽  
Hsi Ting Hou ◽  
Jia Chi Pan
Keyword(s):  
Manufacturing Process ◽  
Electrochemical Etching ◽  
Current Control ◽  
Control Mode ◽  
Nanoporous Silicon ◽  
Combined Process ◽  
Turn On ◽  
Current Voltage ◽  
Electroplating Process

In this work, a combined process for simultaneously manufacturing nanoporous silicon (NPS) and its metallization was present. The key point is the utilization of adjust electrolyte of silver nitrate and the electroplating timing after the NPS etching process. The current-control mode was used to prepare NPS membrane and the obtained pore-size and pillar-depth were about 0.5 μm and 140 μm, respectively. For clarify the metallization quality of studied process, the semiconductor analyzer was utilized to measured current-voltage (IV) characteristic. Compared to NPS with conventional electroplating process, the contact properties of fabricated sample would be effectively improved by the proposed method. The obtained IV characteristic of sample with combined process shows a larger turn-on current about 277 times than other samples.

scholarly journals A Discrete RMRAC-STSM Controller for Current Regulation of Three-Phase Grid-Tied Converters with LCL filter

2021 ◽  
Author(s):  
GUILHERME VIEIRA HOLLWEG ◽  
PAULO JEFFERSON DIAS DE OLIVEIRA EVALD ◽  
EVERSON MATTOS ◽  
RODRIGO VARELLA TAMBARA ◽  
HILTON ABíLIO GRüNDLING
Keyword(s):  
Control Structure ◽  
Reference Model ◽  
Sliding Mode ◽  
Adaptive Controller ◽  
Current Control ◽  
Robust Adaptive Control ◽  
Lcl Filter ◽  
Robust Model ◽  
Three Phase ◽  
Robust Adaptive

This article presents a discrete robust adaptive control structure, gathering a Robust Model Reference Adaptive Controller (RMRAC) with an adaptive Super-Twisting Sliding Mode (STSM) controller. The resulting control structure is applied to current control of a voltage-fed three-phase inverter, connected to the grid by an LCL filter. The main contribution of this control proposal is its adaptability, maintaining the robustness characteristics of the controllers that compose it with good regulation performance. Moreover, as the adaptive Sliding Mode action is high-order (Super-Twisting), the chattering phenomenon is significantly mitigated. Thereby, its implementation is simplified, using a first order reference model. For this, the dynamics of the LCL filter capacitors are neglected during the modeling process, considering it as an additive unmodeled dynamics. To validate the viability of the proposed control structure, Hardware in the Loop (HIL) results are presented.

scholarly journals Rancang Bangun Sistem Pemantauan Kinerja Panel Surya Tipe Mono-Crystalline Silicon Berbasis IoT

Electrician ◽  
2019 ◽  
Vol 13 (3) ◽  
pp. 81-83
Author(s):  
Mahardika Yoga Darmawan ◽  
Mohamad Samsul Anrokhi ◽  
Ali Komarudin
Keyword(s):  
Standard Deviation ◽  
Time Delay ◽  
Monitoring System ◽  
Data Storage ◽  
Crystalline Silicon ◽  
Sensor Data ◽  
Current Sensor ◽  
Solar Panels ◽  
Voltage Sensors ◽  
Current Voltage

Abstrak — Panel surya dapat diketahui kinerjanya dengan cara mengukur parameter arus dan tegangan namun untuk mendapatkan informasi yang akurat dan berkelanjutan maka perlu adanya sistem pemantuan terhadap panel surya tersebut. Sistem pemantauan pada penelitian ini dibuat dengan berbasis ATMEGA328P, ESP 8266, sensor arus dan tegangan. Dapat disimpulkan bahwa untuk sistem pemantuan kinerja panel surya dalam pengujian memiliki galat sebesar 0.2% untuk sensor tegangan, 0.17 % untuk sensor arus. Untuk data dari sistem pemantuan menunjukkan nilai rata-rata tegangan dan arus sebesar 20.75 volt dan 2.81 ampere dengan standar deviasi 0.32 volt dan 0.14 ampere serta 15 detik untuk jeda pengiriman data ke platform penyimpan data. Kata kunci —Panel Surya, Arus, Tegangan, Pemantauan.     Abstract — Solar panels can be accessed by measuring the current and voltage parameters to obtain accurate and necessary information, so a system of monitoring for the solar panels is needed. The improvement system in this study was made based on ATMEGA328P, ESP 8266, current and voltage sensors. It can be concluded that the solar panel monitoring system in the test has an error of 0.2% for voltage sensor, 0.17 % for current sensor. Data from the monitoring system, the average voltage and current values ​​are 20.75 volts and 2.81 amperes with a standard deviation of 0.32 volts and 0.14 ampere then it takes 15 seconds for time delay in sending data to a data storage platform. Keywords— Solar Panels, Current, Voltage, Monitoring .

scholarly journals Robust model predictive current control without dead-zone compensation

2020 ◽  
Vol 14 (11) ◽  
pp. 2193-2201
Author(s):  
Qiukui Zhang ◽  
Yingping Yi ◽  
Pu Liu
Keyword(s):  
Dead Zone ◽  
Current Control ◽  
Robust Model
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