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Development of a Smart Static Transfer Switch Based on a Triac Semiconductor for AC Power Switching Control

Research Abstract

Power system disruptions can be categorized as issues with the quality of electricity brought on by voltage sags, lightning strikes, and other system-related interferences. The static transfer switch (STS) has recently emerged as the most important technology for electric power transmission, distribution, and control systems to manage power supply during power system disruption issues, particularly in cost-effectively supplying power to critical loads and sensitive loads without interruption. In this paper, for the switching between the two AC sources during the voltage disruptions issue with low transfer time, a smart static transfer switch (SSTS) based on a digital switching algorithm and Triac semiconductor switch is proposed and experimentally tested. A digital switching algorithm based on online AC voltage sensing and zero-crossing detection is proposed and implemented inside a DSP MCU. The printed circuit board (PCB) of the proposed SSTS is designed and manufactured for the experimental performance investigation with different AC input voltage conditions. A comparative study based on the advantages and disadvantages of the proposed SSTS system with the previous works is also presented. A smart static transfer switch with a transition time of less than one cycle and a digital protection technique during fault conditions is obtained in this work.

Research Authors
Ahmed H. Okilly, Namhun Kim, Jonghyuk Lee, Yegu Kang, Jeihoon Baek
Research Date
Research Department
Research File
Research Journal
Energies
Research Member
Research Pages
https://www.mdpi.com/1996-1073/16/1/526
Research Publisher
MDPI
Research Vol
16
Research Website
10.3390/en16010526
Research Year
2023

Digital Control Bridge/Bridgeless PFC Converters with Modified Current Controller for ZCD Reduction

Research Abstract

The power factor correction (PFC) converters built for telecom applications must meet certain standards in order to keep the total harmonics distortion (THD) at the specified low levels to reduce the current stresses, reduce the power losses and hence increase the converter efficiency and input power factor (PF). Thus, in this paper, the small-signal stability models of the telecom bridge and bridgeless PFC converters are derived and based on the derived stability models, the fast-dynamic response integral-proportional (IP) current control technique is proposed to improve the control loops performance around the current waveform zero-crossing point, reduce zero crossing distortion (ZCD), reduce the THD, and reaches the input current PF near to unity. The digital simulation modeling using PSIM software of the 2.5 kW bridge and bridgeless PFC converters is performed to show the converter's performance with the proposed current technique as compared with the conventional proportional-integral (PI) control technique. The proposed current controller in this work improves the current control loop performance, reduces the ZCD period, reduces the THD to about 5% and reaching converters input PF near unity in both bridge and bridgeless PFC converters.

Research Authors
Ahmed H. Okilly, Namhun Kim, Sangshin Kwak, Jeihoon Baek
Research Date
Research Department
Research Journal
2022 IEEE International Conference on Power Systems Technology (POWERCON)
Research Member
Research Pages
10.1109/POWERCON53406.2022.9929998
Research Publisher
IEEE
Research Website
10.1109/POWERCON53406.2022.9929998
Research Year
2022

Design of Wide Input Voltage Range and High PF Two-Stage AC-AC Converter Suitable for Inductive Loads

Research Abstract

In this paper, a two-stage AC-AC power supply is designed to specifically handle the operation and performance improvements of the power system with highly inductive loads. The proposed power supply scheme includes an input interleaved power factor correction (PFC) stage to improve the input power factor (PF) and regulate the DC bus voltage required for the second stage, which is a voltage source inverter (VSI) with an output low pass filter to adjust the load harmonics contents and regulate the load voltage and frequency to the specified AC load values. The small-signal models of the PFC and VSI stages are obtained, and optimal voltage and current control loops for both stages are designed based on the obtained models to improve the required system power performance and stability. PSIM simulation is used to examine the performance of the proposed power supply under various input-output operation conditions. This work achieves a 500VA, (180-260)V RMS Power supply with an input PF of 99%, better output voltage regulation, and a lower THD value for the purpose of supplying industrial inductive loads.

Research Authors
Ahmed H. Okilly, Jeihoon Baek
Research Date
Research Department
Research File
Research Journal
The Transactions of The Korean Institute of Electrical Engineers
Research Member
Research Pages
10.5370/KIEE.2022.71.4.632
Research Publisher
The Korean Institute of Electrical Engineers
Research Vol
71
Research Website
https://www.dbpia.co.kr/journal/articleDetail?nodeId=NODE11053382&language=ko_KR&hasTopBanner=true
Research Year
2022

Magnetic Power Components Design Analysis and Manufacturing For an-Isolated High-Power Density Telecom DC-DC Converter Stage

Research Abstract

The adoption of 5G technology in communications necessitates an increase in supply power factor and conversion efficiency to improve power quality. A two-stage AC-DC power supply with a power factor correction (PFC) stage and a DC-DC converter stage is the best option for supplying power to these loads, with the PFC stage's optimized design offering a high power factor and the DC-DC stage's optimized design offering low voltage and current stresses, low thermal and conduction power losses and then high conversion efficiency. Thus, an optimized design and manufacturing technique for the magnetic components, including the high-frequency (HF) transformer and inductors are proposed in this paper for the telecom power supply second stage to offer operation with zero voltage switching (ZVS), improve conversion efficiency, reduce voltage and current stresses, and maintain the load voltage and current ripple contents at the standard levels. Loss analysis is performed on all designed magnetic power components. The performance of the developed converter with the optimized design components is investigated using PSIM simulations and experimental verification.

Research Authors
Ahmed H. Okilly, Jeihoon Baek
Research Date
Research Department
Research Journal
The Transactions of The Korean Institute of Electrical Engineers
Research Member
Research Pages
10.5370/KIEE.2022.71.7.959
Research Publisher
The Korean Institute of Electrical Engineers
Research Vol
71
Research Website
https://www.dbpia.co.kr/journal/articleDetail?nodeId=NODE11083617&language=ko_KR&hasTopBanner=true
Research Year
2022

Design and Fabrication of an Isolated Two-Stage AC-DC Power Supply with a 99.50% PF and ZVS for High-Power Density Industrial Applications

Research Abstract

Power quality in terms of power factor (PF), efficiency, and total harmonic distortions (THDs) is an important consideration in power supplies designed for 5G telecom servers. This paper presents a different magnetic parts design and manufacturing techniques of power supplies, design and selection criteria of switching elements as well as the optimal design of control loops based on small-signal stability modeling and an appropriate stability criterion. The designed telecom power supply consists of the power factor correction (PFC) stage to increase the input power factor and the isolated phase-shift pulse width modulation (PWM) zero-voltage switching (ZVS) DC-DC converter stage to regulate the supply voltage to the specified load value while maintaining a high conversion efficiency. A two-stage outdoor telecom power supply with a power rating of 2 kW was designed and fabricated on a printed circuit board (PCB). The distinct two-stage power components of the power supply were subjected to loss analysis. Furthermore, PSIM simulation and experiments were used to demonstrate the total harmonic distortions (THDs), voltage ripples, power efficiency, and PF performance of the supply current for the proposed power supply under various operating situations. This work produces an industrial high power density power supply with a high PF, low THD and high conversion efficiency which is suitable for telecom power server applications.

Research Authors
Ahmed H. Okilly, Jeihoon Baek
Research Date
Research Department
Research Journal
electronics
Research Member
Research Pages
10.3390/electronics11121898
Research Publisher
MDPI
Research Vol
11
Research Website
10.3390/electronics11121898
Research Year
2022

Robust Behavior Cloning for Multi-Step Sequential Task Learning by Robots

Research Abstract
This research is about learning high-level policies of multi-step sequential (MSS) tasks–such as activities of daily living–from demonstrations in a sample efficient manner. This research does not assume access to a simulator or an expert to provide more demonstrations. Learning a task policy in such a setting using state-of-the-art end-to-end approaches is sample inefficient due to a reliance on deep learning frameworks, which are known to require a large amount of data. Besides that, most imitation learning frameworks in robotics assume that a domain expert’s demonstration always contains a correct way of doing the task. Despite its theoretical convenience, this assumption has limited practical value in real-world imitation learning. There are many reasons for an expert in the real world to provide demonstrations that may contain incorrect or potentially unsafe ways of doing a task. To that end, my work proposes a …
Research Authors
Mostafa Hussein
Research Date
Research Journal
University of New Hampshire
Research Website
https://www.proquest.com/openview/b19d9efd698f4a371b1d52aa66a19202/1?pq-origsite=gscholar&cbl=18750&diss=y
Research Year
2023

Detecting Incorrect Visual Demonstrations for Improved Policy Learning

Research Abstract
Learning tasks only from raw video demonstrations is the current state of the art in robotics visual imitation learning research. The implicit assumption here is that all video demonstrations show an optimal/sub-optimal way of performing the task. What if that is not true? What if one or more videos show a wrong way of executing the task? A task policy learned from such incorrect demonstrations can be potentially unsafe for robots and humans. It is therefore important to analyze the video demonstrations for correctness before handing them over to the policy learning algorithm. This is a challenging task, especially due to the very large state space. This paper proposes a framework to autonomously detect incorrect video demonstrations of sequential tasks consisting of several sub-tasks. We analyze the demonstration pool to identify video (s) for which task-features follow a ‘disruptive’sequence. We analyze entropy to measure this disruption and–through solving a minmax problem–assign poor weights to incorrect videos. We evaluated the framework with two real-world video datasets: our custom-designed Tea-Making with a YuMi robot and the publicly available 50-Salads. Experimental results show the effectiveness of the proposed framework in detecting incorrect video demonstrations even when they make up 40% of the demonstration set. We also show that various state-of-the-art imitation learning algorithms learn a better policy when incorrect demonstrations are discarded from the training pool.
Research Authors
Mostafa Hussein, Momotaz Begum
Research Date
Research Department
Research Journal
Conference on Robot Learning
Research Pages
1817-1827
Research Publisher
PMLR
Research Website
https://proceedings.mlr.press/v205/hussein23a.html
Research Year
2023

Robust Behavior Cloning with Adversarial Demonstration Detection

Research Abstract
Imitation learning (IL) frameworks in robotics typically assume that a domain expert's demonstration always contains a correct way of doing the task. Despite its theoretical convenience, this assumption has limited practical values for an IL-powered robot in real world. There are many reasons for an expert in the real world to provide demonstrations that may contain incorrect or potentially unsafe way of doing a task. In order for IL-powered robots to work in the real world, IL frameworks need to detect such adversarial demonstrations and not learn from them. This paper proposes an IL framework that can autonomously detect and remove adversarial demonstrations, if they exist in the demonstration set, as it directly learns a task policy from the expert. The proposed framework that we term Robust Maximum Entropy behavior cloning (R-MaxEnt) learns a stochastic model that maps states to actions. In doing so, R-MaxEnt …
Research Authors
Mostafa Hussein, Brendan Crowe, Madison Clark-Turner, Paul Gesel, Marek Petrik, Momotaz Begum
Research Date
Research Department
Research Journal
2021 International Conference on Intelligent Robots and Systems (IROS)
Research Pages
7835-7841
Research Publisher
IEEE/RSJ
Research Website
https://ieeexplore.ieee.org/abstract/document/9636203/
Research Year
2021

Robust Maximum Entropy Behavior Cloning

Research Abstract
Imitation learning (IL) algorithms use expert demonstrations to learn a specific task. Most of the existing approaches assume that all expert demonstrations are reliable and trustworthy, but what if there exist some adversarial demonstrations among the given data-set? This may result in poor decision-making performance. We propose a novel general frame-work to directly generate a policy from demonstrations that autonomously detect the adversarial demonstrations and exclude them from the data set. At the same time, it's sample, time-efficient, and does not require a simulator. To model such adversarial demonstration we propose a min-max problem that leverages the entropy of the model to assign weights for each demonstration. This allows us to learn the behavior using only the correct demonstrations or a mixture of correct demonstrations.
Research Authors
Mostafa Hussein, Brendan Crowe, Marek Petrik, Momotaz Begum
Research Date
Research Department
Research Journal
arXiv preprint arXiv:2101.01251
Research Pages
arXiv preprint arXiv:2101.01251
Research Publisher
arXiv preprint arXiv:2101.01251
Research Website
https://arxiv.org/abs/2101.01251
Research Year
2021

Seismic Performance of Steel Beams to Diamond-Shaped Concrete-Filled Steel Tube Column Connections: Concept and Validation

Research Abstract

The brittle behavior traditional directly welded connections of steel beams to concrete-filled steel tube columns is caused primarily by excessive out-of-plane deformation of the tube walls at the level of the beam tension flange. To address this issue, this study proposes a reference connection that involves fillet welding a built-up steel beam directly to the corner of a diamond-shaped concrete-filled steel tube (DCFST) column. Two options are suggested for enhancing the seismic performance of the reference connection: a predrilled hole with a 12-mm diameter at the midwidth of each beam flange, or a rib stiffener reinforcement on the outside of each beam flange. The two proposed specimens and a traditional directly welded connection were subassembled and investigated experimentally. The results showed that the reference DCFST connection significantly improved the seismic response of the directly welded connection in terms of initial stiffness, strength, ductility, and energy-dissipating capacity. Specifically, the initial stiffness and strength capacity increased by over 150% compared with that of the traditional connection counterpart. Furthermore, the rib stiffeners contributed to further enhancement of the seismic response by shifting the beam plastic hinge away from the column face. Overall, these findings suggest that the use of DCFST connections is reliable for composite moment-resisting frames (C-MRFs), and the proposed enhancements can improve the seismic performance of these connections significantly.

Research Authors
25. Redhwan M.Algobahi, Mohamed F.M.Fahmy, Mohamed Abdel-Basset Abdo
Research Date
Research Department
Research Journal
Journal of Structural Engineering
Research Publisher
ASCE
Research Rank
Q1
Research Vol
Volume 149, Issue 12
Research Year
2023
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