scholarly journals Solar Module Integrated Converters as Power Generator in Small Spacecrafts: Design and Verification Approach

Aerospace ◽  
2019 ◽  
Vol 6 (5) ◽  
pp. 61 ◽  
Author(s):  
Jesus Gonzalez-Llorente ◽  
Aleksander A. Lidtke ◽  
Ken Hatanaka ◽  
Ryo Kawauchi ◽  
Kei-Ichi Okuyama
Keyword(s):  
Failure Rate ◽  
Rapid Development ◽  
Electrical Power ◽  
Solar Array ◽  
Electrical Power System ◽  
Solar Module ◽  
Small Satellites ◽  
Frequent Failure ◽  
Verification Process ◽  
The Cost

As small satellites are becoming more widespread for new businesses and applications, the development time, failure rate and cost of the spacecraft must be reduced. One of the systems with the highest cost and the most frequent failure in the satellite is the Electrical Power System (EPS). One approach to achieve rapid development times while reducing the cost and failure rate is using scalable modules. We propose a solar module integrated converter (SMIC) and its verification process as a key component for power generation in EPS. SMIC integrates the solar array, its regulators and the telemetry acquisition unit. This paper details the design and verification process of the SMIC and presents the in-orbit results of 12 SMICs used in Ten-Koh satellite, which was developed in less than 1.5 years. The in-orbit data received since the launch reveal that solar module withstands not only the launching environment of H-IIA rocket but also more than 1500 orbits in LEO. The modular approach allowed the design, implementation and qualification of only one module, followed by manufacturing and integration of 12 subsequent flight units. The approach with the solar module can be followed in other components of the EPS such as battery and power regulators.

scholarly journals Superresolution Reconstruction of Electrical Equipment Incipient Fault

2018 ◽  
Vol 2018 ◽  
pp. 1-11 ◽  
Author(s):  
Manran Wang ◽  
Li Guo ◽  
Jinhao Chen ◽  
Bingqi Lv ◽  
Yang Yang
Keyword(s):  
Power System ◽  
Rapid Development ◽  
Electrical Power ◽  
Electrical Equipment ◽  
Reconstruction Method ◽  
Industrial Accidents ◽  
Electrical Power System ◽  
Incipient Faults ◽  
Electrical Shocks ◽  
Incipient Fault

With the rapid development of industry and technology, the electrical power system becomes more complex and the electrical equipment becomes more diverse. Defective equipment is often the cause of industrial accidents and electrical injuries, which can result in serious injuries, such as electrocution, burns, and electrical shocks. In some cases, electrical equipment fault may result in death. However, in some special situation, some fault is very small even invisible, such as equipment aging, holes, and cracks, so the detection of these incipient faults is difficult or even impossible. These potential incipient faults become the biggest hidden danger in the electrical equipment and electricity power system. For these reasons, this paper proposes a superresolution reconstruction method for electrical equipment incipient fault to ensure complete detection in electrical equipment, which aims to guarantee the security of electrical power system operation and industry production. Experimental results show that this method can get a state-of-the-art reconstruction effect of incipient fault, so as to provide reliable fault detection of electrical power system.

The Early Design Reliability Prediction Method

2012 ◽  
Author(s):  
Bryan M. O’Halloran ◽  
Chris Hoyle ◽  
Robert B. Stone ◽  
Irem Y. Tumer
Keyword(s):  
Failure Rate ◽  
Electrical Power ◽  
Prediction Method ◽  
Reliability Prediction ◽  
Electrical Power System ◽  
Early Design ◽  
Design Reliability ◽  
Design Alternative ◽  
Final Design

The purpose of this paper is to formalize the Early Design Reliability Prediction Method (EDRPM) into a comprehensive framework, then to provide a case study using an Electrical Power System (EPS) which shows the usefulness of the methods. EDRPM has been developed to facilitate decision making in early design using quantitative reliability results [1]. Candidate components and design alternative are eliminated using justification provided by EDRPM. The output of this method is a set of design alternative that have a reliability values at or greater than a preset reliability goal. At the completion of applying EDRPM, additional metrics can be used to determine a final design. This research addresses the need for reliability methods to be moved earlier in the design process. Current methods are applicable after components have been selected. EDRPM is used during functional design, and when concepts are generated. This method also calculates functional failure rates which are applied to generate the function and component distributions. The results of the case study shows that several candidate components and design alternatives can be eliminated using EDRPM. It is demonstrated that only a subset of designs that meet the failure rate piece of the reliability goal should not be eliminated. The reliability goal is the combination of two parts; the failure rate and the probability of not exceeding the failure rate. Several of these design still have a probability of exceeding the second piece of the reliability goal given that they meet the first.

Fuzzy Logic Based Electrical Power System for Pico Satellite ERPSat-1

2014 ◽  
Vol 875-877 ◽  
pp. 1822-1826 ◽  
Author(s):  
Bilel Neji ◽  
Chafaa Hamrouni ◽  
Adel M. Alimi ◽  
Hiroshi Nakajima
Keyword(s):  
Fuzzy Logic ◽  
Power Systems ◽  
Power System ◽  
Electrical Power ◽  
Low Earth Orbit ◽  
Electrical Power System ◽  
Electrical Power Systems ◽  
Small Satellites ◽  
Efficient Energy ◽  
Intelligent Machines

Despite the recent advances in space technologies, electrical power systems still are challenging researchers developing small satellites for low earth orbit use. In order to supply their subsystems, these satellites can only use the power stored on board from solar energy. Therefore, the electrical power system should ensure a maximum exploitation of energy sources and optimize the distribution of the available electrical power. In this context, Research Group of Intelligent Machines Laboratory in Tunisia developed a new intelligent electrical power subsystem to be used for pico satellites. This subsystem is based on fuzzy logic allowing a faster energy storage and better and efficient energy distribution. The intelligent electrical power subsystem was successfully integrated in ERPSat-1 pico satellite. In addition, the simulation has shown better results compared to other used methods in the previous electrical power systems used for small satellites.

scholarly journals Single-Bus and Dual-Bus Architectures of Electrical Power Systems for Small Spacecraft

2019 ◽  
Author(s):  
Jesus Gonzalez-Llorente Gonzalez-Llorente ◽  
Aleksander Andrzej Lidtke ◽  
Ronald Hurtado ◽  
Kei-Ichi Okuyama
Keyword(s):  
Power Systems ◽  
Power System ◽  
Failure Rate ◽  
Electrical Power ◽  
Space Probe ◽  
Deep Space ◽  
Electrical Power System ◽  
Electrical Power Systems ◽  
Complexity Increase ◽  
Orbit Data

Nowadays, it has become possible for universities and new businesses to launch satellites of reduced size and cost fulfilling viable missions. Nevertheless, there is still a considerable failure rate that reduces the expected lifetime of these spacecraft. One of the main causes of failure is the power system. Redundancy is one of the main options to enhance its lifetime and lower the failure rate. However, cost, mass, and complexity increase due to redundancy, making it more difficult to complete the projects. Thus, it is necessary to enhance the lifetime of power systems while keeping the development process simple and fast. This paper proposes two configurations of an electrical power system with duplicate components: single-bus configuration has been designed for a nanosatellite not yet launched and dual-bus configuration for a micro deep-space probe launched into a heliocentric orbit. The design and implementation of two dual electrical power systems are described; measurements and on-orbit data of the electrical power system of the micro deep-space probe are also presented, demonstrating that the dual-bus electrical power system can be successfully used in spacecraft. Lastly, conclusions regarding the redundancy considerations for small satellite electrical power systems are drawn based on these two examples.

Gradient Ascent Optimization for Fault Detection in Electrical Power System Based on Wavelet Transformation

2019 ◽  
Vol 14 ◽  
Author(s):  
Iyappan Murugesan ◽  
Karpagam Sathish
Keyword(s):  
Feature Extraction ◽  
Fault Detection ◽  
Power System ◽  
Electrical Power ◽  
Daubechies Wavelet ◽  
Electrical Power System ◽  
Gradient Ascent ◽  
Neural Learning ◽  
Weight Value ◽  
Transmission And Distribution

: This paper presents electrical power system comprises many complex and interrelating elements that are susceptible to the disturbance or electrical fault. The faults in electrical power system transmission line (TL) are detected and classified. But, the existing techniques like artificial neural network (ANN) failed to improve the Fault Detection (FD) performance during transmission and distribution. In order to reduce the power loss rate (PLR), Daubechies Wavelet Transform based Gradient Ascent Deep Neural Learning (DWT-GADNL) Technique is introduced for FDin electrical power sub-station. DWT-GADNL Technique comprises three step, normalization, feature extraction and FD through optimization. Initially sample power TL signal is taken. After that in first step, min-max normalization process is carried out to estimate the various rated values of transmission lines. Then in second step, Daubechies Wavelet Transform (DWT) is employed for decomposition of normalized TLsignal to different components for feature extraction with higher accuracy. Finally in third step, Gradient Ascent Deep Neural Learning is an optimization process for detecting the local maximum (i.e., fault) from the extracted values with help of error function and weight value. When maximum error with low weight value is identified, the fault is detected with lesser time consumption. DWT-GADNL Technique is measured with PLR, feature extraction accuracy (FEA), and fault detection time (FDT). The simulation result shows that DWT-GADNL Technique is able to improve the performance of FEA and reduces FDT and PLR during the transmission and distribution when compared to state-of-the-art works.

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