scholarly journals A Method for Calculating Dynamic Parameters of Intersatellite Link Signals

2021 ◽  
Vol 2093 (1) ◽  
pp. 012028
Author(s):  
Jiawen Yao ◽  
Shan Li ◽  
Xiaotong Gu ◽  
Yanhao Yin ◽  
Geng Chen ◽  
...  

Abstract Aiming at the complex dynamic changes of inter-satellite link signals, this paper proposes a low-complexity method to calculate dynamic parameters of inter-satellite link signals so as to simulate inter-satellite link signals with complex dynamic characteristics. Based on the precise ephemeris, the algorithm is used to calculate the transmission delay and Doppler frequency of the signals in an inertial frame of reference by using iteration and interpolation. The calculation result is compared with the result obtained by using the simulation software of the global navigation system. It is found that the error of the transmission delay is at the nanosecond level and the error of Doppler frequency is at the Hertzian level. Therefore, the dynamic signal simulation accuracy can meet the requirements of load testing and verification of inter-satellite links. The algorithm is simple to implement.

2018 ◽  
Vol 12 (9) ◽  
pp. 1058-1065 ◽  
Author(s):  
Jiaxun Tu ◽  
Xingqun Zhan ◽  
Xin Zhang ◽  
Zhenjun Zhang ◽  
Shuai Jing

2012 ◽  
Vol 630 ◽  
pp. 473-478 ◽  
Author(s):  
Fei Wan ◽  
Guo Xi Li ◽  
Jing Zhong Gong ◽  
Bao Zhong Wu

To change the status of time-consuming and over-reliance on technicians in mechanical system alignment process, the ACP technology is presented. The mapping between alignment process parameters and dynamic parameters was established through contact theory to build the agent model for parts. While the second mapping between dynamic parameters and machine dynamic characteristics is calculated by dynamic simulation software to conduct computational experiments. Experimental data is analyzed in order to implement data mine, optimize the alignment process, guide technician alignment, modify the theory mapping and improve the alignment efficiency.


Process Industrial & their complex control operations require comprehensive simulation software systems for modeling plant dynamics and analyzing gaps and to achieve optimal control efficiency. These models support in training plant engineers on various process scenarios in controlled pseudo real time environment. Higher degree of model designing customization, flexibility, scalability, cost efficiency and domain agnostic solution features, are the desired characteristics of any process simulation framework. This paper formulates prototype design of an integrated generic process simulator platform and its components, enabling intuitive and interactive representation of intelligent model formats, facts, knowledge, rules & behaviors. The benefits range from safer process training, analysis / synthesis of controller models; control optimization and theoretical learning. The simulation performance of proposed framework is verified through material fineness control modeling of rotary vertical grinding mill. The adaptive leaning features, with hybrid prediction model validations results in the simulation accuracy and results are compared with prevalent systems.


2014 ◽  
Vol 12 ◽  
pp. 35-41 ◽  
Author(s):  
T. J. Wächter ◽  
U. Siart ◽  
T. F. Eibert ◽  
S. Bonerz

Abstract. Machine damage due to tool collisions is a widespread issue in milling production. These collisions are typically caused by human errors. A solution for this problem is proposed based on a low-complexity 24 GHz continuous wave (CW) radar system. The developed monitoring system is able to detect moving objects by evaluating the Doppler shift. It combines incoherent information from several spatially distributed Doppler sensors and estimates the distance between an object and the sensors. The specially designed compact prototype contains up to five radar sensor modules and amplifiers yet fits into the limited available space. In this first approach we concentrate on the Doppler-based positioning of a single moving target. The recorded signals are preprocessed in order to remove noise and interference from the machinery hall. We conducted and processed system measurements with this prototype. The Doppler frequency estimation and the object position obtained after signal conditioning and processing with the developed algorithm were in good agreement with the reference coordinates provided by the machine's control unit.


2019 ◽  
Vol 2019 ◽  
pp. 1-10
Author(s):  
Yuchen Xie ◽  
Zhengrong Li ◽  
Feiqiang Chen ◽  
Huaming Chen ◽  
Feixue Wang

The antenna array technology, especially the spaced-time array processing (STAP), is one of the effective methods used in Global Navigation Satellite System (GNSS) receivers to refrain the power of jamming and enhance the performance of receivers in the circumstance of interference. However, biases induced to the receiver because of many reasons, including characteristic of antennas, front-end channel electronics, and space-time filtering, are extremely harmful to the high precise positioning of receivers. Although plenty of works have been done to calibrate the antenna and to mitigate these biases, achieving a good performance of antijamming, high accuracy, and low complexity at the same time still remains challenging. Different from existing works, this paper leverages the characteristic of GNSS signal’s Doppler frequency in STAP, which is proven to remain unbiased to solve the problem, even when the nonideal antennas are used and the interference circumstance changes. Since the integration of frequency is carrier phase, the unbiased Doppler frequency leads to an accurate estimation of carrier phase which can be used to calibrate the antenna array without extra apparatus or complicating algorithms. Therefore, a simple Doppler-aid strategy may be developed in the future to solve the difficulty of STAP bias mitigation.


Sensors ◽  
2019 ◽  
Vol 20 (1) ◽  
pp. 51 ◽  
Author(s):  
Bong-seok Kim ◽  
Sangdong Kim ◽  
Youngseok Jin ◽  
Jonghun Lee

A low-complexity joint range and Doppler frequency-modulated continuous wave (FMCW) radar algorithm based on the number of targets is proposed in this paper. This paper introduces two low-complexity FMCW radar algorithms, that is, region of interest (ROI)-based and partial discrete Fourier transform (DFT)-based algorithms. We find the low-complexity condition of each algorithm by analyzing the complexity of these algorithms. From this analysis, it is found that the number of targets is an important factor in determining complexity. Based on this result, the proposed algorithm selects a low-complexity algorithm between two algorithms depending the estimated number of targets and thus achieves lower complexity compared two low-complexity algorithms introduced. The experimental results using real FMCW radar systems show that the proposed algorithm works well in a real environment. Moreover, central process unit time and count of float pointing are shown as a measure of complexity.


Author(s):  
A. Nazifah Abdullah ◽  
M. Asri Jusoh ◽  
Norkharziana Mohd Nayan ◽  
M. Syahril ◽  
N. Nadiah Ayop

This paper presents design and analysis of Multi-output Portable Universal Power Supply Kit (EPS Kit). This EPS Kit is intended as an alternative power supply kit to reduce the issue of a power outage. Lead Acid Battery which is considered one of the easiest sources that can be found during an emergency state is the best alternative energy source. The EPS Kit is designed to store the power in Lead Acid Battery as the main source and powered by the solar energy as the secondary source and will be providing both standard household alternating current (AC) and most common direct current (DC) power. This Kit is a stand-alone system comes with plug-and-use kit in which the system can be recharged using solar and AC power. The plug-and-use kit is equipped with intelligent multi-USB ports, adjustable dual mode NiCd, Ni-Mh, and Li-Ion battery which are Discharge/Charger mode, AC output port, LED lamp, and emergency electrical accessories. EPS Kit is also portable which installed with wheel and handle for mobility application. Production of EPS Kit is involved software and hardware. The software used are 3D CAD design software and circuit simulation software respectively for preliminary 3D drawing design and output circuit validation. Experimental results of the EPS Kit load testing, charging and discharging state are conducted in order to demonstrate the EPS Kit functionality and usage.


2021 ◽  
Author(s):  
Haobo Zhou ◽  
Guo Wang ◽  
Jinge Liu ◽  
Lianzhong Sun ◽  
Hongning Zhang

Abstract Tremendous amounts of oil and gas reservoir are located in ultra-deep formations, such as Shunnan block in Tarim basin of China, some reservoirs buried deeper than 8000m and which are major exploration areas of SINOPEC. The formation geological conditions are complicated, multiple pressure systems co-exist in the same borehole, narrow pressure-margin problems, all above may cause down-hole troublesome conditions while cementing, such as leaking, fracturing formations and so on. And the managed pressure cementing (MPC) was selected for solving the above problems. But the key for a successful MPC depend on accurate, real-time knowledge of dynamic parameters calculation. Therefore, a real time dynamic parameters calculation for MPC is very important. Firstly, a comprehensive real-time hydraulic calculation method for cementing replacement process was established, in which the difference of density, rheological properties, location and length of different fluids were taken into account. In order to improve the calculation precision, the flow channel both in pipe and annuli was divided into several sections, through which the different diameters of the channels were considered. Secondly, according to the density contrast of operating fluids, a vacuum (U-Tube effect) will appear at the inlet in the cementing replacement process, an integrated U-Tube effect analytical model was established based on the Euler equation, in which the influence of well deviation was taken into account too, and though which the height and volume of vacuum, the down-hole operating fluids acceleration, the out flow rate variation et al. all can be accurately calculated and simulated. Moreover, a series of system calculation software were developed to predict cementing fluids position, fluids acceleration, flow pressure drop, BHP, expected WHP and the related control parameters for MPC. The proposed model has been applied in HPHT ultra-deep well MPC operation of SINOPEC Northwest oil filed in Traim basin, there is an excellent match between the calculated and measured data. Furthermore, this simulation software has been used for designing the MPC parameters, and it runs smoothly with convenient operation. Therefore it can be seen this system can be applied to provide more convenient fast and precise dynamic parameters monitoring for MPC. This study proposed a novel model of Cementing dynamic parameters calculating and developed a comprehensive real-time monitoring system for MPC. Through the application of the monitoring, we can adjust the cementing parameters in real time while MPC, and this real-time monitoring has been applied in several wells very well. Therefore, this study is novel and can afford an effective approach to improve cement quality.


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