scholarly journals SEARCH ALGORITHM FOR THE PARAMETRIC IDENTIFICATION OF THE ELECTRIC DRIVE OF THE MONITORING SYSTEM

2017 ◽  
pp. 39-46
Author(s):  
A. S. Abufanas ◽  
A. A. Lobaty ◽  
A. G. Shvedko
Keyword(s):  
Monitoring System ◽  
Electric Drive ◽  
Output Signal ◽  
Search Algorithm ◽  
Parametric Identification ◽  
Technical System ◽  
Gradient Algorithm ◽  
Identification Algorithm ◽  
Deterministic Function ◽  
The Right

The problem of parametric identification of a mathematical model of a technical system or a device is considered, which considers the electric drive of a monitoring system installed on an unmanned aerial vehicle. Identification of the parameters of elements of a complex technical system is an actual scientific task, since when developing a new technical system for its synthesis and research, it is necessary to have mathematical models of the elements of the system.It is proposed to solve the problem by applying the search gradient identification algorithm for a given objective residual function in the form of a difference in the output signal of the identified element of the system and its model. When solving the problem, the random character of the processes occurring in the system and at the output of the output signal meter is taken into account. The identification algorithm is developed on the basis of the representation of the model of parameters in the form of an ordinary vector-matrix equation, on the right side of which there is a model of the driving influence in the form of a given deterministic function of time. A general structural diagram of the parametric identification search system with a gradient algorithm is presented.As an example for evaluating the operability of the proposed algorithm, we consider the simplest model of an electric drive, given by a transfer function in the form of an inertial link. Qualitative illustrations of the operability of the proposed algorithm and quantitative characteristics of the signal and parameter changes of the identified object are presented.

scholarly journals Parametric identification algorithm for asynchronous electric motor inverter on the switching intervals of power transistors

2019 ◽  
Vol 124 ◽  
pp. 02017
Author(s):  
A. Andreev ◽  
M. Andreev ◽  
D. Kolesnihenko ◽  
R.R. Dyganova ◽  
G.T. Merzadinova ◽  
...  
Keyword(s):  
Real Time ◽  
Electric Drive ◽  
Electric Motor ◽  
Parametric Identification ◽  
Identification Algorithm ◽  
Power Transistors ◽  
Asynchronous Electric Drive ◽  
Subsequent Calculation ◽  
Asynchronous Electric Motor ◽  
A Current

The authors propose an algorithm for identifying the parameters of a controlled asynchronous electric drive in real time, which provides calculation of stator and rotor resistances which change as a function of temperature. The algorithm is based on the analysis of a current tube of electric motor phase with the subsequent calculation of resistances.

Manipulator system designs for drawing random objects through point cloud posture estimation

2021 ◽  
pp. 095440542097946
Author(s):  
Ching-Chang Wong ◽  
Hsuan Ming Feng ◽  
Yu-Cheng Lai ◽  
Hsiang-Yun Chen
Keyword(s):  
Point Cloud ◽  
Null Space ◽  
Robot Manipulator ◽  
Search Algorithm ◽  
Movement Control ◽  
Control Policy ◽  
Device Management ◽  
Redundant Robot ◽  
Better Regulation ◽  
The Right

This paper designed a 7-DOF redundant robot manipulator that can flexibly and efficiently pick-up random objects. The developed 7-DOF machine with an additional redundancy achieved great progress in terms of flexibility and efficiency in the operational space. A robot operating system (ROS) was used to configure the manipulator system’s software modules, supporting convenient system interface, appropriate movement control policy, and powerful hardware device management for better regulation of the manipulator’s motions. A 3D type Point Cloud Library (PCL) was utilized to perform a novel point cloud image pre-processing method that did not only reduce the point cloud number but also maintained the original quality. The results of the experiment showed that the estimation speed in object detection and recognition procedure improved significantly. The redundant robot manipulator architecture with the two-stage search algorithm was able to find the optimal null space. Suitable parameters in D-H transformation of forward kinematics were selected to efficiently control and position the manipulator in the right posture. Meanwhile, the reverse kinematics estimated all angles of the joints through the known manipulator position, orientation, and redundancy. Finally, motion panning implementation of manipulator rapidly and successfully reached the random object position and automatically drew it up to approximate the desired target.

An improved nonlinear innovation-based parameter identification algorithm for ship models

2021 ◽  
pp. 1-9
Author(s):  
Baigang Zhao ◽  
Xianku Zhang
Keyword(s):  
Parameter Identification ◽  
Test Data ◽  
Stochastic Gradient ◽  
Least Square ◽  
Gradient Algorithm ◽  
Model Parameters ◽  
Identification Algorithm ◽  
Process Innovations ◽  
Stochastic Gradient Algorithm ◽  
Tangent Function

Abstract To solve the problem of identifying ship model parameters quickly and accurately with the least test data, this paper proposes a nonlinear innovation parameter identification algorithm for ship models. This is based on a nonlinear arc tangent function that can process innovations on the basis of an original stochastic gradient algorithm. A simulation was carried out on the ship Yu Peng using 26 sets of test data to compare the parameter identification capability of a least square algorithm, the original stochastic gradient algorithm and the improved stochastic gradient algorithm. The results indicate that the improved algorithm enhances the accuracy of the parameter identification by about 12% when compared with the least squares algorithm. The effectiveness of the algorithm was further verified by a simulation of the ship Yu Kun. The results confirm the algorithm's capacity to rapidly produce highly accurate parameter identification on the basis of relatively small datasets. The approach can be extended to other parameter identification systems where only a small amount of test data is available.

scholarly journals Monitoring System of The Temperature for Mini Fish Storage using Internet of Things

2021 ◽  
Vol 324 ◽  
pp. 01011
Author(s):  
Eko Prayetno ◽  
Tonny Suhendra ◽  
Jeremya Lukmanto Saputra
Keyword(s):  
Internet Of Things ◽  
Human Brain ◽  
Monitoring System ◽  
Room Temperature ◽  
High Protein ◽  
Test Results ◽  
Error Level ◽  
The Right ◽  
Monitoring Temperature

Fish is one of the high-protein foods that are very helpful for the development of the human brain. Then, it is necessary to maintain the freshness of the fish for consumption. At this time, fishers and fishmongers preserve the freshness of fish by using Ice in the fish storage. However, it is considered ineffective due to improper ice change time. Therefore, monitoring temperature is very important and helpful to find the right time when replacing the Ice used to ensure the quality of fish. The development of this device uses Arduino ESP32, DHT21 Sensor, Micro SD Module, Internet of Things system, monitoring using Blynk Application and notifications using Telegram App. DHT21 sensor test results obtained a data conformity level (Error Level) of 2%. At the fish storage room temperature, there is the lowest temperature of 10.50 oC and ice temperature conditions in the storage of 0 oC. Therefore, the best state to keep fish fresh that researchers want is 0 oC to 2 oC at ice temperatures or 11.50 oC obtained in testing the time it takes to replace Ice by about 10 hours.

scholarly journals REFORMS IN THE COMMUNICATIONS MONITORING SYSTEM AS A PRECONDITION FOR EFFECTIVE HUMAN RIGHTS PROTECTION

2019 ◽  
Vol 31 (5) ◽  
pp. 1509-1514
Author(s):  
Biljana Karovska-Andonovska ◽  
Zoran Jovanovski
Keyword(s):  
Monitoring System ◽  
A Priori ◽  
Personal Data ◽  
The Other ◽  
Right To Privacy ◽  
Human Rights Protection ◽  
Personal Data Protection ◽  
The Right To Privacy ◽  
The Right ◽  
And Control

The reforms in the communications monitoring system as part of the wider reform of the security services in the Republic of Macedonia, resulted with creation of a package of several laws whose adoption was supposed to provide the legislative basis for a system that would really work in accordance with the goals for which it was established. The communications monitoring system should provide a balanced protection of the right to security, on the one hand, and the right to privacy, on the other. Only on that way a priori primacy of the right to security over the right to privacy will it be disabled. Hence, the reforms in communications monitoring system are a precondition for the effective protection, primarily for the right to privacy and the secrecy of communications, but also for the right to personal data protection, the inviolability of the home as well as for the right to presumption of innocence. It is a complex and delicate matter where opening of a real debate through which the present deficiencies will be perceived in order to create an appropriate legal solutions was very important. However, the new Law on Interception of Communications as the most important in this area, retained a certain part of the provisions that were debatable in the previous legal solutions. The provisions regarding the model for interception of communications, which stipulates the establishment of a separate agency that mediates between the operators and the authorized bodies for interception of communications, were questionable as well. Also, new measures for monitoring communications in the interest of security and defense, as well as the provisions which regulate the disposition and delivery of metadata for security and defense, are also debatable. On the other side, the reform laws made an evident progress in a positive sense through the provisions for oversight and control over the interception of communications. With these changes, certain debatable elements have been overcome, especially those that have hindered it so far, and in some cases completely paralyzed the oversight and control over the monitoring of communications. In this paper we analyzed the debatable elements in the reform package of laws on interception of communications as well as some positive aspects contained in the provisions of the reform laws.

scholarly journals A Relevant Customer Identification Algorithm Based on the Internet Financial Platform

2021 ◽  
Vol 2021 ◽  
pp. 1-9
Author(s):  
Guo Yangyudongnanxin
Keyword(s):  
Social Relationship ◽  
Search Algorithm ◽  
Classification Model ◽  
The Internet ◽  
Identification Algorithm ◽  
Association Model ◽  
Intelligent Search ◽  
Average Sampling ◽  
Customer Classification ◽  
Customer Identification

In order to improve the intelligent search capabilities of Internet financial customers, this paper proposes a search algorithm for Internet financial data. The proposed algorithm calculates the customers corresponding to the two selected financial platforms based on the candidate customer set selected from the seed dataset and combined with the restored social relationship. Moreover, it also calculates the similarity of each field between the pairs. Furthermore, this article proposes an entity customer classification model based on logistic regression. Through the SNC model, threshold propagation, and random propagation, the model is transformed into an algorithm that identifies the associated customers, eliminates redundant customers, and realizes associated user identification. Experimental results verify that pruning increases the accuracy of identifying related customers by 8.44%. The average sampling accuracy of the entire customer association model is 79%, the lowest accuracy is 40%, and the highest is 1. From the sampling results, the overall recognition effect of the model reaches the expected goal.

Optimal Design of Microseismic Monitoring Networking and Error Analysis of Seismic Source Location for Rock Slope

2010 ◽  
Vol 163-167 ◽  
pp. 2991-2999 ◽  
Author(s):  
Nu Wen Xu ◽  
Chu Nan Tang ◽  
Si Hao Wu ◽  
Gui Lin Li ◽  
Ju Ying Yang
Keyword(s):  
Optimal Design ◽  
Monitoring System ◽  
Sensor Array ◽  
Rock Slope ◽  
Monitoring Network ◽  
Source Location ◽  
Rock Fracturing ◽  
Positioning Accuracy ◽  
Microseismic Events ◽  
The Right

For the purpose of getting a better understanding of failure mechanisms of rock fracturing due to construction perturbation inside the right rock slope of Dagangshan Hydropower Staion, a high precision microseimic monitoring system was installed and preliminary source location data have been investigated. The optimal design of microseimic monitoring network, especially the sensor array was investigated based on P method and Powell algorithm. The positioning accuracy of the system has been adjusted according to artificial fixed blasting tests. The testing results show that microseismic source location error is less than 10 m in the scope of the sensor array, which demonstrates the monitoring system deployed at the right slope has a high positioning accuracy. Signals from 112 microseismic events with moment magnitude ranging from -1.8 to -0.4 were recorded during its 2-month monitoring period. The cluster distribution of microseismic events can reflect directly the construction progresses such as the concentration of microseismicity inside the drainage tunnel at 1081 m level. The present study have significantly improved the understanding of the characteristics of the failure associated with excavation inside the rock slope, and will greatly benefit the potential sliding areas prediction and support of hazards in the phase of construction in future.

A Modified Binary Crow Search Algorithm for Solving the Graph Coloring Problem

2020 ◽  
Vol 11 (2) ◽  
pp. 28-46 ◽  
Author(s):  
Yassine Meraihi ◽  
Mohammed Mahseur ◽  
Dalila Acheli
Keyword(s):  
Graph Coloring ◽  
Optimization Problem ◽  
Heuristic Algorithms ◽  
Search Algorithm ◽  
Distribution Method ◽  
Local Optima ◽  
Coloring Problem ◽  
Graph Coloring Problem ◽  
Np Hard Problem ◽  
The Right

The graph coloring problem (GCP) is a well-known classical combinatorial optimization problem in graph theory. It is known to be an NP-Hard problem, so many heuristic algorithms have been employed to solve this problem. This article proposes a modified binary crow search algorithm (MBCSA) to solve the graph coloring problem. First, the binary crow search algorithm is obtained from the original crow search algorithm using the V-shaped transfer function and the discretization method. Second, we use chaotic maps to choose the right values of the flight length (FL) and the awareness probability (AP). Third, we adopt the Gaussian distribution method to replace the random variables used for updating the position of the crows. The aim of these contributions is to avoid the premature convergence to local optima and ensure the diversity of the solutions. To evaluate the performance of our algorithm, we use the well-known DIMACS benchmark graph coloring instances. The simulation results reveal the efficiency of our proposed algorithm in comparison with other existing algorithms in the literature.

Design and Experimental Investigations of a Vibration Based Wireless Measurement System for Bridge Cable Tension Monitoring

2014 ◽  
Vol 17 (11) ◽  
pp. 1657-1668 ◽  
Author(s):  
Yan Yu ◽  
Chunwei Zhang ◽  
Xinqun Zhu ◽  
Won Hee Kang ◽  
Xingquan Mao ◽  
...  
Keyword(s):  
Monitoring System ◽  
Measurement System ◽  
Vibration Frequency ◽  
Identification Algorithm ◽  
Frequency Method ◽  
Cable Tension ◽  
Wireless Monitoring ◽  
Cable Stayed Bridge ◽  
Wireless Measurement ◽  
Bridge Cable

Cables are important components of a cable-stayed bridge, and the cable tension is a crucial factor in determining the overall condition assessment of a cable-stayed bridge structure. Based on the vibration frequency method, a wireless monitoring system for bridge cable tension force monitoring has been investigated and experimentally validated through laboratory and field tests in this paper. The vibration frequency-based method for cable tension measurement, the design method of the wireless measurement system with embedded identification algorithm, the test procedures, and relevant results are discussed, respectively. The developed wireless monitoring system is verified by a bridge model test in the laboratory and full-scale bridge tests in the field. Field experimental results show that the relative error between this wireless monitoring system and the reference wired system values is within 0.5%. Therefore, the developed wireless measurement system can provide an estimation of cable tension with sufficient accuracy. Moreover, the developed system is highly integrated and convenient in terms of installation and dismantling, and it has potential applicability prospects in emergency for the quick detection of cable tension.

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