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.

Wheel Slip Detection for Electric Drive in Planetary Exploration Vehicles

2020 ◽  
Vol 17 (9) ◽  
pp. 4122-4124
Author(s):  
Bishwajit Pal ◽  
Samitha Khaiyum
Keyword(s):  
Real Time ◽  
Electric Drive ◽  
Electric Motor ◽  
Control Algorithm ◽  
Planetary Exploration ◽  
Wheel Slip ◽  
Current Consumption ◽  
Dc Electric Motor ◽  
Slip Detection

This article illustrates a technique for tracking longitudinal wheel slips in real time using an embedded microcontroller to map current consumption against real-time current consumed by the engine. This system can be used and operated separately of each other on more than one wheel. To detect wheel slippage, a predefined slip curve mapped to a specific DC electric motor is mapped against the current consumed by the same operational motors. This paper also recommends a convenient control algorithm to calculate its slippage of the wheel in real time. This approach is implemented using distinct load and terrain on a planetary exploration robot.

scholarly journals Power Plant for a 0.6­0.8 Class Mobile Vehicle Based on the T­16 Self­Propelled Tractor Chassis

2021 ◽  
Vol 15 (2) ◽  
pp. 26-32
Author(s):  
V. A. Gusarov
Keyword(s):  
Diesel Engine ◽  
Power Plant ◽  
Gas Turbine ◽  
Electric Drive ◽  
Electric Motor ◽  
Gas Turbine Engine ◽  
Kinematic Scheme ◽  
Turbine Engine ◽  
Mobile Vehicle ◽  
Asynchronous Electric Motor

The authors showed the necessity to develop a rear-wheel drive hybrid mobile agricultural vehicle with electric drive and power plant. (Research purpose) To develop and study a new kinematic scheme of a mobile vehicle based on a self-propelled tractor T-16 chassis, which provides increased reliability, comfortable working conditions for the operator, a significant improvement in the environmental situation, and better economic efficiency. (Materials and methods) The authors listed the advantages of the new hybrid vehicle kinematic scheme. They gave the comparative technical characteristics of a diesel engine and an asynchronous electric motor. They developed a new methodology for calculating gas turbine engine technical parameters and described the production process of an electric drive with a capacity of 11 kilowatts to drive the driving wheels. The authors gave a thermal design of the compressor parameters, turbine. They calculated the excess air ratio. According to the parameters obtained, a K27-145 turbocharger was chosen, which simultaneously served as a turbine and a compressor of a gas turbine engine. A kinematic diagram was created with a gas turbine electric generator, storage batteries, an asynchronous frequency-controlled motor and a mechanical gearbox. (Results and discussion) The authors proposed to use a mobile vehicle as a mobile power plant: an output socket with a voltage of 220-230 volts operated from an inverter connected to batteries; the second socket – with a three-phase voltage of 400 volts – from the generator of the power gas turbine plant. (Conclusions) It was proved that the proposed hybrid mobile vehicle design on a battery and a gas turbine was capable of operating throughout the entire working day, and to provide 16 horsepower of a diesel engine, it was enough to install an asynchronous electric motor with a capacity of 7.5 kilowatts. The authors calculated the compressor performance of the gas turbine engine, which was 0.178 kilograms per second. The geometric parameters of the combustion chamber and the technical characteristics of the turbocharger were determined.

scholarly journals Solution of optimization problems of high-inertial asynchronous electric drive

2020 ◽  
Vol 216 ◽  
pp. 01156
Author(s):  
Murot Tulyaganov
Keyword(s):  
Energy Efficiency ◽  
Power Consumption ◽  
Electric Drive ◽  
Electric Motor ◽  
Optimization Problems ◽  
Reducing Power ◽  
Thermal Processes ◽  
Asynchronous Electric Drive ◽  
Start Up ◽  
Optimal Dynamic

The method of optimum start-up calculation on computer with use of the principle of a maximum and Newton-Rafson's method for the high-inertial asynchronous electric drive is offered. Based on this technique, optimal dynamic modes of high-inertia frequency-controlled asynchronous electric drive are calculated taking into account thermal processes. Methods of increasing electric motor energy efficiency due to reducing power consumption in dynamic modes are considered.

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.

Voluntary Control of Static Endpoint Stiffness During Force Regulation Tasks

2002 ◽  
Vol 87 (6) ◽  
pp. 2808-2816 ◽  
Author(s):  
Eric J. Perreault ◽  
Robert F. Kirsch ◽  
Patrick E. Crago
Keyword(s):  
Real Time ◽  
Parametric Identification ◽  
Identification Algorithm ◽  
Stochastic Perturbations ◽  
Postural Tasks ◽  
Elastic Forces ◽  
Force Direction ◽  
Position Data ◽  
The Relationship ◽  
Endpoint Stiffness

The goals of this study were to determine the degree to which subjects could voluntarily modulate static endpoint stiffness orientation and to quantify the effects of simultaneously generated voluntary endpoint forces on this ability. Static endpoint stiffness, which characterizes the relationship between externally imposed displacements of the hand and the elastic forces generated in response, was estimated in real time during the application of planar, stochastic perturbations of endpoint position. This estimation was accomplished using a real-time parametric identification algorithm on measured force and position data. Subjects were provided with real-time visual feedback of endpoint stiffness, and their ability to modulate the orientation of maximum static stiffness was measured for different endpoint force magnitudes and directions. We found that individuals can voluntarily change stiffness orientation but that the magnitude of these changes is small, the range of available stiffness orientations decreases as endpoint force exertion increases, and endpoint force direction significantly constrains direction and magnitude of the stiffness orientations that can be achieved. Given these findings it appears unlikely that static endpoint stiffness orientation is controlled independently of force by voluntary neural mechanisms during postural tasks.

DEVELOPMENT OF ASYNCHRONOUS ELECTRIC DRIVE WITH SCALAR CONTROL

2019 ◽  
Author(s):  
Igor' Polyuschenkov
Keyword(s):  
Control System ◽  
Electric Drive ◽  
Microprocessor Control ◽  
Programming Technique ◽  
Scalar Control ◽  
Model Based ◽  
Asynchronous Electric Drive ◽  
Microprocessor Control System ◽  
Software And Hardware ◽  
Technical Solutions

The materials on the development of asynchronous electric drive with scalar control are given. The technical solutions associated with the design of software and hardware parts of the microprocessor control system are described. When developed, tools of model-based programming technique are used.

scholarly journals Investigations, actions and learning from an outbreak of SARS-CoV-2 infection among healthcare workers in the United Kingdom

2020 ◽  
pp. 175717742097679
Author(s):  
Kordo Saeed ◽  
Emanuela Pelosi ◽  
Nitin Mahobia ◽  
Nicola White ◽  
Christopher Labdon ◽  
...  
Keyword(s):  
Real Time ◽  
Healthcare Workers ◽  
Healthcare Facility ◽  
Rt Pcr ◽  
Serum Samples ◽  
The United Kingdom ◽  
Key Issues ◽  
Current Infection ◽  
Polymerase Chain ◽  
A Current

Background: We report an outbreak of SARS coronavirus-2 (SARS-CoV-2) infection among healthcare workers (HCW) in an NHS elective healthcare facility. Methodology: A narrative chronological account of events after declaring an outbreak of SARS-CoV-2 among HCWs. As part of the investigations, HCWs were offered testing during the outbreak. These were: (1) screening by real-time reverse transcriptase polymerase chain reaction (RT- PCR) to detect a current infection; and (2) serum samples to determine seroprevalence. Results: Over 180 HCWs were tested by real-time RT-PCR for SARS-CoV-2 infection. The rate of infection was 15.2% (23.7% for clinical or directly patient-facing HCWs vs. 4.8% in non-clinical non-patient-facing HCWs). Of the infected HCWs, 57% were asymptomatic. Seroprevalence (SARS-CoV-2 IgG) among HCWs was 13%. It was challenging to establish an exact source for the outbreak. The importance of education, training, social distancing and infection prevention practices were emphasised. Additionally, avoidance of unnecessary transfer of patients and minimising cross-site working for staff and early escalation were highlighted. Establishing mass and regular screening for HCWs are also crucial to enabling the best care for patients while maintaining the wellbeing of staff. Conclusion: To our knowledge, this is the first UK outbreak report among HCWs and we hope to have highlighted some key issues and learnings that can be considered by other NHS staff and HCWs globally when dealing with such a task in future.

Real-Time Tem Studies of Electromigration in Submicron Aluminum Runners

1995 ◽  
Vol 391 ◽  
Author(s):  
S. P. Riege ◽  
A. W. Hunt ◽  
J. A. Prybyla
Keyword(s):  
Real Time ◽  
Joule Heating ◽  
Current Density ◽  
Constant Voltage ◽  
Sample Design ◽  
A Current

AbstractDirect real-time observations of electromigration (EM) in submicron Al interconnects were made using a special sample-stage which allowed TEM observations to be recorded while simultaneously heating and passing current through the sample. The samples consisted of 4000 Å thick Al(0.5wt%Cu) patterned over a TEM-transparent window into five runners in parallel, with linewidths 0.2, 0.3, 0.5, 0.8, and 1.0 μm. Both passivated and unpassivated samples were examined. A current density of 2 x 106A/cm2 was used with temperatures ranging from 200 - 350°C. The experiments were done using constant voltage testing, and we used a special sample design which dramatically minimized Joule-heating. Our approach has allowed us to directly observe voids form, grow, migrate, pin, fail a runner, and heal, all with respect to the detailed local microstructure of the runners.

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