Научная статья на тему 'Determination of railway rolling stock optimal movement modes'

Determination of railway rolling stock optimal movement modes Текст научной статьи по специальности «Электротехника, электронная техника, информационные технологии»

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Ключевые слова
ELECTROMOTIVE RAILWAY ROLLING STOCK / GENETIC ALGORITHM / COOLING SYSTEM / TRACTION MOTOR / TRAMCAR / CONTROL LAWS / OPTIMIZATION PROBLEM / EFFICIENCY / ЭЛЕКТРОПОДВИЖНОЙ СОСТАВ / ГЕНЕТИЧЕСКИЙ АЛГОРИТМ / СИСТЕМА ОХЛАЖДЕНИЯ / ТЯГОВЫЙ ДВИГАТЕЛЬ / ВАГОН ТРАМВАЯ / ЗАКОНЫ УПРАВЛЕНИЯ / ПРОБЛЕМА ОПТИМИЗАЦИИ / КОЭФФИЦИЕНТ ПОЛЕЗНОГО ДЕЙСТВИЯ

Аннотация научной статьи по электротехнике, электронной технике, информационным технологиям, автор научной работы — Petrenko O., Liubarskiy B., Pliugin V.

Разработана методика моделирования движения асинхронного тягового двигателя при движении электроподвижного состава по энергооптимальным режимам на участке пути с заданным профилем и установленным графиком движения. Определены оптимальные режимы движения электроподвижного состава на основе метода Гамильтона-Якоби-Беллмана. Определение режимов работы тягового привода предложено проводить заранее на основании решения задачи условной оптимизации его режимов. Определение оптимальных режимов работы тягового привода было проведено на основе комбинированных методов условной минимизации функции. Использование предлагаемой методики позволяет повысить общий КПД электроподвижного состава.

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DETERMINATION OF RAILWAY ROLLING STOCK OPTIMAL MOVEMENT MODES

Purpose. To develop a methodology for simulating of an electromotive railway rolling stock in terms of power-optimal modes on a track with a given profile and a set motion graph. Methodology. We have used combined genetic algorithm to determine optimum modes of an electromotive railway rolling stock motion: a global search is performed by a genetic algorithm with a one-point crossover and roulette selection. At the final stage of the optimization procedure we have used Nelder-Mead method for the refinement of the optimum. Results. We have obtained that traction motor on a tramcar, while driving on a fixed site, has an excessive power of the cooling system. Its using only in the considered area allows to modernize the cooling system in the way of its power reducing, which in turn provides an opportunity to increase the overall efficiency of the electromotive railway rolling stock. Originality. For the first time, we have obtained the train motion equation in the program-oriented form. This allows to use it for determination of electromotive railway rolling stock optimal control laws according to the Hamilton-Jacobi-Bellman method. Practical value. We have made the computer program to determine optimum modes of an electromotive railway rolling stock motion. The experimental studies of program results for the track section have confirmed the adequacy of the model, which allows to solve the traffic modes optimization problem for the tram track sections and increase the overall efficiency of the electromotive railway rolling stock.

Текст научной работы на тему «Determination of railway rolling stock optimal movement modes»

Електротехнiчнi комплекси та системи. Силова електронка

UDC 629.429.3:621.313 doi: 10.20998/2074-272X.2017.6.04

O. Petrenko, B. Liubarskiy, V. Pliugin

DETERMINATION OF RAILWAY ROLLING STOCK OPTIMAL MOVEMENT MODES

Purpose. To develop a methodology for simulating of an electromotive railway rolling stock in terms ofpower-optimal modes on a track with a given profile and a set motion graph. Methodology. We have used combined genetic algorithm to determine optimum modes of an electromotive railway rolling stock motion: a global search is performed by a genetic algorithm with a one-point crossover and roulette selection. At the final stage of the optimization procedure we have used Nelder-Mead method for the refinement of the optimum. Results. We have obtained that traction motor on a tramcar, while driving on a fixed site, has an excessive power of the cooling system. Its using only in the considered area allows to modernize the cooling system in the way of its power reducing, which in turn provides an opportunity to increase the overall efficiency of the electromotive railway rolling stock. Originality. For the first time, we have obtained the train motion equation in the program-oriented form. This allows to use it for determination of electromotive railway rolling stock optimal control laws according to the Hamilton-Jacobi-Bellman method. Practical value. We have made the computer program to determine optimum modes of an electromotive railway rolling stock motion. The experimental studies of program results for the track section have confirmed the adequacy of the model, which allows to solve the traffic modes optimization problem for the tram track sections and increase the overall efficiency of the electromotive railway rolling stock. References 19, figures 3.

Key words: electromotive railway rolling stock, genetic algorithm, cooling system, traction motor, tramcar, control laws, optimization problem, efficiency.

Разработана методика моделирования движения асинхронного тягового двигателя при движении электроподвижного состава по энергооптимальным режимам на участке пути с заданным профилем и установленным графиком движения. Определены оптимальные режимы движения электроподвижного состава на основе метода Гамильтона-Якоби-Беллмана. Определение режимов работы тягового привода предложено проводить заранее на основании решения задачи условной оптимизации его режимов. Определение оптимальных режимов работы тягового привода было проведено на основе комбинированных методов условной минимизации функции. Использование предлагаемой методики позволяет повысить общий КПД электроподвижного состава. Библ. 19, рис. 3.

Ключевые слова: электроподвижной состав, генетический алгоритм, система охлаждения, тяговый двигатель, вагон трамвая, законы управления, проблема оптимизации, коэффициент полезного действия.

Introduction. The processes of energy conversion in traction electromechanical converters (traction motors) relate to constant losses in different elements of its construction. The most of power loss are caused by physical processes of energy conversion [1-5]. The temperature of the traction motors design parts increases with the operating time and may exceed the permissible design limitations. This is especially true for the windings insulation temperature, which is limited to the thermal class of applied insulation [2-5]. To reduce the temperature on traction motors, cooling systems that increase the efficiency of the heat transfer of the motor construction components are used.

However, cooling systems need additional costs for their efficient work, which in turn reduces the efficiency of the electric vehicle in general. Thus, the creation of an efficient cooling system for electromotive vehicles is one of the most important scientific and technical problems solved by many leading scientists in the field of railway transport [1-5].

The following ways are possible to solve this problem: reduction of losses in the elements of traction motors design and increase of efficiency of the cooling system. Optimization of traction motors designing processes, which is common in most enterprises of leading electrotechnical manufacturers, allows to create traction motors optimal by their efficiency [1].

However, the modes of their operation on the electromotive railway rolling stock (ERRS), which moves at different speeds and under different load conditions, significantly reduce its overall efficiency [1, 6-12].

Determination of optimal motion modes by energy consumption criteria can improve the efficiency of the cooling system of traction motors [1, 6-12].

The paper considers the solution of this problem for the most common motors in production now - an asynchronous traction motors (ATM) on the base of Hamilton-Jacobi-Bellman method.

The aim of the paper to improve the methodology of an electromotive railway rolling stock simulation in terms of power-optimal modes on a track with a given profile and a set motion graph.

The task of optimizing of the traction drive modes. The basic states of the simulation method for the electromotive rolling stock in terms of power-optimum modes at the track with a given profile and a fixed motion graph and initial developments were described in papers [17, 18]. In this paper we present the results of further authors researches that were begun in previous works.

The determination of the ATM-SVI circuit efficiency based on the approaches proposed in the works [1, 13] is carried out, which include the following: to solve the problem of determining the optimal modes of the traction drive, four problems of the conditional optimization of the parameters of the traction drive must be solved (in acceleration modes Uop = 1, regenerative braking mode Uop = 5, maintaining mode of a given movement speed Uop = 2.3).

The efficiency of the traction drive in a certain mode of its work will be evaluated according to the criterion of maximum of its efficiency, subject to compliance with the requirements imposed by the operation modes.

© O. Petrenko, B. Liubarskiy, V. Pliugin

Therefore, the task of determining the efficiency of the traction drive is to find the extremum of the drive factor function.

The efficiency of the traction drive (Fig. 1) can be given under the next equation:

m =

Uop = i; m ^ max, Fd ^ max,

\Fd\< \Fk\,

v < vm d

max

Fd > 0

Uop = 2; ^ max,

N < \Fk l

v < vm

d

max

Fd > 0

Uop = 3; m ^ max,

|Fd| <\Fk\,

v < vm

d

max

Fd < 0

Uop = 5; m ^ max, Fd ^ min,

lFd| <1 Ft|,

(i)

v < v,

d

max

Fd < 0

Fci =

i - mi ^ min, - Fd ^ min,

(2)

The first component is chosen in such way that when it is minimized, the maximization of the efficiency of the traction drive can be obtained.

For regenerative braking mode, the vector target function has the form:

Fc5 =

i - mi ^ min, Fd ^ min,

(3)

For a given speed maintaining mode we select as a target function:

Fc3 = Fc4 = i - mi ^ min .

(4)

Thus, the target functions to determine the traction drive optimal operating modes were chosen, which allow to find the optimal traction drive modes when different PWM modes are using.

The general formulation of an optimal control in real time in [13] is described.

Software-oriented model of the ERRS motion. As an optimization method, a combined genetic algorithm was chosen: a global search is performed by a genetic algorithm with a one-point crossover and roulette selection. At the final stage of the optimization procedure, the refinement of the optimum by the Nelder-Mead method is carried out [1, 13-19].

Let us consider the representation of the train motion equation in the program-oriented form, which will allow to use it for determination of the optimal control laws according to the Hamilton-Jacobi-Bellman method.

In this paper, the forces and supports are calculated as follows:

Acceleration force FA (for one time step)

Fa

where m - efficiency of the asynchronous traction motor (ATM) circuit - standalone voltage inverter (SVI), Uop -the operation mode of an electromotive railway rolling stock (ERRS), Fd - traction or braking force created by ERRS, Ft - limitation for engagement force of wheel-

rail contact, v - railway rolling stock speed, vmax -constructive movement speed. Uop = 4 - outburst mode is an idle mode, so it is not considered in determining of drive efficiency.

For each of these tasks, it is necessary to consider two modes: the use of single-time or spatial-vector pulse-width modulation (PWM). The mode of acceleration and regenerative braking are similar. Apply the method of vector objective functions proposed in [i, i4]. As a target function for the acceleration mode, we select a vector function with the next parameters:

v(t) - v(t - tstep ) tstep

where m - train weight, a conjunction;

v(t) - v(t - tstep)

a =

tstep

(5)

(6)

where a - the equivalent constant acceleration, which is subjected to a train at a speed difference v(i) - v(t - tstep) in one time step, due to the assumption that for each time step the acceleration is constant and the speed is linearly dependent on the time for each time step.

The main resistance to rolling Frr (for one time step).

Since the velocity is linearly dependent on the time for each transition (time step), the rolling resistance for each time step can be calculated according to the average speed step and is equal to:

vavg

v(t) + v(t - tstep) 2

(7)

Thus, the main motion resistance for each time step will be:

2

Frr arr + b vavg + c vavg •

(8)

where arr, b, c - coefficients which for the tram car T-3 VPA with a full load 30000 kg have the following values: i500 N, 0 N-c/m, and i.5 N-c2/m accordingly.

As a result, the force for ERRS moving on tstep:

Ftot = (i + Y)Fa + Frr + Fs + Frk . (9)

where Fs, Frk - resistance forces from the slopes and curves determined by the following equations:

Fs=mg

i000

The value of losses, and hence the efficiency of the drive, can be determined based on the slip of the traction motor, the motor voltage (phase or line) and the rotation speed. Because the operating modes are determined for all motion speeds (ATD rotation speeds), the rotation speed is a predetermined constant given in solving problem of finding the optimal traction drive operation mode.

Frk = '

r 0

R - cri

(i0)

(ii)

where cr0, cr1- constants, determined by [15]; R - radius of the curve, i - slope, g - gravitational acceleration.

The required energy for movement on tstep, considering the limitations and the assumption that the velocity changes linearly over time, using [15] is listed below.

m

For the time step from the state n-1 to the state n, from the equation of equally accelerated motion, the traveled distance can be obtained by equations (13).

f (1 + y)FA + arr + ^

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+ b va

T

E = I

t=tstep

sign

im )

sign

avg

+ c.v2 + - Cr0

vavg T

R - Cr1

■ m +

+ mg-

v 1000

v(t ) + v(t - tstep) x —-^-— ■ tstep

(1 + ï) Fa + arr + b * Vavg +

2 , cr0 '

+c*Vavg +

a g R - cr1

< 9.81 km .1000

. m + mg

1000

(12)

A*n = vn-1 Atn + - an Atn ,

Axn = vn-1 *Atn + - Vn - Vn-1 At2 ^ n n 1 n 2 Atn n

Axn = vn-1 Atn +1 vn Atn- -2 vn-1 Atn ^ (13) Axn = 2 (vn-1 + vn )Atn ^ xn - xn-1 = 2 (vn-1 + vn ) Atn ^ xn = xn-1 + -2 (vn-1 + vn )Atn .

where xn, v„, an - position of the train, its speed and acceleration at n step.

For one hour step we have:

where ks - the coefficient of clutch, which for the tram is 0.16, vavg - average speed per step.

Input Converter Intermediate Loop

= 1 i

xt = xt-tstep + 2 Vt-tstep + vt

)step ,

(14)

where xt - final position of the train for one tstep; xt-tstep - the initial position of the train for one tstep.

x

( 750-3000 V DC

<s>

L 1 _ T, =

ll

Output Converter

Electromechanical Converter

SVT

ATM

Fig. 1. The typical scheme of traction drive

Expression (14) gives the final position of the train for transfer, when the initial position, the initial and final velocities are known, as well as the value of the time step.

Thus, the resulting equations (12 - 14) allow to improve the simulation method of the electromotive rolling stock in terms of energy optimum modes.

The solution of the traffic modes optimization problem for the track section from the tram depot «Saltovske» to the turning circle of 602 district in Kharkiv and in the reverse direction was carried out. The results of solving the traction problem with tram traffic in

optimal mode on Fig. 2 are shown. According to the results of solving the traction problem, the losses in the elements of the traction motor design on Fig. 3 are shown.

By means of a comparative analysis of experimentally determined and computing traction characteristics and efficiency values, the adequacy of the proposed mathematical model for the drive efficiency determination of the was established.

The maximum deviation in the calculation of losses is 7.42 %, which is quite acceptable for the carried-out calculations.

10000

12000

X, M

Fig. 2. The solution results of the traction movement task for the tramcar T-3VPA with traction motor AD931 on the track section

from the tram depot «Saltovske» to the turning circle of 602 district in Kharkiv and in the reverse direction: 1 - movement speed ( v), km/h ; 2 - speed limitation , km/h; 3 - traction force, (F) kN; 4 - movement time (t), min, 5 - losses (E), kW-h 4000,-,-,-,-,-,-,-

2000

4000

2000

2000

1000

2000

1000

Il -r-, - "Y'liniiif riii

pñMj

1

2000

4000

6000

sooo

10000

12000 f s

10000

12000

iffliid

2000

4000

6000

sooo

10000

12000 t.s

0 2000 4000 6000 8000 10000 12000 f v

Fig. 3. Loses in traction motor: i - core loss W; 2 - rotor loss P2, W; 3 - copper losses in stator winding at a slot part P3, W; 4 - copper losses in stator winding at a front part P4, W; 5 - mechanical losses P5, W

Conclusions.

1. Using the genetic algorithm and the Yakobi-Hamilton-Belman method the calculated ratios for the determination of the railway electromotive traction drive efficiency are obtained. On this base the methodology of ATM motion simulation during the movement of the electromotive rolling stock according to the poweroptimal regimes on the track section with the given graph and the set motion schedule is improved.

2. The adequacy of the obtained equations, which determine the efficiency both the maximum efficiency value of the ATM-SVI circuit in different operating modes under the coupling constraints, and constructive speed, is confirmed by the results of the experiment on the section of the tramway from the depot «Saltovske» to the turning circle of 602 district in Kharkiv. The maximum deviation in the calculation of losses does not exceed 7.42 %.

3. According to the results of solved traction problem, the change in losses in the elements of the traction tram traction design was first determined.

4. The use of advanced methodology is proposed to be carried out in advance based on solving the problem of work modes conditional optimization.

REFERENCES

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Received 01.10.2017

O. Petrenko1, Candidate of Technical Sciences, Associate Professor,

B. Liubarskiy2, Doctor of Technical Sciences, Professor, V. Pliugin1, Doctor of Technical Sciences, Professor,

1 O.M. Beketov National University of Urban Economy in Kharkiv,

17, Marshal Bazhanov Str., Kharkiv, 61002, Ukraine, e-mail: [email protected]

2 National Technical University «Kharkiv Polytechnic Institute», 2, Kyrpychova Str., Kharkiv, 61002, Ukraine.

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