Determination of Optimum Rails Dimensions in Railgun by Lagrange's Equations

Keshtkar, Asghar; Maleki, Toraj; Kalantarnia, Ali; Keshtkar, Ahmad

doi:10.1109/elt.2008.118

Cited by 3 publications

(3 citation statements)

References 5 publications

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“…The projectile speed value above is consistent with the one in(YANG Yu dong and WANG Jian xin,2008) ,these calculation results are proved that it is ture.The width and the distance between two rails (Asghar keshtkar and Toraj Maleki, 2009)have obviously effect on the speed of the projectile from the model of armature motion. Fig.2 shows that the launched speed of the projectile is increasing with the distance between two rails and width of rail increasing, then it is decreasing with their changing.…”

Section: The Results and Analysis Of Optimizationmentioning

confidence: 99%

Optimization of Launched Parameters of the Railgun with Internal Penalty Function Method

Li¹,

Zhang²,

X³

et al. 2011

JMR

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The launched speed of projectile is one of the most important parameters in the design of railgun, in order to explore the influence of the launched speed of projectile by the length of rail and the driving current. Therefore, it is meaningful that gets the optimum speed of projectile. In this paper, main resistances (plasma viscous drag, inertial drag and air drag) was full considered in the motion process of plasma armature, and the optimization model includes the speed of the armature,driving current and the length of rail were build,then it was optimization calculated with internal penalty function method. The optimization result shows that the launched speed of projectile is maximum when the driving current and the length of rail are fixed value. The purpose lies in adjusting the width and the length of the rail and the distance between two rails so as to adjust the launched speed of projectile. The result of research laid a theoretical foundation for designing and manufacture of the railguns.

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Section: The Results and Analysis Of Optimizationmentioning

confidence: 99%

Optimization of Launched Parameters of the Railgun with Internal Penalty Function Method

Li¹,

Zhang²,

X³

et al. 2011

JMR

View full text Add to dashboard Cite

show abstract

“…Further, the increase in inductive energy W ind is calculated using inductance gradient (L ) determined from "Kerrisk L ," which is a function of the shape of the rail and current (I) [17,18].…”

Section: Introductionmentioning

confidence: 99%

Analytical Performance Prediction of an Electromagnetic Launcher and Its Validation by Numerical Analyses and Experiments

et al. 2019

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An electromagnetic launcher (EML) is used to generate high launching velocities. The basic governing equation of the propulsion force of an EML is that the propulsion force is directly proportional to current and inductance gradient. L ′ is the inductance gradient that refers to the increase or decrease in the inductance with the length of rails. The inductance gradient is easily calculated because it is a function of the rail shape and frequency. However, current ( I ) flowing in an EML is calculated by the series resistor, inductor, and capacitor (RLC) equation of the equivalent circuit. Here, L is not constant and increases as the projectile muzzles. Owing to the increase in inductance, the current ( I ) and voltage ( V ) vary depending on the projectile position. Therefore, inductance, current, and voltage should be exactly obtained to calculate the exact current at a specific time. This study deals with analytical performance prediction using the relation EML propulsion force with real-time current, which is based on an increase in resistance and inductance at a specific time. To validate this approach, the results of the current waves are compared via numerical analyses and experiments. Using this prediction method, it is possible to determine and optimize the rail shape and length from the capacitor bank and vice versa.

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“…A novel two-objective function optimization design model for pulsed power supply (PPS) was proposed in [2], and the operating factors, including operating voltage and trigger delay times, were determined via optimization by using the Nondominated Sorting Genetic Algorithm-II. Analytical formulas for the maximum current density and the inductance gradient were obtained in [3] by the use of an analytical approach employing Lagrange's optimization equations. To achieve the best performance with the lowest energy input, an optimization approach using the field-circuit method and orthogonal test was introduced in [4].…”

Section: Introductionmentioning

confidence: 99%

Optimization of Electromagnetic Railgun Based on Orthogonal Design Method and Harmony Search Algorithm

Chao

Yan

et al. 2015

IEEE Trans. Plasma Sci.

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Muzzle velocity is a key performance metric of the electromagnetic railgun. To obtain the optimal value of the muzzle velocity in terms of the parameters affecting it, an approach combining the orthogonal design method (ODM) and the harmony search (HS) algorithm is presented. There are up to 11 factors that affect the muzzle velocity, including eight trigger delay times of pulsed power supply (PPS), the operating voltage of PPS, the length of rail, and the mass of the projectile. The optimal values of these factors are computed and the degree of significance of these factors is ordered by the use of ODM analysis. Based on the significance order, the varying ranges of these factors are decided and a hierarchical optimization model is established. The optimization model is solved by the HS algorithm with the penalty function method, which is used to satisfy the process constraints. For example, the peak of current is bounded under 420 kA. Finally, the optimization result using ODM analysis along with the HS algorithm is compared with that using the HS algorithm alone. It is noted that by using ODM analysis along with the HS algorithm, the average of initial muzzle velocity is increased by 43.53%, and the average of best final muzzle velocity is increased by 1.34%.Index Terms-Electromagnetic (EM) railgun, harmony search (HS) algorithm, optimization, orthogonal design, penalty function.

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Determination of Optimum Rails Dimensions in Railgun by Lagrange's Equations

Cited by 3 publications

References 5 publications

Optimization of Launched Parameters of the Railgun with Internal Penalty Function Method

Optimization of Launched Parameters of the Railgun with Internal Penalty Function Method

Analytical Performance Prediction of an Electromagnetic Launcher and Its Validation by Numerical Analyses and Experiments

Optimization of Electromagnetic Railgun Based on Orthogonal Design Method and Harmony Search Algorithm

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