Development of automatic firing angle calculation for ground to ground MLRS

Charubhun, Weerawut; Chusilp, Pawat

doi:10.1109/acdt.2015.7111577

Cited by 4 publications

(3 citation statements)

References 2 publications

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“…This paper employs a 6-degree-of-freedom (6DOF) trajectory model in the fire firing table program developed at DTI for other artillery rockets [15]. The model includes Earth's rotation and meteorological data, and utilizes WGS84 ellipsoid to represent Earth's shape.…”

Section: A Develop a Rocket Trajectory Modelmentioning

confidence: 99%

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Estimation of impact points of an artillery rocket fitted with a non-standard fuze

Chusilp¹,

Charubhun²

2016

2016 Second Asian Conference on Defence Technology (ACDT)

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This paper describes a quick method to predict the impact point of an artillery rocket when it is equipped with a non-standard fuze and the firing tables and a fire control program supplied by the rocket manufacturer become no longer accurate. The method has been applied to a 122 mm artillery rocket that was originally designed to be used with MRV-U fuze but it was replaced by M423 fuze. Live fire tests of six rockets were conducted at a half range and a full range. The impact points were measured by a radar. From the test results, the average relative error of predicted range by the proposed method was -1.4% at half range and -3.3% at full range.

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Section: A Develop a Rocket Trajectory Modelmentioning

confidence: 99%

“…The trajectory model that had been adjusted by the proposed method was utilized by a firing table program [15] to calculate firing angles. Meteorological data was obtained by a radiotheodolite system that measures temperature, pressure, wind speed, and wind direction as a function of altitude.…”

Section: Live Fire Testsmentioning

confidence: 99%

Estimation of impact points of an artillery rocket fitted with a non-standard fuze

Chusilp¹,

Charubhun²

2016

2016 Second Asian Conference on Defence Technology (ACDT)

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“…P. Chusilp et al came up with four iterative search algorithms and compared the calculation efficiency of four algorithms with the firing angle calculation of M107 projectile as a case study [19]. In addition, W. Charubhun et al put forward an efficient method of firing angle calculation for the MLRS with the six DOF trajectory program and iterative binary search method by having prior knowledge of the ranges versus the firing angles [20].…”

Section: Introductionmentioning

confidence: 99%

Efficient Method of Firing Angle Calculation for Multiple Launch Rocket System Based on Polynomial Response Surface and Kriging Metamodels

Zhao

Tang

Han³

et al. 2019

Mathematical Problems in Engineering

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Aiming at solving the problem of firing angle calculation for the multiple launch rocket system (MLRS) under both standard and actual atmospheric conditions, an efficient method based on large sample data and metamodel is proposed. The polynomial response surface, Kriging, and the ensemble of metamodels are used to establish the functional relations between the firing angle, the maximum range angle, the maximum range, and various influencing factors under standard atmospheric conditions, and related processes are described in detail. On this basis, the initial values for the first two iterations are determined with the meteorological data being made full use of in the six degrees of freedom trajectory simulation, and then the firing angle corresponding to a specific range is automatically and iteratively calculated. The efficient method of firing angle calculation for the typical MLRS has been extensively tested with three cases. The results show that the high-order polynomial response surface, the Kriging predictors with Cubic, Gauss, and Spline correlation functions, and the ensemble of above four individual metamodels have better performances for predicting the firing angle under standard atmospheric conditions compared with those of other metamodels under identical conditions, and execution times of the above four individual metamodels with a training sample size of 9000 are all less than 0.9ms, which verifies the effectiveness and feasibility of the proposed method for calculating the firing angle under standard atmospheric conditions. Moreover, the number of iterations is effectively reduced by using the proposed iterative search approach under actual atmospheric conditions. This research can provide guidance for designing the fire control and command control system of the MLRS.

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Projectile Launch Point Prediction via Multiple LSTM Networks

Wiputgasemsuk¹

2023

Lecture Notes in Networks and Systems

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Development of automatic firing angle calculation for ground to ground MLRS

Cited by 4 publications

References 2 publications

Estimation of impact points of an artillery rocket fitted with a non-standard fuze

Estimation of impact points of an artillery rocket fitted with a non-standard fuze

Efficient Method of Firing Angle Calculation for Multiple Launch Rocket System Based on Polynomial Response Surface and Kriging Metamodels

Projectile Launch Point Prediction via Multiple LSTM Networks

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