scholarly journals The MODIFICATION OF THE DRIVE SYSTEM IN AUTOMATICAL AMMUNITION CLADDING DETROYER

2021 ◽  
Vol 2 (Oktober) ◽  
pp. 40-49
Author(s):  
Lamhot Pangaribuan ◽  
Fajar Apit Firmanto ◽  
Dedi Nurdiansyah
Keyword(s):  
Research Methods ◽  
Electric Motor ◽  
Industrial Revolution ◽  
Motor Drive ◽  
Military Power ◽  
Military Strategy ◽  
Drive Power ◽  
Military Equipment ◽  
Technological Developments ◽  
Electric Motor Drive

The era of the Industrial Revolution 4.0 military power became one of the important elements because technological developments have changed the entire order of military strategy. One of them is the development of military equipment technology part of weaponry. As is known, often Indonesia army soldiers conduct shooting exercises to defend the Nation and the Unitary State of the Indonesian People (NKRI). With the shooting training there is a lot of waste from bullet cladding. Bullet cladding or patrun is an object that is a container that wraps around a bullet projectile and consists of propellant (gunpowder), rim, and primer. Bullets/munitions after firing can still be recycled back into active munitions. In accordance with the purpose of this study, researchers modified a cladding machine in order toimprove the performance of thetool effectively than before. The research methods used are a combination of experimental and empirical manual calculations to determine the relevant results. The result destruction can cut 3 grains of cladding even more in everyone round of the cutting blade, so this study modified the transmission system, fixed clutch, shaft, straight gear. The transmission uses a1:60 wpa gearbox ratio, with an electric motor drive power of 1.5 kW/ 2 HP, 1450 r / min, using a flange type clutch.

scholarly journals Loss minimization DTC electric motor drive system based on adaptive ANN strategy

2020 ◽  
Vol 11 (2) ◽  
pp. 618
Author(s):  
Sim Sy Yi ◽  
Wahyu Mulyo Utomo ◽  
Goh Hui Hwang ◽  
Chien Siong Kai ◽  
Alvin John Lim Meng Siang ◽  
...  
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Online Learning ◽  
Electric Motor ◽  
Drive System ◽  
Motor Drive ◽  
Loss Minimization ◽  
Light Load ◽  
Flux Level ◽  
Electric Motor Drive

Electric motor drive systems (EMDS) have been recognized as one of the most promising motor systems recently due to their low energy consumption and reduced emissions. With only some exceptions, EMDS are the main source for the provision of mechanical energy in industry and accounts for about 60% of global industrial electricity consumption. Large energy efficiency potentials have been identified in EMDS with very short payback time and high-cost effectiveness. Typical, during operation at rated mode, the motor drive able to hold its good efficiencies. However, a motor usually operates out from rated mode in many applications, especially while under light load, it reduced the motor’s efficiency severely. Hence, it is necessary that a conventional drive system to embed with loss minimization strategy to optimize the drive system efficiency over all operation range. Conventionally, the flux value is keeping constantly over the range of operation, where it should be highlighted that for any operating point, the losses could be minimize with the proper adjustment of the flux level to a suitable value at that point. Hence, with the intention to generate an adaptive flux level corresponding to any operating point, especially at light load condition, an online learning Artificial Neural Network (ANN) controller was proposed in this study, to minimize the system losses. The entire proposed strategic drive system would be verified under the MATLAB/Simulink software environment. It is expected that with the proposed online learning Artificial Neural Network controller efficiency optimization algorithm can achieve better energy saving compared with traditional blended strategies.

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