The MODIFICATION OF THE DRIVE SYSTEM IN AUTOMATICAL AMMUNITION CLADDING DETROYER

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.

Adaptive proportional-integral fuzzy logic controller of electric motor drive

This paper presents the indirect field vector control of induction motor (IM) which is controlled by an adaptive Proportional-Integral (PI) speed controller. The proposed solution can overcome the rotor resistance variation, which degrades the performance of speed control. To solve this drawback, an adaptive PI controller is designed with gains adaptation based on fuzzy logic in order to improve the performances of IM with respect to parameters variations, particularly the rotor resistance (Rr). The proposed control algorithm is validated by simulation tests. The obtained results show the robustness towards the load torque disturbances and rotor resistance variation of the adaptive Proportional-Integral fuzzy logic control with respect to classical PI control, and adaptive control based on rotor resistance observer.

Pengendalian Tegangan Keluaran DC-DC Boost Converter Tipe Voltage Doubler Menggunakan Mikrokontroler STM32F1038CT

Five-level inverter is widely used in many industrial applications, for example as a three-phase electric motor drive, PLTS, etc. This inverter works using two separated DC voltage sources in order to form different voltage level. Five-level inverter using one DC voltage source will be more efficient. A DC-DC boost converter on Voltage Doubler type is used in order to solve the problem. The focus of this research is on controlling the DC-DC boost converter on Voltage Doubler type. The switch control method uses a shifted pulse width modulation of 1800. To get a suitable output voltage, an output voltage control system is applied. A proportional and integral type control is implemented using STM32F1038CT microcontroller. The output voltage controlled DC-DC boost converter is validated through computational simulation with Power Simulator software and as the final step will be implemented on hardware in the laboratory. Based on the simulation and implementation, Voltage-Doubler type of DC-DC boost converter is able to produce the required output voltage, which is two times greater than the conventional DC-DC boost converter output voltage.

Rating the speed of the shearer’s electric motor drive load automatic control

Introduction. It is possible to improve productivity, effectiveness, and cost-efficiency of coal extraction due to the efficient use of physical resources, technical upgrade of mechanized longwall equipment, and introduction of advanced technologies and control methods. The existing method of shearer electric motor drive automation based on the automated load controller of Uran type has a significant drawback of low speed. In case the actuator (A) meets solid rock and the shearer’s (S) speed is not changed, it may result in heavy shock loads on A and its transmission, therefore, increased wear of the cutter or machine’s breakage, leading to production loss due to the reduced speed of travel along the face. The foregoing demands higher standards of the load controller’s speed, making the task of improving the control system’s development a relevant scientific task. Research aim is to synthesize the neural tuner for the coefficients of the proportional-integral controller (PI controller) in the control system of a shearer with increased speed as compared to the existing standard controllers. The research also aims to estimate its efficiency by the method of mathematical simulation. Methodology. Mathematical model has been developed which has made it possible to compare the performance of standard controllers with an adaptive PI controller. The structure and parameters of the neural network underlying the controller have been substantiated. The proposed controller was compared to the standard PI controller and to the MPC controller (microprocessor-based speed controller) by the method of simulation experiment. Research results. The adaptive PI controller has been synthesized based on the neural network which allows changing the coefficients of the PI controller as soon as coal strength changes. Summary. The simulation experiment has shown that the PI controller with the neural network tuner for its coefficients in the control system will make it possible to increase the load controller’s speed by 1.5 to 3 times on average as compared to the classical controller. Therefore, it is going to be possible to avoid critical overload and breakage of mechanical parts in the shearer’s transmission in case of the sudden contact of its actuator with solid inclusion.

Pembuatan Dan Pengujian Mesin Bending Rotary Baja Untuk Aplikasi Stand Pot Bunga Diameter 8 dan 10 Inch

In this day and age people decorate homes with flower pots and many models of flower pot place creations. Usually the place to put flower pots in the form of a circle and to make a circular iron is made manually requires energy and a long time. A bending machine is needed to make concrete iron circle creations. The aim of this research is to produce a rotary bending machine that is able to work efficiently in forming a concrete steel circle. The method used in this study is a practical method that is doing machine design and continued with the manufacture and field testing. The working principle of this machine is to use a motor that functions to move the Gearbox and continue the rotation to the shaft, then the shaft rotates and the bending mall rotates and makes the steel concrete come round and circular. The conclusion is (a). This concrete steel rotary bending machine has dimensions of 550 mm x 550 mm x 1000 mm with an electric motor drive power source (b). The results of the bending process using a concrete steel rotary bending machine are far more efficient than doing manual bending

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

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.