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All Journal Mechatronics, Electrical Power, and Vehicular Technology
Kamil Faqih
Universitas Negeri Malang
Electrical & Electronics Engineering

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Journal : Mechatronics, Electrical Power, and Vehicular Technology

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Smart guided missile using accelerometer and gyroscope based on backpropagation neural network method for optimal control output feedback Kamil Faqih; Sujito Sujito; Siti Sendari; Faiz Syaikhoni Aziz
Journal of Mechatronics, Electrical Power and Vehicular Technology Vol 11, No 2 (2020)
Publisher : National Research and Innovation Agency

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14203/j.mev.2020.v11.55-63

Abstract

As a maritime country with a large area, besides the need to defend itself with the military, it also needs to protect itself with aerospace technology that can be controlled automatically. This research aims to develop an air defense system that can control guided missiles automatically with high accuracy. The right method can provide a high level of accuracy in controlling missiles to the targeted object. With the backpropagation neural network method for optimal control output feedback, it can process information data from the radar to control missile’s movement with a high degree of accuracy. The controller uses optimal control output feedback, which is equipped with a lock system and utilizes an accelerometer that can detect the slope of the missile and a gyroscope that can detect the slope between the target direction of the missile to follow the target, control the position, and direction of the missile. The target speed of movement can be easily identified and followed by the missile through the lock system. Sampling data comes from signals generated by radars located in defense areas and from missiles. Each part’s data processing speed is calculated using a fast algorithm that is reliable and has a level of accuracy and fast processing. Data processing impacts on the accuracy of missile movements on any change in the position and motion of targets and target speed. Improved maneuvering accuracy in the first training system can detect 1000 files with a load of 273, while in the last training, the system can detect 1000 files without a load period. So the missile can be guided to hit the target without obstacles when maneuvering.
Smart grid photovoltaic system pilot scale using sunlight intensity and state of charge (SoC) battery based on Mamdani fuzzy logic control Kamil Faqih; Wahyu Primadi; Anik Nur Handayani; Ari Priharta; Kohei Arai
Journal of Mechatronics, Electrical Power, and Vehicular Technology Vol 10, No 1 (2019)
Publisher : National Research and Innovation Agency

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14203/j.mev.2019.v10.36-47

Abstract

The Utilization of renewable energy such as a photovoltaic system is the foremost alternative in transfers generated by conventional power plants, but the lack of photovoltaics is support for light intensity. The purpose of this research is to develop a pilot-scale smart grid photovoltaic system that can regulate the supply of electrical energy from either the battery or the power supply. The control system in this study uses the Mamdani fuzzy logic method in determining automatic system performance. This system monitors the intensity of light and battery which are then used as automatic safety parameters on the power supply, battery, and photovoltaic. The results of this study display the indicator results from the microcontroller in supplying electrical energy for the use of electrical loads, Power Supply has been served the load when the battery is in a low state which have a voltage 11 Volts, the battery has been served the load when the condition of the battery is in a medium and high condition which has a voltage of 11.5 ; ....; 13 Volts. PV has been served batteries or loads when the light intensity is cloudy and bright which have a light intensity of 3585 ; ...; 10752 Lux. This system can reduce dependence on conventional energy without reducing the quality of the energy supply at load and Photovoltaic system dependence on light intensity does not affect the supply of energy consumption to electrical loads.
Co-Authors A.N. Afandi Anik Nur Handayani Ari Priharta Faiz Syaikhoni Aziz Kohei Arai Mu’ammar Faris Labib Siti Sendari Wahyu Primadi