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Optimasi Dual Axis Tracking Untuk Solar Cell Berbasis Imperialis Competitive Algorithm (ICA) Mohammad Hasib Al Isbilly; Tubagus Fahm; Markhaban Siswanto
Jurnal Intake : Jurnal Penelitian Ilmu Teknik dan Terapan Vol. 10 No. 1 (2019): Vol. 10 No. 1 April 2019
Publisher : FT- UNDAR

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.48056/jintake.v10i1.51

Abstract

The use of fossil energy as an electric fuel causes the earth to experience global-warming. As a tropical country, Indonesia has great potential to develop solar energy as a substitute for fossil energy. Increased efficiency in capturing sunlight will further optimize the work of the Solar Power Plant (PLTS). One way that can be done is by making a solar tracker so that the Solar Panel can follow the direction of the sun's motion. Optimization Design The solar tracker uses dual axis using Proportional Integral Differential (PID) control tuned with the Imperialis Competitive Algorithm (ICA), which is expected to be able to get the right angle between the yaw and Pitch with Azimuth and Elevation Angle. The PID-ICA controller design is done using matlab software. For vertical and horizontal rotary axes it is expected to obtain the best PID-ICA constant, which in turn will affect the performance and optimization of the photovoltaic system. The best optimization results using ICA-based PID with a settling time value of 0.0906 s on the horizontal axis and 0.094 s on the vertical axis
Optimasi Kontrol Katup Aliran Debit Air Pada Mikro-Hidro Berbasis Ant Colony Optimization Asnun Parwanti; Markhaban Siswanto; Cholil Hasyim; Mohammad Hasib Al Isbilly
Jurnal Intake : Jurnal Penelitian Ilmu Teknik dan Terapan Vol. 9 No. 2 (2018): Vol. 9 No. 2, Oktober 2018
Publisher : FT- UNDAR

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.48056/jintake.v9i2.46

Abstract

Technically, Microhydro has three main components in generation, namely water (as an energy source), turbine, and generator. Water flowing with a certain capacity is channeled to the height of a certain house (turbine house). Water discharge is regulated by a water discharge regulating valve. In a power house, the water installation will pound the turbine, the turbine will receive energy directly from the water and turn it into mechanical energy. The shaft is then transmitted to the generator using a clutch. Because of frequent fluctuations in the frequency and voltage of the system which can cause damage to electrical equipment. Therefore optimization of the water flow valve control is used so that the frequency control can be more stable. To obtain optimal control parameters on a micro hydroelectric power generation system, the Ant Colony Optimization (ACO) method is used. The results of this study will be tried by other methods, the results of which may be better.
Pengaturan Debit Air Berdasarkan Volume Air Dalam Tangki Berbasis Imperalis Competitive Algorithm (ICA) Markhaban Siswanto; Mohammad Hasib Al Isbilly; Asnun Parwanti; Machrus Ali
Jurnal Intake : Jurnal Penelitian Ilmu Teknik dan Terapan Vol. 8 No. 2 (2017): Vol. 8 No. 2 Oktober 2017
Publisher : FT- UNDAR

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.48056/jintake.v8i2.29

Abstract

An aquatic industry needs a good fluid flow measurement control system. Determination of the quantity of water is reduced because the volume of water in the holding tank varies. The effort to overcome this problem is made a system of performance regulation of water flow based on the volume of tanks with PID controls based on Imperalis Competitive Algorithm (ICA). This system uses ICA as a PID controller controller on a mini computer, flow sensor as a water speed detector, electric ball valve as an actuator. The working principle of this tool is to stabilize the output water speed per minute at a predetermined set point. This study compares 3 models; without control, PID control, PID Ziegler Nichols control, and PID controlled ICA controls. The simulation results in the study showed that the best control design in the study was the PID-ICA with the smallest overshot water level of 0.0154 pu, the smallest undershot water level of 0.0134 pu, the smallest overshot flow of 0.0102 pu, and the smallest undershot of 0.0097 pu.