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DESIGN OF WATER LEVEL CONTROL SYSTEMS USING PID AND ANFIS BASED ON FIREFLY ALGORITHM Machrus Ali; A N Afandi; Asnun Parwati; Ruslan Hidayat; Cholil Hasyim
JEEMECS (Journal of Electrical Engineering, Mechatronic and Computer Science) Vol 2, No 1 (2019): February 2019
Publisher : Merdeka Malang University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (491.768 KB) | DOI: 10.26905/jeemecs.v2i1.2804

Abstract

At present, a controlling system of the fluid flow measurement is needed in industrial processes. Determination of the water quantity is also used to reduce the volume of water usage in the holding tank varies. The effort to overcome this problem has made using a system for regulating performances while a water flow based on the tank volume controlled using a PID system. This system uses a flow sensor to detect the water speed, an electric ball valve as an actuator. In principles, this tool is used to stabilize the output water speed per minute at a predetermined set point. This study is focused in five designed method comparison in associated with a water level without control, standard PID method, PID-Auto tuning method Matlab, PID-FA method, and ANFIS-PID-FA method. The results of the PID-FA training data are used as an input from ANFIS. From the simulation, it is also found that five control models have different performances while the ANFIS-PID-FA model is performed in the best control model. The ANFIS-PID-FA model has also the smallest overshot and undershot on the water level and output flow of 0.0021 pu, 0.0093 pu, 0.0072 pu, and 0.0096 puDOI : https://doi.org/10.26905/jeemecs.v2i1.2804
HYBRID SYSTEM OF DUAL AXIS PHOTOVOLTAIC TRACKING SYSTEM USING PID-CES-ACO Machrus Ali; Rukslin Rukslin; Cholil Hasyim
JEEMECS (Journal of Electrical Engineering, Mechatronic and Computer Science) Vol 4, No 2 (2021): August 2021
Publisher : Merdeka Malang University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26905/jeemecs.v4i2.6138

Abstract

In this paper, the efficiency of photovoltaic panels is improved by adding two solar tracking systems. The solar tracking system is used to track the sun so that the photovoltaic always faces the sun. This system uses a dual axis consisting of a horizontal rotation axis and a vertical rotation axis. The motion of the horizontal axis of rotation follows the sun's azimuth angle from north to south. The motion of the vertical axis of rotation following the sun's azimuth angle from east to west is the vertical axis motion. Both types of movement are controlled using PID and Fuzzy controllers which are optimized with an artificial intelligence approach, namely Ant Colony Optimization (ACO). Experiments with PID control approach and CES control were optimized using the ACO method (Hybrid PID-CES-ACO method).   In this research, PID-CES-ACO was the best model, obtained on the horizontal axis of overshot 1328 pu, the smallest undershot was 0.116, and the fastest settling time was 0.183 s, on the vertical axis the smallest overshot was 1.246 pu, the smallest undershot was 0.044, the fastest settling time was 0.163 s
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): 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.