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Journal : Journal of Electrical, Electronics and Informatics

Design of Liquid Waste Aerator Control Based on Fuzzy Logic I Made Mataram; I Ketut Wijaya
Journal of Electrical, Electronics and Informatics Vol 3 No 2 (2019): JEEI (August 2019)
Publisher : Institute for Research and Community Services Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/JEEI.2019.v03.i02.p04

Abstract

Abstrak - Liquid waste is the result of liquid production which is no longer used, so it must be processed and managed so as not to cause pollution and decrease in environmental quality. The biological wastewater treatment system can use the services of decomposing bacteria. This performance is greatly influenced by several factors, including the amount of waste water, the level of impurities, the availability of oxygen (O2), the type of dirt and so on. Parameters used as standard control of BOD and COD liquid waste standards meet the standards. An aerator in the form of an air pump is used to disperse high-pressure air in liquid waste containing oxygen in the process of aeration effluence, so that when air rises to the surface of the water oxygen binding will occur. The operation of the aerator is generally done manually, so that there is a waste of use of electrical energy. This paper discusses the design of an aerator operating control system on waste quality standards using one input fuzzy logic controller and one output. The main component of the hardware is the Uno type Arduino microcontroller used, with the sensor input in the form of COD and output in the form of long working hours of the aerator. The results obtained indicate that the control device is able to reduce the use of electrical energy by 31.03% and can work well based on the value of small deviations and controls capable of working at a set point of 6-10 hours.
Induction Motor Monitoring System Base on Fuzzy Logic Controller Prof. Rukmi Sari Hartati; Ida Bagus Gede Manuaba; I Made Mataram
Journal of Electrical, Electronics and Informatics Vol 4 No 1 (2020): JEEI (February 2020)
Publisher : Institute for Research and Community Services Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/JEEI.2020.v04.i01.p03

Abstract

Squirrel cage induction motor is an AC electric motor that is most widely used in industry. This type of motor is chosen because it does not have a commutation brush, and its construction is strong, so it can withstand large, easy flow surges for repair and maintenance. The problem that often occurs is the imbalance of supply voltage which causes motor efficiency to decrease. An imbalance of voltage will result in a current not equal. As a result of phase currents that are much larger than other phases result in an increase in temperature and speed on the motor. This research was conducted to monitor the induction motor so that it can determine the condition of the motor when receiving a voltage imbalance. The method used in the induction motor condition monitoring system is the fuzzy logic method. Parameters that can be monitored are categorized into three conditions: normal (good) motor condition, damage (serious) and serious damage.
Improving Performance Stability of Power System Java-Bali Interconnection with PIDPSS3B and PIDSVC Controllers Ida Bagus Gede Manuaba; Putu Arya Mertasana; Made Mataram; Cok Gede Indra Partha
Journal of Electrical, Electronics and Informatics Vol 1 No 1 (2017): JEEI (February 2017)
Publisher : Institute for Research and Community Services Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/JEEI.2017.v01.i01.p04

Abstract

Modern electric power system that many its dynamic equipment continuously vulnerable to internal and external disturbances. On the condition of the disorder, it often happen oscillation in each part or between parts of the electrical system is interconnected. These oscillations become a major problem for the stability of the power system. Modern electrical control systems require a sustainable balance between power generation and demand varying loads. Power System Stabilizer and Static Var Compensator is a control device that is used to dampen low frequency oscillations and to provide additional feedback signal to stabilize the system. To increase the damping, system equipped with PSS generator that provides additional feedback to stabilize the signal in the excitation system. It is generally that the machine parameters changed by the load, so the dynamic behavior of the different machines at different operating conditions. Design PIDPSS3B power system stabilizer and PIDSVC controller used aim to get performance and optimum damping. Design and optimization of the proposed has the ability to optimally dampen and suppress errors are minimal.
Modelling Fuzzy Logic Type-2 for Liquid Waste Control of Aerator Machine I Made Mataram; I Ketut Wijaya
Journal of Electrical, Electronics and Informatics Vol 6 No 1 (2022): JEEI (December 2022)
Publisher : Institute for Research and Community Services Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Liquid waste cannot be disposed of directly, so it must be processed so as not to cause pollution to the surrounding environment. Both BOD (Biological Oxygen Demand) and COD (Chemical Oxygen Demand) treatment, oxygen is also required so that the quality of the liquid waste is safe for the environment. Liquid waste treatment mostly utilizes aerators to produce high pressure air in liquid waste containing oxygen (O2). The problem that occurs in most wastewater treatment is the determination of the working time of the aerator, resulting in excessive use of electrical energy, but the results of the waste are still within unsafe limits. In general, the operating time of the aerator is manually, this causes the use of electrical energy to be wasteful. This research was conducted, how to develop a control system design for aerator operating time on the quality of liquid waste. The development of the control system used is Sugeno interval fuzzy logic type-2 with 2 (two) input types of Gauss membership function. The advantage of interval fuzzy logic type-2 over type-1 fuzzy logic is the ability to provide more accurate output for higher input uncertainty. The input variables used are waste volume and COD reduction, while the output is the aerator's operating time. The results obtained in the system design can be applied properly and in accordance with the setting point with an average aerator operating time of 6.8 hours and can reduce the use of electrical energy by 38.2%.