This paper concerns the design and realization of a solar tracking system oriented to the PV conversion panels. In general, the electricity generated by the PV panels is influenced by the intensity of solar radiation and ambient temperature. They will generate maximum electrical power when the intensity of solar radiation received is also maximum, therefore the PV must be controlled so that its position is always perpendicular to the sun. The proposed single axis solar tracking system offers optimal energy conversion process of solar energy into electricity through appropriately orienting the PV panel in accordance with the real position of the sun. The mechanism of the experiment is based on a DC motor which is intelligently controlled by fuzzy logic controller that moves prototype according to the inputs received from LDR sensors. The performance of the solar tracking system is experimentally investigated. The designed system has power gain of 47% compared to the fixed system.
Safety is an essential requirement in the course of production in the industry. Security in the factory needs to be considered, especially against malicious nodes such as burner. In this research analysis to determine opportunities hazard that could happen to superheat burner. The magnitude of the risk of harm must be balanced with the security system (SIS). So the system superheat burner analyzed by the method HAZOP and SIL safety level calculated through the method of FTA. Based on research conducted in this thesis, superheat burner has a high danger risk (high risk) component TT-1005 and PT-1018. The level of security superheat burner classified SIL 1 with PFD 4.38x10-2, so do redesign the SIS to achieve SIL 2. PFD system of 0.0099 is achieved by adding 2 ESDV on line check fuel gas and purges gas and increase the pressure switch on each function pressure switch. (PSHH, PSL, PSLL).Â
The wind turbine is a tool used to convert wind energy into electrical energy. This research applies the maximum power point tracking (MPPT) algorithm combined with the fuzzy sliding mode control (FSMC) to produce maximum power in the wind turbine. Addition of fuzzy logic algorithm to sliding mode control to reduce the chattering phenomenon caused by the high switching frequency of the MOSFET in the boost converter. The permanent magnet synchronous generator (PMSG) type of generator with a capacity of 600 watts is used to convert the mechanical energy of the turbine into electrical energy. Tracing the maximum power value of the generator with the MPPT-FSMC algorithm in this study based on the value of the generator output voltage, generator output current, and converter output voltage obtained through simulations on MATLAB / SIMULINK. Comparison of wind turbine performance using MPPT-FSMC and without MPPT is shown as validation of improved wind turbine performance when using intelligent control algorithm.
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