This paper presents a control called Maximum Power Point Tracking (MPPT) for photovoltaic (PV) system in a solar car. The main purpose of this system is to extracts PV power maximally while keeping small losses using a simple design of converter. Working principle of MPPT based fuzzy logic controller (MPPT-FLC) is to get desirable values of reference current and voltage. MPPT-FLC compares them with the values of the PV's actual current and voltage to control duty cycle value. Then the duty cycle value is used to adjust the angle of ignition switch (MOSFET gate) on the Boost converter. The proposed method was shown through simulation performed using PSIM and MATLAB software. Simulation results show that the system is able to improve the PV power extraction efficiency significantly by approximately 98% of PV's power.
Traffic lights have a vital role as regulatory systems to control the vehicles flowed in urban networks. This research is based on the real case. The traffic lights are installed at a massive intersection of an urban network consisting of four sections. The systems control implements the modification of the Norwegian traffic lights states. The behavior of traffic lights states were modeled using Petri net method. For the model verification and validation, the invariants and simulation were applied. The purpose of the implementation of this control system was to reduce travel delays. The intersection performance level was good while the average travel delay on all sections was low. The method used for the testing was the comparison of the simulation results due to the settings that apply the standard system to the imitation of the reality of the system using modifications of the Norwegian traffic lights states. The control system was able to reduce the travel delays slightly. The average of Level of Service (LoS) index of the roads for all sections was at level D. It improved the performance of the intersection, but not yet significant. In addition to setting traffic lights, the presence of flyovers is urgent to improve travel delays.
The government promotes rural infrastructure development through Village Fund Allocation (ADD). In the process of planning, development and reporting the village government is given the broadest authority. This authority requires the village government to have the ability to prepare a Budget Plan (RAB) and report on the use of funds. The ability of village communities in preparing Budget Plan for the Talud is still minimal and training is needed to improve their abilities. The results of this training are expected to be beneficial for the people of Tladan Village, Kawedanan District, Magetan regency so that the infrastructure development program in the village will run better and achieved good quality.
Mathematical modeling assumes that the vehicle’s volume has a uniform pattern. Due to traffic lightssettings, the number of vehicles queue grows linearly. The reality, the stochastic arrivals of the vehiclescould be (1) in the randomized arrivals, (2) in the form of groups/ platoon, or (3) in the mixed arrivals. Itis observed that the arrival of the vehicles in the queue tends to have a normal pattern. The objective ofthis research is to study the implications of the arrival categories to the travel delay. For simulation, ituses the numerical method referring to the real state. The result indicates that the calculations of thetravel delay become precise for all vehicles.
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