Aim: The main aim of this paper is design smart traffic system to develop a dynamic road signal based on density. Study Design: The conventional traffic signal system is based on constant traffic management time, so we proposed a smart system using Arduino Mega and ultrasonic sensors where green signal times change automatically according to traffic density. Methodology: The performance of the proposed system is tested using Proteus simulator and a real model was designed. Resolute and conclusion: the simulation and experimental test rig have shown that this system can be implemented, as it has been able to change the green signal time according to congestion density while developing this system.
Aims: This paper presents the control of the output torque of SCIG using indirect vector control (IVC) technique. Study Design: IVC is very popular in industrial applications, which doesn’t rely on the measurement of the airgap flux because the devices that used to measure the air-gap flux is inaccurate in low speed. The IVC technique has been presented to control the torque of the generator and maintain the flux unchanged. Methodology: The performance of the proposed system is tested using MATLAB/SIMULINK. Results and Conclusion: Simulation results are introduced showing improvement control system performance.
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