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In this paper, the performance of the DC-DC converter is assisted by MPPT control in a comparison between Perturb & Observe (P&O) and Incremental Conductance (IC) using the Simulink Support Package for Arduino Hardware. In photovoltaic systems, the maximum power point tracking needs to be powered by PV panels. A microcontroller controls the power converter. Before it is designed, the system is first modeled and simulated using MATLAB/Simulink. The control software implements a pulse-width modulation signal generator embedded in the Arduino microcontroller. The many stages of design for these controllers are discussed, along with simulation and experimentation. The system is tested, and the irradiance varies from 500 w/m2 to 1000 w/m2. The results of this simulation and experiment show that the plan with MPPT and a P&O controller has a higher efficiency of PV power production.

This article describes an experimental investigation into the head tracking and control of a four-wheeled Omni-Robot. This study described the control scheme of the omnidirectional mobile robot. Additionally, the kinematics of the mobile robot is presented., A mobile robot with four Omni wheels was also developed on real hardware to verify the controller architecture design. The robot system is modeled and then implemented with the Arduino Microcontroller. This robot has two rotary encoders for running on the x-axis and y-axis, respectively. The gyro sensor (MPU-6050) is placed in the robot's middle and tracks data obtained by yaw angle. MATLAB Simulink was used to find the PD controller based on manual adjustment. The control architecture was deployed to complete and run the experiment on the mobile robot to evaluate the outcomes. The experiment results show the robot's motion control improvement in various scenarios.