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Vol. 11, No. 4, November 2026 (Article in Progress)

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Power Management Solar-powered Mobile Robot using Interval Type 2 Fuzzy Logic Controller (IT2FLC) Method

https://doi.org/10.22219/kinetik.v11i4.2755
Richa Watiasih
Universitas Bhayangkara Surabaya
Hasti Afianti
Universitas Bhayangkara Surabaya
Arif Arizal
Universitas Bhayangkara Surabaya

Corresponding Author(s) : Richa Watiasih

richa@ubhara.ac.id

Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control, Vol. 11, No. 4, November 2026 (Article in Progress)

Abstract

Mobile robots used for outdoor surveillance require a reliable power source to supply energy to their components, enabling continuous operation without the need for battery replacement. Therefore, an intelligent power management system is essential for mobile robots that utilize solar energy. This study aims to evaluate the performance of solar panels as an energy source for battery charging and power management in such mobile robots. We propose a model of a solar-powered mobile robot system comprising four DC motors, batteries, a buck-boost converter, and solar panels. Battery performance is managed using an Interval Type-2 Fuzzy Logic Controller (IT2FLC). The simulation assesses solar panel output, battery performance, and power management under varying torque conditions for robot movement on flat, uphill, and downhill paths with slope angles of 10°, 20°, and 30°. The simulation results indicate that the maximum power, voltage, and current produced by the solar panel at an irradiance of 1000 W/m² and a temperature of 40°C are 22.71 W, 4.52 V, and 5.02 A, respectively. The State of Charge (SoC) and Depth of Discharge (DoD) are effectively regulated using IT2FLC, with a SoC set point of 50% helping to slow the decrease in battery capacity. The IT2FLC controller's performance strongly influences the solar-powered mobile robot's power management efficiency. Specifically, the robot achieves a power consumption efficiency of 62.02% on flat terrain, 67.82% when traveling uphill on a 10° slope, and 65.78% when moving downhill on a 10° slope.

Keywords

Solar-powered Mobile Robot Battery IT2FLC Power Management
Watiasih, R., Hasti Afianti, & Arif Arizal. (2026). Power Management Solar-powered Mobile Robot using Interval Type 2 Fuzzy Logic Controller (IT2FLC) Method. Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control, 11(4). https://doi.org/10.22219/kinetik.v11i4.2755
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