Control System Development of Unmanned Surface Vehicles (USVs) with Fuzzy Logic Controller

Water is one of the key resources utilized by agriculture. It is generally sourced from surrounding water sources including lakes, streams, rivers, and reservoirs. Ecosystems, food chains, and human health can all be significantly impacted by pollution in surface water sources. Monitoring water quality and acting before pollutants build up are therefore essential. Insufficient workloads are an additional problem that the agricultural sector still challenges. To solve this problem, a continuous water quality monitoring unmanned surface vehicle (USV) has been developed. To maneuver USV, a reliable and stable maneuvering control system is necessary. Designing a motion driver for USVs has proven challenging due to the complexity and nonlinearity of USV dynamics. In this study, we use a fuzzy logic controller to develop a control system for a USV. The controller’s settings are meticulously tuned to deliver optimal performance during the development process and adopted in a microcontroller to be used in real-time. The system is then tested in both the pool and lake. The test results demonstrate that the control system is successful in guiding the USV. This represents a crucial point for the control system of the developed USV.