Browsing by Author "Salomon Zerihun"

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    The Design of a Fuzzy Sliding Mode Controller for CubeSat’s Attitude Determination and Control System (ADCS)
    (Addis Ababa University, 2026-01) Salomon Zerihun; Chala Merga (Asst. Prof.)
    This paper is about designing and analyzing a fuzzy sliding mode controller and its for the attitude determination and control system in CubeSats. CubeSat’s being small and lightweight satellites, require robust and efficient attitude control to ensure proper orientation for mission critical operations such as communication, imaging, and power generation. Traditional Sliding Mode Control is well robustness against disturbances and uncertainties; however, it suffers from chattering, which can induce high oscillations and excessive wear on actuators. To address these challenges, this study integrates fuzzy logic with SMC to design a FSMC that mitigates chattering while preserving the robustness of the SMC. The proposed FSMC works fuzzy logic to dynamically adjust the sliding surface parameters and control gains, enhancing adaptability and reducing the negative impact of external disturbances. The design process includes modeling CubeSat’s rotational dynamics, developing sliding mode controller, and incorporating fuzzy rules to fine-tune the control actions. The performance of the FSMC is evaluated through simulations under various operating conditions, including different initial attitudes, external disturbances and Compare with PID Controller. Results demonstrate that the FSMC provides improved attitude control performance with reduced chattering, enhanced robustness, and better disturbance rejection capabilities compared to conventional control methods such as Compare with PID Controller. The FSMC is designed using a sliding mode control technique based on fuzzy logic, addressing challenges in nonlinear system stability. The sliding surface is design using error dynamics and a reference trajectory, providing a reliable control method. The FSMC mitigates the downsides of traditional sliding mode controllers by stabilizing the state trajectory on the sliding surface. The study concludes that the FSMC is effective solution for CubeSat attitude control, combining the benefits of fuzzy logic and sliding mode control to meet the stringent requirements of space missions.