A Novel Fuzzy-BELBIC Structure for the Adaptive Control of Satellite Attitude

Abstract

The performance of the satellite not only relies on environmental factors but also is impacted by internal disturbances. The influential factors complicate the design of accurate controllers for attitude adjustments. The proposed research addresses this control problem by introducing a Brain Emotional Learning Based Intelligent Controller (BELBIC) tuned by a fuzzy inference system. Here, the learning weights and the gain inputs of the BELBIC are adjusted using a fuzzy inference system. In contrast, the initial parameters of the fuzzy inference system are adapted through the whale optimization algorithm. We validate and evaluate the performance of the proposed intelligent controller utilizing simulation studies. The results demonstrate the applicability and satisfactory performance of the proposed controller compared to the PID-BELBIC.