International Science and Technology Journal

Feedback linearization is a valuable method utilized in control systems to convert the dynamics of nonlinear systems into a linear format, simplifying their analysis and control. However, managing highly nonlinear systems can be both challenging and complex. This paper seeks to address this challenge by proposing an enhanced approach to the feedback linearization technique. To improve the feedback linearization tracking control of multi-input multi-output (MIMO) nonlinear systems, the paper investigates two primary strategies. The first strategy involves adjusting control gains mathematically along with other parameters to optimize control performance, enabling precise tuning of the system's behavior and response to achieve specific objectives. The second strategy focuses on evaluating the performance of feedback linearization control through simulations across various scenarios, disturbances, and reference inputs. By conducting these simulations, researchers can thoroughly examine how the system behaves and performs under different conditions. It is essential to maintain system stability throughout these adjustments and simulations. The paper examines two feedback linearization techniques: input-output linearization and input-state linearization. Each method provides distinct advantages and trade-offs depending on the system's characteristics and control objectives. By applying these techniques, the goal is to achieve the desired tracking performance and behavior of a nonlinear system with three inputs and three outputs, which serves as the primary application in this work................ Keywords:...........Linear Systems, Nonlinear Systems, Tracking Control, Feedback MIMO Systems, Stability Concept, Environmental Disturbances, Control Optimization.