Application of Feedback Linearization in Adaptive Controller Design

This paper presents a method to convert the non-linear dynamics of a system into their reformulated linearized forms using feedback linearization. The proposed technique allows to transform the non-linear model of a system into a nth order integrator form whose performance can be controlled. The process of feedback linearization has been applied to non-linear models of dispersed generator (DG) units and robotic agents to design an adaptive secondary control scheme for an AC microgrid disconnected to the main grid and a team of robotic agents, respectively. A detailed case study with a deep simulation has been done to confirm the effectiveness of the linearization technique and the adaptive control scheme. A comparative analysis has been also done between the proposed adaptive control scheme and the conventional cooperative control scheme for DG-based islanded AC microgrid to further demonstrate the effectiveness of adaptive design of the controller.