Fault Hiding Procedure for Affine Nonlinear Multi- Agent Systems based on Adaptive Virtual Actuator: Application to Microgrid Systems

Abstract

Abstract This approach develops an Adaptive fault hiding process for affine nonlinear multi-agent systems. This approach has the capability to hide the faults and external disturbances effects to guarantee the asymptotic consensus of the nonlinear dynamics in the occurrence of actuator faults, uncertainties. This methodology does not involve the separated fault detection, isolation, and identification unit to reduce the amount of computer computing. Compared to the recent researches concentrate on systems with constant input gain, the recommended policy investigates systems with nonlinear input gain as more general systems. The focal evidences of the suggested technique are 1) Making the closed loop system stable 2) Convergence the faulty systems to nominal ones in presence of faults and external disturbances, 3) convergence of the followers to the leader, and 4) robustness of the overall system. To validate the proposed methodology, this is applied on synchronous generators (SGs) in a micro-grid systems. Simulations demonstrate the effectiveness of planned fault tolerant control.