Fault-tolerant control on three-tank system using fuzzy brain emotional learning controller

Abstract

In this paper, the proposed a fuzzy brain emotional learning controller (FBELC) network is presented as a method for fault-tolerant control. The FBELC network approximates the unknown fault-induced dynamics and system uncertainties. Fault-tolerant control is considered for nonlinear systems subject to a single incipient fault, a single abrupt fault, and the simultaneous occurrence of incipient and abrupt faults. The proposed algorithm contains a nominal controller based on sliding-mode control and a corrective controller based on FBELC. Finally, the FBELC method is applied to a nonlinear three-tank system to verify its effectiveness.