Takagi-Sugeno fuzzy observer and predictive control for a diesel engine air path

Abstract

This paper focuses on a fuzzy predictive control algorithm (FPCA) for a diesel engine air path (DEAP) system subject to a leakage. A Takagi-Sugeno (T-S) fuzzy model describes the behaviour of the healthy nonlinear system. FPCA is designed to accommodate and tolerate the unexpected intake leakages. Model predictive control (MPC) solves an optimisation problem to achieve desired set points and control objectives. T-S observers provide an L2 norm estimation of system state vector and leakages. Observers' gains are obtained by solving a linear matrix inequalities (LMIs) derived from the Lyapunov theory. The validity of the proposed fault tolerant control (FTC) strategy is illustrated through an application to a DEAP system.