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In this work, we study the detection and estimation problem of sensor and actuator faults (SAF) for nonlinear systems represented by Takagi-Sugeno (T-S) fuzzy models subject to an Unknown Bounded Disturbance (UBD). Simultaneously, we study the estimation of the states. To do this, we design an adaptive descriptor observer to jointly estimate state and SAF vectors. This observer not only lead to estimate...
The actual paper study a new approach of stability analysis for polynomial fuzzy model (PFM) with delay time. We introduced a polynomial Lyapunov-Krasovskii function to explore the system stability. A new approach is procured to get a feasible solution, which can be solved via SOSTOOLS. Finally, the less conservativeness of the present result is illustrated by numerical examples.
In this paper, Fault Detection and Diagnosis (FDD) and Active Fault Tolerant Control (AFTC) algorithms are proposed to compensate for a ramp-type Loss-of-Effectiveness (LoE) actuator fault applied on the quadrotor system. Based on the Model-Free concept, an output estimator design called intelligent Output-Estimator (iOE) is presented to estimate the outputs of the system and then used to improve...
This paper presents a comparison between adaptive input-output linearization and adaptive fuzzy sliding mode control (FSMC) for induction motor. At first, we describe the adaptive linearization control method, which consists in the cancelling of the nonlinearities and decoupling between speed and flux of the system when Rr and TL are unknowns constants. The adaptive sliding mode control, which is...
This paper deals with the problem of stabilization and reference input tracking by fuzzy PDC controller of discrete Takagi-Sugeno (T-S) uncertain model of Buck converter by linear programming (LP) while imposing positivity in closed-loop. The stabilization conditions are derived using the single Lyapunov-Krasovskii Functional (LKF). Simulation results by linear programming methods are given to illustrate...
As an energy storage unit Lithium-ion batteries play an important role in More Electrical Aircraft and accurate knowledge of its behaviour and state of charge (SOC) are required to ensure the safety of the Aircraft Electrical System (AES) and its energy management. This paper details the conception of a 2nd order equivalent electrical circuit (EEC) battery model with SOC, current (magnitude and direction)...
In this paper, the Nonlinear Model-Free Observer (NMFO) is proposed to estimate the states of the quadrotor vehicle. NMFO is an integrated structure of the Model-Free technique and the nonlinear Thau observer. The Thau observer will accommodate for the nonlinearities in the quadrotor model and MFO will compensate for the un-modeled dynamics, modeling errors, and the system uncertainties. Flight test...
In this paper, we propose an unknown input estimation based sliding mode control (UIESMC) approach for air path in the EGR-VGT diesel engine. This proposed UIESMC controller is adopted to track the intake and exhaust manifold pressures, and compressor mass flow rate when under unknown inputs, which include the un-modeled dynamics, modeled parametric uncertainties and the unknown faults. These unknown...
This communication deals with the robust H∞ stabilization of the semilinear partial differential system using Lyapunov theory. The time derivative of this Lyapunov function can be made strictly negative definite by an appropriate choice of controls. In general, it is difficult to control partial differential systems. In order to simplify the design procedure of control law, a fuzzy partial differential...
In this paper we propose a nonlinear controller based on sum of squares decomposition applied to turbocharged diesel engine. The basic idea is to employ polynomial Lyapunov function in order to formulate the stability sufficient condition in the terms of state dependent matrix inequalities. The obtained controller gain guarantees the global convergence of the system and regulates the flows for the...
A continuous-discrete observer is designed to estimate the concentration of soluble biodegradable organic nitrogen, the biodegradable substrate and bounded disturbance in activated sludge processes. These observers combine a nonlinear Lipschitz continuous time dynamical model with discrete time output measurements. Assuming some persistent excitation conditions to hold and the sampling steps to satisfy...
This work deals with the problem of observer-based controller for diesel engines. The control objective is to regulate the intake and exhaust manifold pressures and the compressor power in a four-cylinder diesel engine in order to obtain low emissions and low fuel consumption. The considered mean value model of the air path system is rewritten as a nonlinear system with varying parameters. The proposed...
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