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This paper deals with Wind Energy Conversion System (WECS) control equipped by Doubly-Fed Induction Generator (DFIG). Based on variable speed wind turbine and aerodynamic torque estimation, high order sliding mode controller is developed to improve the dynamic performances of WECS by producing the required electromagnetic torque generator. The desired DFIG torque is directly tracked using the proposed...
This paper is concerned with the delay dependent H∞ filtering problem for discrete-time linear systems with quantized measurements and time varying delay. The measurement signal is quantized by a logarithmic quantizer, and the time-varying delay is unknown with given lower and upper bounds. Our main objective is to design a stable filter that guarantee the filtering error system to be asymptotically...
This paper focuses on the synthesis of adaptive fuzzy fault tolerant controller which combines a sliding mode controller and a Proportional Integral controller (PI) for a class of MIMO underactuated nonlinear systems with external disturbances. The proposed control law treats the underactuated systems on their original non square form without squaring them by adding or eliminating variables. The uncertain...
This paper presents a PI-fuzzy controller (PIFC) for an energy storage application based on a 28V Li-ion battery. The battery is fed by an isolated bidirectional Phase-Shifted (PS) Dual Active Bridge (DAB) DC-DC converter (270V/28V, 5kW). The main contribution of this work is the application of the closed-loop fuzzy control system to the DAB converter and the stability analysis that has been carried...
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...
We develop an optimization algorithm in order to improve the nonlinear optimal robust controller for diesel engine which equipped by Exhaust Gas Recirculation and Variable Geometry Turbocharger systems. For this goal we present a new way to search the optimal shape of control Lyapunov function which permits to calculate the parameters to achieve stabilization and optimal control criteria. The idea...
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.
This paper deals with the problem of asymptotic stability of switched TS fuzzy system with multiple delays in discrete-time. New algebraic criteria are suggested independently on the size of the multiple delays. Our analysis is based on the Gershgorin's disc Theorem, a-transformation and permutation matrix methods. The main advantage of these methods is that it avoids the issue of computations complexity...
Advanced Modeling Environment for performing Simulations of engineering systems (AMESim) is a multi-domain software that allows interconnection between different type of physical systems. It also allows to reproduce their dynamic behaviors under various scenarios and to analyze their operation. In this paper, AMESim software is introduced in order to validate the developed control laws. In fact, an...
This work investigates the problem of state controller synthesis of switched system with time-varying delay. Based on Lyapunov-krasovskii technique and the average dwell time approach (ADTA), a switched state feedback controller is created such that the system is exponentially stable and a weighted La-gain is accomplished. By solving a set of linear matrix inequalities (LMIs), controller parameters...
This paper investigates stabilization for a class of uncertain discrete-time switched TS fuzzy systems with with time-varying delays. By using Gershgorin's disc theorem, a new delay-independent criteria for time-delay systems are established to design a state feedback controller by using induced norm control, which guarantee that the corresponding closed-loop system is robustly asymptotically stable...
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 studies the stabilization problem of large scale nonlinear systems described by the interconnected T-S fuzzy-models by using an integral Lyapunov functional and adding appropriate slack variables. Simulation examples are presented to illustrate the proposed stabilization techniques.
This paper deals with the problem of stability and stabilization of Takagi-Sugeno (T-S) fuzzy systems with fixed delay. Using linear programming (LP) technique and by imposing positivity constraint for the closed-loop system. new delay-independent stabilization conditions are derived. using a new single Lyapunov-Krasovskii Functional (LKF). A real plant model is studied to show the applicability of...
In this paper, Fault Diagnosis and Fault Tolerant Control algorithms are proposed to compensate for a bias type sensor fault applied on the quadrotor vehicle. A novel output estimator design called intelligent Output-Estimator (iOE) is introduced to detect and isolate the sensor fault. The estimation of the fault magnitude is done through a proposed structured algorithm that senses the maximum error...
This paper deals with the active control in vehicle to improve the safety and its stability. Vehicle model based on roll, yaw and lateral dynamics is used. The vehicle dynamics is represented by a LPV (Linear Parameter Varying) and the corresponding state-space model is affected by both polytopic and norm-bounded uncertainties. It is aimed to compute K, associated with the static output feedback,...
This paper investigates the stability problem of large scale nonlinear systems described by the interconnected T-S fuzzy-models. Using an integral Lyapunov functional and adding slack variables, less conservative stability conditions derived in LMIs terms are proposed. Simulation examples are presented to illustrate and to compare the effectiveness of the proposed stability techniques.
This paper considers the H∞ filtering for nonlinear discrete-time systems in the Takagi-Sugeno (T-S) fuzzy model. The approach is based on the fuzzy filters in Finite Frequency (FF) domain. The objective is to propose a new design with sufficient condition via LMI formulations. Less conservative results are obtained by introducing slack matrices. This method provides extra degree of freedom in optimization...
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...
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