The aim of this study is to provide a full comprehensive the singular linear parameter‐varying (LPV) systems and observer synthesis in real process. states unknown inputs estimation problem for binary distillation column solved by using an LPV proportional‐integral (PI‐Observer). A model process developed. This facilitates design PI‐Observer systems. proposed tested experimental data separating ethanol–water mixture. results indicate that able accurately reconstruct product composition dynamics

This paper addresses the modeling and control of air path system diesel engines. We propose robust for engine equipped with Exhaust Gas Recirculation (EGR) Variable Geometry Turbocharger (VGT) systems. The goal is to carefully flow a reduce emissions pollutant particles fuel consumption. A mean value model loop considered rewriten using fuzzy Takagi-Sugeno (TS) approach. strategy based in Lyapunov function pole placement LMI regions (Linear Matrix Inequalities) developed. It takes into...

This paper presents a multi-objective energy management system (EMS) to manage the power dispatch of hybrid plant (HPP), consisting grid-connected wind farm and Li-ION battery storage on island Guadeloupe’s electrical grid. Via controller based Model Predictive Control (MPC), EMS solves problem optimization by considering production forecast data managing several operation rules, which ensures meet targets considered for sustainable dispatching plan. The proposed strategy is tested in...

This article presents the design and control of a two-link lightweight robotic arm using shape memory alloy wires as actuators. Both single-wire actuated system an antagonistic configuration are tested in open closed loops. The mathematical model wire, well kinematics dynamics arm, presented. operational space is performed joint inner loop closed-loop inverse outer loop. In order to choose best approach, comparative study four different approaches (proportional derivative, sliding mode,...

This paper presents a new approach to represent the glucose and insulin levels on patients with diabetes type 1 based well-known minimal model. In this work mathematical model is proposed which attempts modeling properly malfunction of pancreas. The takes into account both: description level in subcutaneous layer meal disturbance term. Further, also has an additional term that represents more realistic approach. silico simulations are used for first evaluations effectiveness, considering...

In this work a Parallel Distributed Compensation (PDC) Fuzzy controller is applied to regulate the intake and exhaust manifold pressures in four-cylinder diesel engine with Exhaust Gas Recirculation (EGR). The control strategy implements feedback that generates commands mass flow rates force two internal variables (pressures) follow reference. PDC-Fuzzy based on structure of Takagi-Sugeno (TS) descriptor model, which permits represent adequately nonlinear multivariable process taking into...

In this paper, an energy management system (EMS) of a grid-connected hybrid system, based on MPC methodology is presented. This approach control the storage model, which predicts future output behavior handling power balance between electricity supplied by plant and demand. EMS aims to minimize consumption from grid producing consuming as much possible renewable energy. To comply this, combines photovoltaic panels (PV), Li-Ion batteries chain hydrogen (fuel cell, electrolyzer tank). The...

In this paper, an energy management system (EMS) based on model predictive control (MPC) and quadratic programming (QP) is presented. The strategy manages the power performance of island grid-connected hybrid plant composed by a wind conversion (WECS) LiION battery storage (BESS). should inject into grid continuously, subject to commitment band previously fixed. For this, proposed EMS handles efficiently battery's charge/discharge cycles state-of-charge (SoC) meet generation commitments...

In this paper a type of proportional integral fuzzy observers (PI-Fuzzy Observer) based on Takagi-Sugeno Fuzzy (TS-Fuzzy) Descriptor models is proposed with application in real system. The state and unknown input estimation problems for diesel engine air-path system solved by using PI-Fuzzy Observer. approach offers all the degrees observer design also, sufficient stability conditions gains that are obtained starting from theory linear matrix inequalities (LMIs). A TS-Fuzzy descriptor model...

A meal-estimation algorithm is developed based on an extended mathematical model of the glucose-insulin system. The proposed describes dynamics glucose levels in blood and subcutaneous layer, as well meal intake which considered unknown input This seeks to represent a more realistic manner, pancreas malfunction patients with Type 1 Diabetes Mellitus. Based model, non-linear high gain observer (NHGO) sliding mode designed order estimate unmeasured states external disturbances scheme useful...

Abstract In this paper a high‐gain observer used to estimate the product compositions in distillation column for non‐ideal mixture (ethanol–water) through tray temperature measurements is presented. The design of based on simplified mathematical model. One main advantages its constant gain, therefore tuning depends only choosing few parameters satisfying some simple algebraic inequalities. effectiveness proposed method demonstrated on‐line experiments pilot plant. Copyright © 2009 Curtin...

SUMMARY In this work, a generalized design scheme for the output feedback regulation of special type systems with bounded inputs is proposed. It gives rise to simple dynamic controller that guarantees objective avoiding input saturation, any initial condition within specific set may comprehend whole state space and does not require additional system data (apart from variable). Several processes, like double‐pipe heat exchangers, bioreactors, binary distillation columns, are shown be part...

In this article a continuous-discrete high-gain observer is presented to estimate the molar compositions in distillation column for Ethanol-Water mixture, by using measurements of temperatures its plates. One main advantages constant gain, which why tuning depends only on choosing parameters that must satisfy some simple algebraic inequalities. The presents good pursuit process dynamics spite less data than purely discrete observer. effectiveness proposed method demonstrated experimental data.

In this article a continuous-discrete high-gain observer is presented to estimate the molar compositions in distillation column for Ethanol-Water mixture, by using measurements of temperatures its plates. One main advantages constant gain, which why tuning depends only on choosing parameters that must satisfy some simple algebraic inequalities. The presents good pursuit process dynamics spite less data than purely discrete observer. effectiveness proposed method demonstrated experimental data.

Faults on photovoltaic (PV) systems can drastically degrade Microgrids reliability, and stability, if not promptly detected. Thus, a novel Fault Detection Diagnosis (FDD) methodology is proposed for online monitoring of PV system DC side. This method based multiple non-linear regression to emulate the behavior at different weather conditions precisely. The formulated relationship characteristics maximum operating point without irradiation sensors. Then, restrain uncertainties measurement...

Solar energy is widely recognized as one of the primary renewable sources. However, efficiency and reliability Photovoltaic (PV) systems can be significantly impacted by faults. For these reasons, it paramount to Continuously monitor PV health state ensure optimal performance. In this context, paper introduces a robust estimation model using an Artificial Neural Network (ANN) accurately predict three diagnosis indicators: power (P), current (I), voltage (V). These indicators play vital role...

A H∞ robust adaptive nonlinear observer for state and parameter estimation of a class Lipschitz systems with disturbances is presented in this work. The objective to estimate parameters monitor the performance processes model uncertainties. behavior presence analyzed using Lyapunov stability theory by considering an criterion. Numerical simulations were carried out demonstrate applicability semi-active car suspension. performed well estimating tire rigidity (as unknown parameter) induced...

This paper proposes a model-based fault diagnosis scheme for grid-connected photovoltaic systems with distributed maximum power point tracking (MPPT) strategy. Specifically, short-circuit switch faults in optimizers (boost dc/dc converters series connection MPPT purposes) are considered this study. Depending on the application, SCFs can be more or less detrimental to stability and integrity of systems. In high penetration, disturbances voltage frequency generated that can, worst case, cause...

This paper presents a Model Predictive Control-based Energy Management System for compliance with the day-ahead power dispatching plan of hybrid plant connected to Guadeloupe Island electrical grid. The combines wind farm and Li-ION battery energy storage system. proposed EMS handles several operation rules, in order solve optimization problem while considering production forecasting data as well lifespan. A simulation study is implemented via PowerFactory Matlab.

This work presents the design of an adaptive observer for a class Lipschitz nonlinear systems, where is able to estimate more than one unknown parameter. Thanks this, it possible system states, which facilitates monitoring systems. The proposed tested semiactive suspension, in order know stiffness parameters tire and chassis, allowing detection anomalies system. To ensure stability, gains are calculated by LMI obtained Lyapunov analysis. evaluated estimating states mechanical its performances.