Improvement of the linear quadratic regulator control applied to a DC-DC boost converter driving a permanent magnet direct current motor

This article discusses a new robust control technique that enables the DC-DC boost converter driving a permanent magnet direct current (PMDC) motor to operate in high static and dynamic performances. The new technique is based on the design of a both linear quadratic regulator (LQR) and linear quadratic regulator-proportional integral (LQR-PI) type controllers, which have the advantage of eliminating oscillations, overshoots and fluctuations on different characteristics in steady-state system operation. In order to increase the output voltage, the LQR regulator is combined with a first-order system represented in the form of a closed-loop transfer function, the latter raising the output voltage to 24 volts, this voltage is enough to drive the permanent magnet direct current motor. The contribution of this paper is the creation of a robust control system represented in the form of a hybrid corrector able to regulate steady-state and transient disturbances and oscillations as well as to increase DC-DC boost converter output voltage for the PMDC motor to operate at rated voltage. The results of the three control techniques are validated by MATLAB Simulink

Backsepping-Based NSGA for Greenhouse Control with Real Weather Data

ISSN 1974-6059National audienceno abstrac

Climatic Parameters Control-Based Decision Analysis to Improve Greenhouse Crops

International audienc

Adaptive sliding mode estimation of state of charge implemented on a field programmable gate array Spartan‐6 Xilinx device

International audienceThis paper presents the implementation of adaptive sliding mode estimation (ASME) of the state of charge of a battery on a field programmable gate array (FPGA). The study is conducted in two steps: in the first step, we design an adaptive sliding mode observer by taking into account an electrical equivalent circuit describing the battery's behavior and identify the parameters of this equivalent circuit by using the recursive least squares estimation method. In the second step, we study the implementation of this ASME on an FPGA card

Smart Autonomous Greenhouse Design Modeling and Simulation as a Variable Structure Automatic System

International audienceThis paper describes our project to design a Smart Autonomous Greenhouse (SAG) and proposes a methodology of modeling suitable for simulation, analysis and control. This kind of Systems permanently interact with its environment. The smart greenhouse is equipped with a distributed control system using IoTs, wireless-sensors and actuators. We propose a Variable Structure and Switched System Models (VSAS) class for a robust modeling and control approach. VSAS models allow us to develop a Virtual Twin of the Smart Connected Greenhouse

General methodology

Abdelnour, G. A., Abouchedid, K., Aguayo, M., Bakkali, M., Baroud, F., Belhani, A., ... Ykhlef, N. (2017). Introduction. In J. B. Govantes Romero, & E. Mellado Durán (Eds.), EURO-MEDITERRANEAN INTEGRATION THROUGH LIFELONG LEARNING (EU-MILL): A memory of cooperation and dialogue on Education in the Mediterranean basin (pp. 19-47). (Divulgación Científica). Universidad de Sevilla. https://doi.org/10.12795/9788447221042publishersversionpublishe