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Fixed-time Distributed Voltage and Reactive Power Compensation of Islanded Microgrids Using Sliding-mode and Multi-agent Consensus Design

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Journal of Modern Power Systems and Clean Energy 2022年第1期10卷 232-240页

作者： mohamed Ghazzali mohamed haloua Fouad Giri Electrical Engineering Department Mohammadia School of EngineersUniversity Mohammed VRabatMorocco Caen Automation Laboratory(LAC) Caen Normandie University(UNICAEN)CaenFrance

This paper investigates a fixed-time distributed voltage and reactive power compensation of islanded microgrids using sliding-mode and multi-agent consensus design.A distributed sliding-mode control protocol is proposed to ensure voltage regulation and reference tracking before the desired preset fixed-time despite the unknown *** reactive power sharings among distributed generators are *** secondary controller is synthesized without the knowledge of any parameter of the *** is implemented using a sparse one-way communication network modeled as a directed graph.A comparative simulation study is conducted to highlight the performance of the proposed control strategy in comparison with finite-time and asymptotic control systems with load power variations.

关键词： Secondary controller microgrids reactive power control voltage control

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LMI solutions for H-two and H-infinity decentralized controllers applied to an aerothermic process

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控制理论与应用（英文版） 2013年第2期11卷 247-254页

作者： Najib BENNIS Mustapha RAMZI mohamed haloua Hussein YOULAL ENSET de Rabat Avenue de l'Arme'e Royale Madinat Al Irfane 10100 B. P. 6207 Rabat-InstitutsMorocco LASTIMI EST de sale' Universite' Mohamed V Agdal Avenue Prince sidi Mohammed B.P 227 Sale' Me'dinaMorocco EMI Avenue IbnSina B. P. 765 Agdal RabatMorocco UFR Automatique et Technologies de l'Information Faculte' des Sciences de Rabat Avenue Ibn Batouta B. P. 1014 RabatMorocco

In this paper, we present a linear matrix inequality （LMI）-based solution to implement H-two and H- infinity decentralized robust control strategies. Appropriate parametrization of optimal H-two and H-infinity controllers is used. The general formulation of the decentralized control design leads to the optimal determination of both the state feedback gains and the observer gains of the decentralized controllers. This formulation is two folds： first, a centralized controller is obtained, and then, a simplified decentralized solution is derived by optimizing only the observer gains. The mathematical determination of these gains is formulated as an LMI optimization problem that can be easily solved using LMI solvers. As an experimental evaluation of these controllers, a real time application to an aerothermic process is carried out. A continuous-time model of the process obtained with a suitable direct continuous-time identification approach is elaborated. Results illustrating the real performance obtained from the H-two and H-infinity decentralized controllers are di^cu^ge.d and comnare, d with th~ ce^ntraliTed nn^g

关键词： Parametrization approach Decentralized control H-two/H-infinity control Parameters optimization Lin-ear matrix inequality (LMI) Subspace identification Aerothermic process

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State Space Model Predictive Control of an Aerothermic Process with Actuators Constraints

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Intelligent Control and Automation 2012年第1期3卷 50-58页

作者： Mustapha Ramzi Hussein Youlal mohamed haloua ASTIMI Laboratory High School of Technology Université Mohammed V Agdal Rabat Morocco Automatic Laboratory Mohammadia School of Engineering Rabat Morocco UFR Automatic and Information Technologies Faculty of Science Rabat Morocco

This paper investigates State Space Model Predictive Control (SSMPC) of an aerothermic process. It is a pilot scale heating and ventilation system equipped with a heater grid and a centrifugal blower, fully connected through a data acquisition system for real time control. The interaction between the process variables is shown to be challenging for single variable controllers, therefore multi-variable control is worth considering. A multi-variable state space model is obtained from on-line experimental data. The controller design is translated into a Quadratic Programming (QP) problem, in which a cost function subject to actuators linear inequality constraints is minimized. The outcome of the experimental results is that the main control objectives, such as set-point tracking and perturbations rejection under actuators constraints, are well achieved for both controlled variables simultaneously.

关键词： Multi-Variable Control Aerothermic Process Actuators Constraints Process Identification State Space Model Predictive Control

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