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Introduction
Moez Boussada currently works at the Departement of electrical engineering and automation, National Engineering School of Gabes. Member of the laboratory "COntrol Numerique des PRocédés Industriels". Moez works in the fields touching Process control engineering, embedded systems. His current project is on 'nonlinear state estimation and chemical process control'
Current institution
Additional affiliations
August 2011 - January 2015
Education
September 1996 - July 2002
Publications
Publications (10)
![IPC-based MPPT Algorithm Comparison for WECS [15].](profile/Moez-Boussada/publication/382677143/figure/tbl1/AS:11431281263971937@1722366918530/IPC-based-MPPT-Algorithm-Comparison-for-WECS-15_Q320.jpg)
The research presented is driven by the global increase in wind power capacity and the commitment of the scientific community to facilitate its integration into electrical grids. The focus of this study is the modeling of a wind turbine system, beginning with its mechanical components. To ensure the production of power at optimal levels, a control...
This paper deals with the fault detection strategy used to ensure wind turbine reliability. The proposed approach is based on an Unknown Input High Gain Observer (UIHGO) for a class of nonlinear systems subject to actuator and sensor faults. Compared to some usually used algorithms, this method presents the benefits of reduced calculation time as w...
![Fig. 3. Global structure of the wind turbine model. [7]](profile/Ichrak-Zaid/publication/359970463/figure/fig3/AS:11431281199438413@1697626586985/Global-structure-of-the-wind-turbine-model-7_Q320.jpg)
![Fig. 4. illustrative diagram of the two-mass model [11]](profile/Ichrak-Zaid/publication/359970463/figure/fig4/AS:11431281199438414@1697626587477/llustrative-diagram-of-the-two-mass-model-11_Q320.jpg)
This paper deals with fault detection strategy used to
ensure wind turbine reliability. Based on unknown iput nonlinear
observer, the proposed approach have to estimate not only the full
system state but also some actuator faults that can be considered
as unknown inputs. Compared to some usually used algorithms,
this method is caracterized by calcu...
This paper present the esterification operation of an olive oil waste taking place in a Semi Continuous Stirred Tank Reactor (SCSTR). The plant model, presents a high level of non linearities and interconnections between states. The necessary steps required to move from differential algebraic model to a differential model is given. In this paper a...
In this study, we have developed a method of diagnosis based on high gain observers, for detecting faults of the actuators in a semi continuous chemical reactor. This algorithm has the advantage of detecting multiple faults simultaneously. The observer is constructed from a sub-model, one needs two observers which related to the number of actuator....
In this paper, a nonlinear high gain observer is developed to reconstruct the full state of an olive oil waste esterification process. This operation is taking place in a semi-continuous stirred tank reactor. The plant model, as most of the chemical processes, presents a high level of non linearities and interconnections between states. Most of the...
In this paper, two versions of nonlinear high gain observer are developed to reconstruct the full state of an olive oil waste esterification process. This operation is taking place in a Semi Continuous stirred Tank Reactor (SCSTR). The plant model, is one of the most important plants in chemical processes, presents a high level of non linearities a...
