Speed tracking control performance with frequency and amplitude dependence

Jebri, Sabrine; Nouri, Khaled; Bouslimi, Lotfi

doi:10.1109/aset.2017.7983736

Cited by 3 publications

(1 citation statement)

References 18 publications

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“…In the electric drives systems, more than 70% of produced electrical energy is converted into mechanical energy. Therefore, a high energy efficiency of electric drives systems is demanded [1][2]. PMSMs (Permanent Magnet Synchronous Motors) gain more attention in variable speed drives due to their good efficiency, fast torque response, high power density, cooling, and lack of maintenance.…”

Section: Introductionmentioning

confidence: 99%

A New Study Performance Control of PMSMs: Validity Abacus Approach

Jebri¹,

Nouri²

2018

Adv. sci. technol. eng. syst. j.

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Though many PMSMs (Permanent Magnet Synchronous Motor) control approach have already been published, little endeavors have been invested in the study of speed tacking control with frequency or amplitude dependence. The use of NDI (Nonlinear Dynamic Inversion) tracking control in versus amplitude and frequency dependence is the major focus of this paper. The proposed tracking control demonstrates that NDI control presents the ability to track the desired output with high precision. PMSM outputs are characterized at different amplitude and frequency. The speed and the direct current versus amplitude and frequency are successfully extracted. A mathematical (d-q) of the permanent magnet synchronous motor model is also presented. A comparative study between desired data and simulation results is conducted. Important to note, the proposed model and the simulation results reflect a successful agreement as far as a amplitude and frequency dependence is concerned. A new validity approach, namely "Validity Abacus" is proposed and discussed.

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Section: Introductionmentioning

confidence: 99%

A New Study Performance Control of PMSMs: Validity Abacus Approach

Jebri¹,

Nouri²

2018

Adv. sci. technol. eng. syst. j.

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Advanced nonlinear method of a Photovoltaic system connected to the single-phase network

Bouchriha,

Ghanem,

Nouri

2021

2021 IEEE 2nd International Conference on Signal, Control and Communication (SCC)

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Optimization of the Sliding Mode Control (SMC) with the Particle Swarm Optimization (PSO) Algorithm for Photovoltaic Systems Based on MPPT

Bouchriha¹,

Ghanem²,

Nouri³

2022

Adv. sci. technol. eng. syst. j.

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Photovoltaic systems are classified as non-linear systems. On the other hand, the characteristics of photovoltaic cells are non-linear. For this reason, researchers use several methods of maximum power monitoring (MPPT) to improve the performance of photovoltaic system. It is therefore necessary to use an adaptation stage between the photovoltaic generator (GPV) and the load to take out at any time the maximum power available of the GPV and to transfer it to the load. This stage acts as an interface between the two elements by ensuring the transfer of the maximum power supplied by the generator using a control system used for this purpose. This work described a study on two Maximum Power Point Tracking (MPPT) techniques, classic sliding mode control (SMC) and particle swarm optimization (PSO) for controlled boost chopper. The decisive simulation results that by applying the PSO and the conventional SMC to a well-built model, the PSO achieves high precision results compared to the sliding mode control. In fact, we have suggested a new MPPT method based on the optimization of the command parameters in sliding mode by the PSO optimization algorithm.

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Speed tracking control performance with frequency and amplitude dependence

Cited by 3 publications

References 18 publications

A New Study Performance Control of PMSMs: Validity Abacus Approach

A New Study Performance Control of PMSMs: Validity Abacus Approach

Advanced nonlinear method of a Photovoltaic system connected to the single-phase network

Optimization of the Sliding Mode Control (SMC) with the Particle Swarm Optimization (PSO) Algorithm for Photovoltaic Systems Based on MPPT

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