Maximum Power Point Tracking Control Scheme for Grid Connected Variable Speed Wind Driven Self-Excited Induction Generator

Fayez F. M. El-Sousy,Mohamed Orabi,Hatem Godah 전력전자학회 2006 JOURNAL OF POWER ELECTRONICS Vol.6 No.1

This paper proposes a wind energy conversion system connected to a grid using a self-excited induction generator (SEIG) based on the maximum power point tracking (MPPT) control scheme. The induction generator (IG) is controlled by the MPPT below the base speed and the maximum energy can be captured from the wind turbine. Therefore, the stator currents of the IG are optimally controlled using the indirect field orientation control (IFOC) according to the generator speed in order to maximize the generated power from the wind turbine. The SEIG feeds a (CRPWM) converter which regulates the DC-link voltage at a constant value where the speed of the IG is varied. Based on the IG d-q axes dynamic model in the synchronous reference frame at field orientation, high-performance synchronous current controllers with satisfactory performance are designed and analyzed. Utilizing these current controllers and IFOC, a fast dynamic response and low current harmonic distortion are attained. The regulated DC-link voltage feeds a grid connected CRPWM inverter. By using the virtual flux orientation control and the synchronous frame current regulators for the grid connected CRPWM inverter, a fast current response, low harmonic distortion and unity power factor are achieved. The complete system has been simulated with different wind velocities. The simulation results are presented to illustrate the effectiveness of the proposed MPPT control scheme for a wind energy system. In the simulation results, the d-q axes current controllers and DC-link voltage controller give prominent dynamic response in command tracking and load regulation characteristics.

Assessment of Concrete Compressive Strength Prediction Models

Fayez Moutassem,Samir E. Chidiac 대한토목학회 2016 KSCE JOURNAL OF CIVIL ENGINEERING Vol.20 No.1

Theoretical and phenomenological models for predicting the compressive strength of concrete proposed in literature have been reviewed. The applicability and accuracy of these models in predicting the compressive strength of concrete at 28 days and at different ages were investigated using experimental data reported in the literature. Assessment of the models using visual display and numerical methods have revealed that the Average Paste Thickness (APT) compressive strength model, which accounts for the type of cement, cement degree of hydration, mixture proportions, aggregate proportions, gradations, packing density, and air content, provides the highest predictability at 28 days and at different ages. The assessment revealed that the majority of models give acceptable predictions because strength is mostly affected by water-to-cement ratio (w/c) in comparison to aggregates’ properties and gradation.

A Vector-Controlled PMSM Drive with a Continually On-Line Learning Hybrid Neural-Network Model-Following Speed Controller

Fayez Fahim El-Sousy 전력전자학회 2005 JOURNAL OF POWER ELECTRONICS Vol.5 No.2

A high-performance robust hybrid speed controller for a permanent-magnet synchronous motor (PMSM) drive with an on-line trained neural-network model-following controller (NNMFC) is proposed. The robust hybrid controller is a two-degrees-of-freedom (2DOF) integral plus proportional & rate feedback (I-PD) with neural-network model-following (NNMF) speed controller (2DOF I-PD NNMFC). The robust controller combines the merits of the 2DOF I-PD controller and the NNMF controller to regulate the speed of a PMSM drive. First, a systematic mathematical procedure is derived to calculate the parameters of the synchronous d-q axes PI current controllers and the 2DOF I-PD speed controller according to the required specifications for the PMSM drive system. Then, the resulting closed loop transfer function of the PMSM drive system including the current control loop is used as the reference model. In addition to the 2DOF I-PD controller, a neural-network model-following controller whose weights are trained on-line is designed to realize high dynamic performance in disturbance rejection and tracking characteristics. According to the model-following error between the outputs of the reference model and the PMSM drive system, the NNMFC generates an adaptive control signal which is added to the 2DOF I-PD speed controller output to attain robust model-following characteristics under different operating conditions regardless of parameter variations and load disturbances. A computer simulation is developed to demonstrate the effectiveness of the proposed 2DOF I-PD NNMF controller. The results confirm that the proposed 2DOF I-PD NNMF speed controller produces rapid, robust performance and accurate response to the reference model regardless of load disturbances or PMSM parameter variations.

A High-Performance Induction Motor Drive with 2DOF I-PD Model-Following Speed Controller

Fayez F. M. EI-Sousy 전력전자학회 2004 JOURNAL OF POWER ELECTRONICS Vol.4 No.4

A robust controller that combines the merits of the feed-back. feed-forward and model-following control for induction motor drives utilizing field orientation control is designed in this paper. The proposed controller is a two-degrees-of freedom (2DOF) integral plus proportional & rate feedback (I-PD) speed controller combined with a model-following (2DOF I-PD MFC) speed controller. A systematic mathematical procedure is derived to find the parameters of the 2DOF I-PD MFC speed controller according to certain specifications for the drive system. Initially. we start with the I-PD feedback controller design. then we add the feed-forward controller. These two controllers combine to form the 2DOF I-PO speed controller. To realize high dynamic performance for disturbance rejection and set point tracking characteristics. a MFC controller is designed and added to the 2DOF I-PD controller. This combination is called a 2DOF I-PD MFC speed controller. We then study the effect of the 2DOF I-PD MFC speed controller on the performance of the drive system under different operating conditions. A computer simulation is also run to demonstrate the effectiveness of the proposed controller. The results verify that the proposed 200F I-PO MFC controller is more accurate and more reliable in the presence of load disturbance and motor parameter variations than a 200F I-PO controller without a MFC. Also. the proposed controller grants rapid and accurate responses to the reference model regardless of whether a load disturbance is imposed or the induction machine parameters vary.<br/>

Robust Adaptive Wavelet-Neural-Network Sliding-Mode Speed Control for a DSP–Based PMSM Drive System

Fayez F. M. El-Sousy 전력전자학회 2010 JOURNAL OF POWER ELECTRONICS Vol.10 No.5

In this paper, an intelligent sliding-mode speed controller for achieving favorable decoupling control and high precision speed tracking performance of permanent-magnet synchronous motor (PMSM) drives is proposed. The intelligent controller consists of a sliding-mode controller (SMC) in the speed feed-back loop in addition to an on-line trained wavelet-neural-network controller (WNNC) connected in parallel with the SMC to construct a robust wavelet-neural-network controller (RWNNC). The RWNNC combines the merits of a SMC with the robust characteristics and a WNNC, which combines artificial neural networks for their online learning ability and wavelet decomposition for its identification ability. Theoretical analyses of both SMC and WNNC speed controllers are developed. The WNN is utilized to predict the uncertain system dynamics to relax the requirement of uncertainty bound in the design of a SMC. A computer simulation is developed to demonstrate the effectiveness of the proposed intelligent sliding mode speed controller. An experimental system is established to verify the effectiveness of the proposed control system. All of the control algorithms are implemented on a TMS320C31 DSP-based control computer. The simulated and experimental results confirm that the proposed RWNNC grants robust performance and precise response regardless of load disturbances and PMSM parameter uncertainties.

Vector Control of PMSM Drive with Continually On-Line Learning Hybrid Neural-Network Model- Following Speed Controller

Fayez F. M. El-Sousy 전력전자학회 2004 ICPE(ISPE)논문집 Vol.- No.-

A high-performance robust hybrid speed controller of permanent-magnet synchronous motor (PMSM) drive with on-line trained neural-network model-following controller (NNMFC) is proposed. The robust hybrid controller is a twodegrees- of-freedom (2DOF) integral plus proportional & rate feedback (I-PD) with neural-network model-following (NNMFC) speed controller (2DOF I-PD NNMFC). The robust controller combines the merits of the 2DOF I-PD controller and the NNMFC controller for PMSM drives speed control. First, a systematic mathematical procedure is derived to find the<br/> parameters of the d-q axes PI current controllers and the 2DOF I-PD speed controller according to the required specifications for the PMSM drive system. Then the resulting closed loop transfer function of the PMSM drive system including the current control loop is used as the reference model. To realize high dynamic performance in disturbance rejection and tracking characteristics, a neural-network model-following controller whose weights are trained on-line is designed in addition to the 2DOF I-PD controller. According to the modelfollowing error between the outputs of the reference model and the PMSM drive system, the NNMFC generates an adaptive control signal which is added to the 2DOF I-PD speed controller output to attain robust model-following characteristics under different operating conditions due to parameter variations and load disturbances. Computer simulation is developed to<br/> demonstrate the effectiveness of the proposed 2DOF I-PD NNMFC controller. The results confirm that the proposed 2DOF I-PD NNMFC speed controller grant a rapid, robust performance and accurate response for the reference model regardless of whether a load disturbance is imposed and PMSM parameters vary.

A Vector-Controlled PMSM Drive with a Continually On-Line Learning Hybrid Neural-Network Model-Following Speed Controller

Fayez F. M. El-Sousy 전력전자학회 2005 JOURNAL OF POWER ELECTRONICS Vol.5 No.2

A high-performance robust hybrid speed controller for a permanent-magnet synchronous motor (PMSM) drive with an on-line trained neural-network model-following controller (NNMFC) is proposed. The robust hybrid controller is a two-degrees-of-freedom (2DOF) integral plus proportional & rate feedback (I-PD) with neural-network model-following (NNMF) speed controller (2DOF I-PD NNMFC). The robust controller combines the merits of the 2DOF I-PD controller and the NNMF controller to regulate the speed of a PMSM drive. First, a systematic mathematical procedure is derived to calculate the parameters of the synchronous d-q axes PI current controllers and the 2DOF I-PD speed controller according to the required specifications for the PMSM drive system. Then, the resulting closed loop transfer function of the PMSM drive system including the current control loop is used as the reference model. In addition to the 2DOF I-PD controller, a neural-network model-following controller whose weights are trained on-line is designed to realize high dynamic performance in disturbance rejection and tracking characteristics. According to the model-following error between the outputs of the reference model and the PMSM drive system, the NNMFC generates an adaptive control signal which is added to the 2DOF I-PD speed controller output to attain robust model-following characteristics under different operating conditions regardless of parameter variations and load disturbances. A computer simulation is developed to demonstrate the effectiveness of the proposed 2DOF I-PD NNMF controller. The results confirm that the proposed 2DOF I-PD NNMF speed controller produces rapid, robust performance and accurate response to the reference model regardless of load disturbances or PMSM parameter variations.

A High-Performance Induction Motor Drive with 2DOF I-PD Model-Following Speed Controller

Fayez F. M. El-Sousy 전력전자학회 2004 JOURNAL OF POWER ELECTRONICS Vol.4 No.4

A robust controller that combines the merits of the feed-back, feed-forward and model-following control for induction motor drives utilizing field orientation control is designed in this paper. The proposed controller is a two-degrees-of-freedom (2DOF) integral plus proportional & rate feedback (I-PD) speed controller combined with a model-following (2DOF I-PD MFC) speed controller. A systematic mathematical procedure is derived to find the parameters of the 2DOF I-PD MFC speed controller according to certain specifications for the drive system. Initially, we start with the I-PD feed-back controller design, then we add the feed-forward controller. These two controllers combine to form the 2DOF I-PD speed controller. To realize high dynamic performance for disturbance rejection and set point tracking characterisitics, a MFC controller is designed and added to the 2DOF I-PD controller. This combination is called a 2DOF I-PD MFC speed controller. We then study the effect of the 2DOF I-PD MFC speed controller on the performance of the drive system under different operating conditions. A computer simulation is also run to demonstrate the effectiveness of the proposed controller. The results verify that the proposed 2DOF I-PD MFC controller is more accurate and more reliable in the presence of load disturbance and motor parameter variations than a 2DOF I-PD controller without a MFC. Also, the proposed controller grants rapid and accurate responses to the reference model, regardless of whether a load disturbance is imposed or the induction machine parameters vary.

Robust Tracking Control Based on Intelligent Sliding-Mode Model-Following Position Controllers for PMSM Servo Drives

Fayez F. M. El-Sousy 전력전자학회 2007 JOURNAL OF POWER ELECTRONICS Vol.7 No.2

In this paper, an intelligent sliding-mode position controller (ISMC) for achieving favorable decoupling control and high precision position tracking performance of permanent-magnet synchronous motor (PMSM) servo drives is proposed. The intelligent position controller consists of a sliding-mode position controller (SMC) in the position feed-back loop in addition to an on-line trained fuzzy-neural-network model-following controller (FNNMFC) in the feedforward loop. The intelligent position controller combines the merits of the SMC with robust characteristics and the FNNMFC with on-line learning ability for periodic command tracking of a PMSM servo drive. The theoretical analyses of the sliding-mode position controller are described with a second order switching surface (PID) which is insensitive to parameter uncertainties and external load disturbances. To realize high dynamic performance in disturbance rejection and tracking characteristics, an on-line trained FNNMFC is proposed. The connective weights and membership functions of the FNNMFC are trained on-line according to the model-following error between the outputs of the reference model and the PMSM servo drive system. The FNNMFC generates an adaptive control signal which is added to the SMC output to attain robust model-following characteristics under different operating conditions regardless of parameter uncertainties and load disturbances. A computer simulation is developed to demonstrate the effectiveness of the proposed intelligent sliding mode position controller. The results confirm that the proposed ISMC grants robust performance and precise response to the reference model regardless of load disturbances and PMSM parameter uncertainties.

Highly Precise Determination of Structural and Optical Parameters of an Innovative (PVA-VOCl) for Flexible Polymer-Semiconductor Devices

Fayez M. Ali,Fethi Maiz 한국고분자학회 2020 Macromolecular Research Vol.28 No.9

A novel polymer-semiconductor nanocomposites of polyvinyl alcoholoxovanadium chloride (PVA-VOCl) films have been successfully synthesized by the simple solution casting technique. XRD analysis of the prepared films confirms the formation of VOCl nanocrystals with different particle sizes distributed in the PVA polymer resulting in the increment in the crystalline phase of the whole structure of PVA-VOCl polymer nanocomposite. The Fourier transform infrared (FT-IR) spectroscopy measurements indicate the distribution of VOCl in the polymer matrix. The optical absorption spectra measurements exhibit a complete blocking of the UV range (200 - 400nm) due to VOCl dispersion in the polymer matrix. The optical gap E g of the films were determined with a high degree of precision using Tauc relation, Absorption spectra fitting and the new accurate geometric method show a strong decrease from 5.2 eV for pure PVA to 2.85 eV with increasing the VOCl level in the polymer film. In addition, the high-frequency refractive index estimated from the optical gap values exhibits a significant increase from 1.70 to 2.07. Our samples can be considered as an innovative flexible optical material for UV filters, optoelectronics, and photonics applications.