Ahmed Dabroom - Academia.edu (original) (raw)

Papers by Ahmed Dabroom

IEEE Transactions on Automatic Control, 2001

This paper studies sampled-data control of nonlinear systems using high-gain observers. The obser... more This paper studies sampled-data control of nonlinear systems using high-gain observers. The observer is designed in continuous time, then discretized using three different discretization methods. Closed-loop analysis shows that the sampled-data controller recovers the performance of the continuous time controller as the sampling frequency and observer gain become sufficiently large. The theory is illustrated by experimental results.

The use of artificial neural networks (ANNs) in power system problems is increasing attention due... more The use of artificial neural networks (ANNs) in power system problems is increasing attention due to their ability to learn and handle the nonlinearities and uncertainties of the systems. Since the last decade, different ANNs identification and filtering techniques have been applied in power systems and adaptive linear neuron networks (ADALINE) are actually widely used. More recently artificial neural networks have been introduced as a complement or an alternative to traditional control algorithms. The use of neural networks in control applications including process control, robotics, industrial manufacturing and aerospace applications, among others has recently experienced rapid growth. This paper proposes a new control method for shunt active power filter, which is based on ANN. An adaptive linear neuron (ADALINE) will be presented to estimate the reference compensation currents. The resultant compensation currents eliminate harmonics and reactive power compensation with a quick d...

ERJ. Engineering Research Journal

The use of artificial neural networks (ANNs) in power system problems is increasing attention due... more The use of artificial neural networks (ANNs) in power system problems is increasing attention due to their ability to learn and handle the nonlinearities and uncertainties of the systems. Since the last decade, different ANNs identification and filtering techniques have been applied in power systems and adaptive linear neuron networks (ADALINE) are actually widely used. More recently artificial neural networks have been introduced as a complement or an alternative to traditional control algorithms. The use of neural networks in control applications including process control, robotics, industrial manufacturing and aerospace applications, among others has recently experienced rapid growth. This paper proposes a new control method for shunt active power filter, which is based on ANN. An adaptive linear neuron (ADALINE) will be presented to estimate the reference compensation currents. The resultant compensation currents eliminate harmonics and reactive power compensation with a quick dynamic response. Theortical and expermental results in a good agreement.

Int J Contr, 1999

Page 1. Discrete-time implementation of high-gain observers for numerical di erentiation AHMED M.... more Page 1. Discrete-time implementation of high-gain observers for numerical di erentiation AHMED M. DABROOM{* and HASSAN K. KHALIL{ High-gain observers have been used in non-linear control to estimate derivatives of the output. ...

SBMO/IEEE MTT-S International Conference on Microwave and Optoelectronics, 2005., 2005

Page 1. Modeling and Design for an Electrooptic Directional Coupler Modulator Ahmed A. Abou El-fa... more Page 1. Modeling and Design for an Electrooptic Directional Coupler Modulator Ahmed A. Abou El-fadl, Member, IEEE and Ahmed MJ Dabroom Jeddah College of Telecom. & Electronics, POBox 2816, Jeddah 21461, Saudi ...

ICMMT 4th International Conference on, Proceedings Microwave and Millimeter Wave Technology, 2004., 2004

Page 1. 2004 4" .International Conference on Microwave and Millimeter Wave Technology Procee... more Page 1. 2004 4" .International Conference on Microwave and Millimeter Wave Technology Proceedings ANALYSIS OF FLUORINATED POLYMIDE WAVEGUIDE DIRECTIONAL COUPLERS AhmedA. Abou El-fadl, Member, IEEE andAhmed M. J. Dabroom ...

21st Mediterranean Conference on Control and Automation, 2013

This paper proposes an AC voltage regulator for resistive loads using the PWM technique and magne... more This paper proposes an AC voltage regulator for resistive loads using the PWM technique and magnetic flux distribution. The load voltage can be controlled using one switching element (MOSFET) and three limb magnetic circuit. The proposed regulator depend on the PWM technique and control the magnetic flux distribution in the magnetic circuit sections. The suggested regulator gives smooth variation of the load voltage and nearly sinusoidal current at the supply terminals with minimum harmonics. The power factor at the supply terminals is nearly unity over the control range of the load voltage. Equivalent circuit of the regulator is proposed. The computed results are compared with those obtained experimentally using a test model, where good agreement is achieved.

International Journal of Control, 1999

Page 1. Discrete-time implementation of high-gain observers for numerical di erentiation AHMED M.... more Page 1. Discrete-time implementation of high-gain observers for numerical di erentiation AHMED M. DABROOM{* and HASSAN K. KHALIL{ High-gain observers have been used in non-linear control to estimate derivatives of the output. ...

High-gain observers have been used in nonlinear control to estimate the derivatives of the output... more High-gain observers have been used in nonlinear control to estimate the derivatives of the output. In this paper, we study discrete-time implementation of high-gain observers and their use as numerical differentiators. We show that discretization using the bilinear transformation method gives results better than other discretization methods. We also show that many of the available numerical differentiators are special cases of the bilinear discrete-time equivalents of full-order or reduced-order high-gain observers

IEEE Transactions on Automatic Control, 2001

This paper studies sampled-data control of nonlinear systems using high-gain observers. The obser... more This paper studies sampled-data control of nonlinear systems using high-gain observers. The observer is designed in continuous time, then discretized using three different discretization methods. Closed-loop analysis shows that the sampled-data controller recovers the performance of the continuous time controller as the sampling frequency and observer gain become sufficiently large. The theory is illustrated by experimental results.

The use of artificial neural networks (ANNs) in power system problems is increasing attention due... more The use of artificial neural networks (ANNs) in power system problems is increasing attention due to their ability to learn and handle the nonlinearities and uncertainties of the systems. Since the last decade, different ANNs identification and filtering techniques have been applied in power systems and adaptive linear neuron networks (ADALINE) are actually widely used. More recently artificial neural networks have been introduced as a complement or an alternative to traditional control algorithms. The use of neural networks in control applications including process control, robotics, industrial manufacturing and aerospace applications, among others has recently experienced rapid growth. This paper proposes a new control method for shunt active power filter, which is based on ANN. An adaptive linear neuron (ADALINE) will be presented to estimate the reference compensation currents. The resultant compensation currents eliminate harmonics and reactive power compensation with a quick d...

ERJ. Engineering Research Journal

The use of artificial neural networks (ANNs) in power system problems is increasing attention due... more The use of artificial neural networks (ANNs) in power system problems is increasing attention due to their ability to learn and handle the nonlinearities and uncertainties of the systems. Since the last decade, different ANNs identification and filtering techniques have been applied in power systems and adaptive linear neuron networks (ADALINE) are actually widely used. More recently artificial neural networks have been introduced as a complement or an alternative to traditional control algorithms. The use of neural networks in control applications including process control, robotics, industrial manufacturing and aerospace applications, among others has recently experienced rapid growth. This paper proposes a new control method for shunt active power filter, which is based on ANN. An adaptive linear neuron (ADALINE) will be presented to estimate the reference compensation currents. The resultant compensation currents eliminate harmonics and reactive power compensation with a quick dynamic response. Theortical and expermental results in a good agreement.

Int J Contr, 1999

Page 1. Discrete-time implementation of high-gain observers for numerical di erentiation AHMED M.... more Page 1. Discrete-time implementation of high-gain observers for numerical di erentiation AHMED M. DABROOM{* and HASSAN K. KHALIL{ High-gain observers have been used in non-linear control to estimate derivatives of the output. ...

SBMO/IEEE MTT-S International Conference on Microwave and Optoelectronics, 2005., 2005

Page 1. Modeling and Design for an Electrooptic Directional Coupler Modulator Ahmed A. Abou El-fa... more Page 1. Modeling and Design for an Electrooptic Directional Coupler Modulator Ahmed A. Abou El-fadl, Member, IEEE and Ahmed MJ Dabroom Jeddah College of Telecom. & Electronics, POBox 2816, Jeddah 21461, Saudi ...

ICMMT 4th International Conference on, Proceedings Microwave and Millimeter Wave Technology, 2004., 2004

Page 1. 2004 4" .International Conference on Microwave and Millimeter Wave Technology Procee... more Page 1. 2004 4" .International Conference on Microwave and Millimeter Wave Technology Proceedings ANALYSIS OF FLUORINATED POLYMIDE WAVEGUIDE DIRECTIONAL COUPLERS AhmedA. Abou El-fadl, Member, IEEE andAhmed M. J. Dabroom ...

21st Mediterranean Conference on Control and Automation, 2013

This paper proposes an AC voltage regulator for resistive loads using the PWM technique and magne... more This paper proposes an AC voltage regulator for resistive loads using the PWM technique and magnetic flux distribution. The load voltage can be controlled using one switching element (MOSFET) and three limb magnetic circuit. The proposed regulator depend on the PWM technique and control the magnetic flux distribution in the magnetic circuit sections. The suggested regulator gives smooth variation of the load voltage and nearly sinusoidal current at the supply terminals with minimum harmonics. The power factor at the supply terminals is nearly unity over the control range of the load voltage. Equivalent circuit of the regulator is proposed. The computed results are compared with those obtained experimentally using a test model, where good agreement is achieved.

International Journal of Control, 1999

Page 1. Discrete-time implementation of high-gain observers for numerical di erentiation AHMED M.... more Page 1. Discrete-time implementation of high-gain observers for numerical di erentiation AHMED M. DABROOM{* and HASSAN K. KHALIL{ High-gain observers have been used in non-linear control to estimate derivatives of the output. ...

High-gain observers have been used in nonlinear control to estimate the derivatives of the output... more High-gain observers have been used in nonlinear control to estimate the derivatives of the output. In this paper, we study discrete-time implementation of high-gain observers and their use as numerical differentiators. We show that discretization using the bilinear transformation method gives results better than other discretization methods. We also show that many of the available numerical differentiators are special cases of the bilinear discrete-time equivalents of full-order or reduced-order high-gain observers