Hatem Seoudy

Speed Regulation of Brushless DC Drives Using Optimized Fuzzy Logic Controller

International Conference on Aerospace Sciences and Aviation Technology, 2013

Brushless Direct Current (BLDC) motor becomes at the top of motors in high performance drive syst... more Brushless Direct Current (BLDC) motor becomes at the top of motors in high performance drive systems such as Electric vehicle (EV). This paper presents a modern approach of speed control for BLDC using particle swarm optimization (PSO) algorithm. to optimize the scaling factors of fuzzy logic controller (FLC). The overall system is simulated under various operating conditions and simulation results have been examined at different control techniques. At the same operating conditions, these simulation results are compared with those obtained using fuzzy logic. The investigated results illustrated that the use of PSO as an optimization algorithm makes the drive robust, with faster dynamic response, higher accuracy and insensitive to load variation. The system is tested for a step change in load and the simulation results showed good dynamic response with fast recovery time.

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Design and implementation of optimal controller for DFIG-WT using autonomous groups particle swarm optimization

International Journal of Power Electronics and Drive Systems (IJPEDS)

There are many types of generators used within wind energy such as doubly fed induction generator... more There are many types of generators used within wind energy such as doubly fed induction generator (DFIG). Particle swarm optimization (PSO) algorithm is simple, robust and easy to implement. In addition to the privilege of PSO, autonomous groups particle swarm optimization (AGPSO) has the advantages of using diverse autonomous groups which result in more randomized and directed search. Applying AGPSO to tune PI controller to control DFIG is proposed in this paper. An implemented laboratory prototype consists of brushless DC motor (BLDC) for simulating the various wind speeds. Wound rotor induction machine, working as DFIG. This system is a stand-alone system. System identification strategy was introduced in this work. In this study, AGPSO is suggested for tuning the PI controller. Different case studies are performed, such as step changes in both speed and electrical load for showing the effectiveness of the proposed algorithm. For comparison PSO is used to tune the PI controller. R...

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Optimal tuning of PI Controllers for Doubly-Fed Induction Generator using Grey Wolf Optimizer Al-Said

An intelligent control of Doubly Fed Induction Generator (DFIG) system using Proportional-Integra... more An intelligent control of Doubly Fed Induction Generator (DFIG) system using Proportional-Integral (PI)controller tuned by optimization techniques is proposed in this paper.System identification technique was presented in this work to estimate the transfer function of the reactive power loop and speed loop of the proposed system.An implemented laboratory prototype consists of 0.37kW, 220 V, 50Hz Brushless DC Motor (BLDC) and its drive circuit controlled by voltage source inverter for various wind speed.A 0.27 kW wound rotor induction machine, working as the DFIG, coupled with turbine machine by a coupler and driven through a back-to-back converter. This system can be applied as a stand-alone power supply system or as the emergency power system when the electricity grid fails. The rotor side converter is controlled using the field-oriented control to control the reactive power at different rotor speeds.Grey Wolf Optimizer (GWO) proposed in this study to tune the (PI) controller. More...

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Optimal Tuning of PI Controllers for Doubly-Fed Induction Generator-Based Wind Energy Conversion System using Grey Wolf Optimizer

This paper introduces modelling and simulation of Doubly-Fed Induction Generator (DFIG) of Wind E... more This paper introduces modelling and simulation of Doubly-Fed Induction Generator (DFIG) of Wind Energy Conversion System (WECS). Two Pulse Width Modulation (PWM) converters have been connected back to back from the rotor terminals to the utility grid via a dc-link. Vector control system typically controlled by a set of PI controllers, which have an important effect on the performance of system dynamics. This paper presents an optimally tuned PI controllers design of a DFIG wind energy system connected to grid using Particle Swarm Optimization (PSO), and Grey Wolf Optimizer (GWO). PSO and GWO used to optimize PI controller parameters of both Grid side converter (GSC), and Rotor side converter (RSC) to improve the dynamic operation of the DFIG wind energy system under a variable speed condition. Keywords-Doubly fed induction generator (DFIG), wind energy conversion system (WECS), Rotor side converter (RSC), Grid side converter (GSC), Particle Swarm Optimization (PSO), Grey Wolf Optimi...

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Study of Broken Rotor Bar Fault for Asymmetrical Six-Phase Induction Motor

2020 IEEE International Conference on Power Electronics, Drives and Energy Systems (PEDES)

Multiphase induction machines have gained more attentions due to their superior fault tolerant ca... more Multiphase induction machines have gained more attentions due to their superior fault tolerant capabilities. This work aims to assess the Broken Rotor Bar (BRB) faulty operation of asymmetrical six-phase Induction Machine (IM). Additionally, a comparison in terms of BRB fault feature between the mentioned machine and conventional 3-phase IM has also been performed. Assessment process has been performed initially using Finite Element Algorithm (FEA). Then, a prototype has been re-wound for semi-12-phase arrangement which is an alternative name of asymmetrical 6-phase IM. It has been confirmed experimentally that the BRB fault indicators, the Side Band Harmonic Components (SBHC) of stator current for asymmetrical 6-phase IM, are greater than those of their 3-phase counterparts. Analysis has been concluded with various BRB fault scenarios including single and double BRB cases with variable loading conditions. Furthermore, a fault classifier has also been proposed which could detect and classify the BRB fault for asymmetrical 6-phase IM.

Speed Regulation of Brushless DC Drives Using Optimized Fuzzy Logic Controller

Brushless Direct Current (BLDC) motor becomes at the top of motors in high performance drive syst... more Brushless Direct Current (BLDC) motor becomes at the top of motors in high performance drive systems such as Electric vehicle (EV). This paper presents a modern approach of speed control for BLDC using particle swarm optimization (PSO) algorithm. to optimize the scaling factors of fuzzy logic controller (FLC). The overall system is simulated under various operating conditions and simulation results have been examined at different control techniques. At the same operating conditions, these simulation results are compared with those obtained using fuzzy logic. The investigated results illustrated that the use of PSO as an optimization algorithm makes the drive robust, with faster dynamic response, higher accuracy and insensitive to load variation. The system is tested for a step change in load and the simulation results showed good dynamic response with fast recovery time.

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Optimal Tuning of PI Controllers for Doubly-Fed Induction Generator-Based Wind Energy Conversion System using Grey Wolf Optimizer

by Hatem Seoudy and Amged El-Wakeel

This paper introduces modelling and simulation of Doubly-Fed Induction Generator (DFIG) of Wind E... more This paper introduces modelling and simulation of Doubly-Fed Induction Generator (DFIG) of Wind Energy Conversion System (WECS). Two Pulse Width Modulation (PWM) converters have been connected back to back from the rotor terminals to the utility grid via a dc-link. Vector control system typically controlled by a set of PI controllers, which have an important effect on the performance of system dynamics. This paper presents an optimally tuned PI controllers design of a DFIG wind energy system connected to grid using Particle Swarm Optimization (PSO), and Grey Wolf Optimizer (GWO). PSO and GWO used to optimize PI controller parameters of both Grid side converter (GSC), and Rotor side converter (RSC) to improve the dynamic operation of the DFIG wind energy system under a variable speed condition.

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Optimal tuning of PI Controllers for Doubly-Fed Induction Generator using Grey Wolf Optimizer

by Hatem Seoudy and Amged El-Wakeel

An intelligent control of Doubly Fed Induction Generator (DFIG) system using Proportional-Integra... more An intelligent control of Doubly Fed Induction Generator (DFIG) system using Proportional-Integral (PI)controller tuned by optimization techniques is proposed in this paper.System identification technique was presented in this work to estimate the transfer function of the reactive power loop and speed loop of the proposed system.An implemented laboratory prototype consists of 0.37kW, 220 V, 50Hz Brushless DC Motor (BLDC) and its drive circuit controlled by voltage source inverter for various wind speed.A 0.27 kW wound rotor induction machine, working as the DFIG, coupled with turbine machine by a coupler and driven through a back-to-back converter. This system can be applied as a stand-alone power supply system or as the emergency power system when the electricity grid fails. The rotor side converter is controlled using the field-oriented control to control the reactive power at different rotor speeds.Grey Wolf Optimizer (GWO) proposed in this study to tune the (PI) controller. Moreover, Particle Swarm Optimization (PSO) is also used to tune the PI controller for comparison. For studying the performance of each algorithm, different case studies are performed, such as step changes in the rotating speed andelectrical load. Experimentalresults showed that the proposed techniqueis adequate and sufficient to be used with off-grid stand-alone DFIG systems. It alsoshowed the improved performance of GWO over the PSOin tuning the PI controller.

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