Performance evaluation of a hybrid fuzzy logic controller based on genetic algorithm for three phase induction motor drive

Ali, Ahmed J.; Farej, Ziyad Khalaf; Sultan, Nashwan Saleh

doi:10.11591/ijpeds.v10.i1.pp117-127

Cited by 18 publications

(18 citation statements)

References 10 publications

(14 reference statements)

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“…Fuzzy logic is suitable for uncertain systems, that systems mathematical model is difficult for deriving [15,21]. In this study, "Takagi-Sugeno (TS)" is selected.…”

Section: Controller Designmentioning

confidence: 99%

Performance investigation of stand-alone induction generator based on STATCOM for wind power application

Ali

Suliman

Khalaf

et al. 2020

IJECE

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Self-Excited induction generators (SEIG) display a low voltage and frequency regulation due to variable applied load and input rotation speed. Current work presents a simulation and performance analysis of a three-phase wind-driven, SEIG connect to a three-phase load. In addition, an investigation of the dynamic operation of the induction generator from starting steady state until no-load operation. It is assumed that the input mechanical power is constant where the rotor of the SEIG rotates at a constant speed. The value of the excitation capacitance which is necessary to the operation of the induction generator also computed to ensure a smooth and self-excitation starting. The output voltage of the generator is adjusted by varying the reactive power injected by STATCOM. A 3-phase IGBT voltage source inverter with a fuel cell input supply is connected as STATCOM which is used to compensate for the reduction in the supply voltage and its frequency due to variation occurred in the applied loads. This work includes introducing a neuro-fuzzyy logic controller to enhance the performance of the SEIG by regulation the generated voltage and frequency The dynamic model of SEIG with STATCOM and loads are implemented using MATLAB/SIMULINK

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“…Fuzzy logic is suitable for uncertain systems, that systems mathematical model is difficult for deriving [15,21]. In this study, "Takagi-Sugeno (TS)" is selected.…”

Section: Controller Designmentioning

confidence: 99%

Performance investigation of stand-alone induction generator based on STATCOM for wind power application

Ali

Suliman

Khalaf

et al. 2020

IJECE

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“…This system is feeding a 1.5 KW induction oil pump load as in Figure 1. The used SEIG's parameters was exactly measured by testing the induction generator when using it as a motor [17][18][19].…”

Section: Proposed Systemmentioning

confidence: 99%

The influence of iron losses on selecting the minimum excitation capacitance for self-excited induction generator (SEIG) with wind turbine

Kadhum

Alkhafaji

Emawi

2020

IJEECS

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<p>The capacitance selection of the three-phase self-excited induction generators (SEIG) driven by wind energy is influences by the iron losses. This paper is dealing with this problem by constructing a steady state model of the generator supplying an induction oil pump. No previous literature studying the requirements of selecting the minimum excitation capacitance under the iron loss impact is found. This work is focusing on: (i) a novel evaluation of the characteristics of the induction generator taking iron loss into account. (ii) the errors caused by neglecting the iron loss. (iii) the importance of including the iron-loss in any accurate analysis. (iv) the errors occurred in the selection of the precise excitation capacitance (C<sub>exct</sub>) when the iron-loss neglected. Nodal analysis is suggested to describe the study-state performance of the proposed model. A Matlab/simulation is established to validate the proposed model.</p>

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“…ω is an inertia mass which is limited between [-Vmax, Vmax] and determines the impact of velocity memory and is servicing on global or local search [11,[20][21][22]. It is also suggested to restrict the velocity to a specified range [-Vmax, Vmax] [10,11,[20][21][22]. Several forms of PSO, as well as swarm techniques, were introduced, with a continuous upgrading.…”

Section: Design Algorithms 31 Particle Swarm Optimization (Pso)mentioning

confidence: 99%

Hybrid IWOPSO optimization based marine engine rotational speed control automatic system

Ghthwan

Al-hayder

Hassooni

2020

IJECE

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Transporting industry is having an important influence on the nations' progress. The states that having long shoreline are taking advantage of their locations in using sea transportations which is more economical than other types of transportations. One of the most economical marine transport is the diesel fueling engines. This paper is to optimize the PID controller to control the speed of the engine overcoming the navigation environmental changes such as waves, winds and other effective external factors as well as the vessel internal changes such as the shipment load, equipment's conditions etc. PID is optimized through the optimum selection of its parameters (KP, KI and KD). A Simulink/MatLab model of the system is designed for this purpose. The Hybrid IWOPSO (HIWOPSO) algorithm is used for finding the optimum values of the PID parameters. The engine step response with these parameters is compared to the responses with those obtained by the IWO and PSO besides the Fuzzy Logic Control (FLC). earned his M.sc in the field of Electrical and Electronic Engineering from Eastern Mediterranean University, Turkey / North Cyprus 2013. He has more than five years of experience in teaching. He completed his BSc in Electrical Engineering, university of technology, Baghdad, Iraq, 2001. His research interests includes power electronics, control power system, electronic system design and predictive current control modeling Mr. Abdulrasul A. Al-hayder earned his master degree in control and instrumentation in 1985 and bachelor degree in 1981 from the University Of Technology, Baghdad/ Iraq. He has a teaching experience for more than tweenty years. He is interesting in the automatic control systems engineering, systems engineering, and communications as digital techniques fields.

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Performance evaluation of a hybrid fuzzy logic controller based on genetic algorithm for three phase induction motor drive

Cited by 18 publications

References 10 publications

Performance investigation of stand-alone induction generator based on STATCOM for wind power application

Performance investigation of stand-alone induction generator based on STATCOM for wind power application

The influence of iron losses on selecting the minimum excitation capacitance for self-excited induction generator (SEIG) with wind turbine

Hybrid IWOPSO optimization based marine engine rotational speed control automatic system

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