Improvement The DFIG Active Power with Variable Speed Wind using Particle Swarm Optimization

Rishag, Hussein Thani; Hameed, Siraj Manhal

doi:10.24237/djes.2016.09205

Cited by 7 publications

(4 citation statements)

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“…Fuzzy logic system suitable for additional tasks compared to classical form of logic. They were first flexibility for representation [12]- [14]. This quality is recognized by membership functions which give Fuzzy sets the capability of modeling in linguistic form.…”

Section: Fuzzy Logic Systemmentioning

confidence: 99%

Evaluation of electrical load estimation in Diyala governorate (Baaquba city) based on fuzzy inference system

Hameed

AL-Qaysi

Kaittan

et al. 2021

IJECE

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The evaluation of electrical load estimation is requisitely of any electrical power system. This manner is needed for system obligation, economical distribution and maintenance time of electrical system. In this paper, we propose electrical load estimation method based on fuzzy inference system which gives accurate results for estimated loads in Iraq (Diyala governorateBaaquba city). And it can assist the electrical generation and distribution system that depends on important parameters (temperature, humidity and the speed of the wind). By considering the parameters temperature, humidity and the speed of the wind. These parameters are applied as inputs to the fuzzy logic control system to obtain the normalize estimated load as output by electing membership functions. It is exceptionally valuable to form a choice by taking into consideration these assessed readings that come to from the proposed FIS that displayed in this paper with precision of 0.969 from the real stack request.

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Section: Fuzzy Logic Systemmentioning

confidence: 99%

Evaluation of electrical load estimation in Diyala governorate (Baaquba city) based on fuzzy inference system

Hameed

AL-Qaysi

Kaittan

et al. 2021

IJECE

Self Cite

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“…In terms of both the average body size by age, as determined by the KATS, and the position of the subsequent bedsor case, we have transmitted sensors. Doing so would make it conceivable to classify weight for various body measurements and body positions [16].…”

Section: Designation Of Two Sensor Formsmentioning

confidence: 99%

Design a multi-motion bed to help the Elderly people and sick

Ali¹,

Abdulateef²,

Ali

2021

IJEECS

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Most mishaps happening at clinical foundations treating older patients with portability hindrance are bedsores and slip-and-fall accidents. One reason for this high pace of mishaps is the absence of nursing faculty. So as to help parental figures in nursing old patients who are unable to move freely, we offer an arrangement and implementation of a wise bed in this work. This is the bed. Under the sheet material spread, a couple of weight sensors are passed to consider the two social orders' regular actual characteristics as well as the specific body portions where bedsores commonly arise. The body zone is divided into three vertical territories and three level zones to cope with the weight ulcer territory and prevent falls. Each microcontroller unit is in charge of monitoring pressure-differentiating data in one of the bodily regions separated on a level plane. In this review, a consistent weight distinguishing figure is offered that is useful for predicting the anticipated outcomes of bedsores and falling setbacks by taking into account both the strength and the length of weight of unambiguous body parts. Our preliminary findings reveal that a model magnificent bed serves a pair of human models of varied heights and burdens admirably.

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“…Different researchers have proposed different controllers for a 2-LRRM. In [4], a simple design of RBFNN is adopted to estimate the lumped uncertainties. It is unlike others designed based on the existing barrier Lyapunov function.…”

Section: Introductionmentioning

confidence: 99%

Neural Fractional Order PID Controllers Design for 2-Link Rigid Robot Manipulator

Mohamed,

Oleiwi,

Abood

et al. 2023

Fractal Fract

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The robotic manipulator is considered one of the complex systems that include multi-input, multi-output, non-linearity, and highly coupled. The uncertainty in the parameters and external disturbances have a negative influence on the performance of the system. Therefore, the controllers that will be designed for these systems must be able to deal with these complexities and difficulties. The Proportional, Integral, and Derivative (PID) controller is known to be simple and well robust, while the neural network has a solid ability to map complex functions. In this paper, we propose six control structures by combining the benefits of PID controller with integer and fractional order and the benefits of neural networks to produce hybrid controllers for a 2-Link Rigid Robot Manipulator (2-LRRM) handling with the problem of trajectory tracking. The Gorilla Forces Troops Optimization algorithm (GTO) was used to tune the parameters of the proposed controller schemes to minimize the Integral of Time Square Error (ITSE). In addition, the robustness of the performance of the suggested control systems is tested by altering the initial position, external disturbances and parameters and carried out using MATLAB. The best performance of the proposed controllers was the Neural Network Fractional Order Proportional Integral Derivative Controller (NNFOPID).

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Improvement The DFIG Active Power with Variable Speed Wind using Particle Swarm Optimization

Cited by 7 publications

References 0 publications

Evaluation of electrical load estimation in Diyala governorate (Baaquba city) based on fuzzy inference system

Evaluation of electrical load estimation in Diyala governorate (Baaquba city) based on fuzzy inference system

Design a multi-motion bed to help the Elderly people and sick

Neural Fractional Order PID Controllers Design for 2-Link Rigid Robot Manipulator

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