CANLI
Yükleniyor Veriler getiriliyor…
/ Makaleler / Scopus Detay
Scopus YÖKSİS DOI Eşleşti SJR Q1

Design and implementation of a hybrid FLC + PID controller for pressure control of sleep devices

Biomedical Signal Processing and Control · Temmuz 2022

Özet
Sleep apnea is a breathing disorder that occurs when the airway is completely or partially blocked during sleep. Patients with sleep apnea use sleep devices while sleeping at night. Patients should use this device within the pressure range prescribed by doctors. For this reason, the quality of the pressure control of the air supplied to the patient from the sleep devices is very important. The control of this pressure is carried out by controlling the rotation speed of the blower motor in the sleep devices. In this study, PID controller, FLC and Hybrid FLC + PID Controller (HFLCPIDC) were designed to control the rotation speed of the blower motor and hence the pressure of the sleep device. The pressure value read from the pressure sensor at the output of the sleep device and the target pressure value adjusted on the touch panel of the sleep device were used as input parameters of these controllers. As a result of the experimental studies, it was observed that the sudden pressure change in the sleep device was stabilized at 504 ms with the PID controller, at 1575 ms with the FLC and at 484 ms with the HFLCPIDC. In addition, FLC and HFLCPIDC were able to balance the pressure at the output of the device more successfully than the PID controller. It is recommended to use HFLCPIDC for pressure control of sleep devices, as it both reacts very quickly to sudden pressure changes and can keep the pressure in balance in the best way.
4 atıf Temmuz 2022 DOI
YÖKSİS DOI Eşleşmesi Bulundu

Bu Scopus makalesi YÖKSİS veritabanında da kayıtlı. Aşağıda YÖKSİS verilerini görebilirsiniz.

YÖKSİS Kayıtları
Design and implementation of a hybrid FLC + PID controller for pressure control of sleep devices
Biomedical Signal Processing and Control · 2022 SCI-Expanded
Doç. Dr. ADEM GÖLCÜK →
YÖKSİS Kayıtları — ISSN Eşleşmesi
Bu dergide (ISSN eşleşmesi) kurumun 12 kaydı bulundu.
CNN-based Bi-directional and Directional Long-short Term Memory Network for Determination of Face Mask
2022 ISSN: 1746-8094 SCI-Expanded Q2
Doç. Dr. YAVUZ SELİM TAŞPINAR →
Machine Learning-Based Detection of Sleep-Disordered Breathing Type Using Time and Time-Frequency Features
2022 ISSN: 1746-8094 SCI-Expanded Q2
Dr. Öğr. Üyesi GÜZİN ÖZMEN →
Improving efficiency in convolutional neural networks with 3D image filters
2022 ISSN: 1746-8094 SCI-Expanded Q2
Dr. Öğr. Üyesi NEJAT ÜNLÜKAL →
Machine Learning-Based Detection of Sleep-Disordered Breathing Type Using Time and Time-Frequency Features
2022 ISSN: 1746-8094 SCI-Expanded Q2
Doç. Dr. ADEM GÖLCÜK →
Machine Learning-Based Detection of Sleep-Disordered Breathing Type Using Time and Time-Frequency Features
2022 ISSN: 1746-8094 SCI-Expanded Q2
Prof. Dr. ŞAKİR TAŞDEMİR →
Design and implementation of a hybrid FLC + PID controller for pressure control of sleep devices
2022 ISSN: 1746-8094 SCI-Expanded Q2
Doç. Dr. ADEM GÖLCÜK →
Future activity prediction of multiple sclerosis with 3D MRI using 3D discrete wavelet transform
2022 ISSN: 1746-8094 SCI-Expanded Q2
Dr. Öğr. Üyesi ZÜLEYHA YILMAZ ACAR →
Improving efficiency in convolutional neural networks with 3D image filters
2022 ISSN: 1746-8094 SCI Q2
Prof. Dr. ŞAKİR TAŞDEMİR →
Machine Learning-Based Detection of Sleep-Disordered Breathing Type Using Time and Time-Frequency Features
2022 ISSN: 1746-8094 SCI
Prof. Dr. ŞAKİR TAŞDEMİR →
CNN-based Bi-directional and Directional Long-short Term Memory Network for Determination of Face Mask
2022 ISSN: 1746-8094 SCI-Expanded Q2
Doç. Dr. MURAT KÖKLÜ →
Involution-based HarmonyNet: An efficient hyperspectral imaging model for automatic detection of neonatal health status
2025 ISSN: 1746-8094 SCI-Expanded Q2
Doç. Dr. MURAT KONAK →
Abc-based weighted voting deep ensemble learning model for multiple eye disease detection
2024 ISSN: 1746-8094 SCI-Expanded Q1
Prof. Dr. ŞAKİR TAŞDEMİR →

Makale Bilgileri

Toplam Atıf 4 atıf · Scopus
ISSN17468094
Yayın TarihiTemmuz 2022
Cilt / Sayfa76

Kurumlar

Selçuk Üniversitesi
Selçuklu Turkey

Havuzumuzdaki Atıflar 0

Bu makaleye, sistemimizdeki Scopus veritabanında bulunan 0 makale atıf yapmıştır. Scopus genel atıf sayısı: 4.

Bu makaleye, kendi Scopus havuzumuzdaki başka bir makaleden atıf kaydı bulunmuyor.
Scimago Dergi (ISSN Eşleşmesi)
Biomedical Signal Processing and Control
Q1
SJR Skoru1,336
H-Index141
YayıncıElsevier Ltd
ÜlkeUnited Kingdom
Biomedical Engineering (Q1)
Health Informatics (Q1)
Signal Processing (Q1)
Dergi sayfasına git

Metrikler

4
Atıf

Sistemimizdeki Yazarlar