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

Gölcük, Adem

doi:10.1016/j.bspc.2022.103702

Cited by 2 publications

(1 citation statement)

References 44 publications

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“…The conventional PID controller has limitations in unstable, integrating, and resonant processes ( Tan, 2009 ). In particular, it is known that they cannot provide good control performance in non-linear systems, linear and high-order systems with time delay, and complex and uncertain systems with unknown mathematical models ( Golcuk, 2022 ). A modified form of the conventional PID controller to improve the control performance for unstable, integrating, and resonant processes is the PI-PD controller.…”

Section: Introductionmentioning

confidence: 99%

Tuning of controller parameters using Pythagorean fuzzy similarity measure based on multicriteria decision making for stable and time delayed unstable plants

Akdağ

Can

2023

PeerJ Computer Science

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This paper proposes a tuning method based on the Pythagorean fuzzy similarity measure and multi-criteria decision-making to determine the most suitable controller parameters for Fractional-order Proportional Integral Derivative (FOPID) and Integer-order Proportional Integral-Proportional Derivative (PI-PD) controllers. Due to the power of the Pythagorean fuzzy approach to evaluate a phenomenon with two memberships known as membership and non-membership, a multi-objective cost function based on the Pythagorean similarity measure is defined. The transient and steady-state properties of the system output were used for the multi-objective cost function. Thus, the determination of the controller parameters was considered a multi-criteria decision-making problem. Ant colony optimization for continuous domains (ACOR) and artificial bee colony (ABC) optimization are utilized to minimize multi-objective cost functions. The proposed method in the study was applied to three different systems: a second-order non-minimum phase stable system, a first-order unstable system with time delay, and a fractional-order unstable system with time delay, to validate its effectiveness. The cost function utilized in the proposed method is compared with the performance measures widely used in the literature based on the integral of the error, such as IAE (Integral Absolute Error), ITAE (Integral Time Absolute Error), ISE (Integral Square Error), and ITSE (Integral Time Square Error). The proposed method provides a more effective control performance by improving the system response characteristics compared to other cost functions. With the proposed method, the undershoot rate could be significantly reduced in the non-minimum phase system. In the other two systems, significant improvements were achieved compared to other methods by reducing the overshoot rate and oscillation. The proposed method does not require knowing the mathematical model of the system and offers a solution that does not require complex calculations. The proposed method can be used alone. Or it can be used as a second and fine-tuning method after a tuning process.

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Section: Introductionmentioning

confidence: 99%

Tuning of controller parameters using Pythagorean fuzzy similarity measure based on multicriteria decision making for stable and time delayed unstable plants

Akdağ

Can

2023

PeerJ Computer Science

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Analysis and Correlation between a Non-Invasive Sensor Network System in the Room and the Improvement of Sleep Quality

et al. 2022

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Good sleep quality is essential in human life due to its impact on health. Currently, technology has focused on providing specific features for quality sleep monitoring in people. This work represents a contribution to state of the art on non-invasive technologies that can help improve the quality of people’s sleep at a low cost. We reviewed the sleep quality of a group of people by analyzing their good and bad sleeping habits. We take that information to feed a proposed algorithm for a non-invasive sensor network in the person’s room for monitoring factors that help them fall asleep. We analyze vital signs and health conditions in order to be able to relate these parameters to the person’s way of sleeping. We help people get valuable information about their sleep with technology to live a healthy life, and we get about a 15% improvement in sleep quality. Finally, we compare the implementations given by the network with wearables to show the improvement in the behavior of the person’s sleep.

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

Cited by 2 publications

References 44 publications

Tuning of controller parameters using Pythagorean fuzzy similarity measure based on multicriteria decision making for stable and time delayed unstable plants

Tuning of controller parameters using Pythagorean fuzzy similarity measure based on multicriteria decision making for stable and time delayed unstable plants

Analysis and Correlation between a Non-Invasive Sensor Network System in the Room and the Improvement of Sleep Quality

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