Comparative Study of Optimal Nonlinear Control Schemes for Hanging Mass Actuated by Uncertain Pneumatic Muscle

Sadiq, Musaab E.; Humaidi, Amjad J.; Kadhim, Saleem Khalefa; Mahdi, Abdulkareem Sh.; Alkhayyat, Ahmed; Ibraheem, Ibraheem Kasim

doi:10.1109/icset53708.2021.9612530

Cited by 3 publications

(2 citation statements)

References 27 publications

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“…A SM controller is developed for regulating airway pressure in mechanical ventilators, where the difference between the reference pressure command (Pr) and the airway pressure (Pa) is defined as the error (e). The first derivative of the error is calculated and used in conjunction with the sliding surface (S) [33,34] to create a detailed expression:…”

Section: Control System Designmentioning

confidence: 99%

Comparative Analysis of Airflow Regulation in Ventilator Systems Using Various Control Strategies

Shanan,

Kadhim

2023

JESA

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Ventilator designs, pivotal in providing respiratory support to patients, often grapple with performance optimization challenges due to variable patient conditions and intricate mechanical components. This research strives to identify the optimal control strategy that can assure maximal patient safety and efficient ventilator operation. We compared three control strategies: the conventional Proportional-Integral-Derivative (PID) control, the Nonlinear PID control, and the sliding mode control (SMC) equipped with signum function triggers. Our studies underscored the preeminence of SMC in controlling airway pressure, exhibiting a rapid and disturbance-free response. However, while SMC ensured smooth patient airflow in flow rate control, it exhibited a slightly delayed response. The research thus posits SMC as a promising contender, particularly in light of the sophisticated design requirements of contemporary ventilators. Through this investigation, we aim to offer a robust control solution capable of enhancing current ventilator operations to ensure superior patient safety and efficiency.

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Section: Control System Designmentioning

confidence: 99%

Comparative Analysis of Airflow Regulation in Ventilator Systems Using Various Control Strategies

Shanan,

Kadhim

2023

JESA

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“…In this part, the control laws are developed based on SMC in the presence of uncertainty in system parameters. The sliding surface is synthesized to derive the control law based on controlled system [27,28].…”

Section: Design Of Smc For Elbow Exoskeleton Systemmentioning

confidence: 99%

Design of Optimal Sliding Mode Control of Elbow Wearable Exoskeleton System Based on Whale Optimization Algorithm

Waheed¹,

Humaidi²

2022

JESA

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The high nonlinearity and time-varying coefficients characterize the elbow exoskeleton system for rehabilitation. To deal with these difficult control challenges, nonlinear and reliable controllers are needed. This paper shows the use of Sliding Mode Control (SMC) to track the trajectory of an Elbow Exoskeleton System (EES) with presence of parameter uncertainty. The Whale Optimization Algorithm (WOA) algorithm is used to tuning the design parameters of suggested controllers for performance improvement. Computer simulation based on MATLAB software has been implemented to conduct a comparison study between optimal and non-optimal SMC. The simulation findings shows that the optimal SMC outperforms the non-optimal version of controller in terms of performance.

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Two Stages of Algebraic Matrix Decomposition in Optimal Image Steganographic Approach

Waleed

Almaameri

Abduldaim

et al. 2022

2022 5th International Conference on Engineering Technology and Its Applications (IICETA)

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Comparative Study of Optimal Nonlinear Control Schemes for Hanging Mass Actuated by Uncertain Pneumatic Muscle

Cited by 3 publications

References 27 publications

Comparative Analysis of Airflow Regulation in Ventilator Systems Using Various Control Strategies

Comparative Analysis of Airflow Regulation in Ventilator Systems Using Various Control Strategies

Design of Optimal Sliding Mode Control of Elbow Wearable Exoskeleton System Based on Whale Optimization Algorithm

Two Stages of Algebraic Matrix Decomposition in Optimal Image Steganographic Approach

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