An adaptive fractional order optimizer based optimal tilted controller design for artificial ventilator

被引:0
|
作者
Acharya, Debasis [1 ]
Das, Dushmanta Kumar [2 ]
机构
[1] Brainware Univ, Dept Comp Sci & Engn, Kolkata, W Bengal, India
[2] Natl Inst Technol Nagaland, Dept Elect & Elect Engn, Dimapur 797103, India
来源
OPTIMAL CONTROL APPLICATIONS & METHODS | 2024年 / 45卷 / 06期
关键词
artificial ventilation system (AVS); fractional order controller structure; optimization algorithm; positive end-expiratory pressure (PEEP); pressure control ventilator (PCV); LOAD FREQUENCY CONTROL; MECHANICAL VENTILATION; DERIVATIVE CONTROLLER; MODEL; PRESSURE; SYSTEMS; SIMULATION; GENERATION; RULES;
D O I
10.1002/oca.3179
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Artificial ventilators are vital respiratory support systems in the field of medical care, especially for patients in critical condition. It is crucial to make sure the ventilator keeps the intended airway pressure because variations might be harmful to the brain and lungs. Thus, achieving accurate pressure tracking is a primary objective in designing optimal controllers for pressure-controlled ventilators (PCVs). To address this need, a novel approach is proposed: a mixed integer tilted fractional order integral and integer order derivation controller (FOT1nI lambda-D)$$ \left({\mathrm{FOT}}<^>{\frac{1}{n}}{I}<^>{\lambda }-D\right) $$ tailored for PCV systems. The gains of different parameters of the proposed controller are optimized using an adaptive chaotic search fractional order class topper optimization algorithm, augmented with a Gaussian-based mutation operator. Moreover, the controller is designed to minimize oscillations in its output signal, thereby mitigating physical risks and reducing the size of actuators required. The efficacy of the optimized controller is further examined across various scenarios, including different lung resistances and compliances across different age groups of patients. Additionally, the impact of endotracheal tube resistance on air pressure is assessed as a potential disturbance in the PCV system. Through comprehensive testing, the proposed controller demonstrates superior performance in accurately tracking airway pressure to the desired levels. Across all evaluated cases, the proposed controller structure and accompanying algorithm outperform existing solutions. Notably, improvements are observed in system response time, overshoot, and settling time. This underscores the significance of employing advanced control strategies to enhancing the functionality and safety of PCV systems in medical settings. A metaheuristic algorithm is developed with a fractional order velocity enhancement concept to design a tilted pressure controller for an artificial ventilator model. It improves the pressure-tracking performance of the ventilator for patient comfort and safety. image
引用
收藏
页码:2651 / 2668
页数:18
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