基于遗传蚁群算法的家用呼吸机分数阶 PID 控制器的参数求解

IF 1.6 4区 工程技术 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC
Renxiang Gao, Qijun Xiao, Wei Zhang, Zuyong Feng
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引用次数: 0

摘要

考虑到家用呼吸机的实际问题和分数阶微积分的优势,本文将分数阶比例-积分-微分(FOPID)控制器应用于呼吸机压力系统。鉴于现有的 FOPID 控制器参数优化算法复杂且缺乏实际验证,本文提出了一种遗传蚁群优化算法。本文首先介绍了分数阶微积分推导和传统优化算法的原理。随后,本文通过理论分析增强了遗传算法的进化、交叉和突变方面,同时结合信息素的概念增强了优化算法的功效。本文提出了一种新的多目标函数,并对呼吸机压力系统的传递函数进行了推导和计算。模拟实验比较了传统优化算法和遗传-蚂蚁群算法(G-ACA)在不同控制对象和目标函数下的结果。最后,将求解出的 FOPID 控制器应用于呼吸机的实际电路,并与传统的比例-积分-派生控制器进行比较。结果表明,经 G-ACA 优化的 FOPID 控制器在仿真和实际应用中均优于传统控制器,验证了所提出的目标函数。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Parameter Solution of Fractional Order PID Controller for Home Ventilator Based on Genetic-Ant Colony Algorithm

Parameter Solution of Fractional Order PID Controller for Home Ventilator Based on Genetic-Ant Colony Algorithm

Considering the practical issues of home ventilators and the advantages of fractional order calculus, this paper implements the fractional order proportional-integral–differential (FOPID) controller to the ventilator pressure system. Given that existing FOPID controller parameter optimization algorithms are complex and lack real-world validation, a genetic-ant colony optimization algorithm is proposed. The paper commences with fractional order calculus derivation and the principles of traditional optimization algorithms. Subsequently, this paper enhances the evolution, crossover, and mutation aspects of the genetic algorithm through theoretical analysis, while incorporating the concept of pheromones to augment the efficacy of the optimization algorithm. A new multi-objective function is proposed, accompanied by the transfer function derivation and calculation for the ventilator pressure system. Simulation experiments compare the results of traditional optimization algorithms and the Genetic-Ant Colony Algorithm (G-ACA) for various controlled objects and objective functions. Finally, the solved FOPID controllers are applied to the actual circuit of the ventilator and compared with the conventional proportional-integral-derivative controllers. The results show that the FOPID controllers optimized by the G-ACA surpass the traditional ones in simulation and practice, validating the proposed objective function.

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来源期刊
Journal of Electrical Engineering & Technology
Journal of Electrical Engineering & Technology ENGINEERING, ELECTRICAL & ELECTRONIC-
CiteScore
4.00
自引率
15.80%
发文量
321
审稿时长
3.8 months
期刊介绍: ournal of Electrical Engineering and Technology (JEET), which is the official publication of the Korean Institute of Electrical Engineers (KIEE) being published bimonthly, released the first issue in March 2006.The journal is open to submission from scholars and experts in the wide areas of electrical engineering technologies. The scope of the journal includes all issues in the field of Electrical Engineering and Technology. Included are techniques for electrical power engineering, electrical machinery and energy conversion systems, electrophysics and applications, information and controls.
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