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采用具有分程控制策略的粒子群优化-比例积分微分(PSO-PID)控制器实现乙醇发酵中的先进温度控制。

Advanced temperature control in ethanol fermentation using a PSO-PID controller with split-range control strategy.

作者信息

Yerolla Raju, P Suhailam, Besta Chandra Shekar

机构信息

Department of Chemical Engineering, National Institute of Technology, Calicut, India.

出版信息

Prep Biochem Biotechnol. 2025 Feb;55(2):196-209. doi: 10.1080/10826068.2024.2381761. Epub 2024 Aug 3.

DOI:10.1080/10826068.2024.2381761
PMID:39096305
Abstract

Global energy demand is experiencing a notable surge due to growing energy security. Renewable energy sources, like ethanol, are becoming more viable. In the present study, the application of a PSO-PID (Particle Swarm Optimization - Proportional Integral Derivative) controller with a split-range control strategy was suggested for the regulation of temperature within the fermentation system. To optimize performance, a POS-PID controller with a split-range arrangement utilizing two control valves for hot and cold utilities was constructed. The study began by examining the open-loop dynamic response of the system to inlet temperature and concentration disturbances during ethanol production fermentation. Subsequently, a transfer function model was developed through linearization at the steady-state operating point. The split-range controller structure, implemented by optimizing the PSO-PID controller parameters using PSO, effectively demonstrated temperature control in simulations of a nonlinear model. In this investigation, the ethanol fermentation system was modeled as a CSTR using a modified Monod equation for microbial growth kinetics. Various dynamic behavioral disturbances were explored and verified in the model with plant data in this study. The simulation model results were validated through plant data. The proposed method showed superior closed-loop performance with respect to errors, with the actuators proving to be effective than other reported methods for temperature control.

摘要

由于能源安全意识的增强,全球能源需求正在显著飙升。像乙醇这样的可再生能源正变得更具可行性。在本研究中,建议采用具有分程控制策略的粒子群优化-比例积分微分(PSO-PID)控制器来调节发酵系统内的温度。为了优化性能,构建了一种采用分程布置、利用两个控制阀分别控制热公用工程和冷公用工程的PSO-PID控制器。该研究首先考察了乙醇生产发酵过程中系统对入口温度和浓度扰动的开环动态响应。随后,通过在稳态工作点进行线性化建立了传递函数模型。通过粒子群优化算法对PSO-PID控制器参数进行优化来实现分程控制器结构,在非线性模型仿真中有效地实现了温度控制。在本研究中,采用修正的莫诺德方程描述微生物生长动力学,将乙醇发酵系统建模为连续搅拌釜式反应器(CSTR)。利用工厂数据在模型中探索并验证了各种动态行为扰动。通过工厂数据对仿真模型结果进行了验证。所提出的方法在误差方面显示出卓越的闭环性能,事实证明该执行器在温度控制方面比其他已报道的方法更有效。

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