基于改进型蜣螂算法Fuzzy-Smith-LADRC混凝投药
作者:
作者单位:

1.桂林理工大学机械与控制工程学院 桂林 541006; 2.广西高校先进制造与自动化技术重点实验室 桂林 541006

中图分类号:

TN868

基金项目:

国家自然科学基金(52467022)、广西自然科学基金 (2021GXNSFAA220038)项目资助


Coagulation dosing based on an improved dung beetle algorithm Fuzzy-Smith-LADRC
Author:
Affiliation:

1.School of Mechanical and Control Engineering, Guilin University of Technology,Guilin 541006, China; 2.Guangxi Higher Education Key Laboratory of Advanced Manufacturing and Automation Technology, Guilin 541006, China

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    摘要:

    二十届三中全会强调全面落实深化改革水利任务,其中居民饮用水是重点民生任务,混凝工艺是饮用水处理的关键环节。由于混凝过程具有大时滞特性,故对于原水水质频繁变化的控制系统,常规的PID控制不能达到满意的效果。为此,将一种不依赖系统精确模型的线性自抗扰控制器(LADRC)应用于系统中,利用扩张观测器对混凝控制系统中出现的扰动进行估计并补偿,同时设计史密斯预估器(Smith)与模糊控制器(Fuzzy)相结合的自适应史密斯控制器来消除大时滞对控制效果的影响,提出Fuzzy-Smith-LADRC控制器。针对控制器参数调节困难而引入改进型蜣螂算法(MSIDBO)进行参数整定。改进型算法对DBO算法中初始种群分布不均匀、易陷入局部最优解等问题进行优化,使得MSIDBO能快速收敛并更好平衡全局探索与局部开发能力。系统模型精确时,该控制方法比PID控制的调节时间减少279 s和超调量降低8%,比DMC控制的调节时间减少40 s,系统模型变化时,相比LADRC具有更好的抗干扰性与鲁棒性。

    Abstract:

    The 20th Central Committee′s Third Plenary Session emphasized the comprehensive implementation of water conservancy reform tasks, with a focus on residential drinking water as a key livelihood task. The coagulation process is a critical step in drinking water treatment. Due to the significant time delay characteristic of the coagulation process, conventional PID control cannot achieve satisfactory results for control systems with frequent changes in raw water quality. Therefore, a linear active disturbance rejection controller (LADRC), which does not rely on an accurate system model, is applied to the system. An extended observer is used to estimate and compensate for disturbances in the coagulation control system. Additionally, an adaptive Smith controller, combining a Smith predictor with a fuzzy controller, is designed to mitigate the impact of large time delays on control effectiveness, leading to the proposed Fuzzy-Smith-LADRC controller. To address the difficulties in adjusting the controller parameters, an improved dung beetle optimization algorithm (MSIDBO) is introduced for parameter tuning. This improved algorithm optimizes issues such as uneven initial population distribution and the tendency to fall into local optima found in the DBO algorithm, enabling MSIDBO to converge quickly and better balance global exploration and local exploitation capabilities. When the system model is accurate, this control method reduces the settling time by 279 s and decreases overshoot by 8% compared to PID control, it also reduces settling time by 40 s compared to DMC control. When the system model changes, it demonstrates better anti-disturbance and robustness compared to LADRC.

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王文成,余智科,郑诗翰.基于改进型蜣螂算法Fuzzy-Smith-LADRC混凝投药[J].电子测量技术,2025,48(3):10-17

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  • 在线发布日期: 2025-03-20
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