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基于模型改进的LADRC在废液焚烧系统中的应用
引用本文:李艳,胡振. 基于模型改进的LADRC在废液焚烧系统中的应用[J]. 信息与控制, 2022, 51(4): 433-443. DOI: 10.13976/j.cnki.xk.2022.1249
作者姓名:李艳  胡振
作者单位:1. 陕西科技大学电气与控制工程学院, 陕西 西安 710021;2. 陕西省农产品加工技术研究院, 陕西 西安 710021
基金项目:咸阳市重点研发计划项目(2020k02-16)
摘    要:针对废液焚烧系统强耦合、强干扰及非线性所带来的控制瓶颈,提出一种基于理想模型的改进型线性自抗扰控制(linear active disturbance rejection control,LADRC)策略。首先针对焚烧过程建立其理想模型,并设计相应的LADRC,然后将该控制器分别作用于理想模型和实际系统,根据两者的输出...

关 键 词:废液焚烧  数学模型  线性自抗扰控制(LADRC)  PID神经网络  模型补偿器  
收稿时间:2021-06-16

Application of LADRC Based on Model Improvement in Waste Liquid Incineration System
LI Yan,HU Zhen. Application of LADRC Based on Model Improvement in Waste Liquid Incineration System[J]. Information and Control, 2022, 51(4): 433-443. DOI: 10.13976/j.cnki.xk.2022.1249
Authors:LI Yan  HU Zhen
Affiliation:1. School of Electrical and Control Engineering, Shanxi University of Science and Technology, Xi'an 710021, China;2. Shaanxi Agricultural Products Processing Technology Research Institute, Xi'an 710021, China
Abstract:Aiming at the control bottleneck caused by the strong coupling, strong interference, and nonlinearity of a waste liquid incineration system, an improved linear active disturbance rejection control (LADRC) strategy based on an ideal model is proposed. First, the ideal model is established for the incineration process, and the corresponding LADRC is designed. Then, the controller is applied to the ideal model and actual system. A PID neural network compensator based on the output deviation of the two models is established, and the traditional LADRC is improved using this compensator to improve the ability of observation and anti-disturbance caused by the limitation of the observer by the system itself. The simulation results show that the improved LADRC has a stronger anti-disturbance ability and better robustness than the PID control and traditional LADRC.
Keywords:waste liquid incineration  mathematical model  linear active disturbance rejection control (LADRC)  PID neural network  model compensator  
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