压缩式制冷系统预测自抗扰控制

李冬辉; 高亚男

doi:10.7652/xjtuxb202011012

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压缩式制冷系统预测自抗扰控制

更新时间：2025-07-09

- 压缩式制冷系统预测自抗扰控制
- Predictive Auto Disturbance Rejection Control for Compression Refrigeration System
- 西安交通大学学报 2020年54卷第11期页码：98-105+120
- 作者机构：
  
  天津大学电气自动化与信息工程学院,天津,300072
- 作者简介：
- 基金信息：
  
  : 2020-04-28。作者简介: 李冬辉(1962—),男,教授,博士生导师。基金项目: 国家自然科学基金资助项目(61873180)
- DOI：10.7652/xjtuxb202011012
  中图分类号： TP273
- 网络首发：2020-11-10，
  
  纸质出版：2020
- 稿件说明：
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李冬辉, 高亚男. 压缩式制冷系统预测自抗扰控制[J]. 西安交通大学学报, 2020,54(11):98-105+120.

Predictive Auto Disturbance Rejection Control for Compression Refrigeration System[J]. 2020, 54(11): 98-105+120.
李冬辉, 高亚男. 压缩式制冷系统预测自抗扰控制[J]. 西安交通大学学报, 2020,54(11):98-105+120. DOI： 10.7652/xjtuxb202011012.

Predictive Auto Disturbance Rejection Control for Compression Refrigeration System[J]. 2020, 54(11): 98-105+120. DOI： 10.7652/xjtuxb202011012.

摘要

针对压缩式制冷系统在运行过程中存在的大时滞、强耦合以及外部干扰等问题

提出一种基于有限时间扩张状态观测器的预测自抗扰控制策略。通过对压缩式制冷系统进行模型辨识

得到双输入双输出的传递函数矩阵。采用Smith预估控制器对制冷系统的实际输出进行预测

减少运行过程中时滞特性的影响。通过串联解耦控制器

将制冷系统解耦为两个单输入单输出系统。为了提高系统的抗干扰能力和响应速度

提出一种有限时间收敛的扩张状态观测器

并通过构造Lyapunov函数证明了其有限时间收敛性。采用有限时间收敛的扩张状态观测器和控制律对解耦后的系统进行状态估计和扰动补偿

并利用比例控制器进行控制

进而实现过热度和蒸发温度的独立控制。将所提控制策略与基于线性扩张状态观测器的预测自抗扰控制策略进行比较。仿真结果表明

所提控制策略使得调节时间减少50%左右

动态降落减少30%左右

且在参数摄动时具有良好的鲁棒性。实验结果表明

所提控制策略使得调节时间减少30%左右

动态降落减少12%左右

制冷系统的动态性能和抗干扰性能得到有效提高。

Abstract

Aiming at large time delay

strong coupling and external disturbance in compression refrigeration system

a predictive auto disturbance rejection control strategy with finite time extended state observer is proposed. Via model identification of compression refrigeration system

the transfer function matrix of double input and double output is obtained. The Smith predictor is used to predict the actual output of the refrigeration system

so as to reduce the influence of time delay in the operation process. Then the refrigeration system is decoupled into two single input and single output systems by series of decoupling controller. To improve the disturbance rejection ability and response rate of this system

a finite time convergent extended state observer is introduced

and its finite time convergence is proved by the constructing Lyapunov function. The state estimation and disturbance compensation of the decoupled system are carried out by the finite time convergent extended state observer and control law

and the proportional controller is used to control the system

thus the independent control of superheat and evaporator temperature is realized. Compared with the predictive auto disturbance rejection control based on the linear extended state observer

the simulation results show that this strategy can reduce the regulation time by about 50%

the dynamic landing by about 30%

and has good robustness when the parameters are perturbed; the experimental results show that this strategy can reduce the regulation time by about 30%

and the dynamic landing by about 12%. The dynamic performance and disturbance rejection performance of refrigeration system are significantly improved.

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