Design of fractional order PID controller based on minimum variance control and application of dynamic data reconciliation for improving control performance

被引：10
|
作者：
Xia, Tao [1 ]
Zhang, Zhengjiang [1 ]
Hong, Zhihui [1 ]
Huang, Shipei [1 ]
机构：
[1] Wenzhou Univ, Natl & Local Joint Engn Lab Elect Digital Design T, Wenzhou 325000, Zhejiang, Peoples R China
来源：
ISA TRANSACTIONS | 2023年 / 133卷
基金：
中国国家自然科学基金;
关键词：
Minimum variance control; Fractional order PID; Dynamic data reconciliation; Measurement noise; Control performance; ENHANCING PERFORMANCE; FEEDBACK;
D O I：
10.1016/j.isatra.2022.06.041
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Fractional order PID (FOPID) has received much attention in recent years and has been applied in different fields. However, the parameter tuning of FOPID is a tough problem. In order to design an optimal FOPID controller, a parameter tuning method based on minimum variance control (MVC) rule is proposed in both SISO and MIMO control systems Considering the influence of measurement noise with Gaussian and non-Gaussian distribution, which is generally ignored in the controller design based on MVC rule, this paper applies dynamic data reconciliation (DDR) technology to suppress its influence and improve the control performance of the designed FOPID. In the case of considering Gaussian and non-Gaussian distributed measurement noise, SISO and MIMO control systems are employed to verify the effectiveness of the proposed FOPID parameter tuning and DDR method. The results show that the designed FOPID improves the performance of the control system, and the DDR technology suppresses the negative effect of measurement noise and improves the control performance of the designed FOPID.(c) 2022 ISA. Published by Elsevier Ltd. All rights reserved.
引用
收藏
页码：91 / 101
页数：11
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