Parameters Optimization of ADRC Based on Adaptive CPSO Algorithm and its Application in Main-steam Temperature Control System

被引：0

作者：

Hou, Guolian ^{[1
]}

Wang, Mengyi ^{[1
]}

Gong, Linjuan ^{[1
]}

Zhang, Jianhua ^{[1
]}

机构：

[1] North China Elect Power Univ, Sch Control & Comp Engn, Beijing, Peoples R China

来源：

PROCEEDINGS OF THE 2018 13TH IEEE CONFERENCE ON INDUSTRIAL ELECTRONICS AND APPLICATIONS (ICIEA 2018) | 2018年

基金：

美国国家科学基金会;

关键词：

Main-steam Temperature; ADRC; Adaptive CPSO Algorithm; Parameters Optimization;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

The main-steam temperature of thermal power units is an important control parameter to the safety and economic operation of the thermal power plant. In this paper, an ADRC based cascade control strategy is adopted in main-steam temperature system and its parameters are optimized by an adaptive chaotic particle swarm optimization (ACPSO) algorithm. This parameters optimization method breaks through the limitations of the conventional bandwidth method and the optimal ADRC parameters could be founded automatically to meet the practical control requirements. Simulation results indicate that the optimal design method is feasible, and that the ACPSO-optimized ADRC has better performance.

引用

页码：497 / 501

页数：5

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