Active Disturbance Rejection Control over Superheated Steam Temperature Based on Multi-objective Particle Swarm Optimization

Regarding the existing issues in the control of superheated steam temperature, which are related to the control system dynamic characteristics, such as large inertia, long duration of time lag and strong nonlinearities, as well as the difficulties to set the parameters of the controller under certai...

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Main Authors: Haiming NIU, Jiao YU, Changfu DING, Zhaohui WANG, Bin TIAN
Format: Article
Language:zho
Published: State Grid Energy Research Institute 2020-03-01
Series:Zhongguo dianli
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Online Access:https://www.electricpower.com.cn/CN/10.11930/j.issn.1004-9649.201908096
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author Haiming NIU
Jiao YU
Changfu DING
Zhaohui WANG
Bin TIAN
author_facet Haiming NIU
Jiao YU
Changfu DING
Zhaohui WANG
Bin TIAN
author_sort Haiming NIU
collection DOAJ
description Regarding the existing issues in the control of superheated steam temperature, which are related to the control system dynamic characteristics, such as large inertia, long duration of time lag and strong nonlinearities, as well as the difficulties to set the parameters of the controller under certain disturbances, this paper presents the cascade active disturbance rejection control-linear active disturbance rejection control (ADRC-LADRC) strategy. Specifically, in the outer loop the proposed method uses nonlinear active disturbance rejection control to reduce the overshoot, while in the inner loop it uses linear active disturbance rejection control to quickly respond to and then suppress the disturbance. At the same time, the multi-objective particle swarm optimization algorithm is used to optimize the parameters in the control loop. The test and engineering applications show that the ADRC-LADRC control strategy based on multi-objective particle swarm optimization algorithm has better control performance and strong anti-interference capability. Also it can quickly respond to disturbances and track the set values to keep the superheated steam temperature stable.
format Article
id doaj-art-e69df5d957204c3b9b6d461a35d2af0c
institution DOAJ
issn 1004-9649
language zho
publishDate 2020-03-01
publisher State Grid Energy Research Institute
record_format Article
series Zhongguo dianli
spelling doaj-art-e69df5d957204c3b9b6d461a35d2af0c2025-08-20T02:57:32ZzhoState Grid Energy Research InstituteZhongguo dianli1004-96492020-03-0153312613310.11930/j.issn.1004-9649.201908096zgdl-53-3-niuhaimingActive Disturbance Rejection Control over Superheated Steam Temperature Based on Multi-objective Particle Swarm OptimizationHaiming NIU0Jiao YU1Changfu DING2Zhaohui WANG3Bin TIAN4Beijing Engineering Research Center of Power Station Automation, Beijing GuoDian ZhiShen Co., Ltd., Beijing 102200, ChinaSchool of Energy Power and Mechanical Engineering, North China Electric Power University, Baoding 071003, ChinaSchool of Energy Power and Mechanical Engineering, North China Electric Power University, Baoding 071003, ChinaDepartment of Automation, Beijing University of Chemical Technology, Beijing 100029, ChinaBeijing Engineering Research Center of Power Station Automation, Beijing GuoDian ZhiShen Co., Ltd., Beijing 102200, ChinaRegarding the existing issues in the control of superheated steam temperature, which are related to the control system dynamic characteristics, such as large inertia, long duration of time lag and strong nonlinearities, as well as the difficulties to set the parameters of the controller under certain disturbances, this paper presents the cascade active disturbance rejection control-linear active disturbance rejection control (ADRC-LADRC) strategy. Specifically, in the outer loop the proposed method uses nonlinear active disturbance rejection control to reduce the overshoot, while in the inner loop it uses linear active disturbance rejection control to quickly respond to and then suppress the disturbance. At the same time, the multi-objective particle swarm optimization algorithm is used to optimize the parameters in the control loop. The test and engineering applications show that the ADRC-LADRC control strategy based on multi-objective particle swarm optimization algorithm has better control performance and strong anti-interference capability. Also it can quickly respond to disturbances and track the set values to keep the superheated steam temperature stable.https://www.electricpower.com.cn/CN/10.11930/j.issn.1004-9649.201908096active disturbance rejection control (adrc)superheated steam temperaturemulti-objective particle swarm optimization algorithm (mopso)cascade control system
spellingShingle Haiming NIU
Jiao YU
Changfu DING
Zhaohui WANG
Bin TIAN
Active Disturbance Rejection Control over Superheated Steam Temperature Based on Multi-objective Particle Swarm Optimization
Zhongguo dianli
active disturbance rejection control (adrc)
superheated steam temperature
multi-objective particle swarm optimization algorithm (mopso)
cascade control system
title Active Disturbance Rejection Control over Superheated Steam Temperature Based on Multi-objective Particle Swarm Optimization
title_full Active Disturbance Rejection Control over Superheated Steam Temperature Based on Multi-objective Particle Swarm Optimization
title_fullStr Active Disturbance Rejection Control over Superheated Steam Temperature Based on Multi-objective Particle Swarm Optimization
title_full_unstemmed Active Disturbance Rejection Control over Superheated Steam Temperature Based on Multi-objective Particle Swarm Optimization
title_short Active Disturbance Rejection Control over Superheated Steam Temperature Based on Multi-objective Particle Swarm Optimization
title_sort active disturbance rejection control over superheated steam temperature based on multi objective particle swarm optimization
topic active disturbance rejection control (adrc)
superheated steam temperature
multi-objective particle swarm optimization algorithm (mopso)
cascade control system
url https://www.electricpower.com.cn/CN/10.11930/j.issn.1004-9649.201908096
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AT jiaoyu activedisturbancerejectioncontroloversuperheatedsteamtemperaturebasedonmultiobjectiveparticleswarmoptimization
AT changfuding activedisturbancerejectioncontroloversuperheatedsteamtemperaturebasedonmultiobjectiveparticleswarmoptimization
AT zhaohuiwang activedisturbancerejectioncontroloversuperheatedsteamtemperaturebasedonmultiobjectiveparticleswarmoptimization
AT bintian activedisturbancerejectioncontroloversuperheatedsteamtemperaturebasedonmultiobjectiveparticleswarmoptimization