Linear Active Disturbance Rejection Control of Dissolved Oxygen Concentration Based on Benchmark Simulation Model Number 1
Joint Authors
Source
Mathematical Problems in Engineering
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-01-06
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
In wastewater treatment plants (WWTPs), the dissolved oxygen is the key variable to be controlled in bioreactors.
In this paper, linear active disturbance rejection control (LADRC) is utilized to track the dissolved oxygen concentration based on benchmark simulation model number 1 (BSM1).
Optimal LADRC parameters tuning approach for wastewater treatment processes is obtained by analyzing and simulations on BSM1.
Moreover, by analyzing the estimation capacity of linear extended state observer (LESO) in the control of dissolved oxygen, the parameter range of LESO is acquired, which is a valuable guidance for parameter tuning in simulation and even in practice.
The simulation results show that LADRC can overcome the disturbance existing in the control of wastewater and improve the tracking accuracy of dissolved oxygen.
LADRC provides another practical solution to the control of WWTPs.
American Psychological Association (APA)
Wang, Xiaoyi& Wang, Fan& Wei, Wei. 2015. Linear Active Disturbance Rejection Control of Dissolved Oxygen Concentration Based on Benchmark Simulation Model Number 1. Mathematical Problems in Engineering،Vol. 2015, no. 2015, pp.1-9.
https://search.emarefa.net/detail/BIM-1073131
Modern Language Association (MLA)
Wang, Xiaoyi…[et al.]. Linear Active Disturbance Rejection Control of Dissolved Oxygen Concentration Based on Benchmark Simulation Model Number 1. Mathematical Problems in Engineering No. 2015 (2015), pp.1-9.
https://search.emarefa.net/detail/BIM-1073131
American Medical Association (AMA)
Wang, Xiaoyi& Wang, Fan& Wei, Wei. Linear Active Disturbance Rejection Control of Dissolved Oxygen Concentration Based on Benchmark Simulation Model Number 1. Mathematical Problems in Engineering. 2015. Vol. 2015, no. 2015, pp.1-9.
https://search.emarefa.net/detail/BIM-1073131
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1073131