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A Scalable-Bandwidth Extended State Observer-Based Adaptive Sliding-Mode Control for the Dissolved Oxygen in a Wastewater Treatment Process
IEEE Transactions on Cybernetics ( IF 9.4 ) Pub Date : 2021-09-20 , DOI: 10.1109/tcyb.2021.3108166
Wei Wei 1 , Nan Chen 1 , Zhiyuan Zhang 1 , Zaiwen Liu 1 , Min Zuo 2 , Kun Liu 3 , Yuanqing Xia 3
Affiliation  

Strong nonlinearities, uncertainties, and disturbances present great challenges to the control of the dissolved oxygen (DO) in a wastewater treatment process (WWTP). To deal with those undesired issues, in this article, a scalable-bandwidth extended state observer (SESO) is proposed, and the SESO-based adaptive sliding-mode control (ASMC) is designed. By the SESO, the time-varying total disturbance can be estimated more accurately and compensated more effectively. For the disturbances that are not addressed completely, an ASMC is employed to suppress them. Due to the advantages of both SESO and ASMC, the DO can be regulated more desirably. The benchmark simulation model Number 1 is taken to verify the proposed SESO-based ASMC. Comparative simulation results highlight the advantages of the proposed approach.

中文翻译:


废水处理过程中溶解氧的基于可扩展带宽扩展状态观测器的自适应滑模控制



强烈的非线性、不确定性和干扰对废水处理过程 (WWTP) 中溶解氧 (DO) 的控制提出了巨大的挑战。为了解决这些问题,本文提出了一种可扩展带宽扩展状态观测器(SESO),并设计了基于SESO的自适应滑模控制(ASMC)。通过SESO,可以更准确地估计时变总扰动并更有效地进行补偿。对于没有完全解决的干扰,采用ASMC来抑制。由于SESO和ASMC两者的优点,可以更理想地调节DO。采用 1 号基准仿真模型来验证所提出的基于 SESO 的 ASMC。比较仿真结果凸显了所提出方法的优点。
更新日期:2021-09-20
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