Input-Output Stability Design of an Ammonium Based Aeration Controller for Wastewater Treatment

Chistiakova, Tatiana; Wigren, Torbjörn; Carlsson, Bengt

doi:10.23919/acc.2018.8431151

Cited by 3 publications

(1 citation statement)

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“…On the other hand, several investigations have demonstrated that sophisticated control systems outperform PI controllers. MPC, for example, is known to be computationally demanding [25]- [27]. As a result, a leaner control method with less complexity is preferable, particularly if the controller will be utilized in a real or pilot plant.…”

Section: Introductionmentioning

confidence: 99%

Energy efficiency in activated sludge process using adaptive iterative learning control with PI ABAC

Huja Husin,

Mohd Sabri,

Hong Ping

et al. 2024

Bulletin EEI

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This paper proposed an iterative learning control (ILC) with a feedback regulator based on proportional integral ammonium-based aeration control (PI ABAC) to improve dissolved oxygen control through data learning of iteration data. The proposed controller's performance is evaluated using benchmark simulation model no. 1. (BSM1). The assessments focused on four main areas: effluent violation, effluent quality, aeration energy, and overall cost index. The proposed ILC PI ABAC controller's effectiveness is evaluated by comparing the performance of the activated sludge process to the BSM1 PI and feedback PI ABAC under three different weather conditions: dry, rain, and storm. The improvement of the proposed method over BSM1 PI is demonstrated by a reduction in aeration energy of up to 24%. In conclusion, if the proposed ILC PI ABAC controller is given enough information, it can be quite successful in achieving energy efficiency.

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Section: Introductionmentioning

confidence: 99%