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

Maimun, Huja Husin and Mohamad Faizrizwan, Mohd Sabri and Kismet, Hong Ping and Norazlina, Bateni and Shamsiah, Suhaili (2024) Energy efficiency in activated sludge process using adaptive iterative learning control with PI ABAC. Bulletin of Electrical Engineering and Informatics (BEEI), 13 (2). pp. 885-892. ISSN 2302-9285

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Abstract

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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