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All Journal IAES International Journal of Artificial Intelligence (IJ-AI)
Abbas H. Issa
University of Technology
Computer Science & IT Engineering

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Robustness enhancement study of augmented positive identification controller by a sigmoid function Abbas H. Issa; Sarab A. Mahmood; Abdulrahim T. Humod; Nihad M. Ameen
IAES International Journal of Artificial Intelligence (IJ-AI) Vol 12, No 2: June 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijai.v12.i2.pp686-695

Abstract

The dissolved oxygen concentration in the wastewater treatment process (WWTP) must remain in a specific range while the factory operates. The augmented positive identification (PID) controller with a nonlinear element (sigmoid function) is proposed to assure stability and reduce uncertainties in the wastewater direct reuse/recycling model. The nonlinear controller gains (PID controller with sigmoid function) for uncertain wastewater treatment processes are tuned using the particle swarm optimization (PSO) technique. The proposed robust method for controlling wastewater treatment processes has good robustness during model mismatching, reduces treatment time compared to traditional positive identification (PID) controllers tuned by PSO, is easy to apply, and has good performance, according to simulation results.
Co-Authors Abdulrahim T. Humod Nihad M. Ameen Sarab A. Mahmood