Observer-based interval type-2 fuzzy PID controller for PEMFC air feeding system using novel hybrid neural network algorithm-differential evolution optimizer

• Published in: Alexandria engineering journal Vol. 61; no. 9; pp. 7353 - 7375
• Main Authors: AbouOmar, Mahmoud S., Su, Yixin, Zhang, Huajun, Shi, Binghua, Wan, Lily
• Format: Journal Article
• Language: English
• Published: Elsevier B.V 01.09.2022; Elsevier
• Subjects: Neural Network Algorithm-Differential Evolution (NNA-DE); Observer-Based Interval Type-2 Fuzzy PID (OB-IT2FPID) Controller; Oxygen Excess Ratio (OER); PEM Fuel Cells (PEMFC); Processor-in-the-Loop (PIL); Processor-in-the-Loop (PIL); PEM Fuel Cells (PEMFC); Oxygen Excess Ratio (OER); Neural Network Algorithm-Differential Evolution (NNA-DE); Observer-Based Interval Type-2 Fuzzy PID (OB-IT2FPID) Controller
• ISSN: 1110-0168; 2090-2670
• DOI: 10.1016/j.aej.2021.12.072

In this paper, a novel hybrid Neural Network Algorithm-Differential Evolution (NNA-DE) optimizer which integrates both NNA and DE is proposed. The proposed hybrid NNA-DE optimizer demonstrates better performance compared to the standard NNA and the other state-of-the-art optimization algorithms. The proposed hybrid NNA-DE algorithm is then employed for optimizing an observer-based interval type-2 fuzzy PID (OB-IT2FPID) controller applied to the proton exchange membrane fuel cell (PEMFC) air feeding system. The whole design parameters of the OB-IT2FPID controller including the scaling factors, interval type-2 membership function parameters and the footprint-of-uncertainty (FOU) are optimized using the proposed hybrid NNA-DE algorithm. The results show that the proposed NNA-DE optimized OB-IT2FPID controller achieves better performance in terms of set-point tracking, disturbance rejection and the time-domain performance indices. The robustness of the proposed NNA-DE optimized OB-IT2FPID controller against parametric uncertainty in the PEMFC air-feeding system is tested. The proposed controller demonstrated better robustness against parameter uncertainty in the system. Processor-in-the-Loop (PIL) approach is adopted to validate the performance of the proposed controller on embedded control hardware.