Dynamic performance improvement of proton exchange membrane fuel cell system by robust loop shaping and artificial intelligence optimized fractional order PI controllers

References

• AL-Taie, F. A., and A. S. Al-Araji. 2023. Development of predictive voltage controller design for PEM fuel cell system based on identifier model. International Journal of Intelligent Engineering and Systems 16 (2):343–60.
   Google Scholar
• Bankupalli, P. T., S. Ghosh, L. Kumar, and S. Samanta. 2018. Fractional order modeling and two loop control of PEM fuel cell for voltage regulation considering both source and load perturbations. International Journal of Hydrogen Energy 43 (12):6294–309. doi:10.1016/j.ijhydene.2018.01.167.
   Web of Science ®Google Scholar
• Baruah, G., S. Majhi, and C. Mahanta. 2019. Design of FOPI controller for time delay systems and its experimental validation. International Journal of Automation & Computing 16 (3):310–28. doi:https://doi.org/10.1007/s11633-018-1165-4.
   Web of Science ®Google Scholar
• Beg, A. H., and M. Z. Islam. 2016. Advantages and limitations of genetic algorithms for clustering records. 2016 IEEE 11th Conference on Industrial Electronics and Applications (ICIEA), 2478–83, doi: 10.1109/ICIEA.2016.7604009.
   Google Scholar
• Chapparya, V., G. M. Krishna, Dwivedi, P., and Bose, S. 2018. Loop shaping controller design for constant output interleaved boost converter using real-time hardware in-the-loop(HIL). Proceedings of the International MultiConference of Engineers and Computer Scientists 2.
   Google Scholar
• Chen, X., Y. Fang, Q. Liu, L. He, Y. Zhao, T. Huang, Z. Wan, and X. Wang. 2022. Temperature and voltage dynamic control of PEMFC stack using MPC method. Energy Reports 8:798–808. doi:10.1016/j.egyr.2021.11.271.
   Web of Science ®Google Scholar
• Cheng, Z., P. Ren, Y. L. Xu, and H. N. Zhang. 2017. Model and control of fuel supply systems of hydrogen/oxygen fuel cell. Journal of Engineering 2017 (13):773–77. doi:10.1049/joe.2017.0436.
   Google Scholar
• Chen, J., Y. Zhan, Y. Guo, J. Zhu, L. Li, and B. Liang. 2018. Fuzzy adaptive pi decoupling control for gas supply system of proton exchange membrane fuel cell. 21st International Conference on Electrical Machines and Systems (ICEMS), 1145–50, doi: 10.23919/ICEMS.2018.8549210.
   Google Scholar
• Cloppenborg, A., C. Rojas, P. Gonzalez, J. Horn, and H. Werner. 2019. Nonlinear model predictive control of a PEM fuel cell with an integrated li-ion battery using qLPV. IEEE 15th International Conference on Control and Automation (ICCA), 1270–76, doi: 10.1109/ICCA.2019.8899516.
   Google Scholar
• Dali, A., S. Abdelmalek, A. Bakdi, and M. Bettayeb. 2021. A novel effective nonlinear state observer based robust nonlinear sliding mode controller for a 6 kW proton exchange membrane fuel cell voltage regulation. Sustainable Energy Technologies and Assessments 44:100996. doi:10.1016/j.seta.2021.100996.
   Web of Science ®Google Scholar
• Derbeli, M., M. Farhat, O. Barambones, and L. Sbita. 2017. Control of proton exchange membrane fuel cell (PEMFC) power system using PI controller, 2017. International Conference on Green Energy Conversion Systems (GECS), 1–5, doi:10.1109/GECS.2017.8066175.
   Google Scholar
• Diaz-Saldierna, L. H., D. Langarica-Córdoba, and J. Leyva-Ramos. 2015. Loop-shaping control of high-step converters for fuel-cell applications. 23rd Mediterranean Conference on Control and Automation (MED), 789–95, doi: 10.1109/MED.2015.7158842.
   Google Scholar
• Divi, S., S. H. Sonawane, and S. Das. 2018. Uncertainty analysis of transfer function of proton exchange membrane fuel cell and design of PI/PID controller for supply manifold pressure control. Indian Chemical Engineer 61 (2):138–52. doi:10.1080/00194506.2018.1510794.
   Web of Science ®Google Scholar
• Gad, A. G. 2022. Particle swarm optimization algorithm and its applications: A systematic review. Archives of Computational Methods in Engineering 29 (5):2531–61. doi:10.1007/s11831-021-09694-4.
   Web of Science ®Google Scholar
• Gerard, M., J. Crouvezier, D. Hissel, and M. Pera. 2010. Oxygen starvation analysis during air feeding faults in PEMFC. International Journal of Hydrogen Energy 35 (22):12295–307. doi:10.1016/j.ijhydene.2010.08.028.
   Web of Science ®Google Scholar
• Gnanamuruga, M., and N. A. Senthilkumar. 2014. Smith predictor for control of the process with long dead time. International Journal of Engineering Research & Technology (IJERT) RTIA 2 (6).
   Google Scholar
• Imran, M., R. Hashim, and N. Khalid. 2013. An overview of particle swarm optimization variants. Procedia Engineering 5:3491–96. doi:10.1016/j.proeng.2013.02.063.
   Google Scholar
• Javaid, U., J. Iqbal, A. Mehmood, A. A. Uppal, and Y. Arya. 2022. Performance improvement in polymer electrolytic membrane fuel cell based on nonlinear control strategies—A comprehensive study. PLoS ONE 17 (2):e0264205. doi:10.1371/journal.pone.0264205.
   PubMed Web of Science ®Google Scholar
• Keek, J. S., S. L. Loh, and S. H. Chong. 2018. Fractional-order proportional-integral (FOPI) controller for mecanum-wheeled robot (MWR) in path-tracking control. International Journal of Mechanical Engineering and Technology (IJMET) 9 (11):325–37.
   Google Scholar
• Kumar, S. S., M. Cirrincione, V. Léchappé, K. R. Ram, and A. Mohammadi. 2021. A simplified control oriented model of an open cathode PEM fuel cell, 2021 IEEE 12th Energy Conversion Congress & Exposition - Asia (ECCE-Asia), 2415–20, doi: 10.1109/ECCE-Asia49820.2021.9479098.
   Google Scholar
• Kumar, M. R., and S. Ghosh. 2018. Hybrid optimization based fopi controller design with real-time validation. IFAC-Papers online 51 (1):78–83. doi:10.1016/j.ifacol.2018.05.014.
   Google Scholar
• Kumar, D. M., H. K. Mudaliar, M. Cirrincione, U. Mehta, and M. Pucci. 2018. Design of a fractional order PI (FOPI) for the speed control of a high-performance electrical drive with an induction motor, 2018. 21st International Conference on Electrical Machines and Systems (ICEMS), 1198–202, doi: 10.23919/ICEMS.2018.8549407.
   Google Scholar
• Kumar, S., I. Thirunavukkarasu, S. S. Kumar, and V. S. Bhat. 2018. Smith predictor based pi controller design for a batch distillation column. International Journal of Pure and Applied Mathematics 118 (22):1109–15.
   Google Scholar
• Li, Q., Cai, L., Yin, L., Wang, T., Li, L., Xie, S. and Chen, W. 2022. An energy management strategy considering the economy and lifetime of multi-stack fuel cell hybrid system, in IEEE Transactions on Transportation Electrification, doi: 10.1109/TTE.2022.3218505.
   Google Scholar
• Li, Q., P. Liu, X. Meng, G. Zhang, Y. Ai, and W. Chen. 2022. Model prediction control-based energy management combining self-trending prediction and subset-searching algorithm for hydrogen electric multiple unit train. IEEE Transactions on Transportation Electrification 8 (2):2249–60. doi:10.1109/TTE.2022.3149479.
   Web of Science ®Google Scholar
• Linli, W., S. Zhangyi, H. Mousavi, and H. Gu. 2022. A novel robust reset controller implemented through field programmable gate array for oxygen ratio regulation of proton exchange membrane fuel cell. Computers & Electrical Engineering 99:107788. doi:10.1016/j.compeleceng.2022.107788.
   Web of Science ®Google Scholar
• Liu, L., X. Liu, N. Wang, and P. Zou. 2018. Modified cuckoo search algorithm with variational parameters and logistic map. Algorithms 11 (3):30. doi:https://doi.org/10.3390/a11030030.
   Web of Science ®Google Scholar
• Lü, X., X. Miao, Y. Xue, L. Deng, M. Wang, D. Gu, and X. Li. 2017. Dynamic modeling and fractional order PIλDμ control of PEM fuel cell. International Journal of Electrochemical Science 12 (8):7518–36. doi:10.20964/2017.08.12.
   Web of Science ®Google Scholar
• Mohamed, A. E., B. A. Manivanna, A. Abudhahir, and S. Velappan. 2019. Direct active fuzzy non-linear controller for pressure regulation in PEM fuel cell. 2019 8th International Conference on Modeling Simulation and Applied Optimization (ICMSAO), 1–5, doi: 10.1109/ICMSAO.2019.8880441.
   Google Scholar
• Mohamed, A. K., and A. W. Mohamed. 2019. Real-parameter unconstrained optimization based on enhanced AGDE Algorithm. Studies in Computational Intelligence 801:431–50. doi:10.1007/978-3-030-02357-7_21.
   Google Scholar
• Petchinathan, G., K. Valarmathi, and T. K. Radhakrishnan. 2017. Optimal tuning of fractional order PI controller using particle swarm optimization for pH process. International Journal of Applied Engineering Research 12 (1): 1–7.
   Google Scholar
• Q, L., L. Yin, H. Yang, T. Wang, Y. Qiu, and W. Chen. 2021. Multiobjective optimization and data-driven constraint adaptive predictive control for efficient and sTABLE OPERATION of PEMFC system. IEEE Transactions on Industrial Electronics 68 (12):12418–29. doi:10.1109/TIE.2020.3040662.
   Web of Science ®Google Scholar
• Saeki, M. 2022. Implementation methods of controllers deSIGNEd by H∞ loop shaping. IEEE Transactions on Automatic Control 1:1–8. doi:10.1109/TAC.2022.3223278.
   Google Scholar
• Sankar, K., N. Thakre, S. M. Singh, and A. Jana. 2017. Sliding mode observer based nonlinear control of a PEMFC integrated with a methanol reformer. Energy, Elsevier 139 (C):1126–43. doi:10.1016/j.energy.2017.08.028.
   Google Scholar
• Shehab, M., L. Abualigah, H. A. Alhamad, H. M. Alabool, M. Alshinwan, and A. M. Khasawneh. 2020. Moth–flame optimization algorithm: Variants and applications. Neural Computing & Applications 32 (14):9859–84. doi:10.1007/s00521-019-04570-6.
   Web of Science ®Google Scholar
• Shih, L., and C. W. Chen. 2020. A model-free loop-shaping method based on iterative learning Control. IFAC-Papers online 53 (2):1403–08. doi:10.1016/j.ifacol.2020.12.1896.
   Google Scholar
• Silaa, M. Y., O. Barambones, M. Derbeli, C. Napole, and A. Bencherif. 2022. Fractional order PID design for a proton exchange membrane fuel cell system using an extended grey wolf optimizer. Processes 10 (3):450. doi:https://doi.org/10.1016/j.ifacol.2020.12.1896.
   Web of Science ®Google Scholar
• Singh, S., V. K. Tayal, H. P. Singh, and V. K. Yadav. 2022. Design of PSO-tuned FOPI & Smith predictor controller for nonlinear polymer electrolyte membrane fuel cell, energy sources, part A: Recovery. Utilization, and Environmental Effects 1–22. doi:10.1080/15567036.2022.2025954.
   Google Scholar
• Skogestad, C. 2018. Should we forget the Smith Predictor? 3rd IFAC Conference on Advances in ProportionalIntegral-Derivative Control 51 (4):769–74. Ghent, Belgium. doi:10.1016/j.ifacol.2018.06.203.
   Google Scholar
• Sung, Y. C., S. V. Patil, and M. G. Safonov. 2016. Data-driven H∞ loop-shaping controller design. International Journal of Robust and Non-Linear Control 28 (12):3678–93. doi:10.1002/rnc.3612.
   Web of Science ®Google Scholar
• Swain, P., and D. Jena. 2015. PID control design for the pressure regulation of PEM fuel cell, 2015. International Conference on Recent Developments in Control, Automation and Power Engineering (RDCAPE), Noida, IEEE, 286–91.
   Google Scholar
• Tayal, V. K., and J. S. Lather. 2015. PSO based robust Fuzzy power system stabilizer design for single machine infinite bus system, Annual IEEE India Conference (INDICON), 1–6. doi: 10.1109/INDICON.2015.7443821
   Google Scholar
• Wang, G. 2018. A comparative study of cuckoo algorithm and ant colony algorithm in optimal path problems. MATEC Web of Conferences, 232:1–6, doi: 10.1051/matecconf/201823203003.
   Google Scholar
• Wihartiko, F. D., H. Wijayanti, and F. Virgantari. 2018. Performance comparison of genetic algorithms and particle swarm optimization for model integer programming bus timetabling problem. IOP Conference Series: Materials Science and Engineering 332 (1):012020. doi:10.1088/1757-899X/332/1/012020.
   Google Scholar
• Xiaojuan, W., and G. Danhui. 2018. Optimal robust control strategy of a solid oxide fuel cell system. Journal of Power Sources 374:225–36. doi:10.1016/j.jpowsour.2017.10.070.
   Web of Science ®Google Scholar
• Zennir, Y., M. Larabi, and H. Benzaroual. 2017. New Smith Predictor controller design for time delay system. In Proceedings of the 14th International Conference on Informatics in Control, Automation and Robotics, 1:598–605, doi: 10.5220/0006426105980605.
   Google Scholar
• Zhang, F., Y. Ma, T. Zhu, and H. Chen. 2019. Nonlinear control of air-feed system for proton exchange membrane fuel cell with auxiliary power battery. Journal of Renewable and Sustainable Energy 11 (5):1–11. doi:10.1063/1.5093984.
   Web of Science ®Google Scholar