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@ARTICLE{Xu:840135,
      author       = {Xu, Liangfei and Hu, Junming and Cheng, Siliang and Fang,
                      Chuan and Li, Jianqiu and Ouyang, Minggao and Lehnert,
                      Werner},
      title        = {{R}obust control of internal states in a polymer
                      electrolyte membrane fuel cell air-feed system by
                      considering actuator properties},
      journal      = {International journal of hydrogen energy},
      volume       = {42},
      number       = {18},
      issn         = {0360-3199},
      address      = {New York, NY [u.a.]},
      publisher    = {Elsevier},
      reportid     = {FZJ-2017-07695},
      pages        = {13171 - 13191},
      year         = {2017},
      abstract     = {Air stoichiometry, pressure, and relative humidity in the
                      air-feed system of a vehicular polymer electrolyte membrane
                      fuel cell (PEMFC) influence efficiency, durability and
                      reliability. It is critical to develop robust control
                      algorithms for these internal states to improve system
                      performance. There is limited extant research on designing
                      robust control algorithms that consider the three internal
                      states as well as the constraints of real actuators, such as
                      an air compressor, a membrane humidifier, and a back-up
                      pressure valve (BPV). This study examines robust control
                      strategies for the three internal states based on adaptive
                      second order sliding mode (ASOSM) and nonlinear
                      proportional-integral (NPI) feedback control algorithms. In
                      the study, control targets are established based on stable
                      properties of the PEMFC system. The study involves proposing
                      and comparing five control strategies that are a combination
                      of NPI and ASOSM algorithms. The following results are
                      obtained: (1) the stable control targets for the three
                      internal states are followed adequately by using an NPI or
                      an ASOSM algorithm and differences only exists in dynamic
                      processes; (2) with respect to the control of air
                      stoichiometry, an NPI algorithm performs better than an
                      ASOSM algorithm as chattering in air stoichiometry can be
                      avoided and the convergence time to the target value is
                      acceptable; (3) with respect to the control of cathodic
                      pressure, an ASOSM algorithm performs better than an NPI
                      algorithm as the overshoots in cathodic pressures can be
                      effectively reduced; (4) with respect to the control of
                      relative humidity, both NPI and ASOSM algorithms lead to a
                      practical bang–bang strategy. The strategy that performs
                      the best among the five strategies is selected, and the
                      robustness of the selected strategy with respect to
                      parameter uncertainties is verified.},
      cin          = {IEK-3},
      ddc          = {660},
      cid          = {I:(DE-Juel1)IEK-3-20101013},
      pnm          = {135 - Fuel Cells (POF3-135)},
      pid          = {G:(DE-HGF)POF3-135},
      typ          = {PUB:(DE-HGF)16},
      UT           = {WOS:000402347400022},
      doi          = {10.1016/j.ijhydene.2017.03.191},
      url          = {https://juser.fz-juelich.de/record/840135},
}