Control allocation based fault-tolerant strategy for a bio-ethanol processor system integrated to a PEM fuel cell

Abstract This paper presents a control approach to obtain actuator fault tolerance in a bio-ethanol processor system coupled with a proton exchange membrane fuel cell. The proposed strategy is based on the development of two cascaded modules. First, a high-level controller consisting on single-input single-output conventional proportional-integral control loops is designed for computing virtual actions which represent the overall control effort. Second, a control allocation module is proposed for the on-line redistribution of the virtual commands onto the available healthy actuators. This scheme is able to compensate from actuator position/rate saturations, to severe abnormal events such as loss of effectiveness and lock-in-place actuator faults. Some attractive features of the proposal are: (i) the control structure design is exclusively based on a steady-state model of the process, (ii) different actuator faults can be efficiently handled without the need of reconfiguring the high-level controller, (iii) the control and optimization tasks are efficiently integrated demanding a reduced computation time, (iv) the on-line controller re-allocation allows to manage not predefined actuator faults, (v) a considerable set of disturbances can be rejected with remarkable performance. Dynamic simulations performed on a rigorous nonlinear model of the process show the benefits of the proposed strategy for both fault-free as well as different fault situations comprising partial and total actuator faults.

[1]  Steven X. Ding,et al.  Fault-tolerant model predictive control of a direct methanol-fuel cell system with actuator faults , 2017 .

[2]  Pablo A. Marchetti,et al.  Multivariable Control Structure Design Based on Mixed-Integer Quadratic Programming , 2017 .

[3]  Cédric Damour,et al.  Passive Fault Tolerant Control of PEMFC air feeding system , 2016 .

[4]  Marta Basualdo,et al.  A rigorous computational model for hydrogen production from bio-ethanol to feed a fuel cell stack , 2012 .

[5]  Rolf Isermann,et al.  Fault-Diagnosis Applications: Model-Based Condition Monitoring: Actuators, Drives, Machinery, Plants, Sensors, and Fault-tolerant Systems , 2011 .

[6]  Daniel Eduardo Rivera Flores UNA METODOLOGÍA PARA LA IDENTIFICACIÓN INTEGRADA CON EL DISEÑO DE CONTROLADORES IMC-PID , 2007 .

[7]  Cédric Damour,et al.  Fault Tolerant Control Strategy applied to PEMFC water management , 2015 .

[8]  Xiaojuan Wu,et al.  Fault tolerance control for proton exchange membrane fuel cell systems , 2016 .

[9]  Rachid Outbib,et al.  PEM fuel cells with bio-ethanol processor systems : a multidisciplinary study of modelling, simulation, fault diagnosis and advanced control , 2012 .

[10]  Carlos Ocampo-Martinez,et al.  Model predictive control for ethanol steam reformers with membrane separation , 2017 .

[11]  David Zumoffen,et al.  Plant-wide control design based on steady-state combined indexes. , 2016, ISA transactions.

[12]  Michel Kinnaert,et al.  Diagnosis and Fault-Tolerant Control , 2004, IEEE Transactions on Automatic Control.

[13]  Marta Basualdo,et al.  Model predictive control to ensure high quality hydrogen production for fuel cells , 2014 .

[14]  Michael C. Georgiadis,et al.  Model predictive control (MPC) strategies for PEM fuel cell systems – A comparative experimental demonstration , 2018 .

[15]  Jordi Llorca,et al.  Design of linear controllers applied to an ethanol steam reformer for PEM fuel cell applications , 2013 .

[16]  Ola Härkegård,et al.  Efficient active set algorithms for solving constrained least squares problems in aircraft control allocation , 2002, CDC.

[17]  Ron J. Patton,et al.  What is Fault-Tolerant Control? , 2000 .

[18]  Andreas Jossen,et al.  Ethanol catalytic membrane reformer for direct PEM FC feeding , 2013 .

[19]  David Zumoffen,et al.  Plant-wide control design for fuel processor system with PEMFC , 2012 .

[20]  Vicenç Puig,et al.  Model-based fault diagnosis in PEM fuel cell systems , 2009 .

[21]  Michel Benne,et al.  A review of fault tolerant control strategies applied to proton exchange membrane fuel cell systems , 2017 .

[22]  David Zumoffen,et al.  Plantwide Control Design Based on the Control Allocation Approach , 2018 .

[23]  D. Leung,et al.  A review on reforming bio-ethanol for hydrogen production , 2007 .

[24]  Carlos Ocampo-Martinez,et al.  Fault-Tolerant Unfalsified Control for PEM Fuel Cell Systems , 2015, IEEE Transactions on Energy Conversion.

[25]  José Luis Aprea Hydrogen energy demonstration plant in Patagonia: Description and safety issues , 2009 .

[26]  H. Abdi,et al.  Principal component analysis , 2010 .

[27]  David Zumoffen,et al.  Plant-wide control strategy applied to the Tennessee Eastman process at two operating points , 2011, Comput. Chem. Eng..

[28]  Jin Jiang,et al.  Fault-tolerant control systems: A comparative study between active and passive approaches , 2012, Annu. Rev. Control..

[29]  Carlos E. Garcia,et al.  Internal model control. 2. Design procedure for multivariable systems , 1985 .

[30]  David Zumoffen,et al.  Low cost monitoring system for safe production of hydrogen from bio-ethanol , 2013 .

[31]  Anand Rajaraman,et al.  Mining of Massive Datasets , 2011 .

[32]  Marc Bodson,et al.  Evaluation of optimization methods for control allocation , 2001 .

[33]  Wan Ramli Wan Daud,et al.  PEM fuel cell system control: A review , 2017 .

[34]  P. Seferlis,et al.  Dynamic modeling and control analysis of a methanol autothermal reforming and PEM fuel cell power system , 2017 .

[35]  Tor Arne Johansen,et al.  Control allocation - A survey , 2013, Autom..

[36]  Marcin Witczak,et al.  Predictive actuator fault-tolerant control under ellipsoidal bounding , 2016 .

[37]  Rufino M. Navarro,et al.  Hydrogen production from renewable sources: biomass and photocatalytic opportunities , 2009 .

[38]  Marta Basualdo,et al.  Fault-tolerant control design for safe production of hydrogen from bio-ethanol , 2014 .

[39]  Kenneth M. Sobel,et al.  Eigenstructure assignment for the control of highly augmented aircraft , 1989 .