4.6 Article

Improved data driven model free adaptive constrained control for a solid oxide fuel cell

Journal

IET CONTROL THEORY AND APPLICATIONS
Volume 10, Issue 12, Pages 1412-1419

Publisher

INST ENGINEERING TECHNOLOGY-IET
DOI: 10.1049/iet-cta.2015.0841

Keywords

adaptive control; solid oxide fuel cells; control nonlinearities; nonlinear dynamical systems; linearisation techniques; closed loop systems; Lyapunov methods; stability; data driven model free adaptive constrained control; solid oxide fuel cell; SOFC; complex nonlinearity; operating constraints; improved model free adaptive constrained control scheme; IO measurement data; unknown nonlinear dynamic; compact form dynamic linearisation data driven modelling method; dynamic antiwindup compensator; closed-loop system; Lyapunov stability analysis method

Funding

  1. National Natural Science Foundation of China [61503156]
  2. Fundamental Research Funds for the Central Universities [JUSRP11562, NJ20150011]

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Solid oxide fuel cells (SOFCs) are considered the most important in the field of fuel cells. However, SOFCs give a challenging control problem due to their slow dynamics, complex non-linearity, and operating constraints. In this study, an improved model free adaptive constrained control scheme is proposed to solve the SOFC control problem with I/O measurement data. Since the control terms appear within the unknown non-linear dynamic, an improved compact form dynamic linearisation data driven modelling method is used to simplify the SOFC system. In the design procedure of the controller, a novel dynamic anti-windup compensator is used to deal with the move magnitude and rate saturations of SOFC control input. Moreover, the authors also theoretically prove that all the signals in the closed-loop system are uniformly ultimately bounded based on Lyapunov stability analysis method. Finally, simulation results are given to demonstrate the effectiveness and potential of the proposed constrained control scheme.

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