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Linearization and Input-Output Decoupling for Nonlinear Control of Proton Exchange Membrane Fuel Cells
Department of Electrical Engineering, National Chin-Yi University of Technology, 57, Section 2, Chungshan Road, Taiping District, Taichung 41107, Taiwan
* Author to whom correspondence should be addressed.
Received: 14 October 2013; in revised form: 4 January 2014 / Accepted: 23 January 2014 / Published: 27 January 2014
Abstract: This paper presents a nonlinear control strategy utilizing the linearization and input-output decoupling approach for a nonlinear dynamic model of proton exchange membrane fuel cells (PEMFCs). The multiple-input single-output (MISO) nonlinear model of the PEMFC is derived first. The dynamic model is then transformed into a multiple-input multiple-output (MIMO) square system by adding additional states and outputs so that the linearization and input-output decoupling approach can be directly applied. A PI tracking control is also introduced to the state feedback control law in order to reduce the steady-state errors due to parameter uncertainty. This paper also proposes an adaptive genetic algorithm (AGA) for the multi-objective optimization design of the tracking controller. The comprehensive results of simulation demonstrate that the PEMFC with nonlinear control has better transient and steady-state performance compared to conventional linear techniques.
Keywords: linearization; input-output decoupling; nonlinear dynamic model; proton exchange membrane fuel cell; adaptive genetic algorithm
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Chang, L.-Y.; Chen, H.-C. Linearization and Input-Output Decoupling for Nonlinear Control of Proton Exchange Membrane Fuel Cells. Energies 2014, 7, 591-606.
Chang L-Y, Chen H-C. Linearization and Input-Output Decoupling for Nonlinear Control of Proton Exchange Membrane Fuel Cells. Energies. 2014; 7(2):591-606.
Chang, Long-Yi; Chen, Hung-Cheng. 2014. "Linearization and Input-Output Decoupling for Nonlinear Control of Proton Exchange Membrane Fuel Cells." Energies 7, no. 2: 591-606.