2013
DOI: 10.7305/automatika.54-2.165
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State Variables Estimation of Fuel Cell—Boost Converter System Using Fast Output Sampling Method

Abstract: Original scientific paperEstimation of state variables of a peak current mode (PCM) controlled DC-DC boost converter supplied by a PEM fuel cell is described in this paper. Since this system is highly nonlinear and non-minimum phase, its state variables are estimated by using fast output sampling method. Estimated state variables are the converter output voltage and its first derivative, and they are suitable for model reference adaptive control or sliding mode based control techniques. The estimator has been … Show more

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Cited by 2 publications
(2 citation statements)
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“…The block schematics of the adaptive system with nonlinear models of the fuel cell BCS 64-32 and PCM boost converter, with a fast output sampling (FOS) estimator of state variables [21,40], for the simulation in MATLAB-SIMULINK is shown in Fig. 17.…”
Section: B Simulation Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…The block schematics of the adaptive system with nonlinear models of the fuel cell BCS 64-32 and PCM boost converter, with a fast output sampling (FOS) estimator of state variables [21,40], for the simulation in MATLAB-SIMULINK is shown in Fig. 17.…”
Section: B Simulation Resultsmentioning
confidence: 99%
“…In the LabVIEW software environment the adaptive controller with reduced order reference model and signal adaptation algorithm, and with the FOS estimator of the state variables [21,40], is implemented for application in a National Instruments CompactRIO 9024 FPGA hardware system. The adaptive algorithm is realized with the sample time τ=30 μs.…”
Section: Experimental Results With the Fos Estimatormentioning
confidence: 99%