LAPSE:2018.0678
Published Article
LAPSE:2018.0678
Experimental Study on the Performance of Controllers for the Hydrogen Gas Production Demanded by an Internal Combustion Engine
Marisol Cervantes-Bobadilla, Ricardo Fabricio Escobar-Jiménez, José Francisco Gómez-Aguilar, Jarniel García-Morales, Víctor Hugo Olivares-Peregrino
September 21, 2018
This work presents the design and application of two control techniques—a model predictive control (MPC) and a proportional integral derivative control (PID), both in combination with a multilayer perceptron neural network—to produce hydrogen gas on-demand, in order to use it as an additive in a spark ignition internal combustion engine. For the design of the controllers, a control-oriented model, identified with the Hammerstein technique, was used. For the implementation of both controllers, only 1% of the overall air entering through the throttle valve reacted with hydrogen gas, allowing maintenance of the hydrogen⁻air stoichiometric ratio at 34.3 and the air⁻gasoline ratio at 14.6. Experimental results showed that the average settling time of the MPC controller was 1 s faster than the settling time of the PID controller. Additionally, MPC presented better reference tracking, error rates and standard deviation of 1.03 × 10 − 7 and 1.06 × 10 − 14 , and had a greater insensitivity to measurement noise, resulting in greater robustness to disturbances. Finally, with the use of hydrogen as an additive to gasoline, there was an improvement in thermal and combustion efficiency of 4% and 0.6%, respectively, and an increase in power of 545 W, translating into a reduction of fossil fuel use.
Keywords
digital PID, hydrogen production control, Model Predictive Control
Suggested Citation
Cervantes-Bobadilla M, Escobar-Jiménez RF, Gómez-Aguilar JF, García-Morales J, Olivares-Peregrino VH. Experimental Study on the Performance of Controllers for the Hydrogen Gas Production Demanded by an Internal Combustion Engine. (2018). LAPSE:2018.0678
Author Affiliations
Cervantes-Bobadilla M: Posgrado del Tecnológico Nacional de México/Centro Nacional de Investigación y Desarrollo Tecnológico. Int. Internado Palmira S/N, Palmira C.P.62490, Cuernavaca, Morelos 62324, Mexico
Escobar-Jiménez RF: Tecnológico Nacional de México/Centro Nacional de Investigación y Desarrollo Tecnológico. Int. Internado Palmira S/N, Palmira C.P.62490, Cuernavaca, Morelos 62324, Mexico [ORCID]
Gómez-Aguilar JF: CONACyT-Tecnológico Nacional de México/CENIDET. Interior Internado Palmira S/N, Col. Palmira C.P.62490, Cuernavaca, Morelos 63324, Mexico [ORCID]
García-Morales J: Tecnológico Nacional de México/Centro Nacional de Investigación y Desarrollo Tecnológico. Int. Internado Palmira S/N, Palmira C.P.62490, Cuernavaca, Morelos 62324, Mexico
Olivares-Peregrino VH: Tecnológico Nacional de México/Centro Nacional de Investigación y Desarrollo Tecnológico. Int. Internado Palmira S/N, Palmira C.P.62490, Cuernavaca, Morelos 62324, Mexico
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Journal Name
Energies
Volume
11
Issue
8
Article Number
E2157
Year
2018
Publication Date
2018-08-18
Published Version
ISSN
1996-1073
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Original Submission
Other Meta
PII: en11082157, Publication Type: Journal Article
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LAPSE:2018.0678
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doi:10.3390/en11082157
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Sep 21, 2018
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Calvin Tsay
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