Fuel cell starvation control using model Predictive technique with laguerre and exponential weight functions
Fuel cell system is a complicated system that requires an efficient controller. Model predictive control is a prime candidate for its optimization and constraint handling features. In this work, an improved model predictive control (MPC) with Laguerre and exponential weight functions is proposed t...
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| Format: | Article |
| Language: | English English |
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Korean Society of Mechanical Engineers
2014
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| Online Access: | http://irep.iium.edu.my/43833/ http://irep.iium.edu.my/43833/1/2014-Fuel_cell_starvation_control_using_model_predictive_technique_with_Laguerre_and_2014.pdf http://irep.iium.edu.my/43833/4/43833_Fuel%20cell%20starvation%20control%20_SCOPUS.pdf |
| _version_ | 1848782514132353024 |
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| author | Abdullah, Muhammad Faris Idres, Moumen |
| author_facet | Abdullah, Muhammad Faris Idres, Moumen |
| author_sort | Abdullah, Muhammad Faris |
| building | IIUM Repository |
| collection | Online Access |
| description | Fuel cell system is a complicated system that requires an efficient controller. Model predictive control is a prime candidate for its optimization
and constraint handling features. In this work, an improved model predictive control (MPC) with Laguerre and exponential
weight functions is proposed to control fuel cell oxygen starvation problem. To get the best performance of MPC, the control and prediction
horizons are selected as large as possible within the computation limit. An exponential weight function is applied to place more emphasis
on the current time and less emphasis on the future time in the optimization process. This leads to stable numerical solution for
large prediction horizons. Laguerre functions are used to capture most of the control trajectory, while reducing the controller computation
time and memory for large prediction horizons. Robustness and stability of the proposed controller are assessed using Monte-Carlo simulations.
Results verify that the modified MPC is able to mimic the performance of the infinite horizon controller, discrete linear quadratic
regulator (DLQR). The controller computation time is reduced approximately by one order of magnitude compared to traditional MPC
scheme. Results from Monte-Carlo simulations prove that the proposed controller is robust and stable up to system parameters uncertainty
of 40%. |
| first_indexed | 2025-11-14T16:06:40Z |
| format | Article |
| id | iium-43833 |
| institution | International Islamic University Malaysia |
| institution_category | Local University |
| language | English English |
| last_indexed | 2025-11-14T16:06:40Z |
| publishDate | 2014 |
| publisher | Korean Society of Mechanical Engineers |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | iium-438332021-08-04T16:03:17Z http://irep.iium.edu.my/43833/ Fuel cell starvation control using model Predictive technique with laguerre and exponential weight functions Abdullah, Muhammad Faris Idres, Moumen TJ Mechanical engineering and machinery Fuel cell system is a complicated system that requires an efficient controller. Model predictive control is a prime candidate for its optimization and constraint handling features. In this work, an improved model predictive control (MPC) with Laguerre and exponential weight functions is proposed to control fuel cell oxygen starvation problem. To get the best performance of MPC, the control and prediction horizons are selected as large as possible within the computation limit. An exponential weight function is applied to place more emphasis on the current time and less emphasis on the future time in the optimization process. This leads to stable numerical solution for large prediction horizons. Laguerre functions are used to capture most of the control trajectory, while reducing the controller computation time and memory for large prediction horizons. Robustness and stability of the proposed controller are assessed using Monte-Carlo simulations. Results verify that the modified MPC is able to mimic the performance of the infinite horizon controller, discrete linear quadratic regulator (DLQR). The controller computation time is reduced approximately by one order of magnitude compared to traditional MPC scheme. Results from Monte-Carlo simulations prove that the proposed controller is robust and stable up to system parameters uncertainty of 40%. Korean Society of Mechanical Engineers 2014-02 Article PeerReviewed application/pdf en http://irep.iium.edu.my/43833/1/2014-Fuel_cell_starvation_control_using_model_predictive_technique_with_Laguerre_and_2014.pdf application/pdf en http://irep.iium.edu.my/43833/4/43833_Fuel%20cell%20starvation%20control%20_SCOPUS.pdf Abdullah, Muhammad Faris and Idres, Moumen (2014) Fuel cell starvation control using model Predictive technique with laguerre and exponential weight functions. Journal of Mechanical Science and Technology, 28 (5). pp. 1995-2002. ISSN 1738-494X E-ISSN 1976-3824 http://link.springer.com/journal/12206 10.1007/s12206-014-0348-3 |
| spellingShingle | TJ Mechanical engineering and machinery Abdullah, Muhammad Faris Idres, Moumen Fuel cell starvation control using model Predictive technique with laguerre and exponential weight functions |
| title | Fuel cell starvation control using model Predictive technique with laguerre and exponential weight functions |
| title_full | Fuel cell starvation control using model Predictive technique with laguerre and exponential weight functions |
| title_fullStr | Fuel cell starvation control using model Predictive technique with laguerre and exponential weight functions |
| title_full_unstemmed | Fuel cell starvation control using model Predictive technique with laguerre and exponential weight functions |
| title_short | Fuel cell starvation control using model Predictive technique with laguerre and exponential weight functions |
| title_sort | fuel cell starvation control using model predictive technique with laguerre and exponential weight functions |
| topic | TJ Mechanical engineering and machinery |
| url | http://irep.iium.edu.my/43833/ http://irep.iium.edu.my/43833/ http://irep.iium.edu.my/43833/ http://irep.iium.edu.my/43833/1/2014-Fuel_cell_starvation_control_using_model_predictive_technique_with_Laguerre_and_2014.pdf http://irep.iium.edu.my/43833/4/43833_Fuel%20cell%20starvation%20control%20_SCOPUS.pdf |