Development of Model Predictive Controller for SOFC-IC Engine Hybrid System 2009-01-0146
Fuel cell hybrid systems have emerged rapidly in efforts to reduce emissions. The success of these systems mainly depends on implementation of suitable control architectures. This paper presents a control system design for a novel fuel cell - IC Engine hybrid power system. Control oriented models of the system components are developed and integrated. Based on the simulation results of the system model, the control variables are identified. The main objective for the control design is to manage fuel, air and exhaust flows in a way to deliver the required load on the system within local constraints. The controller developed for regulating flows in the system is based on model predictive control theory. The performance of the overall control system is assessed through simulations on a nonlinear dynamic model.
Citation: Chaudhari, A., Plianos, A., and Stobart, R., "Development of Model Predictive Controller for SOFC-IC Engine Hybrid System," SAE Int. J. Engines 2(1):56-66, 2009, https://doi.org/10.4271/2009-01-0146. Download Citation
Author(s):
Anita Chaudhari, Alexandros Plianos, Richard Stobart
Affiliated:
Loughborough University
Pages: 11
Event:
SAE World Congress & Exhibition
ISSN:
1946-3936
e-ISSN:
1946-3944
Also in:
SAE International Journal of Engines-V118-3EJ, Control and Optimization in Hybrid Powertrains, 2009-SP-2247, SAE International Journal of Engines-V118-3
Related Topics:
Hybrid power
Fuel cells
Control systems
Simulation and modeling
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