| Issue |
E3S Web Conf.
Volume 414, 2023
2nd International Conference “SUstainable PolyEnergy generation and HaRvesting – SUPEHR23”
|
|
|---|---|---|
| Article Number | 02013 | |
| Number of page(s) | 7 | |
| Section | Thermal and Electrical Hybrid Systems – Sustainable Power Plants | |
| DOI | https://doi.org/10.1051/e3sconf/202341402013 | |
| Published online | 25 August 2023 | |
Study on an adaptive multi-model predictive controller for the thermal management of a SOFC-GT hybrid system
The Key Laboratory of Power Machinery and Engineering of Education Ministry, Shanghai Jiao Tong University, 200240 Shanghai, P. R. China
* Corresponding author: zhslm@sjtu.edu.cn
A SOFC temperature control system based on adaptive multimodel predictive control (MMPC) method is designed for a solid oxide fuel cell-gas turbine (SOFC-GT) hybrid system with anode and cathode ejectors. Two multi-input and multi-output MPCs (under 100% and 90% load) are designed to control the anode and cathode inlet temperatures. The accuracy of the identified linear models are both more than 95%. The control performance of the designed MMPC is compared with a single MPC and traditional PI. The comparison results demonstrate that the proposed MMPC is most effective and competitive in SOFC thermal management. During the load following, the controller overshoot is less than 1.19K. The settling time is about 2000s, and the integral of time-weighted absolute error is less than 472.
© The Authors, published by EDP Sciences, 2023
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