Performance Improvement of a Microbial Fuel Cell based on Model Predictive Control

作者：Fan, Liping^*; Zhang, Jun; Shi, Xiaolin

来源：International Journal of Electrochemical Science, 2015, 10(1): 737-748.

• Microbial fuel cell
• model predictive control
• exponential data weighting
• constant voltage transmission

Microbial fuel cell is a kind of promising new source of green energy. Because of its complicated reaction mechanism and its inherent characteristics of time-varying, uncertainty, strong-coupling and nonlinearity, there are complex control challenges in modelling and control of microbial fuel cells. This paper studies on performance improvement of microbial fuel cells by the approach of model predictive control. A numerical simulation platform for microbial fuel cell is established, and a traditional model predictive controller is designed for MFC first; then model predictive controllers which use Laguerre function and exponential data weighting are designed subsequently to compare with the traditional model predictive controller. Simulation results show that the proposed improved model predictive controller modified by exponential data weighting can give the system both good steady-state behavior and satisfactory dynamic property.

• 出版日期2015-1
• 单位沈阳化工大学