Modeling And Control Of Proton Exchange Membrane Fuel Cell System

Abstract:With the energy crisis and environmental pollution problem is getting worse, development of efficient, less polluting energy technologies has been into the world of one of the major issue. Proton exchange membrane fuel cell (PEMFC) is a high energy density and environmental protection, especially suitable for mobile power. However, the PEMFC system is very complex, many key variables to consider when working, must be a viable method for controlling the actual power generation process, in order to improve the operational stability and reliability of the PEMFC power generation systems.For the PEMFC system established a system of non-linear model using linear time-invariant (LTI) tools linearization of the nonlinear model, the linear model of the system. In order to be able to reduce the linear error of the system model and ensure the dynamic characteristics of the system, there is designed to correspond to the feedforward controller. Through the simulation contrast verify the reliability and validity of the linear model.Linear model with feedforward controller, use of the linear quadratic technology and separation principle, the feedback controller into a state feedback controller and the state observer design separately. Using LQR to design state feedback controller. For the state of the system is estimated by using the Kalman filter-based state observer. The final realization of the entire system closed-loop control system stable operation.