Optimal Control of Fuel Processing System Using Generalized Linear Quadratic Gaussian and Loop Transfer Recovery Method

Abstract

This paper originally proposes an optimal control system which consists of both feedforward and statefeedback controllers using a generalized linear quadratic Gaussian and loop transfer recovery (GLQG/LTR) method. The control objective is focused on the regulatory performances of output vector in response to a desired stack current command in face of load variation. The proposed method provides another degree-of-freedom in optimal controller design and makes the compensated system have a prescribed degree of stability. Finally, the numerical simulations of a compensated fuel processing system reveal that the proposed method achieves better performance and robustness properties in both time-domain and frequency-domain responses than those obtained by the traditional LQ Method.