Title :
Design of an embedded DSP system for a fuel cell inverter
Author :
Yeary, M. ; Kim, Sangsun ; Enjeti, P. ; King, G.
Author_Institution :
Department of Electrical Engineering, Texas A&M University, College Station, 77843-3128, USA
Abstract :
While inverters currently do exist, the main focus of this investigation is to provide a DSP based design that will significantly reduce the cost of the current system. The proposed approach relies on an efficient pushpull DC-DC converter, a digital signal processor (DSP) control mechanism for the DC-AC conversion, and a rigorous cost reduction approach for this inverter. A low cost Texas Instruments, TMS320LF2407 DSP provides the control for the DC-AC converter allowing compliance to the total harmonic distortion (THD) specification of less that 5%. Moreover, the DSP allows convenient communication between the fuel cell and the inverter. The results section of this paper presents our laboratory data. A new closed-loop control scheme is also introduced which reduces the distortion caused by non-linear loads.
Keywords :
Argon; Artificial neural networks; Digital signal processing; Load modeling; Pulse width modulation;
Conference_Titel :
Acoustics, Speech, and Signal Processing (ICASSP), 2002 IEEE International Conference on
Conference_Location :
Orlando, FL, USA
Print_ISBN :
0-7803-7402-9
DOI :
10.1109/ICASSP.2002.5745490