ABSTRACT An intelligent fuzzy logic inference pipeline for the control of a dc-dc buck-boost converter was designed and built using a semi-custom VLSI chip. The fuzzy linguistics describing the switching topologies of the converter was mapped into a look-up table that was synthesized into a set of Boolean equations. A VLSI chip–a field programmable gate array (FPGA) was used to implement the Boolean equations. Features include the size of RAM chip independent of number of rules in the knowledge base, on-chip fuzzification and defuzzification, faster response with speeds over giga fuzzy logic inferences per sec (FLIPS), and an inexpensive VLSI chip. The key application areas are: 1) on-chip integrated controllers; and 2) on-chip co-integration for entire system of sensors, circuits, controllers, and detectors for building complete instrument systems.
Cite this paper
nullJ. Asumadu, V. Jagannathan and A. Chachavalnanont, "Synthesis of Nonlinear Control of Switching Topologies of Buck-Boost Converter Using Fuzzy Logic on Field Programmable Gate Array (FPGA)," Journal of Intelligent Learning Systems and Applications, Vol. 2 No. 1, 2010, pp. 36-42. doi: 10.4236/jilsa.2010.21005.
 R. Erickson, S. Cuk, and R. D. Middlebrook, “Large- signal modeling and analysis of switching regulators,” IEEE PESC, pp. 240–250, 1982.
W. Gao and J. C. Hung, “Variable structure control of non-linear systems,” IEEE Transactions on Industrial Electronics, Vol. 40, No. 1, pp. 45–55, February 1993.
H. Sira-Ramirez and M. Rios Bolivar, “Sliding-mode control of DC-DC power converters via extended-linearization,” IEEE Transactions on Circuits and Systems I, Vol. 41, No. 10, 1994.
M. A. Manzoul, “Fuzzy controllers on semi-custom VLSI chips,” Fuzzy Control Systems, CRC Press, Inc., Boca Raton, Florida, pp. 551–560, 1994.