Authors: S. Gomáriz, E. Alarcón, J.A. Martínez, A. Poveda, J. Madrenas and F. Guinjoan
Journal/Conference: The 24th Annual Conference of the IEEE Industrial Electronics Society (IECON'98), Aachen, Germany, Aug. 31- Sept 4, 1998.
Abstract - This paper investigates the use of fuzzy logic to implement some nonlinear control laws in bidirectional converters. We design a minimum time control of a buck converter by means of fuzzy logic approximation. The proposed controller is implemented by means of an analog hardware architecture which is able to efficiently implement neuro-fuzzy models. By combining the main features of digital and analog alternatives it will be possible to provide a high degree of flexibility (in terms of number of inputs, number of membership functions per input and number of fuzzy rules) when handling real world tasks. Also we have created a program for validating via software the proposed architecture. Simulation results for a buck converter structure illustrate the design and the implementation. VLSI ASIC mixed-mode implementation details are also included.