A mixed-signal fuzzy controller and its application to soft start of DC motors

Presents a mixed-signal fuzzy controller chip and its application to control of DC motors. The controller is based on a multiplexed architecture presented by the authors (1998), where building blocks are also described. We focus here on showing experimental results from an example implementation of this architecture as well as on illustrating its performance in an application that has been proposed and developed. The presented chip implements 64 rules, much more than the reported pure analog monolithic fuzzy controllers, while preserving most of their advantages. Specifically, the measured input-output delay is around 500 ns for a power consumption of 16 mW and the chip area (without pads) is 2.65 mm/sup 2/. In the presented application, sensed motor speed and current are the controller input, while it determines the proper duty cycle to a PWM control circuit for the DC-DC converter that powers the motor drive. Experimental results of this application are also presented.

[1]  I. Flegar Power electronics circuits , 1996 .

[2]  A. Rodriguez-Vazquez,et al.  A multiplexed mixed-signal fuzzy architecture , 1998, 1998 IEEE International Conference on Fuzzy Systems Proceedings. IEEE World Congress on Computational Intelligence (Cat. No.98CH36228).

[3]  Liliane Peters,et al.  Design and application of an analog fuzzy logic controller , 1996, IEEE Trans. Fuzzy Syst..

[4]  Ángel Rodríguez-Vázquez,et al.  A modular programmable CMOS analog fuzzy controller chip , 1999 .

[5]  V. Venegas,et al.  A three-phase model for surge distribution studies in electrical machines , 1997 .

[6]  A. Rodriguez-Vazquez,et al.  Circuits for on-chip learning in neuro-fuzzy controllers , 1999, Proceedings of the Seventh International Conference on Microelectronics for Neural, Fuzzy and Bio-Inspired Systems.

[7]  Piero P. Bonissone,et al.  Industrial applications of fuzzy logic at General Electric , 1995, Proc. IEEE.

[8]  Roberto Guerrieri,et al.  A silicon compiler of analog fuzzy controllers: from behavioral specifications to layout , 1996, IEEE Trans. Fuzzy Syst..

[9]  Bimal K. Bose,et al.  Expert system, fuzzy logic, and neural network applications in power electronics and motion control , 1994, Proc. IEEE.

[10]  Takeshi Yamakawa,et al.  A fuzzy inference engine in nonlinear analog mode and its application to a fuzzy logic control , 1993, IEEE Trans. Neural Networks.

[11]  Chuen-Tsai Sun,et al.  Neuro-fuzzy modeling and control , 1995, Proc. IEEE.

[12]  Muhammad H. Rashid,et al.  Power Electronics: Circuits, Devices and Applications , 1993 .