ANALYSIS OF POWER CONVERTER CONTROL USING NEURAL NETWORK AND RULE-BASED METHODS

ABSTRACT Current-controlled voltage source inverters offer substantial advantages in improving motor system dynamics for high-performance ac drive systems. The controller switches follow a set of reference current waveforms. Fixed-band hysteresis and sinusoidal-band hysteresis controllers have been studied. The first part of this paper develops neural network and fuzzy logic based current-controlled voltage source inverters. The models and learning techniques have been investigated by simulation. The implementation of neural networks is described and simulation results are presented. In the second part of this paper, the new UPS (uninterruptible power supply) with fuzzy logic compensator is proposed. Proposed fuzzy logic compensator is used to prevent voltage drop from nonlinear load. The total harmonic distortion (THD) of proposed scheme is better than that of conventional deadbeat control method for linear and nonlinear load. In the third part of this paper, the application of fuzzy control to DC-DC con...

[1]  Paolo Tenti,et al.  A novel hysteresis control method for current-controlled voltage-source PWM inverters with constant modulation frequency , 1990 .

[2]  P.J. Costa Branco,et al.  On-line fuzzy relational identification of a permanent-magnet drive system , 1993, Proceedings of IEEE Power Electronics Specialist Conference - PESC '93.

[3]  Atsuo Kawamura,et al.  Deadbeat control of PWM inverter with modified pulse patterns for uninterruptible power supply , 1988 .

[4]  Gert Eggers.  Fast switches in linear networks , 1985, 1985 IEEE Power Electronics Specialists Conference.

[5]  Atsuo Kawamura,et al.  Waveform compensation of PWM inverter with cyclic fluctuating loads , 1988 .

[6]  R. G. Hoft,et al.  Controlled PWM Inverter with Parameter Estimation Using Only Voltage Sensor , 1986 .

[7]  D. S. Zinger,et al.  PI and fuzzy estimators for tuning the stator resistance in direct torque control of induction machines , 1994 .

[8]  Bor-Ren Lin,et al.  Buck/boost converter control with fuzzy logic approach , 1993, Proceedings of IECON '93 - 19th Annual Conference of IEEE Industrial Electronics.

[9]  K.P. Wong,et al.  A fuzzy logic controller for permanent magnet synchronous machine , 1993, Proceedings Eighth Annual Applied Power Electronics Conference and Exposition,.

[10]  Richard G. Hoft,et al.  High performance deadbeat controlled PWM inverter using a current source compensator and nonlinear loads , 1992, PESC '92 Record. 23rd Annual IEEE Power Electronics Specialists Conference.

[11]  Dong-Il Kim,et al.  Control of permanent magnet AC servo motors via fuzzy reasoning , 1992, Conference Record of the 1992 IEEE Industry Applications Society Annual Meeting.

[12]  Bimal K. Bose,et al.  Fuzzy logic based on-line efficiency optimization control of an indirect vector-controlled induction motor drive , 1995, IEEE Trans. Ind. Electron..

[13]  T.G. Habetler,et al.  Performance characterization of a new discrete pulse modulated current regulator , 1988, Conference Record of the 1988 IEEE Industry Applications Society Annual Meeting.

[14]  D. S. Zinger,et al.  Fuzzy controller for inverter fed induction machines , 1992, Conference Record of the 1992 IEEE Industry Applications Society Annual Meeting.

[15]  H.L. Hey,et al.  A fuzzy logic controller for half-bridge DC-DC PWM ZVZCS converter to high power applications , 1993, ISIE '93 - Budapest: IEEE International Symposium on Industrial Electronics Conference Proceedings.

[16]  Tore Undeland,et al.  Power Electronics: Converters, Applications and Design , 1989 .

[17]  I. Miki,et al.  Vector control of induction motor with fuzzy PI controller , 1991, Conference Record of the 1991 IEEE Industry Applications Society Annual Meeting.

[18]  B. R. Menezes,et al.  Analysis of switching frequency reduction methods applied to sliding mode controlled DC-DC converters , 1992, [Proceedings] APEC '92 Seventh Annual Applied Power Electronics Conference and Exposition.

[19]  R. D. Middlebrook,et al.  Low-frequency characterization of switched DC-DC converters , 1972 .

[20]  S. Bogdan,et al.  Fuzzy rule-based model reference adaptive control of permanent magnet synchronous motor drive , 1993, Proceedings of IECON '93 - 19th Annual Conference of IEEE Industrial Electronics.

[21]  B.-R. Lin,et al.  Power electronics inverter control with neural networks , 1993, Proceedings Eighth Annual Applied Power Electronics Conference and Exposition,.

[22]  Atsuo Kawamura,et al.  Dead beat microprocessor control of PWM inverter for sinusoidal output waveform synthesis , 1985, 1985 IEEE Power Electronics Specialists Conference.

[23]  M. J. D. Powell,et al.  Restart procedures for the conjugate gradient method , 1977, Math. Program..

[24]  D. S. Zinger,et al.  Fuzzy implementation of direct self-control of induction machines , 1993 .

[25]  Atsuo Kawamura,et al.  Instantaneous Feedback Controlled PWM Inverter with Adaptive Hysteresis , 1984, IEEE Transactions on Industry Applications.

[26]  Lee A. Feldkamp,et al.  Decoupled extended Kalman filter training of feedforward layered networks , 1991, IJCNN-91-Seattle International Joint Conference on Neural Networks.

[27]  Yasuhiko Dote,et al.  Variable-structured robust controller by fuzzy logic for servomotors , 1993, IEEE Trans. Ind. Electron..

[28]  Donald W. Novotny,et al.  Current Control of VSI-PWM Inverters , 1985, IEEE Transactions on Industry Applications.

[29]  Bimal K. Bose,et al.  An Adaptive Hysteresis-Band Current Control Technique of a Voltage-Fed Pwm Inverter for Machine Drive System , 1988, Proceedings.14 Annual Conference of Industrial Electronics Society.

[30]  Stefanos Kollias,et al.  An adaptive least squares algorithm for the efficient training of artificial neural networks , 1989 .

[31]  B.-R. Lin,et al.  Real-time digital control of PWM inverter with fuzzy logic compensator for nonlinear loads , 1993, Conference Record of the 1993 IEEE Industry Applications Conference Twenty-Eighth IAS Annual Meeting.

[32]  Mahmood R. Azimi-Sadjadi,et al.  Fast learning process of multilayer neural networks using recursive least squares method , 1992, IEEE Trans. Signal Process..