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Author: search.filters.author.Furuya, TadayoshiSubject: search.filters.subject.Slip energy recovery

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    A DSP-based modified slip energy recovery drive using a 12-pulse converter and shunt chopper for a speed control system of a wound rotor induction motor
    (2008-05-01)
    Tunyasrirut, Satean
    ;
    Ngamwiwit, Jongkol
    ;
    Kinnares, Vijit
    ;
    Furuya, Tadayoshi
    ;
    Yamamoto, Yoshiichi
    This paper introduces a modified slip energy recovery drive system for speed control of a wound rotor induction motor offering improvement of drive performance, particularly line power factor and overall system efficiency. A 12-pulse line commutated thyristor converter operating in an inverter mode in conjunction with an additional IGBT shunt chopper is employed to transfer slip energy back to ac mains supply via three phase transformers. This approach offers motor speed control by varying the duty cycle of the chopper instead of changing the inverter firing angle. As a consequence, supply power factor can be improved. The servo state feedback designed by linear quadratic regulator (LQR) with observer is also included in order to keep motor speed to be constant over a certain range of operating conditions by using the estimated dc link current derived from motor speed. The advantage of this technique is absence of current transducers for current feedback control loop. The overall control system is implemented on DSP, DS1104'TMS320F240 controller board. Experimental results are illustrated in order to validate performance of the proposed system. © 2007 Elsevier B.V. All rights reserved.
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    Self-tuning fuzzy logic controller for direct torque control of slip energy recovery system
    (2001-12-01)
    Tunyasrirut, Satean
    ;
    Ngamwiwit, Jongkol
    ;
    Furuya, Tadayoshi
    ;
    Yamamoto, Yoshiicshi
    This paper proposes a design self-tuning fuzzy logic controller to control the slip energy recovery system. The control system is designed to maintain efficiency of motor by keeping the speed constant and the good transient response by using direct torque control. Fuzzy logic controller has been designed by genetic algorithm optimization technique as a means to determine and optimize the fuzzy logic controller design is discussed. In the proposed approach normalization factors and/or membership function parameters and/or the controller policy, are translated into bit-strings. These bit-strings are processed by the genetic algorithm and if the selection process as well as the objective function is chosen properly, a near-optimal solution can be found. To examine the efficiency of the proposed approach, a self-tuning fuzzy logic controller for direct torque control the wound rotor induction motor drive is designed the current in dc link circuit. A particular objective function is chosen to achieve a high dynamic performance. The simulation results demonstrate a significant enhancement in shortening the development time, and improving system performance over a conventional fuzzy logic controller.