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Series and parallel transformer resonant DC–DC converter using optimal digital servo and repetitive learning control schemes

Series and parallel transformer resonant DC–DC converter using optimal digital servo and repetitive learning control schemes

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  • Author(s): J. Sun 1 ; M. Nakaoka 1 ; H. Takano 2
    • View affiliations
    • Affiliations: 1: Department of Electrical and Electronics Engineering, Graduate School of Engineering and Science, Yamaguchi University, Yamaguchi, Japan
      2: Research and Development Center, Hitachi Medical Corporation, Chiba, Japan
  • Source: Volume 146, Issue 5, September 1999, p. 530 – 538
    DOI:  10.1049/ip-epa:19990157 , Print ISSN 1350-2352, Online ISSN 1359-7043
© IEE
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A digitally processed repetitive learning control approach is presented in combination with a type-1 optimal digital servo control scheme of the resonant DC–DC converter using IGBT modules for a medical X-ray power generator. This scheme is considered for achieving a rapid transient response without any overshoot, in addition to high-voltage characteristics with low ripple in its steady-state within a wide setting range of output voltage. To improve nonlinear voltage regulation performance of the series capacitor transformer compensated parallel resonant inverter-type fixed-frequency, phase-shifted PWM DC–DC converter with a high-voltage transformer link, the repetitive learning control method was introduced into medical X-ray power generator systems using a series and parallel resonant DC–DC converter transformer parasitic parrallel resonance with a series-compensated resonant capacitor. The effectiveness of the repetitive learning control is discussed. A digital servo control scheme with error compensation loops is implemented to eliminate periodic voltage ripple fluctuations and abrupt voltage changes in the rectified DC input of this converter. This scheme also aims to realise good reproducibility, which is an important requirement in an X-ray power generator. The practical effectiveness of the repetitive learning control method and the type-1 optimal digital servo control scheme are confirmed by simulation analysis and experiments.

Inspec keywords: control system synthesis; DC-DC power convertors; biomedical equipment; control system analysis; insulated gate bipolar transistors; servomechanisms; PWM power convertors; power bipolar transistors; power transformers; optimal control; X-ray production; resonant power convertors; learning (artificial intelligence); transient response

Other keywords: medical X-ray power generator; repetitive learning control scheme; high voltage transformer matching; optimal digital servo control scheme; series-parallel transformer resonant DC-DC power converter; control performance; nonlinear voltage regulation performance; transient response; periodic voltage ripple fluctuations elimination; error compensation loops; high-voltage transformer link; IGBT modules; control design; transformer parasitic parallel resonance; control simulation

Subjects: Insulated gate field effect transistors; Bipolar transistors; Optimal control; Actuating and final control devices; Biological and medical control systems; Power convertors and power supplies to apparatus; X-ray and gamma-ray equipment; Transformers and reactors; Power semiconductor devices; X-ray techniques: radiography and computed tomography (biomedical imaging/measurement); Control of electric power systems; Control system analysis and synthesis methods

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