JOURNAL ARTICLE

Influence of a Coupling Diode on the Indirect Characterization of the Serial NPN Power Transistor in a Linear Voltage Regulator Exposed to Ionizing Radiation.

  • Published In: Journal of Circuits, Systems & Computers, 2025, v. 34, n. 16. P. 1 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Vukić, Vladimir Dj. 3 of 3

Abstract

The LM2990-integrated circuit family was among the first low-dropout voltage regulators to use a coupling diode to reduce a quiescent current. In certain conditions, the coupling diode, connected between the output terminal and the driver transistor collector contact, activates to supply the serial power transistor base current from the load. Nonetheless, an indirect characterization of the serial NPN transistor was affected, making it difficult to estimate its forward emitted current gain and a base current as a function of the absorbed total ionizing dose. The original SPICE simulation model had some limitations with generating the faithful simulation of radiation effects in samples supplied with a non-ideal voltage source. Therefore, a novel four-step computer simulation method was developed to specify bias and load conditions when the coupling diode reaction would not negatively affect the characterization of the serial power transistor. The previously reported method for estimating the serial transistor base current could be successfully used for dropout voltages that slightly exceed three equivalent diode voltage drops (that is, 2.4 V) at the base-emitter junctions of the output amplifier transistors. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:Journal of Circuits, Systems & Computers. 2025/11, Vol. 34, Issue 16, p1
  • Document Type:Article
  • Subject Area:Health and Medicine
  • Publication Date:2025
  • ISSN:0218-1266
  • DOI:10.1142/S0218126624410020
  • Accession Number:187194334
  • Copyright Statement:Copyright of Journal of Circuits, Systems & Computers is the property of World Scientific Publishing Company and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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