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Estimation Method of an Electrical Equivalent Circuit for Sonar Transducer Impedance Characteristic of Multiple Resonance.
Jang, Jejin; Choi, Jaehyuk; Lee, Donghun; Mok, Hyungsoo.
Affiliation
  • Jang J; Research and Development Division, Tin Technology Co., Ltd., Seongnam 13212, Republic of Korea.
  • Choi J; Research and Development Division, Tin Technology Co., Ltd., Seongnam 13212, Republic of Korea.
  • Lee D; Agency for Defense Development, Changwon 51678, Republic of Korea.
  • Mok H; Department of Electrical Engineering, Konkuk University, Seoul 05029, Republic of Korea.
Sensors (Basel) ; 23(14)2023 Jul 24.
Article in En | MEDLINE | ID: mdl-37514930
Improving the operational efficiency and optimizing the design of sound navigation and ranging (sonar) systems require accurate electrical equivalent models within the operating frequency range. The power conversion system within the sonar system increases power efficiency through impedance-matching circuits. Impedance matching is used to enhance the power transmission efficiency of the sonar system. Therefore, to increase the efficiency of the sonar system, an electrical-matching circuit is employed, and this necessitates an accurate equivalent circuit for the sonar transducer within the operating frequency range. In conventional equivalent circuit derivation methods, errors occur because they utilize the same number of RLC branches as the resonant frequency of the sonar transducer, based on its physical properties. Hence, this paper proposes an algorithm for deriving an equivalent circuit independent of resonance by employing multiple electrical components and particle swarm optimization (PSO). A comparative verification was also performed between the proposed and existing approaches using the Butterworth-van Dyke (BVD) model, which is a method for deriving electrical equivalent circuits.
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies Language: En Journal: Sensors (Basel) Year: 2023 Document type: Article Country of publication: Switzerland

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies Language: En Journal: Sensors (Basel) Year: 2023 Document type: Article Country of publication: Switzerland