Design of a Broadband Electrical Impedance Matching Network for Piezoelectric Ultrasound Transducers Based on a Genetic Algorithm
An improved method based on a genetic algorithm (GA) is developed to design a broadband electrical impedance matching network for piezoelectric ultrasound transducer. A key feature of the new method is that it can optimize both the topology of the matching network and perform optimization on the com...
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2014-04-01
|
| Series: | Sensors |
| Subjects: | |
| Online Access: | http://www.mdpi.com/1424-8220/14/4/6828 |
| _version_ | 1818001323546640384 |
|---|---|
| author | Jianfei An Kezhu Song Shuangxi Zhang Junfeng Yang Ping Cao |
| author_facet | Jianfei An Kezhu Song Shuangxi Zhang Junfeng Yang Ping Cao |
| author_sort | Jianfei An |
| collection | DOAJ |
| description | An improved method based on a genetic algorithm (GA) is developed to design a broadband electrical impedance matching network for piezoelectric ultrasound transducer. A key feature of the new method is that it can optimize both the topology of the matching network and perform optimization on the components. The main idea of this method is to find the optimal matching network in a set of candidate topologies. Some successful experiences of classical algorithms are absorbed to limit the size of the set of candidate topologies and greatly simplify the calculation process. Both binary-coded GA and real-coded GA are used for topology optimization and components optimization, respectively. Some calculation strategies, such as elitist strategy and clearing niche method, are adopted to make sure that the algorithm can converge to the global optimal result. Simulation and experimental results prove that matching networks with better performance might be achieved by this improved method. |
| first_indexed | 2024-04-14T03:32:56Z |
| format | Article |
| id | doaj.art-6c8703b6ed3c4a198136e558f09089b2 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-04-14T03:32:56Z |
| publishDate | 2014-04-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-6c8703b6ed3c4a198136e558f09089b22022-12-22T02:14:53ZengMDPI AGSensors1424-82202014-04-011446828684310.3390/s140406828s140406828Design of a Broadband Electrical Impedance Matching Network for Piezoelectric Ultrasound Transducers Based on a Genetic AlgorithmJianfei An0Kezhu Song1Shuangxi Zhang2Junfeng Yang3Ping Cao4Department of Modern Physics, University of Science and Technology of China, and Key Laboratory of Technologies of Particle Detection & Electronics, Chinese Academy of Science, Hefei 230026, ChinaDepartment of Modern Physics, University of Science and Technology of China, and Key Laboratory of Technologies of Particle Detection & Electronics, Chinese Academy of Science, Hefei 230026, ChinaDepartment of Modern Physics, University of Science and Technology of China, and Key Laboratory of Technologies of Particle Detection & Electronics, Chinese Academy of Science, Hefei 230026, ChinaDepartment of Modern Physics, University of Science and Technology of China, and Key Laboratory of Technologies of Particle Detection & Electronics, Chinese Academy of Science, Hefei 230026, ChinaDepartment of Modern Physics, University of Science and Technology of China, and Key Laboratory of Technologies of Particle Detection & Electronics, Chinese Academy of Science, Hefei 230026, ChinaAn improved method based on a genetic algorithm (GA) is developed to design a broadband electrical impedance matching network for piezoelectric ultrasound transducer. A key feature of the new method is that it can optimize both the topology of the matching network and perform optimization on the components. The main idea of this method is to find the optimal matching network in a set of candidate topologies. Some successful experiences of classical algorithms are absorbed to limit the size of the set of candidate topologies and greatly simplify the calculation process. Both binary-coded GA and real-coded GA are used for topology optimization and components optimization, respectively. Some calculation strategies, such as elitist strategy and clearing niche method, are adopted to make sure that the algorithm can converge to the global optimal result. Simulation and experimental results prove that matching networks with better performance might be achieved by this improved method.http://www.mdpi.com/1424-8220/14/4/6828broadband piezoelectric transducergenetic algorithmelectrical impedance matching networkautomated circuit design |
| spellingShingle | Jianfei An Kezhu Song Shuangxi Zhang Junfeng Yang Ping Cao Design of a Broadband Electrical Impedance Matching Network for Piezoelectric Ultrasound Transducers Based on a Genetic Algorithm Sensors broadband piezoelectric transducer genetic algorithm electrical impedance matching network automated circuit design |
| title | Design of a Broadband Electrical Impedance Matching Network for Piezoelectric Ultrasound Transducers Based on a Genetic Algorithm |
| title_full | Design of a Broadband Electrical Impedance Matching Network for Piezoelectric Ultrasound Transducers Based on a Genetic Algorithm |
| title_fullStr | Design of a Broadband Electrical Impedance Matching Network for Piezoelectric Ultrasound Transducers Based on a Genetic Algorithm |
| title_full_unstemmed | Design of a Broadband Electrical Impedance Matching Network for Piezoelectric Ultrasound Transducers Based on a Genetic Algorithm |
| title_short | Design of a Broadband Electrical Impedance Matching Network for Piezoelectric Ultrasound Transducers Based on a Genetic Algorithm |
| title_sort | design of a broadband electrical impedance matching network for piezoelectric ultrasound transducers based on a genetic algorithm |
| topic | broadband piezoelectric transducer genetic algorithm electrical impedance matching network automated circuit design |
| url | http://www.mdpi.com/1424-8220/14/4/6828 |
| work_keys_str_mv | AT jianfeian designofabroadbandelectricalimpedancematchingnetworkforpiezoelectricultrasoundtransducersbasedonageneticalgorithm AT kezhusong designofabroadbandelectricalimpedancematchingnetworkforpiezoelectricultrasoundtransducersbasedonageneticalgorithm AT shuangxizhang designofabroadbandelectricalimpedancematchingnetworkforpiezoelectricultrasoundtransducersbasedonageneticalgorithm AT junfengyang designofabroadbandelectricalimpedancematchingnetworkforpiezoelectricultrasoundtransducersbasedonageneticalgorithm AT pingcao designofabroadbandelectricalimpedancematchingnetworkforpiezoelectricultrasoundtransducersbasedonageneticalgorithm |