title: Design of a broadband electrical impedance matching network for piezoelectric ultrasound transducers based on a genetic algorithm.
abstract: 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.
authors.affiliation: Department 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, China. ajf@mail.ustc.edu.cn.
authors.forename: Jianfei
authors.initials: J
authors.lastname: An
authors.affiliation: Department 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, China. skz@ustc.edu.cn.
authors.forename: Kezhu
authors.initials: K
authors.lastname: Song
authors.affiliation: Department 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, China. shuangxiz@163.com.
authors.forename: Shuangxi
authors.initials: S
authors.lastname: Zhang
authors.affiliation: Department 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, China. yangjf@ustc.edu.cn.
authors.forename: Junfeng
authors.initials: J
authors.lastname: Yang
authors.affiliation: Department 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, China. caop@ustc.edu.cn.
authors.forename: Ping
authors.initials: P
authors.lastname: Cao
mesh_terms: D000465:Algorithms; D003195:Computer Communication Networks; D003198:Computer Simulation; D017097:Electric Impedance; D011211:Electric Power Supplies; D004867:Equipment Design; D014159:Transducers; D014465:Ultrasonics / Q000295:instrumentation*
references.citation: Ultrason Sonochem. 2011 Mar;18(2):562-6
references.pmid: 21036651
references.citation: IEEE Trans Ultrason Ferroelectr Freq Control. 2011 Dec;58(12):2699-707
references.pmid: 23443705