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Sensors 2014, 14(4), 6828-6843; doi:10.3390/s140406828

Design of a Broadband Electrical Impedance Matching Network for Piezoelectric Ultrasound Transducers Based on a Genetic Algorithm

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
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Received: 6 January 2014 / Revised: 8 February 2014 / Accepted: 10 April 2014 / Published: 16 April 2014
(This article belongs to the Section Sensor Networks)

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. View Full-Text
Keywords: broadband piezoelectric transducer; genetic algorithm; electrical impedance matching network; automated circuit design broadband piezoelectric transducer; genetic algorithm; electrical impedance matching network; automated circuit design
This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).

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MDPI and ACS Style

An, J.; Song, K.; Zhang, S.; Yang, J.; Cao, P. Design of a Broadband Electrical Impedance Matching Network for Piezoelectric Ultrasound Transducers Based on a Genetic Algorithm. Sensors 2014, 14, 6828-6843.

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