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.

A new method that is based on genetic algorithm (GA) is developed to design electrical impedance matching network for broadband piezoelectric ultrasound transducer. The new method can both optimize the topology of the matching network and perform optimization on the components at the same time. Results of classical algorithms are referenced to reduce the number of candidate topologies and greatly simplify the calculation process. Some calculation strategies, such as elitist strategy and clearing niche method, are adopted during optimization to make sure that the algorithm can convergence to global optimal result. Simulation results show that the new method has advantages over designing complex impedance matching network.

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Reversed field pinch (RFP) is an important toroidal magnetic confinement device. The RFP scientific program can address issues relevant not only for RFP, but also more generally for magnetic confinement fusion. And the rich phenomena associated with the strong magnetic self-organization in RFP provide an unusually close connection to a set of important problems in plasma astrophysics.The objective of this paper is to build the control system and data acquisition system for the RFP called KTX which is in the construction in University of science and technology of China. The data acquisition system and the control system includes three ingredients: the master control system, the data acquisition and storage system, the plasma control system. The master control system is a core part of operation scheduling and Centralized management in the fusion experiments for monitoring the system operating situations, and coordinating operations of each module, synchronizing and inspecting. The data acquisition and storage system includes not only hardware modules such as analog to digital converter but also software platform for acquisition control and data access. The plasma control system is used for the control of plasma parameters during experiments.The design of the operating control system and data acquisition system is based on modularized design thoughts and adopt mainstream hardware platform that is easy to for maintaining and system upgrading.