Application of particle swarm optimization in parameter identification of power electronic circuits

• Published in: 2020 5th International Conference on Mechanical, Control and Computer Engineering (ICMCCE) pp. 1706 - 1709
• Main Author: Lai, Guosheng
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01.12.2020
• Subjects: Circuit faults; Fault diagnosis; Object recognition; Optimization methods; Parameter estimation; Parameter Identification Pptimization; Particle Swarm Optimization Algorithm; Power Electronic Circuit Parameter Identification; Power electronics; Simulation
• DOI: 10.1109/ICMCCE51767.2020.00374

Power electronic circuit parameter identification is the main means to judge the state of the circuit. Through identification, we can know whether there is a fault in the circuit, so the parameter identification of power electronic circuit is very important. However, there are some defects in the previous identification work, which can only work on part of the device, but it is difficult to identify the other part of the device, so the characteristic parameters of this kind of device can not be obtained, which shows that the previous power electronic circuit parameter identification methods need to be optimized. In view of this, the relevant fields put forward the optimization scheme of particle swarm optimization algorithm. It is believed that the algorithm can make up for the defects of previous power electronic circuit parameter identification. This paper will also study this problem, elaborate the specific application mode of the algorithm, and carry out simulation and physical experiments on the application results to verify the effectiveness of the algorithm.