Author: Chen, L.J.
Paper Title Page
WEP027 A Fast and Accurate Method to Shim Undulator Using Multi-Objective GA 378
  • L.G. Yan, L.J. Chen, D.R. Deng, P. Li
    CAEP/IAE, Mianyang, Sichuan, People’s Republic of China
  Funding: National Natural Science Foundation of China under grant of 11505174, 11505173 and 11605190
GA (Genetic Algorithm) is one of the most excellent methods to search the optimal solution for a problem, which has been applied to solve various problems. It is hard to estimate shim applied on raw undulator precisely. There are many methods have been developed to solve the problem. In this proceeding, we proposed a fast and accurate method to conclude the shim using multi-objective GA. A multi-objective objective function was set, and multi-objective optimization was also implemented. The evolution time is reduced by setting optimal evolution parameters. To demonstrate the method, we also finished some test on a prototype undulator U38. As a result, it can be achieved only by shimming three times that all the parameters of trajectory center deviation, peak-to-peak error and phase error satisfied the requirements.
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About • paper received ※ 20 August 2019       paper accepted ※ 27 August 2019       issue date ※ 05 November 2019  
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