Genetic Algorithm based Servo System Parameter Estimation during Transients

Advances in Electrical and Computer Engineering

关键词: parameter estimation;    transient response;    genetic optimization;    system identification;    servo drive;   

DOI  :  10.4316/AECE.2010.02013

来源: DOAJ

【 摘 要 】

The application of Genetic Optimization Algorithm in estimation of the parameters of servo electrical drives is proposed.In comparison with this planned method, least squared error (LSE) estimation method is considered as an expedient methodfor parameter estimation. Regardless of LSE estimation, Genetic Algorithm method is not restricted to the linear systemswith respect to the parameters. GA is imported as an optimization method in comparison with conventional optimizationmethods because of its power in searching whole solution space with more probability to finding the global optimum.As a condition for convergence, transient excitation is considered instead of persistent excitation. Finally,comparison between LSE and GA based parameter estimation is presented to indicate robustness and resolution ofGA identification method. It will be shown that the GA method of estimation has better results in the startupand transients of the system where there is a lack of persistent excitation.

【 授权许可】

Unknown