Dynamic Model Identification of Marine Electric Propulsion System
This paper applies identification technique to the marine electric propulsion system analysis,adopts the recursive extended least squares (RELS) algorithm to estimate the structure and parameters of the model,employs the variable forgetting factors into the algorithm to improve the tracking characteristic of the parameters,establishes the dynamic model of a simulated electric propulsion unit under the excitation control based on the experiment data,and finally verifies the validity of the method through the consistency between simulation result and experimental result.
Dynamic model Identification Electric propulsion Variable forgetting factor
Qiang Wu Hao Xiong Guangwei Meng Libing Zhou
Naval University of Engineering,Wuhan,430033,China Naval University of Engineering,Wuhan,430033,China;Huazhong University of Science and Technology,Wuh Huazhong University of Science and Technology,Wuhan,430074,China
国际会议
西安
英文
1357-1359
2012-06-12(万方平台首次上网日期,不代表论文的发表时间)