The Design of a Modified PSO Guidance Law Using Predictor and LOS Rate Evaluation
學年 104
學期 1
發表日期 2015-11-27
作品名稱 The Design of a Modified PSO Guidance Law Using Predictor and LOS Rate Evaluation
作品名稱（其他語言）
著者 Yung-Lung Lee; Kuei-Yi Chen; Yi-Wei Chen; Yen-Bin Chen; Sheng-Ju Liao
作品所屬單位
出版者
會議名稱 2015 International Conference on Computing and Precision Engineering
會議地點 Nantou, Taiwan
摘要 This paper proposes a modified particle swarm optimization guidance (MPSOG) for the pursuit-evasion optimization problem. If the line-of-sight (LOS) rate equals zero, the curvature of the missile's trajectory would be smaller and the probability of intercept greater. Thus, we propose using a MPSOG to improve the guidance performance. The MPSOG uses a Kalman filter to predict a target's dynamic. The lateral acceleration commands of the y- and z-axis are optimized by the particle swarm optimization (PSO) algorithm, respectively. Numerical simulation results show that the MPSOG have better guidance performance than proportional navigation guidance and particle swarm optimization guidance in miss distance, time-to-go, and final lateral acceleration commands.
關鍵字
語言 en
收錄於
會議性質 國際
校內研討會地點 無
研討會時間 20151127~20151130
通訊作者
國別 TWN
公開徵稿
出版型式
出處 MATEC Web of Conferences 71, 2016
相關連結

機構典藏連結 ( http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/129912 )