Optimal Gimbal System Control Strategy for Error Prediction Compensation
Yang, Yongqing2; Hao, Wei2; Yu, Tianye1; Xie, Meilin1; Liang, Yanbing2; Liu, Peng2
2019-08
会议日期2019-08-14
会议地点Shanghai, China
关键词prediction error compensation energy spectrum analysis optimal control tracking gimbal system periodic error
DOI10.1109/ICCSSE.2019.00022
页码73-78
英文摘要In order to suppress the periodic error in the control of the gimbal, an error prediction compensation model is established based on the error compensation theory in predictive control. The error feature extraction and matching of the servo gimbal system is completed based on the error time domain and frequency domain analysis results. Based on the analysis of the error energy spectral density characteristics, according to the energy distribution of different frequency bands, combined with the design of the gimbal control system, the influencing factors such as position sensor error, motor drive error and system structure error are obtained. At the same time, determine the impact domain of each factor. Based on this, through the optimal parameter estimation, the design of the error prediction compensation controller is completed, and finally a new optimal control strategy for error prediction compensation gimbal is obtained. Test verification in a high-precision gimbal shows that the control strategy can significantly improve the speed stability of the gimbal system by about 78%. © 2019 IEEE.
产权排序1
会议录Proceedings - 5th International Conference on Control Science and Systems Engineering, ICCSSE 2019
会议录出版者Institute of Electrical and Electronics Engineers Inc.
语种英语
ISBN号9781728145303
内容类型会议论文
源URL[http://ir.opt.ac.cn/handle/181661/93413]  
专题空天技术处
作者单位1.Xi'an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences Xi'an, China University of Chinese, Academy of Sciences, Beijing, China
2.Xi'an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi'an, China;
推荐引用方式
GB/T 7714
Yang, Yongqing,Hao, Wei,Yu, Tianye,et al. Optimal Gimbal System Control Strategy for Error Prediction Compensation[C]. 见:. Shanghai, China. 2019-08-14.
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