Study on High Precision Control Methods of FAST Feed Based on Multi-Source Information Fusion
Abstract: This project focuses on the precision measurement and control problem for flexible supporting feed cabin of FAST, in large scale and nonlinear moving process. For discrete-time systems with multi signal sources and unstable time-delay, this project attempts to establish a new state estimation algorithm by combining temporal registration method, spatial registration method and multisource data fusion method. For the problems in large scale moving process, as gear shift, turning, fast move and sudden stop, this project proposes a suppression strategy for rigid-flexible coupling nonlinear systems and an active vibration suppression method based on input shaping, by spectral analysis for trajectory planning and coordinating the requirements of control accuracy and vibration suppression. The researches can solve such challenging problems, as measure, impact and resonance in large scale moving process for feed cabin of FAST, to improve control accuracy and reliability of feed cabin.
Keywords: FAST; motion control; multi-source information fusion; vibration control
Contact:
JING Fengshui
E-mail: fengshui.jing@ia.ac.cn
The State Key Laboratory of Management and Control for Complex Systems