A novel active control on Pogo vibration in liquid rockets based on data-driven theory. (May 2021)

• Record Type: Journal Article
• Authors: Jia, Su; Tang, Ye; Wang, Tao; Ding, Qian
• Is Part Of: Acta astronautica. Volume 182(2021)
• Page Start: 350
• Page End: 360
• Publication Date: 2021-05
• Subjects: Pogo vibration -- Liquid rocket -- Active control -- Data-driven approach -- Adaptive dynamic programming; Astronautics -- Periodicals; Outer space -- Exploration -- Periodicals; Astronautics; Periodicals; 629.405
• DOI: 10.1016/j.actaastro.2021.02.021
• Languages: English
• ISSNs: 0094-5765

Abstract

Abstract: Pogo vibration in liquid rockets is an instability phenomenon caused by the coupling of longitudinal structural vibration and the propellant pulsation. As a passive Pogo suppression method, the accumulator always needs to adjust the energy value to achieve good performance, which sometimes cannot satisfy the design requirement of a liquid rocket. In this study, a novel active control technique was developed to suppress the Pogo vibration in liquid rockets using the data-driven adaptive dynamic programming method. The active controller was designed according to the input/output data of the system, which can prevent the effect of the modeling errors and dynamic uncertainty. The dynamic models of the propulsion and Pogo analysis systems were established using the improved Rubin's modelling method. Then, the complex mode method and the orthogonality of left and right eigenvectors were used to derive the dimensionality reduction model of the Pogo analysis system to design the active controller. Numerical simulations were performed to compare the dynamic characteristics and responses of the Pogo analysis model were obtained using linear quadratic regulator (LQR) and data-driven control methods. The enhanced control strategy implemented using the data-driven theory can remarkably increase the Pogo stability, which validates the proposed method's effectiveness in controlling the Pogo vibration in liquid rockets. Highlights: A novel data-driven active control method for Pogo vibration in liquid rockets is presented. The dimensionality reduction model of the Pogo analysis system is derived. The comparison of the novel data-driven controller and LQR controller is carried out. The influence of three typical parameters on the control effect is studied.