Technical Papers
Jan 13, 2016

Analytic Approach and Landing Guidance through a Novel Time-Varying Sliding Mode Control Method

Publication: Journal of Aerospace Engineering
Volume 29, Issue 4

Abstract

In this paper, a nonlinear guidance law is developed for the approach and landing (A&L) phase of a reusable launch vehicle (RLV). First, a novel time-varying sliding mode control (TVSMC) technique is introduced. The main feature of this technique is that it enables the system states to converge to zero at the desired finite time. Then, the developed technique is applied to the A&L guidance law design. The guidance law possesses the capability of generating trajectories online according to the current system states and the terminal constraints. Therefore, there is no need to design any reference trajectories in advance. In addition, the analytic solutions of the altitude and flight path angle can be obtained in advance by solving a first-order linear differential equation. These analytic solutions can also be used to estimate the boundary of the normal load factor of the RLV. The effectiveness of the proposed guidance strategy and the accuracy of the analytic solutions are demonstrated through numerical simulations.

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Acknowledgments

This study was cosupported by National Science Foundation of China (No. 11402020, 11372034).

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Published In

Go to Journal of Aerospace Engineering
Journal of Aerospace Engineering
Volume 29Issue 4July 2016

History

Received: Apr 1, 2014
Accepted: Sep 25, 2015
Published online: Jan 13, 2016
Discussion open until: Jun 13, 2016
Published in print: Jul 1, 2016

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Authors

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Ph.D. Candidate, School of Automation, Beijing Institute of Technology, Beijing 100081, China. E-mail: [email protected]
Yongzhi Sheng [email protected]
Lecturer, School of Automation, Beijing Institute of Technology, Beijing 100081, China (corresponding author). E-mail: [email protected]
Xiangdong Liu [email protected]
Professor and Director, Key laboratory for Intelligent Control and Decision of Complex Systems, School of Automation, Beijing Institute of Technology, Beijing 100081, China. E-mail: [email protected]
Lecturer, School of Automation, Beijing Institute of Technology, Beijing 100081, China. E-mail: [email protected]

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