Robust partial control design for non-linear control systems: a guidance application

Author:

Binazadeh T12,Yazdanpanah M-J12

Affiliation:

1. School of Electrical and Electronic Engineering, Shiraz University of Technology, Shiraz, Iran

2. Control and Intelligent Processing Center of Excellence, University of Tehran, Tehran, Iran

Abstract

In this paper, a general approach for robust partial stabilization of uncertain non-linear systems is presented. In this approach, the non-linear dynamic system is divided into two subsystems, called the first and the second subsystems. This division is done based on the required stability properties of the system’s states. The reduced input vector (the vector that includes components of the input vector appearing in the first subsystem) is designed to asymptotically stabilize the first subsystem. The proposed scheme is then applied for designing a guidance law as a potential application. Indeed, the paper presents a new approach to the missile guidance problem and shows that asymptotic stability behaviour is not realistic for all states of the guidance system. The effectiveness of the proposed guidance law in interception of manoeuvring targets is demonstrated analytically and through computer simulations.

Publisher

SAGE Publications

Subject

Mechanical Engineering,Control and Systems Engineering

Cited by 6 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Bioinspired pursuit with a swimming robot using feedback control of an internal rotor;Bioinspiration & Biomimetics;2020-03-20

2. The approach of partial stabilisation in design of discrete-time robust guidance laws against manoeuvering targets;The Aeronautical Journal;2020-02-28

3. A novel finite-time disturbance observer-based partial control design: A guidance application;Journal of Vibration and Control;2019-12-18

4. Robust Lyapunov Control Design for Bioinspired Pursuit With Autonomous Hovercraft;IEEE Transactions on Control Systems Technology;2017-03

5. Optimal integral sliding mode guidance law based on generalized model predictive control;Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering;2016-04-21

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