Robust Velocity Control of a Fixed Canard Decoupled Dual-Spin Projectile

This article addresses the challenge of velocity control in fixed canard decoupled dual-spin projectiles, focusing on the nonlinearities and parameter uncertainties of the system. A motor-generator test bench and a dynamical model are developed to emulate the dual-spin system accurately, enabling thorough experimentation and analysis. Robust control strategies, specifically sliding mode control and super-twisting control, are implemented and compared against traditional linear proportional-integral (PI), proportional-integral-derivative (PID), and nonlinear dynamic inversion controllers. Performance evaluations are conducted through two experiments: first, tracking a step reference speed with a fixed driving speed, and second, replicating real-world dual-spin behavior by tracking a variable speed trajectory with varying driving speeds. Results demonstrate that the super-twisting controller and PID controller outperform other strategies, exhibiting minimal reaching time and lower steady-state error during both step reference and disturbance tests.

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Publication Details

Journal
IEEE Transactions on Aerospace and Electronic Systems
Published
2024-09-02
DOI
https://doi.org/10.1109/taes.2024.3452693
Citations
3
Primary Topic
Guidance and Control Systems
Type
article
Field-Weighted Citation Impact
3.90
Controls
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article

Robust Velocity Control of a Fixed Canard Decoupled Dual-Spin Projectile

Mangal Kothari, Jitendra Singh, Soumya Ranjan Sahoo, Sandeep Mohan Nayak
3 citations
IEEE Transactions on Aerospace and Electronic Systems
Guidance and Control Systems
3.90
article

Robust Velocity Control of a Fixed Canard Decoupled Dual-Spin Projectile

Mangal Kothari, Jitendra Singh, Soumya Ranjan Sahoo, Sandeep Mohan Nayak
article en
3 citations

Abstract

This article addresses the challenge of velocity control in fixed canard decoupled dual-spin projectiles, focusing on the nonlinearities and parameter uncertainties of the system. A motor-generator test bench and a dynamical model are developed to emulate the dual-spin system accurately, enabling thorough experimentation and analysis. Robust control strategies, specifically sliding mode control and super-twisting control, are implemented and compared against traditional linear proportional-integral (PI), proportional-integral-derivative (PID), and nonlinear dynamic inversion controllers. Performance evaluations are conducted through two experiments: first, tracking a step reference speed with a fixed driving speed, and second, replicating real-world dual-spin behavior by tracking a variable speed trajectory with varying driving speeds. Results demonstrate that the super-twisting controller and PID controller outperform other strategies, exhibiting minimal reaching time and lower steady-state error during both step reference and disturbance tests.

IEEE Transactions on Aerospace and Electronic SystemsVol. 61(1)
Indian Institute of Technology Kanpur (IN)
Affordable and clean energy
Openalex Percentile: Top 6%
Guidance and Control Systems
3.90
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