Robust and Optimal Control of Quanser Aero

This paper presents the implementation and comparative study of Model Predictive Control (MPC) and Sliding Mode Control (SMC) on a two degree of freedom testbed, Quanser Aero. Both controllers are used to evaluate precise pitch and yaw control with the aim of minimizing settling time, eliminating steady-state error and reducing chattering effect in the output response. Simulation and hardware results are validated to compare their performance and highlight the trade-offs in real-time applications. The SMC enhanced robustness and reduced chattering, whereas MPC ensured smooth transient response with optimal control. These findings help us with the feasibility of implementing control methods in aerospace and robotics applications.

Authors

Publication Details

Published
2025-04-04
DOI
https://doi.org/10.1109/icaeca63854.2025.11012614
Citations
1
Primary Topic
Computational Fluid Dynamics and Aerodynamics
Type
article
Field-Weighted Citation Impact
1.33
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article

Robust and Optimal Control of Quanser Aero

Anil Kumar K, L Mushitha, Sri Priyadharshini B S
1 citations
Computational Fluid Dynamics and Aerodynamics
1.33
article

Robust and Optimal Control of Quanser Aero

Anil Kumar K, L Mushitha, Sri Priyadharshini B S
article en
1 citations

Abstract

This paper presents the implementation and comparative study of Model Predictive Control (MPC) and Sliding Mode Control (SMC) on a two degree of freedom testbed, Quanser Aero. Both controllers are used to evaluate precise pitch and yaw control with the aim of minimizing settling time, eliminating steady-state error and reducing chattering effect in the output response. Simulation and hardware results are validated to compare their performance and highlight the trade-offs in real-time applications. The SMC enhanced robustness and reduced chattering, whereas MPC ensured smooth transient response with optimal control. These findings help us with the feasibility of implementing control methods in aerospace and robotics applications.

Openalex Percentile: Top 22%
Computational Fluid Dynamics and Aerodynamics
1.33
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Robust and Optimal Control of Quanser Aero — Anil Kumar K, L Mushitha, et al. · (2025) | TGRS Research Map | TGRS