Affiliation:
1. College of Automation Engineering, Nanjing Aeronautic and Astronautic University, Nanjing 210016, China
Abstract
The sliding mode control (SMC) scheme is proposed for near space vehicles (NSVs) with strong nonlinearity, high coupling, parameter uncertainty, and unknown time-varying disturbance based on radial basis function neural networks (RBFNNs) and the nonlinear disturbance observer (NDO). Considering saturation characteristic of rudders, RBFNNs are constructed as a compensator to overcome the saturation nonlinearity. The stability of the closed-loop system is proved, and the tracking error as well as the disturbance observer error can converge to the origin through the Lyapunov analysis. Simulation results are presented to demonstrate the effectiveness of the proposed flight control scheme.
Funder
National Natural Science Foundation of China
Subject
General Engineering,General Mathematics
Cited by
11 articles.
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1. References;Robust Adaptive Control for Fractional-Order Systems with Disturbance and Saturation;2017-10-27
2. Introduction;Robust Adaptive Control for Fractional-Order Systems with Disturbance and Saturation;2017-10-27
3. Dynamic surface tracking controller design for a constrained hypersonic vehicle based on disturbance observer;International Journal of Advanced Robotic Systems;2017-05
4. Disturbance rejection control for attitude control of air-breathing hypersonic vehicles with actuator dynamics;Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering;2016-08-20
5. Robust adaptive constrained backstepping flight controller design for re-entry reusable launch vehicle under input constraint;Advances in Mechanical Engineering;2015-09-01