Professor of Mechanical Engineering and Smart Structures, School of Computing Engineering and Mathematics, Western Sydney University, Australia. His research interests cover Industry 4.0, Additive Manufacturing, Advanced Engineering Materials and Structures (Metals and Composites), Multi-scale Modelling of Materials and Structures, Metal Forming and Metal Surface Treatment.
Abstract—This paper presents a novel anti-disturbance tracking control problem for Unmanned Aerial Vehicles(UAVs) systems. Different from the general external disturbances, this paper uses the neural network to describe the nonlinear disturbances. On this basis, a disturbance observer is designed to estimate the nonlinear disturbances. By integrating the estimation of disturbance with P-I control algorithm, a composite controller based on convex optimization theory is designed to ensure the UAVs system stability and convergence of the tracking error to zero. Finally, Matlab / Simulink is used to simulate a Unmanned Aerial Vehicles model, which helps to verify the feasibility and effectiveness of this algorithm.
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