The demand for high-precision motion control method for complex systems has increased in the recent decade. The significant challenge is to achieve robustness despite insufficient knowledge about the disturbances acting on a real-time system. Uncertainty and Disturbance Estimator (UDE) method is a vital approach that takes up the challenge, ensuring stability and robustness. This paper is dedicated to highlighting the research done in the field of UDE controller applied with other well-known control methods implemented on various linear and nonlinear systems. This work aims to control the position of pitch axis of the nonlinear aerodynamic system. The phase portrait analysis of the system has been done, which reveals the trajectory and existence of limit cycle. The obtained time responses are diverging, indicating the regions of instability. The novelty lies in the formulation of UDE based controller aimed to robustify the helicopter subsystem. Closed-loop stability is analyzed to validate the controller design. Simulation results for the pitch-axis control are demonstrated to display the efficacy of UDE-based control design against uncertainty and disturbances. The methodology’s efficiency is further demonstrated by comparing the results of UDE control with \(\alpha\)-filter with a well-known fuzzy control technique.

在最近的十年中，对于复杂系统的高精度运动控制方法的需求不断增长。尽管对有关实时系统的干扰知之甚少，但最大的挑战是如何实现鲁棒性。不确定性和干扰估计器（UDE）方法是应对挑战，确保稳定性和鲁棒性的重要方法。本文致力于突出UDE控制器领域的研究成果，并将其与在各种线性和非线性系统上实现的其他著名控制方法一起使用。这项工作旨在控制非线性空气动力系统的俯仰轴位置。对系统进行了相图分析，揭示了轨迹和极限环的存在。所获得的时间响应是发散的，指示不稳定区域。新颖之处在于旨在增强直升机子系统的基于UDE的控制器的表述。分析闭环稳定性以验证控制器设计。俯仰轴控制的仿真结果证明了其可显示基于UDE的控制设计对不确定性和干扰的有效性。通过将UDE控制的结果与\（\ alpha \） -具有众所周知的模糊控制技术的过滤器。