This paper aims to improve the action smoothness of a cascaded online learning flight control system. Although the cascaded structure is widely used in flight control design, its stability can be compromised by oscillatory control actions, which poses challenges for practical engineering applications. To address this issue, we introduce an online temporal smoothness technique and a low-pass filter to reduce the amplitude and frequency of the control actions. Fast Fourier Transform (FFT) is used to analyze policy performance in the frequency domain. Simulation results demonstrate the improvements achieved by the two proposed techniques.

翻译：本文旨在提升级联在线学习飞行控制系统的动作平滑性。尽管级联结构在飞行控制设计中得到广泛应用，但其稳定性可能因振荡性控制动作而受损，这给实际工程应用带来了挑战。为解决这一问题，我们引入了一种在线时间平滑技术和一种低通滤波器，以降低控制动作的幅度和频率。采用快速傅里叶变换（FFT）在频域分析策略性能。仿真结果验证了所提两种技术带来的改进。