Improving Action Smoothness for a Cascaded Online Learning Flight Control System
This work addresses stability issues for practical engineering applications in flight control, but it is incremental as it builds on existing cascaded structures with specific smoothing techniques.
The paper tackled the problem of oscillatory control actions compromising stability in cascaded online learning flight control systems by introducing an online temporal smoothness technique and a low-pass filter, resulting in reduced amplitude and frequency of control actions as demonstrated through simulation.
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.