Improved Fractional-Order Extended State Observer-Based Hypersonic Vehicle Active Disturbance Rejection Control

Abstract

In this work, a novel fractional-order extended state observer (FOESO)-based linear active disturbance rejection control (LADRC) method is firstly proposed for a hypersonic vehicle (HV) to address the measurement noise problem. The uncertainty and external disturbance of an HV was discussed and addressed by the active disturbance rejection control and many different control methods in recent decades. However, the research of an HV with measurement noise is insufficient. For the LADRC, the anti-noise ability is highly dependent on the bandwidth of the extended state observer (ESO). Meanwhile, the control performance of the LADRC is relevant to the bandwidth. The FOESO is presented, aiming to address the tradeoff of the control performance or noise suppression. The FOESO-based LADRC (FOESO-LADRC) introduces fractional calculus. It can enhance the anti-noise ability with little influence on the control performance. The simulation results show that the FOESO-LADRC has a significant improvement in the noise suppression. In addition, compared with the LADRC, it obtains a better solution to address the tradeoff between the bandwidth and noise impact.

An Adaptation of a Sliding Mode Classical Observer to a Fractional-Order Observer for Disturbance Reconstruction of a UAV Model: A Riemann–Liouville Fractional Calculus Approach

“…FOCs have demonstrated superior performance in many control systems compared to controllers designed using the traditional approach [31]. In [32], fractional calculus is incorporated with the observer's gain, providing an improved solution that effectively balances anti-noise capabilities with control performance considerations for disturbance rejection in hypersonic vehicles. In [33], a combination of disturbance observer-based control and fractional-order control is employed to enhance robustness and performance.…”

A Fractional-Order ADRC Architecture for a PMSM Position Servo System with Improved Disturbance Rejection

“…Ref. [27] proposed a fractional-order ESO-based ADRC method to address the trade-off between control performance and noise suppression. Ref.…”

“…(3) Simulation and experimental comparison tests on a PMSM position servo system were conducted to verify the effectiveness of the proposed method. Linear GESO Fractional-Order PD [20] Linear Model-Aided ESO Model Predictive Control [25] Nonlinear Nonlinear ESO Fractional-order PD [29] Linear LESO Fractional-Order PD [26,27] Linear FOESO PID [28] Linear FOESO Fuzzy Self-Tuning PD…”