To improve pilot training in flight simulators, it is important to have accurate motion simulation. The focus of this study is to reduce the impact of load uncertainty on the motion platform controller's ability to track acceleration and velocity trajectories. To achieve this, a dynamic feedforward adaptive control strategy has been developed using the Recursive Extended Least Squares (RELS) method. This method estimates the load inertia parameters of the platform in real time by analyzing input and output signals. Additionally, nonlinear optimization is used to estimate the inherent inertia parameters of the platform's legs using offline input and output signals. The effectiveness of this control strategy in tracking sinusoidal acceleration trajectories is tested to evaluate its motion fidelity. The results indicate that implementing this algorithm improves both acceleration and velocity trajectory tracking precision. This leads to more realistic flight simulators and increased aviation safety.


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    Title :

    A Dynamic Feedforward Adaptive Controller for Flight Simulator Motion Platforms Using RELS Method


    Contributors:
    Fu, Rongjun (author) / Wu, Dongsu (author) / Liang, Yi (author) / Zhao, Wei (author)


    Publication date :

    2023-10-11


    Size :

    6688835 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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