飞行器偏航稳定性的内模控制研究

S. Dandan, Yang Tao
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引用次数: 1

摘要

提出了一种基于逆系统的内模控制方法来提高车辆的稳定性。该方法将神经网络逼近的逆模型与原系统级联。基于逆系统方法的思想,对得到的系统进行反馈线性化控制。在阶跃输入和正弦输入两种不同条件下进行了仿真,结果表明,基于该方法的暂态稳态响应不依赖于系统精确的数学模型,能有效提高车辆的横摆稳定性,控制侧滑角和横摆角速度,达到暂态稳态,减轻驾驶员负担。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A research on internal model control for vehicle yaw stability
An internal model control method based on inverse system to improve vehicle stability was proposed. The inverse model approximated by neural network was cascaded with the original system in the method. Based on the idea of the inverse system method, the obtained system was controlled by the method via feedback linearization. A simulation is performed with it during two different conditions: step input and sinusoidal input, the results showed that the transient and steady response based on presented method does not depend on the accurate mathematical model of the system, and the presented control way can improve vehicle's yaw stability and control side slip angle and yaw rate effectively, and achieve steady transient nature, lighten the driver's burden.
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