首页> 外文期刊>Proceedings of the Institution of Mechanical Engineers >Slow-fast loop gain-scheduled switching attitude tracking control for a near-space hypersonic vehicle
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Slow-fast loop gain-scheduled switching attitude tracking control for a near-space hypersonic vehicle

机译:近空高超音速飞行器的慢速环路增益预定切换姿态跟踪控制

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摘要

This article develops a slow-fast loop polytopic linear parameter-varying model and proposes a systematic gain-scheduled switching attitude tracking control scheme for a near-space hypersonic vehicle. First, the dynamics of near-space hypersonic vehicle is modeled as a slow-fast loop polytopic linear parameter-varying model using the Jacobian linearization and tensor-product model transformation approach. Open-loop simulation verification illustrates that the developed polytopic, linear parameter-varying model captures the local nonlinearities of the original nonlinear system; therefore, it is suitable for model-based control. Second, for less conservative controller design purpose, the flight envelope is divided into smaller subregions, a family of slow loop and fast loop gain-scheduled controllers are designed, and each of them is suitable for a specific parameter subspace; the slow loop and fast loop gain-scheduled controllers are then switched in order to guarantee the closed-loop near-space hypersonic vehicle system to be asymptotically stable and satisfy a specified performance criteria. The resulting slow loop and fast loop gain-scheduled switching controllers are found by solving a convex constraint problem that can be efficiently solved using available linear matrix inequality techniques. Finally, numerical simulations have demonstrated the effectiveness of the proposed method.
机译:本文建立了一种慢速快速循环的多变量线性参数变化模型,并提出了一种系统的增益控制的近空高超音速飞行器切换姿态跟踪控制方案。首先,使用雅可比线性化和张量乘积模型转换方法将近空间高超音速飞行器的动力学建模为慢速快速循环多变量线性参数变化模型。开环仿真验证表明,开发的多线性参数可变模型能够捕获原始非线性系统的局部非线性。因此,它适用于基于模型的控制。其次,出于不太保守的控制器设计目的,将飞行包络线划分为较小的子区域,设计了一系列慢环和快环增益调度的控制器,它们每个都适用于特定的参数子空间。然后切换慢速回路和快速回路增益调度控制器,以确保闭环近空间高超音速飞行器系统渐近稳定并满足指定的性能标准。通过解决凸约束问题可以找到所得的慢速环路和快速环路增益调度开关控制器,该问题可以使用可用的线性矩阵不等式技术有效解决。最后,数值模拟证明了该方法的有效性。

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