论文标题
与无与伦比的不确定性的线性参数变化系统的强大自适应控制
Robust Adaptive Control of Linear Parameter-Varying Systems with Unmatched Uncertainties
论文作者
论文摘要
在控制具有大型操作信封的系统时，通常有必要根据操作条件调整所需的动态。本文为线性参数变化（LPV）系统提供了强大的自适应控制体系结构，该系统允许系统地计划所需的动力学，同时能够处理匹配和无与伦比的广泛不确定性，这可以依赖时间和状态。拟议的控制器采用L1自适应控制体系结构来设计自适应控制法和峰值峰值增益（PPG）最小化，以设计强大的控制法来减轻无与伦比的不确定性的影响。利用LPV系统的PPG结合，与名义系统相同的信号相比，我们根据实际闭环系统的输入和输出信号得出了瞬态和稳态性能界限。使用大型信封中的F-16飞机的短期动力学，通过大量模拟来验证该方法的功效。
In controlling systems with large operating envelopes, it is often necessary to adjust the desired dynamics according to operating conditions. This paper presents a robust adaptive control architecture for linear parameter-varying (LPV) systems that allows for the desired dynamics to be systematically scheduled, while being able to handle a broad class of uncertainties, both matched and unmatched, which can depend on both time and states. The proposed controller adopts an L1 adaptive control architecture for designing the adaptive control law and peak-to-peak gain (PPG) minimization for designing the robust control law to mitigate the effect of unmatched uncertainties. Leveraging the PPG bound of an LPV system, we derive transient and steady-state performance bounds in terms of the input and output signals of the actual closed-loop system as compared to the same signals of a nominal system. The efficacy of the proposed method is validated by extensive simulations using the short-period dynamics of an F-16 aircraft operating in a large envelope.
