Continuous-time non-linear flatness-based predictive control: an exact feedforward linearisation setting with an induction drive example
Continuous-time non-linear flatness-based predictive control: an exact feedforward linearisation setting with an induction drive example
复制标题
基于连续时间非线性平坦度的预测控制：带有感应驱动示例的精确前馈线性化设置
DOI：
10.1080/00207170802090177
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发表时间：
2008
影响因子：
2.1
通讯作者：
E. Delaleau
中科院分区：
文献类型：
--
作者：
V. Hagenmeyer;E. Delaleau
提出了一种基于平面度的非线性连续时间预测控制框架。它将Fliess和Marquez（2000）的结果扩展到非线性情况。作者（Hagenmeyer和Delaleau 2003b）介绍了基于平面度的精确前馈线性化理论，提供了对多变量系统有效的数学设置。因此，微分平面性不仅产生了考虑各自系统约束的预测轨迹的简单计算，而且允许在二自由度控制结构中使用简单的线性反馈部分。此外，这种形式允许人们处理非最小相位系统，并进一步处理参数不确定性和外生扰动。各自的健壮性分析工具是可用的。最后，详细讨论了一个感应驱动实例，并给出了该快速机电系统的实验结果。
A general flatness-based framework for non-linear continuous-time predictive control is presented. It extends the results of Fliess and Marquez (2000) to the non-linear case. The mathematical setting, which is valid for multivariable systems, is provided by the theory of flatness-based exact feedforward linearisation introduced by the authors (Hagenmeyer and Delaleau 2003b). Thereby differential flatness does not only yield an easy calculation of the predicted trajectories considering the respective system constraints, but allows to use simple linear feedback parts in a two-degree-of-freedom control structure. Moreover, this formalism permits one to handle non-minimum phase systems, and furthermore to deal with parameter uncertainties and exogenous perturbations. Respective robustness analysis tools are available. Finally, an induction drive example is discussed in detail and experimental results for this fast electro-mechanical system are presented.
影响因子：
6.4
作者：
CLARKE, DW;MOHTADI, C;TUFFS, PS
通讯作者：
TUFFS, PS