Constrained Continuous-Time Dynamics for Linear Model Predictive Control
Constrained Continuous-Time Dynamics for Linear Model Predictive Control
复制标题
线性模型预测控制的约束连续时间动力学
DOI：
10.1109/lcsys.2022.3180890
复制
发表时间：
2022
影响因子：
3
通讯作者：
A. Adegbege
中科院分区：
文献类型：
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作者：
A. Adegbege
在这封信中，我们考虑使用连续时间动态反馈控制器的线性模型预测控制（MPC）。该控制器采用了积分行动和反windup空调，并确保通过在线仿真的解决方案的轨迹的一个基本MPC问题的最优性。当控制器与一个开环稳定的线性时不变系统互联时，我们利用无源性参数和不变性原理建立了闭环稳定性。我们包括一个计算例子来说明所提出的控制器的有效性和约束处理能力。
In this letter, we consider the use of a continuous-time dynamic feedback controller for linear model predictive control (MPC). The controller incorporates both integral-action and anti-windup conditioning and ensures optimality through online emulation of the solution trajectory of an underlying MPC problem. We establish closed-loop stability when the controller is interconnected with an open-loop stable linear-time invariant system using the passivity argument and the invariance principle. We include a computational example to illustrate the effectiveness and the constraint handling capability of the proposed controller.