具有参数不确定性和输入约束的反馈线性系统的鲁棒控制

Won-Kee Son, J. Choi, O. Kwon
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引用次数: 9

摘要

针对具有参数不确定性的约束非线性系统,提出了一种基于线性矩阵不等式(LMI)的鲁棒组合控制方法,即模型预测控制(MPC)与反馈线性化(FL)相结合。该方案的设计分为3个步骤:通过FL对具有参数不确定性的非线性系统进行多边形描述;通过FL映射实际输入约束;基于LMI的约束MPC问题优化。为了验证本文提出的控制方法的性能和有效性,对一个柔性单连杆机械臂进行了仿真。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Robust control of feedback linearizable system with the parameter uncertainty and input constraint
In this paper, a linear matrix inequality (LMI)-based robust combined control method, which is combined model predictive control (MPC) with the feedback linearization (FL), is presented for constrained nonlinear systems with parameter uncertainty. This scheme is designed in the following 3 steps: Polytopic description of nonlinear system with a parameter uncertainty via FL, Mapping of actual input constraint by FL, Optimization of the constrained MPC problem based on LMI. To verify the performance and usefulness of the control method proposed in this paper, some simulations with application to a flexible single link manipulator are performed.
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