Suboptimal nonlinear model predictive control with input move-blocking

被引:1
|
作者
Makarow, Artemi [1 ]
Roesmann, Christoph [1 ]
Bertram, Torsten [1 ]
机构
[1] TU Dortmund Univ, Inst Control Theory & Syst Engn, D-44227 Dortmund, Germany
关键词
Input move-blocking; suboptimal model predictive control; stabilising terminal conditions; recursive feasibility; asymptotic stability; MPC; STRATEGIES; STABILITY; SCHEME;
D O I
10.1080/00207179.2022.2152381
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This paper deals with the integration of input move-blocking into the framework of suboptimal model predictive control. The blocked input parameterisation is explicitly considered as a source of suboptimality. A straightforward integration approach is to hold back a manually generated stabilising fallback solution in some buffer for the case that the optimiser does not find a better input move-blocked solution. An extended approach superimposes the manually generated stabilising warm-start by the move-blocked control sequence and enables a stepwise improvement of the control performance. In addition, this contribution provides a detailed review of the literature on input move-blocked model predictive control and combines important results with the findings of suboptimal model predictive control. A numerical example supports the theoretical results and shows the effectiveness of the proposed approach.
引用
收藏
页码:450 / 459
页数:10
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