Nonlinear Model Predictive Control Based on Fixed-Point Iterations

被引：3
|
作者：
Graichen, K. [1 ]
机构：
[1] Univ Ulm, Inst Mess Regel & Mikrotech, D-89081 Ulm, Germany
来源：
AT-AUTOMATISIERUNGSTECHNIK | 2012年 / 60卷 / 08期
关键词：
Model predictive ontrol; nonlinear systems; real-time feasibility; time and memory efficient computation; suboptimality; fixed-point iteration; stability; RECEDING-HORIZON CONTROL; SYSTEMS; STABILITY; MPC; SCHEME; OPTIMIZATION; OPTIMALITY; REGULATOR;
D O I：
10.1524/auto.2012.1016
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
The paper presents a simple model predictive control (MPC) scheme for nonlinear systems under input constraints. The approach solves the optimality conditions with a fixed-point iteration scheme that is easy to implement and of low algorithmic complexity. The numerical efficiency and control performance are evaluated for a simulation example. In addition, experimental results for a magnetic levitation system demonstrate the real-time applicability of the fixed-point iterative MPC scheme.
引用
收藏
页码：442 / 451
页数：10
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