Computationally efficient optimization algorithms for model predictive control of linear systems with integer inputs
Computationally efficient optimization algorithms for model predictive control of linear systems with integer inputs
复制标题
用于具有整数输入的线性系统模型预测控制的计算高效优化算法
DOI：
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发表时间：
2015
期刊：
影响因子：
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通讯作者：
R. Kennel
中科院分区：
文献类型：
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作者：
P. Karamanakos;T. Geyer;R. Kennel
具有整数输入的线性系统的模型预测控制问题是一个整数优化问题。对于二次目标函数，优化问题可以转化为整数最小二乘问题。本文提出了解决这一问题的三种算法。可以使用最优性来减少计算时间。一个工业案例研究-一个逆变器驱动的电力驱动系统-被认为是证明所提出的技术的有效性。
The model predictive control problem of linear systems with integer inputs results in an integer optimization problem. In case of a quadratic objective function, the optimization problem can be cast as an integer least-squares (ILS) problem. Three algorithms to solve this problem are proposed in this paper. Optimality can be traded in to reduce the computation time. An industrial case study-an inverter-driven electrical drive system-is considered to demonstrate the effectiveness of the presented techniques.