Robust multi-parametric model predictive control for discrete-time LPV systems
Robust multi-parametric model predictive control for discrete-time LPV systems
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DOI：
10.1109/acc.2013.6579875
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发表时间：
2013-06
期刊：
影响因子：
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通讯作者：
Hyeygjeon Chang;E. Pistikopoulos;A. Astolfi
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文献类型：
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作者：
Hyeygjeon Chang;E. Pistikopoulos;A. Astolfi
在本文中，我们研究离散时间，线性参数变化系统的mpMPC问题，利用线性时不变（LTI）系统的mpMPC的解决方案。所提出的控制方法产生一个控制器，该控制器适于考虑参数变化。因此，它可以提高性能的mpMPC的鲁棒性的存在下，缓慢变化的参数。预计该方法可以应用于遭受系统参数缓慢变化的过程系统，如老化和退化。所提出的控制方法可以方便地实现作为一个附加到当前的mpMPC没有任何修改的已建立的mpMPC算法的LTI系统。此外，该方法包括简单的计算步骤，因此可以在线运行。
In this paper we study mpMPC problem for discrete-time, linear parameter varying systems exploiting the solution of the mpMPC for linear time invariant (LTI) systems. The proposed control method yields a controller which is adapted to take parameter changes into account. Thus it could improve the performance of mpMPC in terms of robustness to the presence of slowly varying parameters. It is expected that the method can be applied to process systems which suffer from slow variation of system parameters, such as aging and degradation. The proposed control method can be implemented conveniently as an add-on to the current mpMPC without any modification of the established mpMPC algorithm for LTI systems. Also the method consists of simple computational steps thus can be run on-line.