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摘要: 针对有约束多胞不确定系统, 本文提出多步控制集的概念, 并将其作为终端集进而设计鲁棒预测控制器. 由于设计了一系列可变的反馈律, 鲁棒预测控制器可以得到更好的控制性能和更大的初始可行域. 另外, 利用多步控制集的特性, 本文提出了一种将预测控制器的在线计算量转移到离线完成的算法. 通过该算法, 可以有效地平衡鲁棒预测控制器的控制性能、在线计算量和初始可行域. 仿真算例验证了这些算法的有效性.Abstract: By proposing the multi-step control set and using it as the terminal set, a new design method of robust model predictive control (MPC) is presented for the constrained polyhedral uncertain systems. Through designing a series of feedback control laws, the new robust controller can achieve large feasible region and high control performance. The characteristic property of the multi-step control set also makes it possible to derive an algorithm with low online computation burden. It could make a good trade off among the initial feasible region, the control performance, and the online computation burden. The numerical examples verify these results.
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Key words:
- Model predictive control (MPC) /
- robust /
- multi-step control set
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