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A robust fault-tolerant model predictive control for linear parameter-varying systems

机译:用于线性参数变化系统的鲁棒容错模型预测控制

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The paper deals with the problem of robust fault-tolerant model predictive control for non-linear discrete-time systems described by the Linear Parameter-Varying model. The proposed approach is based on a multi-stage stage procedure. Robust controller is designed without taking into account the input constraints related with the actuator saturation and deals with previously estimated faults. Thus, to check the compensation feasibility, employed robust invariant set takes into account the input constraints. If the current state does not belong to the robust invariant set, then a predictive control is performed in order to enhance the invariant set. This appealing phenomenon makes it possible to enlarge the domain of attraction, which makes the proposed approach an efficient solution for the fault-tolerant control. The final part of the paper shows an illustrative example for the variable-speed variable-pitch wind turbines.
机译:本文涉及由线性参数变化模型描述的非线性离散时间系统的鲁棒容错模型预测控制问题。 所提出的方法基于多级阶段程序。 设计了强大的控制器,而不考虑与执行器饱和度相关的输入限制以及处理先前估计的故障。 因此,要检查补偿可行性,所采用的鲁棒不变集考虑了输入约束。 如果当前状态不属于坚固的不变集,则执行预测控制以增强不变集。 这种吸引人的现象使得可以扩大吸引力的领域,这使得提出的方法是容错控制的有效解决方案。 本文的最后一部分示出了可变速度可变间距风力涡轮机的说明性示例。

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