Robust Estimator-Based Dual-Mode Predictive Fault-Tolerant Control for Constrained Linear Parameter Varying Systems
Robust Estimator-Based Dual-Mode Predictive Fault-Tolerant Control for Constrained Linear Parameter Varying Systems
复制标题
约束线性参数变化系统的基于鲁棒估计器的双模式预测容错控制
DOI：
10.1109/tii.2020.3022387
复制
发表时间：
2021-07-01
影响因子：
12.3
通讯作者：
Zhao, Qing
中科院分区：
文献类型：
--
作者：
Han, Kezhen;Feng, Jian;Zhao, Qing
针对具有状态/输入约束的线性参数变化系统，提出了一种新的基于鲁棒估计器的双模预测容错控制设计方案。整个FTC由无约束鲁棒固定FTC分量和约束鲁棒预测FTC分量组成。前者是通过求解广义未知输入观测器和故障补偿控制律的离线集成设计来确定的。它主要用于补偿故障的影响，稳定跟踪误差系统。基于紧化不变集约束和二次规划，构造了鲁棒预测FTC。它用来保证约束条件下整体FTC的递推可行性，因此它的最佳值应该通过实时求解规划问题来确定。给出了一个算法，总结了离线设计和在线实现的所有步骤。最后，在一个实际的DC-DC降压转换器中验证了所提结果的有效性。
This article presents a novel robust estimator-based dual-mode predictive fault-tolerant control (FTC) design scheme for linear parameter varying systems with state/input constraints. The overall FTC is composed of an unconstrained robust fixed FTC component and a constrained robust predictive FTC component. The former is determined by solving an offline integrated design of generalized unknown input observer and fault compensation control law. It is mainly used to compensate the influence of faults and stabilize the tracking error system. The robust predictive FTC is formulated based on the tightened invariant set constraint and quadratic programming. It is used to guarantee the recursive feasibility of the overall FTC under constraints, so its optimal value should be determined by solving the programming problem in real time. An algorithm is also provided to summarize all the involved steps of offline design and online implementation. Finally, the effectiveness of the proposed results is verified in a practical dc-dc buck converter.