Fault tolerant compensation strategy for stochastic distribution systems with communication constraints
Fault tolerant compensation strategy for stochastic distribution systems with communication constraints
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DOI：
10.1016/j.jfranklin.2022.10.051
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发表时间：
2022-11
期刊：
影响因子：
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通讯作者：
Lifan Li;L. Yao
中科院分区：
文献类型：
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作者：
Lifan Li;L. Yao
针对具有时延和丢包的随机分布系统，提出了一种基于滑模预测控制的新型容错补偿策略。将从传感器到控制器的随机丢包过程描述为独立的伯努利分布，并引入丢包补偿策略来补偿丢包对系统的影响。为了获取未知故障的信息，设计了基于残差信息的自适应故障诊断观测器。提出了一种滑模控制和模型预测控制相结合的容错控制策略，使系统在发生故障时仍具有良好的跟踪性能。将该算法应用于造纸过程中的纤维长度分布控制，仿真结果证明了该方案的有效性。
A new type of fault tolerant compensation strategy on the basis of sliding mode predictive control is presented for stochastic distribution systems (SDSs) in case of time-delay and packet dropout. The random packet loss process from the sensor to the controller is described as the independent Bernoulli distribution and a packet loss compensation strategy is introduced to compensate for the impact of packet loss on the system. To obtain information about the unknown fault, the adaptive fault diagnosis (FD) observer is devised on the basis of residual information. A fault tolerant control (FTC) strategy that combines the sliding mode control (SMC) and model predictive control (MPC) is put forward to make SDSs with fault still have good tracking performance. The proposed algorithm is applied to the fiber length distribution control in the papermaking process, and the simulation results prove the efficiency of the scheme.