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Health-aware Model Predictive Control including Fault-tolerant Capabilities for Drinking Water Transport Networks

机译:健康感知模型预测控制,包括饮用水网络的容错能力

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This paper presents a health-aware Model Predictive Control (MPC) including fault-tolerant capabilities for drinking water transport networks. When a fault has occurred, the predictive controller must be redesigned to deal with the fault. This is done by considering the system reliability that is incorporated into the MPC model. The inclusion of components and system reliability in the MPC model is done through the Linear Parameter Varying (LPV) modelling approach with the aim of maximizing the availability of the system by considering system reliability. As a result, the MPC design is modified by considering the reliability model such that additionally to achieve the best achievable performance after the fault, the controller try to preserve the remaining useful life. The solution to the optimization problem related to the MPC problem is achieved by solving a series of Quadratic Programming (QP) problems thanks to the proposed LPV formulation. The proposed approach is applied to a part of a real drinking water transport network of Barcelona for demonstrating the performance of the method.
机译:本文提出了一种健康感知模型预测控制(MPC),包括饮用水运输网络的容错能力。发生故障时,必须重新设计预测控制器以处理故障。这是通过考虑并入到MPC模型中的系统可靠性来完成的。在MPC模型中包含组件和系统可靠性是通过线性参数变化(LPV)建模方法来完成的,目的是通过考虑系统可靠性来最大化系统的可用性。结果,通过考虑可靠性模型来修改MPC设计,使得在故障之后实现最佳可实现的性能,控制器尝试保留剩余的使用寿命。通过求解一系列二次编程(QP)问题,可以通过提出的LPV配方来实现与MPC问题相关的优化问题的解决方案。该拟议的方法适用于巴塞罗那真正饮用水运输网络的一部分,以证明该方法的性能。

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