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Fault-tolerant optimal control of a building HVAC system

机译：建筑物HVAC系统的容错最佳控制

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This article presents the development and application of a fault-tolerant control technology, its online implementation, and results from several tests conducted for a large-sized HVAC system. By integrating model-based model predictive control and data-driven fault detection and diagnosis algorithms, the technology automatically adapts the HVAC control laws to a set of subsystem faults and can therefore reach and maintain the largest energy consumption reduction levels that are achievable at any point throughout a building lifecycle. The model predictive control algorithm generates optimal set-points that minimize energy consumption for the HVAC actuator loops while meeting equipment operational constraints and occupant thermal comfort constraints. The fault detection and diagnosis algorithm uses probabilistic graphical models to detect and classify in real time potential faults of the HVAC actuators based on data from multiple sensors. The fault-tolerant control system is realized by executing the two algorithms on the same platform, within the same framework, and by using the fault detection and diagnosis algorithm's output to continuously update the model predictive control algorithm constraints. The proposed integrated technology is executed at the supervisory level in a hierarchical control architecture as an extension of a baseline building management system. The performance and limitations of the fault detection and diagnosis, model predictive control, and fault-tolerant control algorithms are illustrated and discussed using measurement data recorded from multiple tests.
机译：本文介绍了容错控制技术的开发和应用，其在线实现以及对大型HVAC系统进行的几次测试的结果。通过集成基于模型的模型预测控制和数据驱动的故障检测与诊断算法，该技术可自动将HVAC控制律适应一组子系统故障，因此可以达到并保持在任何时候都可实现的最大能耗降低水平在整个建筑生命周期中。模型预测控制算法可生成最佳设定点，从而将HVAC执行器回路的能耗降至最低，同时满足设备运行约束和乘员的热舒适约束。故障检测和诊断算法使用概率图形模型基于来自多个传感器的数据实时检测和分类HVAC执行器的潜在故障。容错控制系统是通过在相同平台上，相同框架内执行两种算法，并利用故障检测和诊断算法的输出来连续更新模型预测控制算法约束来实现的。所提出的集成技术是作为基础建筑物管理系统的扩展，在分级控制体系结构的管理级别上执行的。使用从多个测试中记录的测量数据，说明并讨论了故障检测和诊断，模型预测控制以及容错控制算法的性能和局限性。

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