Intermittent actuator and sensor faults tolerant are simultaneously considered in a distributed control system with imperfect communication network. The asynchronous measurements of different output variables in one sampling period are synchronized through a novel two-stage model-based projection method. Different from centralized control network, in both layer-to-layer and in-layer communication, the packet delay, loss and disordering are corrected by the predicted data from model predictive control. Moreover, a completely distributed state observer is established for both system states and sensor faults problem with bounded noise uncertainties. For the intermittent actuator faults, actuator plug-and-play design methods based on model predictive control has been introduced, making the actuator faults estimation omitted. The distributed stability conditions are derived for the proposed fault-tolerant controller, and the online feasibility is explained in detail. Numerical simulation is given to verify the design procedure. K E Y W O R D S distributed control, fault tolerant control, model predictive control, Networked control systems 1 How to cite this article: Xiao G, Liu F. Observer-based cooperative distributed fault-tolerant model predictive control with imperfect network communication and asynchronous measurements.
In this article, a robust distributed economic model predictive control (DEMPC) approach is developed for plant-wide chemical processes. The proposed approach achieves arbitrary feasible setpoints that may vary frequently, attenuates the plantwide effects of unknown disturbances and minimizes a plant-wide economic cost. In this approach, a plant-wide process is represented as a network of process units and each process unit is controlled by an individual controller which shares a plant-wide optimization economic objective and stability conditions through the network. To
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