A ROBUST FAULT TOLERANT CONTROL FRAMEWORK: APPLICATION TO A SOLAR POWER PLANT

摘要

A robust fault-tolerant control framework is proposed and applied to a Distributed Solar Collector field. The framework considers a model-based approach to estimate the system's state variables for supervision and fault diagnosis purposes and a model-based predictive control combined with a recurrent neural network. The supervisor system includes a fault detection filter to generate residual signals, which are used to isolate and identify the faults. The control system is based on a nonlinear adaptive constrained model-based predictive control scheme with steady-state offset compensation. To assess the controller's robustness and fault tolerance, some faults on the actuator, sensors and system parameters were considered.