Model Predictive Control in the Process Industry
Model Predictive Control in the Process Industry
Fault Diagnosis: Models, Artificial Intelligence, Applications
Fault Diagnosis: Models, Artificial Intelligence, Applications
Diagnosis and Fault-Tolerant Control
Diagnosis and Fault-Tolerant Control
Automatica (Journal of IFAC)
Brief paper: Progressive accommodation of parametric faults in linear quadratic control
Automatica (Journal of IFAC)
Sensor and actuator fault diagnosis of systems with discrete inputs and outputs
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Survey Constrained model predictive control: Stability and optimality
Automatica (Journal of IFAC)
The explicit linear quadratic regulator for constrained systems
Automatica (Journal of IFAC)
Brief An algorithm for multi-parametric quadratic programming and explicit MPC solutions
Automatica (Journal of IFAC)
Efficient predictive control and set-point optimization based on a single fuzzy model
ICANNGA'11 Proceedings of the 10th international conference on Adaptive and natural computing algorithms - Volume Part II
Supervisory predictive control and on-line set-point optimization
International Journal of Applied Mathematics and Computer Science
Reconfigurability Analysis for Reliable Fault-Tolerant Control Design
International Journal of Applied Mathematics and Computer Science - Issues in Advanced Control and Diagnosis
Performance Evaluation Based Fault Tolerant Controlwith Actuator Saturation Avoidance
International Journal of Applied Mathematics and Computer Science - Issues in Advanced Control and Diagnosis
Testing fault robustness of model predictive control algorithms
ISARCS'10 Proceedings of the First international conference on Architecting Critical Systems
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Mechanisms of fault tolerance to actuator faults in a control structure with a predictive constrained set-point optimizer are proposed. The structure considered consists of a basic feedback control layer and a local supervisory set-point optimizer which executes as frequently as the feedback controllers do with the aim to recalculate the set-points both for constraint feasibility and economic performance. The main goal of the presented reconfiguration mechanisms activated in response to an actuator blockade is to continue the operation of the control system with the fault, until it is fixed. This may be even long-term, if additional manipulated variables are available. The mechanisms are relatively simple and consist in the reconfiguration of the model structure and the introduction of appropriate constraints into the optimization problem of the optimizer, thus not affecting the numerical effectiveness. Simulation results of the presented control system for a multivariable plant are provided, illustrating the efficiency of the proposed approach.