Robust adaptive control
Kinetic Model Reduction for Control of Phenol-Formaldehyde Reactive Systems
UKSIM '08 Proceedings of the Tenth International Conference on Computer Modeling and Simulation
Observer-based sensor fault detection and isolation for chemical batch reactors
Engineering Applications of Artificial Intelligence
Issues of Fault Diagnosis for Dynamic Systems
Issues of Fault Diagnosis for Dynamic Systems
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This paper deals with the problem of fault diagnosis for a class of chemical reactions taking place in jacketed batch reactors. An integrated diagnosis scheme, using redundant temperature measurements and a bank of state observers, is adopted to detect, isolate and identify faults. A unified framework is developed to take into account faults affecting sensors, actuators and process. In order to test the effectiveness of the approach, a detailed simulation case study is developed.