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Lookup NU author(s): Dr Sulaiman Lawal,
Dr Jie Zhang
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© 2017 Elsevier B.V. This work presents preservation of the integrity of crude distillation unit, as the first major critical unit in a refinery operation, in the presence of actuator and sensor faults. This is achieved through the application of integrated fault-tolerant model predictive control and fault-tolerant inferential control to respectively accommodate actuator and sensor faults during operation, hence maintaining the integrity of the operation. An interactive dynamic system is developed by integrating an HYSYS crude distillation model with MATLAB to simulate the system for normal and various actuator and sensor faults. Operations of the crude distillation unit is monitored for actuator and sensor faults through MATLAB using the developed dynamic principal component analysis based diagnostics model with data collected during normal operation. When an actuator fault is diagnosed, fault-tolerant model predictive control is applied to restructure the remaining healthy actuators based on pre-assessed control structure reconfiguration. FTIC is applied to accommodate sensor faults when diagnosed using a dynamic partial least square based soft-sensor estimates of the measured controlled variable in place of the faulty sensor outputs. Application results on a simulated crude distillation unit attest to the efficacy of the proposed approaches.
Author(s): Lawal SA, Zhang J
Publication type: Book Chapter
Publication status: Published
Book Title: Computer Aided Chemical Engineering
Online publication date: 09/11/2017
Acceptance date: 01/01/1900
Publisher: Elsevier B.V.
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