Design of Fault Tolerant System Using Model Predictive Control and Model-Based Fault Identification for a Chemical Reactor

Subject Areas : Renewable energy

Mehrdada Raeiisi ¹ , Seyed Mohammad Kargar Dehnavi ²

1 - Department of Electrical Engineering- Najafabad Branch, Islamic Azad University, Najafabad, Iran
2 - Smart Microgrid Research Center- Najafabad Branch, Islamic Azad University, Najafabad, Iran

Accepted : 0621-03-23 Published : 2021-12-12

Keywords: Model predictive control, Unscented Kalman Filter, Chemical Continuously Stirred Tank Reactor, Fault-Tolerant control,

Abstract :

Due to the possibility of fault in any industrial system's actuators, using a fault-tolerant control structure to compensate for the fault and maintain the system stability seems necessary. In this paper, the Continuously Stirred Tank Reactor model is evaluated, which has a nonlinear model with temperature outputs and heating inlets of interconnected tanks. An Unscented Kalman filter is used to estimate the model's output dynamics, which has a suitable convergence speed and higher accuracy than other estimators. The nonlinear predictive control approach is used to apply the appropriate heating rate to the system to achieve the desired temperatures for each tank when there is no fault in the system. In the proposed design, to compensate for the fault, a sliding mode observer has been used to identify the fault. When a fault is detected, a fuzzy proportional derivative controller is used to control the system's fault. MATLAB software has been to evaluate the proposed method in different working modes of the reactor model. The simulation results show the good performance of the proposed method to compensate for the fault

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