Identification of Hybrid Systems with Application to Fault Detection of a Reverse-Flow Reactor System
نویسندگان
چکیده
In this work, the suitability of several techniques for monitoring a reverse-flow reactor system are studied. Reverse reactor systems are operated by periodically reversing the direction of the flow inside the reactor [1],[2]. One benefit of a reverse-flow configuration is that, for exothermic reactions, the system exhibit a heat-trap effect [3] where the temperature profile across the reactor achieves a maximum near the centre of the reactor. This enhanced temperature profile allows the combustion of lean feed streams that could require pre-heating for combustion in a traditional, one-way reactor system. The reverse-flow reactor system under study in this work is used for combustion of low concentration methane streams and has been modeled in the literature [3]. The data used for this work was obtained from the CANMET Energy Technology Centre at Varennes, Quebec Canada. Data from the reactor system under three distinct operating conditions will be studied. The three conditions are distinguished by the frequency at which the feed direction is switched and the concentration of methane in the feed stream. Table 1 lists the switch time and concentration associated with each condition. Plots of temperature versus time for selected thermocouples are shown in Figure 1. As can be seen from Figure 1, the switching flow direction induces temperature oscillations in the reactor. Furthermore, the period of the temperature oscillations is related to the period of switching. Less clear, however is the relationship between the feed concentration and the reactor temperature. As can be seen from Figure 1, the general trend of the mean temperature in the reactor is flat when operating at a feed concentration of 0.3% methane. However, when operating at a feed concentration of 0.7% methane, the averaged temperature increases with time.
منابع مشابه
Fault Detection Based on Type 2 Fuzzy system for Single-Rod Electrohydraulic Actuator
Electro-hydraulic systems with regards to the their specific features and applications among other industrial systems including mechanical, electrical and pneumatic systems, have been widely taken into consideration by the scientists and researchers. Due to the fact that the electro-hydraulic system is inherently a nonlinear system, has some problems such as signals saturation, nonlinear effici...
متن کاملDesign of nonlinear parity approach to fault detection and identification based on Takagi-Sugeno fuzzy model and unknown input observer in nonlinear systems
In this study, a novel fault detection scheme is developed for a class of nonlinear system in the presence of sensor noise. A nonlinear Takagi-Sugeno fuzzy model is implemented to create multiple models. While the T-S fuzzy model is used for only the nonlinear distribution matrix of the fault and measurement signals, a larger category of nonlinear systems is considered. Next, a mapping to decou...
متن کاملAn Unknown Input Observer for Fault Detection Based on Sliding Mode Observer in Electrical Steering Assist Systems
Steering assist system controls the force transfer behavior of the steering system and improves the steering probability of the vehicle. Moreover, it is an interface between the diver and vehicle. Fault detection in electrical assisted steering systems is a challenging problem due to frequently use of these systems. This paper addresses the fault detection and reconstruction in automotive elect...
متن کاملNonlinear Dynamics of a Controlled Reverse Flow Reactor
A hybrid system approach is adopted to study the dynamic behaviour of a controlled reverse flow reactor in which a feedback control law dictates the occurrence of flow inversions. Typical behaviour of hybrid systems (Zeno phenomena) are found coexisting with other regimes like limit cycles and quasi-periodic regimes. Construction of impact maps, continuation of limit cycles and detection of loc...
متن کاملUAV attitude Sensor Fault Detection Based On Fuzzy Logic and by Neural Network Model Identification
Fault detection has always been important in aviation systems to prevent many accidents. This process is possible in different ways. In this paper, we first identify the longitudinal axis plane model using neural network approach. Then based on the obtained model and using fuzzy logic, the aircraft status sensor fault detection unit was designed. The simulation results show that the fault detec...
متن کامل