In this paper, robust Fault Detection and Isolation (FDI) design of nonlinear uncertain dynamic system in presence of chemical and thermodynamic phenomenon is addressed. The methodology using a Bond Graph (BG) representation in linear...
moreIn this paper, robust Fault Detection and Isolation (FDI) design of nonlinear uncertain dynamic system in presence of chemical and thermodynamic phenomenon is addressed. The methodology using a Bond Graph (BG) representation in linear fractional transformation (LFT) form is shown to be a valuable tool for developing dynamic threshold generators and achieving robustness against model uncertainty in combination with sensitivity
ABSTRACT The purpose of this paper is to provide new methods for neutral system stability and diagnosis analysis. Based on Kharitonov stability, a new theorem is proposed for delay neutral system with robust control. For stabilized...
moreABSTRACT The purpose of this paper is to provide new methods for neutral system stability and diagnosis analysis. Based on Kharitonov stability, a new theorem is proposed for delay neutral system with robust control. For stabilized neutral system, an unknown input observer with new structure is then investigated to diagnosis this type of system. Tow important conditions are presented to can apply this type of observer. Analysis of the simulation results reveals that the application of proposed theorem and approach provide a comprehensive result for fault neutral system stability and diagnosis.
In this article, a control strategy based on fuzzy approach is proposed for mobile robots with only some states measurement feedback to ensure a stable and accurate navigation, reach a predefined target and avoid obstacle. This approach...
moreIn this article, a control strategy based on fuzzy approach is proposed for mobile robots with only some states measurement feedback to ensure a stable and accurate navigation, reach a predefined target and avoid obstacle. This approach is applied to a mobile robot like a truck with two trailers attached, witch are added to raise the complexity problem. The simulation
ABSTRACT This paper is dedicated to complex system diagnosis. Therefore, a Kalman filter has been proposed to cope with external disturbances and unpredictable faults that are associated with chemical processes. The Continuous Stirred...
moreABSTRACT This paper is dedicated to complex system diagnosis. Therefore, a Kalman filter has been proposed to cope with external disturbances and unpredictable faults that are associated with chemical processes. The Continuous Stirred Tank Reactor (CSTR) model with parametric uncertainties is linearized around a chosen steady state and discretized to apply the diagnosis approach. A Kalman filter is employed to generate conversion estimate for the CSTR using only temperature measurements and precedent estimates. Numerical simulation Results of a no isothermal CSTR with coolant jacket dynamics are presented. Robustness with respect to interpolation errors, disturbances and model parametric uncertainties is achieved by using the obtained Kalman filter.
ABSTRACT This paper deals with the design of a robust fault detection filter for a two stage chemical reactor which is a complex process, susceptible to faults, that can minimize productivity and humans safety. This process is considered...
moreABSTRACT This paper deals with the design of a robust fault detection filter for a two stage chemical reactor which is a complex process, susceptible to faults, that can minimize productivity and humans safety. This process is considered as a time-delay system with both unknown inputs and parameter uncertainties. Therefore, a multi-objective optimization technique is used to introduce a new performance index and formulate the robust fault detection filter design problem as a H∞ model-matching problem. Stability conditions are verified using linear matrix inequality (LMI). Adaptive thresholds are later developed in order to evaluate fault indicators. Simulation tests show the efficiency of the proposed approach.
This second part of the two series papers deals with the problem of bond graph model based fault diagnosis for a class of chemical reactions taking place in a jacketed reactor. A bond graph model based fault detection and isolation...
moreThis second part of the two series papers deals with the problem of bond graph model based fault diagnosis for a class of chemical reactions taking place in a jacketed reactor. A bond graph model based fault detection and isolation approach applied to design of a supervision system for a complex chemical reactor is presented. The nonlinearities and energetic couplings
