Akhilanand Pati Tiwari

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The paper presents a method to design a spatial control system based on sliding mode observer. The non-linear model of pressurized heavy water reactor (PHWR) including xenon and iodine dynamics is characterized by 70 state variables and 14 inputs and outputs each. Linear nodal model is obtained by linearizing the non-linear dynamic equations of the reactor(More)
During the operational transients, spatial variations in the flux-shape are possible in Advanced Heavy Water Reactor (AHWR). A mathematical model is developed for the analysis of the reactor in such situations and the signals of in-core and ex-core detectors are obtained, as these are important in many control related applications. Appropriate methods are(More)
—Self Powered Neutron Detectors (SPNDs), which are widely used in a nuclear reactor for flux measurement, typically have different types of dynamics based on their emitter material: one delayed, second prompt and possibly nonlinear response characteristics. The measurement from the SPNDs hence need compensation to obtain the actual input flux. In this(More)
In this paper we propose an adaptive approach to manage large number of correlated sensors. Our approach is able to extract information (models) from these sensors that is relevant for performing fault diagnosis of these sensors. Such a situation involving large number of correlated sensors is encountered in large core nuclear reactors, for example. Since(More)
Gain scheduled P-I plus feed forward controller is designed for the steam drum level of Advanced Heavy Water Reactor(AHWR) by incorporating the coupling effects due to reactor power and steam pressure transients under Alternate and Normal mode of reactor operation. A simplified thermal hydraulics model is developed for the controller design which(More)
In most safety critical systems, control and protection operations are based on signals of various detectors measuring different variables. This signal data should accurately represent the true variations of variables. But in practice, the data from the detectors are not deterministic, since they contain random variations arising from various causes. On the(More)