Estimation, Analysis and Smoothing of Self-Similar Network Induced Delays in Feedback Control of Nuclear Reactors
Institute of Electrical and Electronics Engineers (IEEE)
© Copyright 2011 IEEE
This paper analyzes a nuclear reactor power signal that suffers from network induced random delays in the shared data network while being fed-back to the Reactor Regulating System (RRS). A detailed study is carried out to investigate the self similarity of random delay dynamics due to the network traffic in shared medium. The fractionality or selfsimilarity in the network induced delay that corrupts the measured power signal coming from Self Powered Neutron Detectors (SPND) is estimated and analyzed. As any fractional order randomness is intrinsically different from conventional Gaussian kind of randomness, these delay dynamics need to be handled efficiently, before reaching the controller within the RRS. An attempt has been made to minimize the effect of the randomness in the reactor power transient data with few classes of smoothing filters. The performance measure of the smoothers with fractional order noise consideration is also investigated into.
This work has been supported by the Department of Science & Technology (DST), Govt. of India under the PURSE programme.
This is the author accepted manuscript. The final version is available from IEEE via the DOI in this record.
2011 International Conference on Process Automation, Control and Computing (PACC), Coimbatore, India, 20-22 July 2011, article 5978960