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Nonlinear state space modeling of a nuclear reactor has been done for thepurpose of controlling its global power in load following mode. The nonlinearstate space model has been linearized at different percentage of reactor powersand a novel fractional order (FO) fuzzy proportional integral derivative (PID)controller is designed using real coded Genetic Algorithm (GA) to control thereactor power level at various operating conditions. The effectiveness of usingthe fuzzy FOPID controller over conventional fuzzy PID controllers has beenshown with numerical simulations. The controllers tuned with the highest powermodels are shown to work well at other operating conditions as well; over thelowest power model based design and hence are robust with respect to thechanges in nuclear reactor operating power levels. This paper also analyzes thedegradation of nuclear reactor power signal due to network induced randomdelays in shared communication network and due to sensor noise while beingfed-back to the Reactor Regulating System (RRS). The effect of long rangedependence (LRD) which is a practical consideration for the stochasticprocesses like network induced delay and sensor noise has been tackled byoptimum tuning of FO fuzzy PID controllers using GA, while also taking theoperating point shift into consideration.

energy conversion and management

Fractional Order Fuzzy Control of Nuclear Reactor Power with  Thermal-Hydraulic Effects in the Presence of Random Network Induced Delay and  Sensor Noise having Long Range Dependence