Table 1 - uploaded by Jorg Onno Entzinger
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Source publication
Safety regulations for nuclear reactor control are very strict, which makes it difficult to implement new control techniques.
One such technique could be fuzzy logic control (FLC), which can provide very desirable advantages over classical control,
like robustness, adaptation and the capability to include human experience into the controller. Simpl...
Citations
Environmental challenges decisions are often characterized by complexity, irreversibility and uncertainty. Much of the complexity arises from the multiple-use nature of goods and services, difficulty in monetary valuation of ecological services and the involvement of numerous stakeholders. From this point of view the objective of this paper is to propose a multi criteria methodological approach based on the Analytic Hierarchy Process methodology (AHP) in order to examine the scope and feasibility of AHP integrated with public participation approach. The main goal is to incorporate the prioritization criteria for the assessment of various energy policies for power alternatives, and evaluating these policies against these criteria. The three types of energy selected are: electricity production from wind farms, thermal power plants and nuclear power plants.
In this study, a trajectory tracking fuzzy genetic controller for Istanbul Technical University Triga Mark-II nuclear research reactor design approach is given. Power output of reactor is controlled along the predefined trajectory by fuzzy logic controller. Designed zero order Sugeno type fuzzy logic controller membership boundary value and rule weights are found by genetic algorithm. Non-chattering control with smooth control surface is also achieved using constrained fitness functions. Simulation results shows that reactor power successfully tracks the given trajectory under various working conditions and reaches the desired power level within the determined period within small tracking error.
