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Sohrabi, Mohsen,Ayoobian, Navid,Shirani, Babak Korean Nuclear Society 2021 Nuclear Engineering and Technology Vol.53 No.1
In the pulsed electron beam generators, such as plasma focus devices and linear induction accelerators whose electron pulse width is in the range of nanosecond and less, as well as in cases where there is no direct access to electron beam, like runaway electrons in Tokamaks, measurement of the electron energy spectrum is a technical challenge. In such cases, the indirect measurement of the electron spectrum by using the bremsstrahlung radiation spectrum associated with it, is an appropriate solution. The problem with this method is that the matrix equation between the two spectrums is an ill-conditioned equation, which results in errors of the measured X-ray spectrum to be propagated with a large coefficient in the estimated electron spectrum. In this study, a method based on the neural network and the MCNP code is presented and evaluated to recover the electron spectrum from the X-ray generated by collision of the electron beam with a target. Multilayer perceptron network showed good accuracy in electron spectrum recovery, so that for the X-ray spectrum with errors of 3% and 10%, the network estimated the electron spectrum with an average standard error of 8% and 11%, on all of the energy intervals.
Seyed Mohammad Hossein Mousakazemi,Navid Ayoobian,GHOLAM REZA ANSARIFAR 한국원자력학회 2018 Nuclear Engineering and Technology Vol.50 No.6
Various controllers such as proportionaleintegralederivative (PID) controllers have been designed andoptimized for load-following issues in nuclear reactors. To achieve high performance, gain tuning is ofgreat importance in PID controllers. In this work, gains of a PID controller are optimized for power-levelcontrol of a typical pressurized water reactor using particle swarm optimization (PSO) algorithm. Thepoint kinetic is used as a reactor power model. In PSO, the objective (cost) function defined by decisionvariables including overshoot, settling time, and stabilization time (stability condition) must be minimized(optimized). Stability condition is guaranteed by Lyapunov synthesis. The simulation resultsdemonstrated good stability and high performance of the closed-loop PSOePID controller to responsepower demand