INVESTIGASI PENGENDALIAN LEVEL PERMUKAAN AIR PRESSURIZER DI PWR BERBASIS KENDALI PROPORTIONAL INTEGRAL
Keywords:
Pressurizer, proportional integral, proportional integral derivative, PWRAbstract
The control system in the pressurizer water level is necessary for the safety of the operation of pressurizer water reactors (PWRs). It will compensate t the primary loop volume changes while keeping the existing pressure of the primary loop at a certain set point. Some researchers have proposed both an intelligent system of neural network and a fuzzy logic to improve the capability of the common conventional control systems used in PWR, i.e. Proportional-Integral (PI) or Proportional-Integral-Derivative (PID). However, those studies did not comprehensively assess the potential of the conventional control systems. It has been confirmed that if the parameters of the Pibased control system are determined more carefully, its results will be equivalent to the results of other control systems or even better. This study aims to address this challenging topic by examining and testing control parameters more closely to obtain the best configuration of the PI-based control system. Compared to the results of the artificial neural network-based control system, the PI results of this study provide an increase of rise time around 280 times, better settling time for approximately 293 times, a decrease of overshoot about 1.1 times, and a reduction of the peak around 0.2%. The configuration has also been validated to be stable and able to overcome disturbances for about 10 seconds with a maximum peak level of 0.005%. Moreoever, it can track the set point changes very well.
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